The HITECH Era in Retrospect

Anticoagulation Management: Current Landscape and Future Trends

Blood transports nutrients and oxygen to the cells while removing the waste. It also possesses a hemostasis function to prevent excessive bleeding. However, abnormal clot formation (thrombosis) within healthy blood vessels can lead to life-threatening conditions like heart attacks, strokes, and pulmonary embolism. This review explores anticoagulants, their historical aspects, current clinical applications, and future trends. Anticoagulants play a critical role in preventing and treating thrombosis by interfering with different stages of blood clotting. The journey began with heparin, a rapidly acting injectable medication discovered in 1916. The introduction of warfarin in the 1950s revolutionized anticoagulation by offering long-term oral regimens. Today, anticoagulants are crucial for managing conditions like deep vein thrombosis and pulmonary embolism, especially in an aging population with a rising prevalence of thrombotic complications. Three main types of anticoagulants are used today: vitamin K antagonists (VKAs), injectable heparins, and direct oral anticoagulants (DOACs). Despite advancements, managing anticoagulant therapy remains complex due to individual patient variability, the need for regular monitoring, and the delicate balance between preventing thrombosis and bleeding risks. Emerging trends include the development of factor XIa inhibitors, which promise more targeted thrombosis prevention with potentially lower bleeding risks. This review highlights the ongoing innovation in anticoagulant development, the need for precise management, and potential future avenues like factor XIa inhibitors. Additionally, artificial intelligence holds promise for improving patient outcomes and addressing the complexities of thrombotic disease management by personalizing therapy and reducing bleeding risks.

Impact of COVID-19 lockdown on patient-provider electronic communications

BACKGROUND

SARS CoV-2 virus (COVID-19) impacted the practice of healthcare in the United States, with technology being used to facilitate access to care and reduce iatrogenic spread. Since then, patient message volume to primary care providers has increased. However, the volume and trend of electronic communications after lockdown remain poorly described in the literature.

METHODS

All incoming inbox items (telephone calls, refill requests, and electronic messages) sent to providers from patients amongst four primary care clinics were collected. Inbox item rates were calculated as a ratio of items per patient encountered each week. Trends in inbox rates were assessed during 12 months before and after lockdown (March 1st, 2020). Logistic regression was utilized to examine the effects of the lockdown on inbox item rate post-COVID-19 lockdown as compared to the pre-lockdown period.

RESULTS

Before COVID-19 lockdown, 2.07 new inbox items per encounter were received, which increased to 2.83 items after lockdown. However, only patient-initiated electronic messages increased after lockdown and stabilized at a rate higher than the pre-COVID-19 period (aRR 1.27, p-value < 0.001). In contrast, prescription refill requests and telephone calls quickly spiked, then returned to pre-lockdown levels.

CONCLUSION

Based on our observations, providers experienced a quick increase in all inbox items. However, only electronic messages had a sustained increase, exacerbating the workload of administrators, staff, and clinical providers. This study directly correlates healthcare technology adoption to a significant disruptive event but also shows additional challenges to the healthcare system that must be considered with these changes.

Predicting Primary Care Physician Burnout From Electronic Health Record Use Measures

OBJECTIVE

To evaluate the ability of routinely collected electronic health record (EHR) use measures to predict clinical work units at increased risk of burnout and potentially most in need of targeted interventions.

METHODS

In this observational study of primary care physicians, we compiled clinical workload and EHR efficiency measures, then linked these measures to 2 years of well-being surveys (using the Stanford Professional Fulfillment Index) conducted from April 1, 2019, through October 16, 2020. Physicians were grouped into training and confirmation data sets to develop predictive models for burnout. We used gradient boosting classifier and other prediction modeling algorithms to quantify the predictive performance by the area under the receiver operating characteristics curve (AUC).

RESULTS

Of 278 invited physicians from across 60 clinics, 233 (84%) completed 396 surveys. Physicians were 67% women with a median age category of 45 to 49 years. Aggregate burnout score was in the high range (≥3.325/10) on 111 of 396 (28%) surveys. Gradient boosting classifier of EHR use measures to predict burnout achieved an AUC of 0.59 (95% CI, 0.48 to 0.77) and an area under the precision-recall curve of 0.29 (95% CI, 0.20 to 0.66). Other models' confirmation set AUCs ranged from 0.56 (random forest) to 0.66 (penalized linear regression followed by dichotomization). Among the most predictive features were physician age, team member contributions to notes, and orders placed with user-defined preferences. Clinic-level aggregate measures identified the top quartile of clinics with 56% sensitivity and 85% specificity.

CONCLUSION

In a sample of primary care physicians, routinely collected EHR use measures demonstrated limited ability to predict individual burnout and moderate ability to identify high-risk clinics.

Digital Maturity as a Predictor of Quality and Safety Outcomes in US Hospitals: Cross-Sectional Observational Study

BACKGROUND

This study demonstrates that digital maturity contributes to strengthened quality and safety performance outcomes in US hospitals. Advanced digital maturity is associated with more digitally enabled work environments with automated flow of data across information systems to enable clinicians and leaders to track quality and safety outcomes. This research illustrates that an advanced digitally enabled workforce is associated with strong safety leadership and culture and better patient health and safety outcomes.

OBJECTIVE

This study aimed to examine the relationship between digital maturity and quality and safety outcomes in US hospitals.

METHODS

The data sources were hospital safety letter grades as well as quality and safety scores on a continuous scale published by The Leapfrog Group. We used the digital maturity level (measured using the Electronic Medical Record Assessment Model [EMRAM]) of 1026 US hospitals. This was a cross-sectional, observational study. Logistic, linear, and Tweedie regression analyses were used to explore the relationships among The Leapfrog Group's Hospital Safety Grades, individual Leapfrog safety scores, and digital maturity levels classified as advanced or fully developed digital maturity (EMRAM levels 6 and 7) or underdeveloped maturity (EMRAM level 0). Digital maturity was a predictor while controlling for hospital characteristics including teaching status, urban or rural location, hospital size measured by number of beds, whether the hospital was a referral center, and type of hospital ownership as confounding variables. Hospitals were divided into the following 2 groups to compare safety and quality outcomes: hospitals that were digitally advanced and hospitals with underdeveloped digital maturity. Data from The Leapfrog Group's Hospital Safety Grades report published in spring 2019 were matched to the hospitals with completed EMRAM assessments in 2019. Hospital characteristics such as number of hospital beds were obtained from the CMS database.

RESULTS

The results revealed that the odds of achieving a higher Leapfrog Group Hospital Safety Grade was statistically significantly higher, by 3.25 times, for hospitals with advanced digital maturity (EMRAM maturity of 6 or 7; odds ratio 3.25, 95% CI 2.33-4.55).

CONCLUSIONS

Hospitals with advanced digital maturity had statistically significantly reduced infection rates, reduced adverse events, and improved surgical safety outcomes. The study findings suggest a significant difference in quality and safety outcomes among hospitals with advanced digital maturity compared with hospitals with underdeveloped digital maturity.

Dimensions of health data Integrity

Health data integrity, as an emergent concept, stands to reshape the lifecycle of data-driven healthcare and research, ensuring a shared commitment to ethical practices and improved patient care.

Impact of a Best Practices Program in Patients with Relapsed/Refractory Multiple Myeloma Receiving Selinexor

Best practice (BP) in cancer care consists of a multifaceted approach comprising individualized treatment plans, evidence-based medicine, the optimal use of supportive care and patient education. We investigated the impact of a BP program in patients with relapsed/refractory multiple myeloma (RRMM) receiving selinexor. Features of the BP program that were specific to selinexor were initiating selinexor at doses ≤80 mg once weekly and the upfront use of standardized antiemetics. Study endpoints included time to treatment failure (TTF), duration of therapy, dose limiting toxicities and overall survival. Comparative analysis on TTF and duration of therapy was conducted using a log-rank test and multivariate Cox proportional hazard regression. Over the ensuing 12-month post-BP period, 41 patients received selinexor-based therapy compared to 68 patients who received selinexor-based therapy pre-BP implementation. Patients treated in the post-BP period had reductions in TTF (hazard ratio [HR] = 0.50; 95% CI: 0.27 to 0.92). Patients in the pre-BP period were four times more likely to stop therapy than those in the post-period (odds ratio [OR] = 4.0, 95% CI: 1.75 to 9.3). The findings suggest a BP program tailored to selinexor could increase the time to treatment failure, increase treatment duration and lower the incidence of drug limiting toxicities.

Variation in Family Physicians' Experiences Across Different Electronic Health Record Platforms: a Descriptive Study

BACKGROUND

Electronic health records (EHRs) have been connected to excessive workload and physician burnout. Little is known about variation in physician experience with different EHRs, however.

OBJECTIVE

To analyze variation in reported usability and satisfaction across EHRs.

DESIGN

Internet-based survey available between December 2021 and October 2022 integrated into American Board of Family Medicine (ABFM) certification process.

PARTICIPANTS

ABFM-certified family physicians who use an EHR with at least 50 total responding physicians.

MEASUREMENTS

Self-reported experience of EHR usability and satisfaction.

KEY RESULTS

We analyzed the responses of 3358 physicians who used one of nine EHRs. Epic, athenahealth, and Practice Fusion were rated significantly higher across six measures of usability. Overall, between 10 and 30% reported being very satisfied with their EHR, and another 32 to 40% report being somewhat satisfied. Physicians who use athenahealth or Epic were most likely to be very satisfied, while physicians using Allscripts, Cerner, or Greenway were the least likely to be very satisfied. EHR-specific factors were the greatest overall influence on variation in satisfaction: they explained 48% of variation in the probability of being very satisfied with Epic, 46% with eClinical Works, 14% with athenahealth, and 49% with Cerner.

CONCLUSIONS

Meaningful differences exist in physician-reported usability and overall satisfaction with EHRs, largely explained by EHR-specific factors. User-centric design and implementation, and robust ongoing evaluation are needed to reduce physician burden and ensure excellent experience with EHRs.

Optimizing Physician Payment for a Single-Payer Healthcare System

Current forms of payment of independent physicians in U.S. health care may incentivize more care (fee-for-service) or less care (capitation), be inequitable across specialties (resource-based relative value scale [RBRVS]), and distract from clinical care (value-based payments [VBP]). Alternative systems should be considered as part of health care financing reform. We propose a "Fee-for-Time" approach that would pay independent physicians using an hourly rate based on years of necessary training applied to time for service delivery and documentation. RBRVS overvalues procedures and undervalues cognitive services. VBP shifts insurance risk onto physicians, introducing incentives to game performance metrics and to avoid potentially expensive patients. The administrative requirements of current payment methods introduce large administrative costs and undermine physician motivation and morale. We describe a Fee-for-Time payment scenario. A combination of single-payer financing and payment of independent physicians using the Fee-for-Time proposal would be simpler, more objective, incentive-neutral, fairer, less easily gamed, and less expensive to administer than any system with physician payment based on fee-for-service using RBRVS and VBP.

Privacy-preserving integration of multiple institutional data for single-cell type identification with scPrivacy

The rapid accumulation of large-scale single-cell RNA-seq datasets from multiple institutions presents remarkable opportunities for automatically cell annotations through integrative analyses. However, the privacy issue has existed but being ignored, since we are limited to access and utilize all the reference datasets distributed in different institutions globally due to the prohibited data transmission across institutions by data regulation laws. To this end, we present scPrivacy, which is the first and generalized automatically single-cell type identification prototype to facilitate single cell annotations in a data privacy-preserving collaboration manner. We evaluated scPrivacy on a comprehensive set of publicly available benchmark datasets for single-cell type identification to stimulate the scenario that the reference datasets are rapidly generated and distributed in multiple institutions, while they are prohibited to be integrated directly or exposed to each other due to the data privacy regulations, demonstrating its effectiveness, time efficiency and robustness for privacy-preserving integration of multiple institutional datasets in single cell annotations.

Do electronic health record systems "dumb down" clinicians?

A panel sponsored by the American College of Medical Informatics (ACMI) at the 2021 AMIA Symposium addressed the provocative question: "Are Electronic Health Records dumbing down clinicians?" After reviewing electronic health record (EHR) development and evolution, the panel discussed how EHR use can impair care delivery. Both suboptimal functionality during EHR use and longer-term effects outside of EHR use can reduce clinicians' efficiencies, reasoning abilities, and knowledge. Panel members explored potential solutions to problems discussed. Progress will require significant engagement from clinician-users, educators, health systems, commercial vendors, regulators, and policy makers. Future EHR systems must become more user-focused and scalable and enable providers to work smarter to deliver improved care.

Physician Health and Wellness

Physician health and wellness is a complex topic relevant to all pediatricians. Survey studies have established that pediatricians experience burnout at comparable rates to colleagues across medical specialties. Prevalence of burnout increased for all pediatric disciplines from 2011 to 2014. During that time, general pediatricians experienced a more than 10% increase in burnout, from 35.3% to 46.3%. Pediatric medical subspecialists and pediatric surgical specialists experienced slightly higher baseline rates of burnout in 2011 and similarly increased to just under 50%. Women currently constitute a majority of pediatricians, and surveys report a 20% to 60% higher prevalence of burnout in women physicians compared with their male counterparts. The purpose of this report is to update the reader and explore approaches to pediatrician well-being and reduction of occupational burnout risk throughout the stages of training and practice. Topics covered include burnout prevalence and diagnosis; overview of national progress in physician wellness; update on physician wellness initiatives at the American Academy of Pediatrics; an update on pediatric-specific burnout and well-being; recognized drivers of burnout (organizational and individual); a review of the intersection of race, ethnicity, gender, and burnout; protective factors; and components of wellness (organizational and individual). The development of this clinical report has inevitably been shaped by the social, cultural, public health, and economic factors currently affecting our communities. The coronavirus disease 2019 (COVID-19) pandemic has layered new and significant stressors onto medical practice with physical, mental, and logistical challenges and effects that cannot be ignored.

Towards an Ontology-Based Phenotypic Query Model

Clinical research based on data from patient or study data management systems plays an important role in transferring basic findings into the daily practices of physicians. To support study recruitment, diagnostic processes, and risk factor evaluation, search queries for such management systems can be used. Typically, the query syntax as well as the underlying data structure vary greatly between different data management systems. This makes it difficult for domain experts (e.g., clinicians) to build and execute search queries. In this work, the Core Ontology of Phenotypes is used as a general model for phenotypic knowledge. This knowledge is required to create search queries that determine and classify individuals (e.g., patients or study participants) whose morphology, function, behaviour, or biochemical and physiological properties meet specific phenotype classes. A specific model describing a set of particular phenotype classes is called a Phenotype Specification Ontology. Such an ontology can be automatically converted to search queries on data management systems. The methods described have already been used successfully in several projects. Using ontologies to model phenotypic knowledge on patient or study data management systems is a viable approach. It allows clinicians to model from a domain perspective without knowing the actual data structure or query language.

Are You Using the Right Electronic Health Record?

With the enactment of the Health Information Technology for Economic and Clinical Health (HITECH) Act in 2009, hospitals and physician practices across the country converted from a system of paper recordkeeping to fully integrated electronic health records (EHR).¹, ² With financial incentives in hand, there was a rush to market to acquire and implement these systems. Fast-forward 10 years, and it is apparent that the EHR space has significantly evolved in technology, processes, and policies.³ These changes should make organizations examine their EHR and organizational models and consider if they are using the best EHR to meet their organizational needs for the next 20 years. The National Institutes of Health (NIH) Clinical Center (CC) implemented its EHR in 2004 and, recognizing all of the new participants, technologies, and the advancement of clinical research needs since then, made the decision to embark on a comprehensive business case analysis to evaluate the best solution to meet the CC's and NIH's needs over the next 20 years. The goal was to answer this question: "Given the evolution of the EHR market, is the CC on the best platform to meet its needs now and in the future?"

Digital Health Policy and Programs for Hospital Care in Vietnam: Scoping Review

BACKGROUND

There are a host of emergent technologies with the potential to improve hospital care in low- and middle-income countries such as Vietnam. Wearable monitors and artificial intelligence-based decision support systems could be integrated with hospital-based digital health systems such as electronic health records (EHRs) to provide higher level care at a relatively low cost. However, the appropriate and sustainable application of these innovations in low- and middle-income countries requires an understanding of the local government's requirements and regulations such as technology specifications, cybersecurity, data-sharing protocols, and interoperability.

OBJECTIVE

This scoping review aims to explore the current state of digital health research and the policies that govern the adoption of digital health systems in Vietnamese hospitals.

METHODS

We conducted a scoping review using a modification of the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. PubMed and Web of Science were searched for academic publications, and Thư Viện Pháp Luật, a proprietary database of Vietnamese government documents, and the Vietnam Electronic Health Administration website were searched for government documents. Google Scholar and Google Search were used for snowballing searches. The sources were assessed against predefined eligibility criteria through title, abstract, and full-text screening. Relevant information from the included sources was charted and summarized. The review process was primarily undertaken by one researcher and reviewed by another researcher during each step.

RESULTS

In total, 11 academic publications and 20 government documents were included in this review. Among the academic studies, 5 reported engineering solutions for information systems in hospitals, 2 assessed readiness for EHR implementation, 1 tested physicians' performance before and after using clinical decision support software, 1 reported a national laboratory information management system, and 2 reviewed the health system's capability to implement eHealth and artificial intelligence. Of the 20 government documents, 19 were promulgated from 2013 to 2020. These regulations and guidance cover a wide range of digital health domains, including hospital information management systems, general and interoperability standards, cybersecurity in health organizations, conditions for the provision of health information technology (HIT), electronic health insurance claims, laboratory information systems, HIT maturity, digital health strategies, electronic medical records, EHRs, and eHealth architectural frameworks.

CONCLUSIONS

Research about hospital-based digital health systems in Vietnam is very limited, particularly implementation studies. Government regulations and guidance for HIT in health care organizations have been released with increasing frequency since 2013, targeting a variety of information systems such as electronic medical records, EHRs, and laboratory information systems. In general, these policies were focused on the basic specifications and standards that digital health systems need to meet. More research is needed in the future to guide the implementation of digital health care systems in the Vietnam hospital setting.

Best practices in the real-world data life cycle

With increasing digitization of healthcare, real-world data (RWD) are available in greater quantity and scope than ever before. Since the 2016 United States 21st Century Cures Act, innovations in the RWD life cycle have taken tremendous strides forward, largely driven by demand for regulatory-grade real-world evidence from the biopharmaceutical sector. However, use cases for RWD continue to grow in number, moving beyond drug development, to population health and direct clinical applications pertinent to payors, providers, and health systems. Effective RWD utilization requires disparate data sources to be turned into high-quality datasets. To harness the potential of RWD for emerging use cases, providers and organizations must accelerate life cycle improvements that support this process. We build on examples obtained from the academic literature and author experience of data curation practices across a diverse range of sectors to describe a standardized RWD life cycle containing key steps in production of useful data for analysis and insights. We delineate best practices that will add value to current data pipelines. Seven themes are highlighted that ensure sustainability and scalability for RWD life cycles: data standards adherence, tailored quality assurance, data entry incentivization, deploying natural language processing, data platform solutions, RWD governance, and ensuring equity and representation in data.

Quantitating and assessing interoperability between electronic health records

OBJECTIVES

Electronic health records (EHRs) contain a large quantity of machine-readable data. However, institutions choose different EHR vendors, and the same product may be implemented differently at different sites. Our goal was to quantify the interoperability of real-world EHR implementations with respect to clinically relevant structured data.

MATERIALS AND METHODS

We analyzed de-identified and aggregated data from 68 oncology sites that implemented 1 of 5 EHR vendor products. Using 6 medications and 6 laboratory tests for which well-accepted standards exist, we calculated inter- and intra-EHR vendor interoperability scores.

RESULTS

The mean intra-EHR vendor interoperability score was 0.68 as compared to a mean of 0.22 for inter-system interoperability, when weighted by number of systems of each type, and 0.57 and 0.20 when not weighting by number of systems of each type.

DISCUSSION

In contrast to data elements required for successful billing, clinically relevant data elements are rarely standardized, even though applicable standards exist. We chose a representative sample of laboratory tests and medications for oncology practices, but our set of data elements should be seen as an example, rather than a definitive list.

CONCLUSIONS

We defined and demonstrated a quantitative measure of interoperability between site EHR systems and within/between implemented vendor systems. Two sites that share the same vendor are, on average, more interoperable. However, even for implementation of the same EHR product, interoperability is not guaranteed. Our results can inform institutional EHR selection, analysis, and optimization for interoperability.

Comparing International Experiences With Electronic Health Records Among Emergency Medicine Physicians in the United States and Norway: Semistructured Interview Study

Background

The variability in physicians’ attitudes regarding electronic health records (EHRs) is widely recognized. Both human and technological factors contribute to user satisfaction. This exploratory study considers these variables by comparing emergency medicine physician experiences with EHRs in the United States and Norway.

Objective

This study is unique as it aims to compare individual experiences with EHRs. It creates an opportunity to expand perspective, challenge the unknown, and explore how this technology affects clinicians globally. Research often highlights the challenge that health information technology has created for users: Are the negative consequences of this technology shared among countries? Does it affect medical practice? What determines user satisfaction? Can this be measured internationally? Do specific factors account for similarities or differences? This study begins by investigating these questions by comparing cohort experiences. Fundamental differences between nations will also be addressed.

Methods

We used semistructured, participant-driven, in-depth interviews (N=12) for data collection in conjunction with ethnographic observations. The conversations were recorded and transcribed. Texts were then analyzed using NVivo software (QSR International) to develop codes for direct comparison among countries. Comprehensive understanding of the data required triangulation, specifically using thematic and interpretive phenomenological analysis. Narrative analysis ensured appropriate context of the NVivo (QSR International) query results.

Results

Each interview resulted in mixed discussions regarding the benefits and disadvantages of EHRs. All the physicians recognized health care’s dependence on this technology. In Norway, physicians perceived more benefits compared with those based in the United States. Americans reported fewer benefits and disproportionally high disadvantages. Both cohorts believed that EHRs have increased user workload. However, this was mentioned 2.6 times more frequently by Americans (United States [n=40] vs Norway [n=15]). Financial influences regarding health information technology use were of great concern for American physicians but rarely mentioned among Norwegian physicians (United States [n=37] vs Norway [n=6]). Technology dysfunctions were the most common complaint from Norwegian physicians. Participants from each country noted increased frustration among older colleagues.

Conclusions

Despite differences spanning geographical, organizational, and cultural boundaries, much is to be learned by comparing individual experiences. Both cohorts experienced EHR-related frustrations, although etiology differed. The overall number of complaints was significantly higher among American physicians. This study augments the idea that policy, regulation, and administration have compelling influence on user experience. Global EHR optimization requires additional investigation, and these results help to establish a foundation for future research.

Driving digital health transformation in hospitals: a formative qualitative evaluation of the English Global Digital Exemplar programme

BACKGROUND

There is currently a strong drive internationally towards creating digitally advanced healthcare systems through coordinated efforts at a national level. The English Global Digital Exemplar (GDE) programme is a large-scale national health information technology change programme aiming to promote digitally-enabled transformation in secondary healthcare provider organisations by supporting relatively digitally mature provider organisations to become international centres of excellence.

AIM

To qualitatively evaluate the impact of the GDE programme in promoting digital transformation in provider organisations that took part in the programme.

METHODS

We conducted a series of in-depth case studies in 12 purposively selected provider organisations and a further 24 wider case studies of the remaining organisations participating in the GDE programme. Data collected included 628 interviews, non-participant observations of 190 meetings and workshops and analysis of 9 documents. We used thematic analysis aided by NVivo software and drew on sociotechnical theory to analyse the data.

RESULTS

We found the GDE programme accelerated digital transformation within participating provider organisations. This acceleration was triggered by: (1) dedicated funding and the associated requirement for matched internal funding, which in turn helped to prioritise digital transformation locally; (2) governance requirements put in place by the programme that helped strengthen existing local governance and project management structures and supported the emergence of a cadre of clinical health informatics leaders locally; and (3) reputational benefits associated with being recognised as a centre of digital excellence, which facilitated organisational buy-in for digital transformation and increased negotiating power with vendors.

CONCLUSION

The GDE programme has been successful in accelerating digital transformation in participating provider organisations. Large-scale digital transformation programmes in healthcare can stimulate local progress through protected funding, putting in place governance structures and leveraging reputational benefits for participating provider organisations, around a coherent vision of transformation.

Workflow Automation for a Virtual Hypertension Management Program

Objectives  Hypertension is a modifiable risk factor for numerous comorbidities and treating hypertension can greatly improve health outcomes. We sought to increase the efficiency of a virtual hypertension management program through workflow automation processes.

Methods  We developed a customer relationship management (CRM) solution at our institution for the purpose of improving processes and workflow for a virtual hypertension management program and describe here the development, implementation, and initial experience of this CRM system.

Results  Notable system features include task automation, patient data capture, multi-channel communication, integration with our electronic health record (EHR), and device integration (for blood pressure cuffs). In the five stages of our program (intake and eligibility screening, enrollment, device configuration/setup, medication titration, and maintenance), we describe some of the key process improvements and workflow automations that are enabled using our CRM platform, like automatic reminders to capture blood pressure data and present these data to our clinical team when ready for clinical decision making. We also describe key limitations of CRM, like balancing out-of-the-box functionality with development flexibility. Among our first group of referred patients, 76% (39/51) preferred email as their communication method, 26/51 (51%) were able to enroll electronically, and 63% of those enrolled (32/51) were able to transmit blood pressure data without phone support.

Conclusion  A CRM platform could improve clinical processes through multiple pathways, including workflow automation, multi-channel communication, and device integration. Future work will examine the operational improvements of this health information technology solution as well as assess clinical outcomes.

Association of Hospital Public Quality Reporting With Electronic Health Record Medication Safety Performance

IMPORTANCE

Despite billions spent in public investment, electronic health records (EHRs) have not delivered on the promise of large quality and safety improvement. Simultaneously, there is debate on whether public quality reporting is a useful tool to incentivize quality improvement.

OBJECTIVE

To evaluate whether publicly reported feedback was associated with hospital improvement in an evaluation of medication-related clinical decision support (CDS) safety performance.

DESIGN, SETTINGS, AND PARTICIPANTS

This nonrandomized controlled trial included US hospitals that participated in the Computerized Provider Order Entry (CPOE) Evaluation Tool in the Leapfrog Hospital Survey, a national quality reporting program that evaluates safety performance of hospital CDS using simulated orders and patients, in 2017 to 2018. A sharp regression discontinuity design was used to identify the association of receiving negative feedback with hospital performance improvement in the subsequent year. Data were analyzed from January through September 2020.

EXPOSURES

Publicly reported quality feedback.

MAIN OUTCOMES AND MEASURES

The main outcome was improvement from 2017 to 2018 on the Leapfrog CPOE Evaluation Tool, using regression discontinuity model estimates of the association of receiving negative publicly reported feedback with quality improvement.

RESULTS

A total of 1183 hospitals were included, with a mean (SD) CPOE score of 59.3% (16.3%) at baseline. Hospitals receiving negative feedback improved 8.44 (95% CI, 0.09 to 16.80) percentage points more in the subsequent year compared with hospitals that received positive feedback on the same evaluation. This change was driven by differences in improvement in basic CDS capabilities (β = 8.71 [95%CI, 1.67 to 18.73]) rather than advanced CDS (β = 6.15 [95% CI, -9.11 to 26.83]).

CONCLUSIONS AND RELEVANCE

In this nonrandomized controlled trial, publicly reported feedback was associated with quality improvement, suggesting targeted measurement and reporting of process quality may be an effective policy lever to encourage improvement in specific areas. Clinical decision support represents an important tool in ensuring patient safety and decreasing adverse drug events, especially for complex patients and those with multiple chronic conditions who often receive several different drugs during an episode of care.

Interorganizational Knowledge Sharing to Establish Digital Health Learning Ecosystems: Qualitative Evaluation of a National Digital Health Transformation Program in England

Background

The English Global Digital Exemplar (GDE) program is one of the first concerted efforts to create a digital health learning ecosystem across a national health service.

Objective

This study aims to explore mechanisms that support or inhibit the exchange of interorganizational digital transformation knowledge.

Methods

We conducted a formative qualitative evaluation of the GDE program. We used semistructured interviews with clinical, technical, and managerial staff; national program managers and network leaders; nonparticipant observations of knowledge transfer activities through attending meetings, workshops, and conferences; and documentary analysis of policy documents. The data were thematically analyzed by drawing on a theory-informed sociotechnical coding framework. We used a mixture of deductive and inductive methods, supported by NVivo software, to facilitate coding.

Results

We conducted 341 one-on-one and 116 group interviews, observed 86 meetings, and analyzed 245 documents from 36 participating provider organizations. We also conducted 51 high-level interviews with policy makers and vendors; performed 77 observations of national meetings, workshops, and conferences; and analyzed 80 national documents. Formal processes put in place by the GDE program to initiate and reinforce knowledge transfer and learning have accelerated the growth of informal knowledge networking and helped establish the foundations of a learning ecosystem. However, formal networks were most effective when supported by informal networking. The benefits of networking were enhanced (and costs reduced) by geographical proximity, shared culture and context, common technological functionality, regional and strategic alignments, and professional agendas.

Conclusions

Knowledge exchange is most effective when sustained through informal networking driven by the mutual benefits of sharing knowledge and convergence between group members in their organizational and technological setting and goals. Policy interventions need to enhance incentives and reduce barriers to sharing across the ecosystem, be flexible in tailoring formal interventions to emerging needs, and promote informal knowledge sharing.

Frustration With Technology and its Relation to Emotional Exhaustion Among Health Care Workers: Cross-sectional Observational Study

BACKGROUND

New technology adoption is common in health care, but it may elicit frustration if end users are not sufficiently considered in their design or trained in their use. These frustrations may contribute to burnout.

OBJECTIVE

This study aimed to evaluate and quantify health care workers' frustration with technology and its relationship with emotional exhaustion, after controlling for measures of work-life integration that may indicate excessive job demands.

METHODS

This was a cross-sectional, observational study of health care workers across 31 Michigan hospitals. We used the Safety, Communication, Operational Reliability, and Engagement (SCORE) survey to measure work-life integration and emotional exhaustion among the survey respondents. We used mixed-effects hierarchical linear regression to evaluate the relationship among frustration with technology, other components of work-life integration, and emotional exhaustion, with adjustment for unit and health care worker characteristics.

RESULTS

Of 15,505 respondents, 5065 (32.7%) reported that they experienced frustration with technology on at least 3-5 days per week. Frustration with technology was associated with higher scores for the composite Emotional Exhaustion scale (r=0.35, P<.001) and each individual item on the Emotional Exhaustion scale (r=0.29-0.36, P<.001 for all). Each 10-point increase in the frustration with technology score was associated with a 1.2-point increase (95% CI 1.1-1.4) in emotional exhaustion (both measured on 100-point scales), after adjustment for other work-life integration items and unit and health care worker characteristics.

CONCLUSIONS

This study found that frustration with technology and several other markers of work-life integration are independently associated with emotional exhaustion among health care workers. Frustration with technology is common but not ubiquitous among health care workers, and it is one of several work-life integration factors associated with emotional exhaustion. Minimizing frustration with health care technology may be an effective approach in reducing burnout among health care workers.

Preferences in Oncology History Documentation Styles Among Clinical Practitioners

PURPOSE

Clinical notes function as the de facto handoff between providers and assume great importance during unplanned medical encounters. An organized and thorough oncology history is essential in care coordination. We sought to understand reader preferences for oncology history organization by comparing between chronologic and narrative formats.

METHODS

A convenience sample of 562 clinicians from 19 National Comprehensive Cancer Network Member Institutions responded to a survey comparing two formats of oncology histories, narrative and chronologic, for the same patient. Both histories were consensus-derived real-world examples. Each history was evaluated using semantic differential attributes (thorough, useful, organized, comprehensible, and succinct). Respondents choose a preference between the two styles for history gathering and as the basis of a new note. Open-ended responses were also solicited.

RESULTS

Respondents preferred the chronologic over the narrative history to prepare for a visit with an unknown patient (66% preference) and as a basis for their own note preparation (77% preference) (P < .01). The chronologic summary was preferred in four of the five measured attributes (useful, organized, comprehensible, and succinct); the narrative summary was favored for thoroughness (P < .01). Open-ended responses reflected the attribute scoring and noted the utility of content describing social determinants of health in the narrative history.

CONCLUSION

Respondents of this convenience sample preferred a chronologic oncology history to a concise narrative history. Further studies are needed to determine the optimal structure and content of chronologic documentation for oncology patients and the provider effort to use this format.

Hospital organizational strategies associated with advanced EHR adoption

OBJECTIVE

To identify organizational complementarities of adoption and use of electronic health records (EHRs) and assess what organizational strategies were associated with more advanced EHR use.

DATA SOURCES

Primary survey data of US hospitals combined with secondary data from the American Hospital Association Annual Survey and IT Supplement.

STUDY DESIGN

In this cross-sectional study, we describe hospital organizational practices around EHR adoption and use and identify how these practices coalesce into distinct strategies. We then assess the association between those organizational strategies and adoption of advanced EHR functions.

DATA COLLECTION

Primary data collection consisted of surveys sent to 797 US acute care hospitals in 2018-2019, with 451 complete respondents.

PRINCIPAL FINDINGS

There was significant variation in hospital organizational practices for EHR adoption and use. Factor analysis identified practices in three domains: leadership engagement, human capital, and systems integration. Hospitals in the top quartile of the leadership engagement factor were 14 percentage points more likely to have adopted patient engagement EHR functions (P = 0.01) while hospitals in the top quartile of human capital were 14 percentage points less likely to have adopted these functions (P = 0.02). Hospitals in the top quartile of systems integration were 12 percentage points more likely to have adopted patient engagement functions (P = 0.02) and 14 percentage points more likely to have adopted EHR data analytics functions (P = 0.02).

CONCLUSIONS

Our findings suggest that specific organizational strategies are associated with more advanced EHR adoption. Hospital leaders interested in realizing more value from their EHR investment may find it useful to know that there is an association between adoption of more advanced EHR functions, and engaging senior leadership as well as building connectivity between clinical and administrative systems.

A scoping review of qualitative research in JAMIA: past contributions and opportunities for future work

OBJECTIVE

Qualitative methods are particularly well-suited to studying the complexities and contingencies that emerge in the development, preparation, and implementation of technological interventions in real-world clinical practice, and much remains to be done to use these methods to their full advantage. We aimed to analyze how qualitative methods have been used in health informatics research, focusing on objectives, populations studied, data collection, analysis methods, and fields of analytical origin.

METHODS

We conducted a scoping review of original, qualitative empirical research in JAMIA from its inception in 1994 to 2019. We queried PubMed to identify relevant articles, ultimately including and extracting data from 158 articles.

RESULTS

The proportion of qualitative studies increased over time, constituting 4.2% of articles published in JAMIA overall. Studies overwhelmingly used interviews, observations, grounded theory, and thematic analysis. These articles used qualitative methods to analyze health informatics systems before, after, and separate from deployment. Providers have typically been the main focus of studies, but there has been an upward trend of articles focusing on healthcare consumers.

DISCUSSION

While there has been a rich tradition of qualitative inquiry in JAMIA, its scope has been limited when compared with the range of qualitative methods used in other technology-oriented fields, such as human-computer interaction, computer-supported cooperative work, and science and technology studies.

CONCLUSION

We recommend increased public funding for and adoption of a broader variety of qualitative methods by scholars, practitioners, and policy makers and an expansion of the variety of participants studied. This should lead to systems that are more responsive to practical needs, improving usability, safety, and outcomes.

Assessment of Electronic Health Record Use Between US and Non-US Health Systems

Importance

Understanding how the electronic health record (EHR) system changes clinician work, productivity, and well-being is critical. Little is known regarding global variation in patterns of use.

Objective

To provide insights into which EHR activities clinicians spend their time doing, the EHR tools they use, the system messages they receive, and the amount of time they spend using the EHR after hours.

Design, Setting, and Participants

This cross-sectional study analyzed the deidentified metadata of ambulatory care health systems in the US, Canada, Northern Europe, Western Europe, the Middle East, and Oceania from January 1, 2019, to August 31, 2019. All of these organizations used the EHR software from Epic Systems and represented most of Epic Systems's ambulatory customer base. The sample included all clinicians with scheduled patient appointments, such as physicians and advanced practice practitioners.

Exposures

Clinician EHR use was tracked by deidentified and aggregated metadata across a variety of clinical activities.

Main Outcomes and Measures

Descriptive statistics for clinician EHR use included time spent on clinical activities, note documentation (as measured by the percentage of characters in the note generated by automated or manual data entry source), messages received, and time spent after hours.

Results

A total of 371 health systems were included in the sample, of which 348 (93.8%) were located in the US and 23 (6.2%) were located in other countries. US clinicians spent more time per day actively using the EHR compared with non-US clinicians (mean time, 90.2 minutes vs 59.1 minutes; P < .001). In addition, US clinicians vs non-US clinicians spent significantly more time performing 4 clinical activities: notes (40.7 minutes vs 30.7 minutes; P < .001), orders (19.5 minutes vs 8.75 minutes; P < .001), in-basket messages (12.5 minutes vs 4.80 minutes; P < .001), and clinical review (17.6 minutes vs 14.8 minutes; P = .01). Clinicians in the US composed more automated note text than their non-US counterparts (77.5% vs 60.8% of note text; P < .001) and received statistically significantly more messages per day (33.8 vs 12.8; P < .001). Furthermore, US clinicians used the EHR for a longer time after hours, logging in 26.5 minutes per day vs 19.5 minutes per day for non-US clinicians (P = .01). The median US clinician spent as much time actively using the EHR per day (90.1 minutes) as a non-US clinician in the 99th percentile of active EHR use time per day (90.7 minutes) in the sample. These results persisted after controlling for organizational characteristics, including structure, type, size, and daily patient volume.

Conclusions and Relevance

This study found that US clinicians compared with their non-US counterparts spent substantially more time actively using the EHR for a wide range of clinical activities or tasks. This finding suggests that US clinicians have a greater EHR burden that may be associated with nontechnical factors, which policy makers and health system leaders should consider when addressing clinician wellness.

Estimating Aspirin Overuse for Primary Prevention of Atherosclerotic Cardiovascular Disease (from a Nationwide Healthcare System)

The American College of Cardiology and American Heart Association recently published guidelines narrowing the indications for low-dose aspirin use. The suitability of the electronic health record (EHR) to identify patients for low-dose aspirin deprescribing is unknown. To apply the 3 low-dose aspirin guidelines to EHR data, the guidelines were deconstructed into components from their narrative text and assigned computer-interpretable definitions based on electronic data interchange standards. These definitions were used to search EHR data to identify patients for aspirin deprescribing. To verify EHR records for low-dose aspirin, we then compared the records with a survey of patients' self-reported use of low-dose aspirin. Of the 3 aspirin guidelines, only 1 had a definition suitable for EHR implementation. The other 2 contained difficult-to-implement phrases (e.g., "higher ASCVD risk", "increased bleeding risk"). An EHR search with the single implementable guideline identified 86,555 people for possible aspirin deprescribing (2% of 5,598,604). Only 676 of 1,135 (60%) patients who self-reported taking low-dose aspirin had an active EHR record for low-dose aspirin at that time. Limitations exist when using EHR data to identify patients for possible low-dose aspirin deprescribing such as incomplete EHR capture of and the interpretation of non-specific terminology when translating guidelines into an electronic equivalent. In conclusion, data show many people unnecessarily take low-dose aspirin.

Enhancing practice efficiency: A key organizational strategy to improve professional fulfillment in allergy and immunology

OBJECTIVE

To review evidence-based strategies that have been noted to improve professional fulfillment and reduce burnout by enhancing practice efficiency.

DATA SOURCES

A comprehensive literature review was conducted to evaluate the strategies to improve efficiency of practice-a key driver of burnout among physicians.

STUDY SELECTIONS

Studies of efficiency-enhancing practices relevant to allergy-immunology were included.

RESULTS

Professional burnout is prevalent among physicians and is associated with negative outcomes affecting physicians, patients, and health care organizations. Recent surveys suggest at least 35% of US allergists-immunologists experience burnout. There are multiple drivers of professional burnout, some at the individual level and others at the organizational or practice level. Strategies to improve professional fulfillment may be conceptualized using the Stanford physician wellness framework, in which efforts target the following 3 reciprocal domains: culture, personal resilience, and practice efficiency. Organizational strategies that support physician well-being by creating a more efficient practice environment hold great promise, particularly for allergists-immunologists. The reduction of administrative burden and fostering of team-based care have been found in multiple studies to be cost-effective strategies to improve physician and patient satisfaction.

CONCLUSION

To ensure the well-being of the US allergy-immunology workforce and optimize patient outcomes, both private and academic allergy-immunology institutions should prioritize the adoption and iterative evaluation and refinement of these strategies to cocreate an efficient and ideal practice environment.

Commentary on the Challenges and Benefits of Implementing Standardized Outcome Measures

The Institute of Medicine (now the National Academy of Medicine) has proposed a Learning Heath system (LHS) as a model to improve health care. A LHS focuses on capturing data from the clinical encounter and applying those data to improve practice. The process can be described as an iterative learning cycle composed of 3 areas: performance to data, data to knowledge, and knowledge to performance or often knowledge translation. Adoption of new knowledge in medicine is notoriously slow, and the relatively new field of knowledge translation is systematically examining the critical success factors. In this issue of the Archives, Moore reports a knowledge translation project in a key aspect of rehabilitation: implementing standardized outcome measures. We report on the challenges and benefits of that project from a practical perspective and identify the critical success ingredient, leadership for implementation, which was composed of 3 key behaviors: setting clear expectations, engaging stakeholders, and providing support. Furthermore, the additional benefits, challenges, and costs are addressed.

Limiting the number of open charts does not impact wrong patient order entry in the emergency department

OBJECTIVE

We sought to examine the impact of limiting the number of open active charts on wrong patient order entry events among 13 emergency departments (EDs) in a large integrated health system.

METHODS

A retrospective chart review of all orders placed between September 2017 and September 2019 was conducted. The rate of retract and reorder events was analyzed with no overlap in both the period pre- and post-intervention period. Secondary analysis of error rate by clinician type, clinician patient load, and time of day was performed.

RESULTS

The order retraction rate was not improved pre- and post-intervention. Retraction rates varied by clinician type with residents retracting more often than physicians (odds ratio [OR] = 1.443 [1.349, 1.545]). Advanced practice providers also showed a slightly higher rate than physicians (OR = 1.114 [1.071, 1.160]). Pharmacists showed very low rates compared to physicians (OR = 0.191 [0.048, 0.764]). Time of day and staffing ratios appear to be a factor with wrong patient order entry rates slightly lower during the night (1900-0700) than the day (OR 0.958 [0.923, 0.995]), and increasing slightly with every additional patient per provider (OR 1.019 [1.005, 1.032]). The Academic Medical Center had more retractions that the other EDs. OR for the various ED types compared to the Academic Medical Center included Community (OR 0.908 [0.859, 0.959]), Teaching Hospitals (OR 0.850 [0.802, 0.900]), and Freestanding (OR 0.932 [0.864, 1.006]).

CONCLUSIONS

Limiting the number of open active charts from 4 to 2 did not significantly reduce the incidence of wrong patient order entry. Further investigation into other factors contributing to order entry errors is warranted.

Defragmenting Heart Failure Care: Medical Records Integration

Heart failure management requires intensive care coordination. Guideline-directed medical therapies have been shown to save lives but are practically challenging to implement because of the fragmented care that heart failure patients experience. Electronic health record adoption has transformed the collection and storage of clinical data, but accessing these data often remains prohibitively difficult. Current legislation aims to increase the interoperability of software systems so that providers and patients can easily access the clinical information they desire. Novel heart failure devices and technologies leverage patient-generated data to manage heart failure patients, whereas new data standards make it possible for this information to guide clinical decision-making.

Patient and Family Engaged Care: An Essential Element of Health Equity

In this paper, we emphasize and explore health equity as an integral component of a culture of patient and family engaged care (PFEC), rather than an isolated or peripheral outcome. To examine the role of PFEC in addressing health inequities, we build on the 2017 NAM Perspectives discussion paper "Harnessing Evidence and Experience to Change Culture: A Guiding Framework for Patient and Family Engaged Care." Informed by both scientific evidence and the lived experience of patients, their care partners, practitioners, and health system leaders, the paper by Frampton et al. introduced a novel Guiding Framework that delineates critical elements that work together to co-create a culture of PFEC, while also depicting a logical sequencing for implementation that facilitates progressive change and improvement toward the Quadruple Aim outcomes of better culture, better care, better health, and lower costs. In this paper, the authors highlight the need to integrate addressing health and health care disparities and improving health equity as core components of the framework to ensure the culture and policy changes necessary to meaningfully engage patients, health system staff, families, and communities.

Electronic "Sniffer" Systems to Identify the Acute Respiratory Distress Syndrome

BACKGROUND

The acute respiratory distress syndrome (ARDS) results in substantial mortality but remains underdiagnosed in clinical practice. Automated ARDS "sniffer" systems, tools that can automatically analyze electronic medical record data, have been developed to improve recognition of ARDS in clinical practice.

OBJECTIVES

To perform a systematic review examining the evidence underlying automated sniffer systems for ARDS detection.

DATA SOURCES

MEDLINE and Scopus databases through November 2018 to identify studies of tools using routinely available clinical data to detect patients with ARDS.

DATA EXTRACTION

Study design, tool description, and diagnostic performance were extracted by two reviewers. The Quality Assessment of Diagnostic Accuracy Studies-2 was used to evaluate each study for risk of bias in four domains: patient selection, index test, reference standard, and study flow and timing.

SYNTHESIS

Among 480 studies identified, 9 met inclusion criteria, and they evaluated six unique ARDS sniffer tools. Eight studies had derivation and/or temporal validation designs, with one also evaluating the effects of implementing a tool in clinical practice. A single study performed an external validation of previously published ARDS sniffer tools. Studies reported a wide range of sensitivities (43-98%) and positive predictive values (26-90%) for detection of ARDS. Most studies had potential for high risk of bias identified in their study design, including patient selection (five of nine), reference standard (four of nine), and flow and timing (three of nine). In the single external validation without any perceived risks of biases, the performance of ARDS sniffer tools was worse.

CONCLUSIONS

Sniffer systems developed to detect ARDS had moderate to high predictive value in their derivation cohorts, although most studies had the potential for high risks of bias in study design. Methodological issues may explain some of the variability in tool performance. There remains an ongoing need for robust evaluation of ARDS sniffer systems and their impact on clinical practice. Systematic review registered with PROSPERO (CRD42015026584).

Opportunities for addressing gaps in primary care shared decision-making with technology: a mixed-methods needs assessment

Objectives

To analyze current practices in shared decision-making (SDM) in primary care and perform a needs assessment for the role of information technology (IT) interventions.

Materials and Methods

A mixed-methods study was conducted in three phases: (1) ethnographic observation of clinical encounters, (2) patient interviews, and (3) physician interviews. SDM was measured using the validated OPTION scale. Semistructured interviews followed an interview guide (developed by our multidisciplinary team) informed by the Traditional Decision Conflict Scale and Shared Decision Making Questionnaire. Field notes were independently coded and analyzed by two reviewers in Dedoose.

Results

Twenty-four patient encounters were observed in 3 diverse practices with an average OPTION score of 57.2 (0-100 scale; 95% confidence interval [CI], 51.8-62.6). Twenty-two patient and 8 physician interviews were conducted until thematic saturation was achieved. Cohen's kappa, measuring coder agreement, was 0.42. Patient domains were: establishing trust, influence of others, flexibility, frustrations, values, and preferences. Physician domains included frustrations, technology (concerns, existing use, and desires), and decision making (current methods used, challenges, and patients' understanding).

Discussion

Given low SDM observed, multiple opportunities for technology to enhance SDM exist based on specific OPTION items that received lower scores, including: (1) checking the patient's preferred information format, (2) asking the patient's preferred level of involvement in decision making, and (3) providing an opportunity for deferring a decision. Based on data from interviews, patients and physicians value information exchange and are open to technologies that enhance communication of care options.

Conclusion

Future primary care IT platforms should prioritize the 3 quantitative gaps identified to improve physician-patient communication and relationships. Additionally, SDM tools should seek to standardize common workflow steps across decisions and focus on barriers to increasing adoption of effective SDM tools into routine primary care.

Diffusion dynamics of electronic health records: A longitudinal observational study comparing data from hospitals in Germany and the United States

BACKGROUND

While aiming for the same goal of building a national eHealth Infrastructure, Germany and the United States pursued different strategic approaches - particularly regarding the role of promoting the adoption and usage of hospital Electronic Health Records (EHR).

OBJECTIVE

To measure and model the diffusion dynamics of EHRs in German hospital care and to contrast the results with the developments in the US.

MATERIALS AND METHODS

All acute care hospitals that were members of the German statutory health system were surveyed during the period 2007-2017 for EHR adoption. Bass models were computed based on the German data and the corresponding data of the American Hospital Association (AHA) from non-federal hospitals in order to model and explain the diffusion of innovation.

RESULTS

While the diffusion dynamics observed in the US resembled the typical s-shaped curve with high imitation effects (q = 0.583) but with a relatively low innovation effect (p = 0.025), EHR diffusion in Germany stagnated with adoption rates of approx. 50% (imitation effect q = -0.544) despite a higher innovation effect (p = 0.303).

DISCUSSION

These findings correlate with different governmental strategies in the US and Germany of financially supporting EHR adoption. Imitation only seems to work if there are financial incentives, e.g. those of the HITECH Act in the US. They are lacking in Germany, where the government left health IT adoption strategies solely to the free market and the consensus among all of the stakeholders.

CONCLUSION

Bass diffusion models proved to be useful for distinguishing the diffusion dynamics in German and US non-federal hospitals. When applying the Bass model, the imitation parameter needs a broader interpretation beyond the network effects, including driving forces such as incentives and regulations, as was demonstrated by this study.

Setting our sights on the right target: how addressing physician burnout may be a solution for improved patient experience

Physician burnout is an important issue that can have serious implications for both physicians and patients. Many of the techniques used by larger medical groups attempt to compel improvements in patient satisfaction scores at the potential cost of increased physician burnout. Because burnout has been associated with poorer patient care and experience, medical groups large and small should work aggressively to reduce the causes of burnout as a way to also improve patient experience. In this contribution, the patient experience measure and the electronic medical record are reviewed in the context of the regulatory and bureaucratic pressures they place on physicians to examine how they may contribute to burnout and, therefore, worsen patient experience.

Protecting healing relationships in the age of electronic health records: report from an international conference

We present findings of an international conference of diverse participants exploring the influence of electronic health records (EHRs) on the patient–practitioner relationship. Attendees united around a belief in the primacy of this relationship and the importance of undistracted attention. They explored administrative, regulatory, and financial requirements that have guided United States (US) EHR design and challenged patient-care documentation, usability, user satisfaction, interconnectivity, and data sharing. The United States experience was contrasted with those of other nations, many of which have prioritized patient-care documentation rather than billing requirements and experienced high user satisfaction. Conference participants examined educational methods to teach diverse learners effective patient-centered EHR use, including alternative models of care delivery and documentation, and explored novel ways to involve patients as healthcare partners like health-data uploading, chart co-creation, shared practitioner notes, applications, and telehealth. Future best practices must preserve human relationships, while building an effective patient–practitioner (or team)-EHR triad.

Unintended Consequences of Nationwide Electronic Health Record Adoption: Challenges and Opportunities in the Post-Meaningful Use Era

The US health system has recently achieved widespread adoption of electronic health record (EHR) systems, primarily driven by financial incentives provided by the Meaningful Use (MU) program. Although successful in promoting EHR adoption and use, the program, and other contributing factors, also produced important unintended consequences (UCs) with far-reaching implications for the US health system. Based on our own experiences from large health information technology (HIT) adoption projects and a collection of key studies in HIT evaluation, we discuss the most prominent UCs of MU: failed expectations, EHR market saturation, innovation vacuum, physician burnout, and data obfuscation. We identify challenges resulting from these UCs and provide recommendations for future research to empower the broader medical and informatics communities to realize the full potential of a now digitized health system. We believe that fixing these unanticipated effects will demand efforts from diverse players such as health care providers, administrators, HIT vendors, policy makers, informatics researchers, funding agencies, and outside developers; promotion of new business models; collaboration between academic medical centers and informatics research departments; and improved methods for evaluations of HIT.

Semantic data interoperability, digital medicine, and e-health in infectious disease management: a review

Disease management requires the use of mixed languages when discussing etiology, diagnosis, treatment, and follow-up. All phases require data management, and, in the optimal case, such data are interdisciplinary and uniform and clear to all those involved. Such semantic data interoperability is one of the technical building blocks that support emerging digital medicine, e-health, and P4-medicine (predictive, preventive, personalized, and participatory). In a world where infectious diseases are on a trend to become hard-to-treat threats due to antimicrobial resistance, semantic data interoperability is part of the toolbox to fight more efficiently against those threats. In this review, we will introduce semantic data interoperability, summarize its added value, and analyze the technical foundation supporting the standardized healthcare system interoperability that will allow moving forward to e-health. We will also review current usage of those foundational standards and advocate for their uptake by all infectious disease-related actors.

Organizational factors affecting physician well-being

Purpose of review

Symptoms of burnout affect approximately half of pediatricians and pediatric subspecialists at any given time, with similarly concerning prevalence of other aspects of physician distress, including fatigue, depressive symptoms, and suicidal ideation. Physician well-being affects quality of care, patient satisfaction, and physician turnover. Organizational factors influence well-being, stressing the need for organizations to address this epidemic.

Recent findings

Organizational characteristics, policies, and culture influence physician well-being, and specific strategies may support an environment where physicians thrive. We highlight four organizational opportunities to improve physician well-being: developing leaders, cultivating community and organizational culture, improving practice efficiency, and optimizing administrative policies. Leaders play a key role in aligning organizational and individual values, promoting professional fulfillment, and fostering a culture of collegiality and social support among physicians. Reducing documentation burden and improving practice efficiency may help balance job demands and resources. Finally, reforming administrative policies may reduce work-home conflict, support physician's efforts to attend to their own well-being, and normalize use of supportive resources.

Summary

Physician well-being is critical to organizational success, sustainment of an adequate workforce, and optimal patient outcomes. Because burnout is primarily influenced by organizational factors, organizational interventions are key to promoting well-being. Developing supportive leadership, fostering a culture of wellness, optimizing practice efficiency, and improving administrative policies are worthy of organizational action and further research.

Engineering a Foundation for Partnership to Improve Medication Safety during Care Transitions

There are major gaps and barriers for patients and caregivers after hospital discharge to achieve safe medication use. Patients and caregivers are often not ready to take on the responsibility for medication management when transitioned from inpatient care. Current approaches tend to focus on adding isolated strategies. A system thinking can enable a fundamental transformation to redesign professionals' interactions with patients and caregivers with an explicit goal to develop patients and caregivers into true partners, with targeted roles, skills, attitude, knowledge, and tool support. We must recognize the fact that medication safety during care transition and, more so, at patient homes is the property of a "work system", in which the patient and caregivers are at the center, with collaboration with health professionals. Innovative ideas are needed to engineer work system components by systematically examining professionals' interactions with patients and caregivers, such as those during hospital stays and transitions (e.g., follow-up phone calls, community pharmacist consults, and home visits). Based on human factors principles, we describe a set of recommendations on engineering partnership with patients and their caregivers at different stages of a care episode, to enable productive interactions among work systems that are distributed and are often limited in their ability to exchange information and co-align their interests.

Mind the gap: the potential of alternative health information exchange

OBJECTIVES

To determine the proportion of patient transitions that could be connected through 3 proprietary alternatives to open, community-based health information exchange (HIE): HIE between physicians who are part of the same integrated system, use the same electronic health record (EHR), or use an EHR that participates in an EHR vendor alliance.

STUDY DESIGN

Cross-sectional analysis of Medicare patient transitions and physician EHR adoption and organizational affiliation from SK&A.

METHODS

We characterized the percentage of transitions that could be covered by each HIE approach and the degree of redundancy. We then assessed whether coverage opportunities differed by provider type and used multivariate linear regression to estimate the association between physician characteristics and proportion of transitions uncovered by any proprietary approach (ie, requiring an open HIE approach).

RESULTS

Given current EHR adoption and organizational affiliations, 33% of transitions could be covered by proprietary HIE. For the average physician, open methods of HIE would still be needed for 45% of patients treated by other physicians. Physicians who did not use a market-leading EHR, were not members of a large integrated system, and shared patients with a broader network of physicians have the greatest need for open HIE.

CONCLUSIONS

Proprietary approaches to HIE do not eliminate the need for open HIE and may further disadvantage providers in small healthcare organizations using less common EHRs. Ongoing support and innovative value creation within open HIE will likely remain necessary to support HIE by independent physicians. Public efforts to promote interoperability should seek to integrate proprietary models with open HIE.

Medical Scribes: The Future for Medical Data Input in Emergency Departments

Despite their widespread use, electronic medical records have created frustrations for physicians, especially those working in busy hospital emergency departments. After a brief discussion of the causes of the problems, a potential solution-the use of medical scribes-is presented. The extant literature regarding results obtained following the implementation of medical scribes in emergency departments is reviewed and some conclusions regarding the future of this phenomenon are presented. The future looks quite bright for use of medical scribes in hospitals' emergency departments.