Implementing Teledermatology for Rural Veterans: An Evaluation Using the RE-AIM Framework

The use of a ChatGPT-4-based chatbot in teledermatology: A retrospective exploratory study

BACKGROUND AND OBJECTIVES

Integration of artificial intelligence in healthcare, particularly ChatGPT, is transforming medical diagnostics and may benefit teledermatology. This exploratory study compared image description and differential diagnosis generation by a ChatGPT-4 based chatbot with human teledermatologists.

PATIENTS AND METHODS

This retrospective study compared 154 teledermatology consultations (December 2023-February 2024) with ChatGPT-4's performance in image descriptions and diagnoses. Diagnostic concordance was classified as "Top1" (exact match with the teledermatologist's diagnoses), "Top3" (correct diagnosis within one the top three diagnoses), and "Partial" (similar but not identical diagnoses). Image descriptions were rated and compared for quality parameters (location, color, size, morphology, and surrounding area), and accuracy (Yes, No, and Partial).

RESULTS

Out of 154 cases, ChatGPT-4 achieved a Top1 diagnostic concordance in 108 (70.8%), Top3 concordance in 137 (87.7%), partial concordance in four (2.6%), and was discordant in 15 (9.7%) cases. The quality of ChatGPT-4's image descriptions significantly surpassed teledermatologists in all five parameters. ChatGPT-4's descriptions were accurate in 130 (84.4%), partially accurate in 22 (14.3%), and inaccurate in two (1.3%) cases.

CONCLUSIONS

The preliminary findings of this study indicate that ChatGPT-4 demonstrates potential in generating accurate image descriptions and differential diagnoses. These results highlight the promise of integrating artificial intelligence into asynchronous teledermatology workflows.

Revolutionizing teledermatology: Exploring the integration of artificial intelligence, including Generative Pre-trained Transformer chatbots for artificial intelligence-driven anamnesis, diagnosis, and treatment plans

The integration of teledermatology and artificial intelligence (AI) marks a significant advancement in dermatologic care. This study examines the synergistic interplay between these two domains, highlighting their collective impact on enhancing the accuracy, accessibility, and efficiency of teledermatologic services. Teledermatology expands dermatologic care to remote and underserved areas, and AI technologies show considerable potential in analyzing dermatologic images and performing various tasks involved in teledermatology consultations. Such integration facilitates rapid, precise diagnoses, personalized treatment plans, and data-driven insights. Our explorative study involved designing a GPT-based chatbot named "Dr. DermBot" and exploring its performance in a teledermatologic consultation process. The design phase focused on the chatbot's ability to conduct consultations autonomously. The subsequent testing phase assessed its performance against the backdrop of current teledermatologic practices, exploring the potential of AI and chatbots to simulate and potentially enhance teledermatologic health care. Our study demonstrates the promising future of combining teledermatology with AI. It also brings to light ethical and legal concerns, including the protection of patient data privacy and adherence to regulatory standards. The union of teledermatology and AI not only aims to enhance the precision of teledermatologic diagnoses but also broadens the accessibility of dermatologic services to previously underserved populations, benefiting patients, health care providers, and the overall health care system.

Telehealth-guided provider-to-provider communication to improve rural health: A systematic review

INTRODUCTION

Telehealth may address healthcare disparities for rural populations. This systematic review assesses the use, effectiveness, and implementation of telehealth-supported provider-to-provider collaboration to improve rural healthcare.

METHODS

We searched Ovid MEDLINE®, CINAHL®, EMBASE, and Cochrane CENTRAL from 1 January 2010 to 12 October 2021 for trials and observational studies of rural provider-to-provider telehealth. Abstracts and full text were dual-reviewed. We assessed the risk of bias for individual studies and strength of evidence for studies with similar outcomes.

RESULTS

Seven studies of rural uptake of provider-to-provider telehealth documented increases over time but variability across geographic regions. In 97 effectiveness studies, outcomes were similar with rural provider-to-provider telehealth versus without for inpatient consultations, neonatal care, outpatient depression and diabetes, and emergency care. Better or similar results were reported for changes in rural clinician behavior, knowledge, confidence, and self-efficacy. Evidence was insufficient for other clinical uses and outcomes. Sixty-seven (67) evaluation and qualitative studies identified barriers and facilitators to implementing rural provider-to-provider telehealth. Success was linked to well-functioning technology, sufficient resources, and adequate payment. Barriers included lack of understanding of rural context and resources. Methodologic weaknesses of studies included less rigorous study designs and small samples.

DISCUSSION

Rural provider-to-provider telehealth produces similar or better results versus care without telehealth. Barriers to rural provider-to-provider telehealth implementation are common to practice change but include some specific to rural adaptation and adoption. Evidence gaps are partially due to studies that do not address differences in the groups compared or do not include sufficient sample sizes.

The SLICE-3D dataset: 400,000 skin lesion image crops extracted from 3D TBP for skin cancer detection

AI image classification algorithms have shown promising results when applied to skin cancer detection. Most public skin cancer image datasets are comprised of dermoscopic photos and are limited by selection bias, lack of standardization, and lend themselves to development of algorithms that can only be used by skilled clinicians. The SLICE-3D ("Skin Lesion Image Crops Extracted from 3D TBP") dataset described here addresses those concerns and contains images of over 400,000 distinct skin lesions from seven dermatologic centers from around the world. De-identified images were systematically extracted from sensitive 3D Total Body Photographs and are comparable in optical resolution to smartphone images. Algorithms trained on lower quality images could improve clinical workflows and detect skin cancers earlier if deployed in primary care or non-clinical settings, where photos are captured by non-expert physicians or patients. Such a tool could prompt individuals to visit a specialized dermatologist. This dataset circumvents many inherent limitations of prior datasets and may be used to build upon previous applications of skin imaging for cancer detection.

Does the Diagnostic Accuracy and Rates of Face-to-Face Visits Occurring Shortly after an Asynchronized Teledermatology Consultation Justify Its Implementation? An 18-Month Cohort Study

INTRODUCTION

In 2019, Maccabi Health Services (MHS) rolled out the store-and-forward "Dermadetect" teledermatology consultation (TC) application. Study goal was to analyze MHS records of TCs (August 2019-February 2021) for the rate and reasons for face-to-face consultations (FTFC) occurring shortly after a TC with emphasis on FTFCs resulting in a different diagnosis for the same indication.

METHODS

The records of FTFCs held up shortly after TCs were reviewed and classified into cases marked as unsuited for teledermatology, cases in which the indication differed, and cases with the same indication, which were analyzed for concordance of diagnoses.

RESULTS

Dermadetect was used by 12,815 MHS beneficiaries. In 30% of cases, following FTFC occurred within the subsequent 5 months, and 901 of them occurred in the subsequent 2 weeks and were analyzed. Thirty percent were not suited for teledermatology, 15% were held for a different indication, and 55% occurred for the same indication. The diagnosis concordance between the TC and recurrent FTFC for the same indication was 97.4%, with full concordance at 68.1% and partial concordance at 29.3%. Overall, 13 patients (1.4%) of the 901 patients using the application only once had a subsequent FTFC within 2 weeks and received a different diagnosis than the one given in the TC.

CONCLUSIONS

When considering the implementation of store-and-forward TC's, a 30% rate of following FTFC's during the next 5 months should be considered when planning the reimbursement model. Diagnosis discordance may be disregarded due to its low rates.

Diffusion of excellence: evaluating a system to identify, replicate, and spread promising innovative practices across the Veterans health administration

Introduction

The Veterans Health Administration (VHA) Diffusion of Excellence (DoE) program provides a system to identify, replicate, and spread promising practices across the largest integrated healthcare system in the United States. DoE identifies innovations that have been successfully implemented in the VHA through a Shark Tank style competition. VHA facility and regional directors bid resources needed to replicate promising practices. Winning facilities/regions receive external facilitation to aid in replication/implementation over the course of a year. DoE staff then support diffusion of successful practices across the nationwide VHA.

Methods

Organized around the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) Framework, we summarize results of an ongoing long-term mixed-methods implementation evaluation of DoE. Data sources include: Shark Tank application and bid details, tracking practice adoptions through a Diffusion Marketplace, characteristics of VHA facilities, focus groups with Shark Tank bidders, structured observations of DoE events, surveys of DoE program participants, and semi-structured interviews of national VHA program office leaders, VHA healthcare system/facility executives, practice developers, implementation teams and facilitators.

Results

In the first eight Shark Tanks (2016-2022), 3,280 Shark Tank applications were submitted; 88 were designated DoE Promising Practices (i.e., practices receive facilitated replication). DoE has effectively spread practices across the VHA, with 1,440 documented instances of adoption/replication of practices across the VHA. This includes 180 adoptions/replications in facilities located in rural areas. Leadership decisions to adopt innovations are often based on big picture considerations such as constituency support and linkage to organizational goals. DoE Promising Practices that have the greatest national spread have been successfully replicated at new sites during the facilitated replication process, have close partnerships with VHA national program offices, and tend to be less expensive to implement. Two indicators of sustainment indicate that 56 of the 88 Promising Practices are still being diffused across the VHA; 56% of facilities originally replicating the practices have sustained them, even up to 6 years after the first Shark Tank.

Conclusion

DoE has developed a sustainable process for the identification, replication, and spread of promising practices as part of a learning health system committed to providing equitable access to high quality care.

Mapping Theories, Models, and Frameworks to Evaluate Digital Health Interventions: Scoping Review

BACKGROUND

Digital health interventions (DHIs) are a central focus of health care transformation efforts, yet their uptake in practice continues to fall short of their potential. In order to achieve their desired outcomes and impact, DHIs need to reach their target population and need to be used. Many factors can rapidly intersect between this dynamic of users and interventions. The application of theories, models, and frameworks (TMFs) can facilitate the systematic understanding and explanation of the complex interactions between users, practices, technology, and health system factors that underpin research questions. There remains a gap in our understanding of how TMFs have been applied to guide the evaluation of DHIs with real-world health system operations.

OBJECTIVE

This study aims to map TMFs used in studies to guide the evaluation of DHIs. The objectives are to (1) describe the TMFs and the constructs they target, (2) identify how TMFs have been prospectively used (ie, their roles) in primary studies to evaluate DHIs, and (3) to reflect on the relevance and utility of our findings for knowledge users.

METHODS

This scoping review was conducted in partnership with knowledge users using an integrated knowledge translation approach. We included papers (eg, reports; empirical quantitative, qualitative, and mixed methods studies; conference proceedings; and dissertations) if primary insights resulting from the application of TMFs were presented. Any type of DHI was eligible. Papers published from 2000 and onward were mainly identified from the following databases: MEDLINE (Ovid), CINAHL Complete (EBSCOhost), PsycINFO (Ovid), EBM Reviews (Ovid), and Embase (Ovid).

RESULTS

A total of 156 studies published between 2000 and 2022 were included. A total of 68 distinct TMFs were identified across 85 individual studies. In more than half (85/156, 55%) of the included studies, 1 of following 6 prevailing TMFs were reported: Consolidated Framework for Implementation Research (n=39); the Reach, Effectiveness, Adoption, Implementation, and Maintenance Framework (n=17); the Technology of Acceptance Model (n=16); the Unified Theory on Acceptance and Use of Technology (n=12); the Diffusion of Innovation Theory (n=10); and Normalization Process Theory (n=9). The most common intended roles of the 6 TMFs were to inform data collection (n=86), to inform data analysis (n=69), and to identify key constructs that may serve as barriers and facilitators (n=52).

CONCLUSIONS

As TMFs are most often reported to be applied to support data collection and analysis, researchers should consider more clearly synthesizing key insights as practical use cases to both increase the relevance and digestibility of their findings. There is also a need to adapt or develop guidelines for better reporting DHIs and the use of TMFs to guide evaluation. Hence, it would contribute to ensuring ongoing technology transformation efforts are evidence and theory informed rather than anecdotally driven.

Implementation of Direct-to-Patient Mobile Teledermatology in VA

BACKGROUND

Innovative technology can enhance patient access to healthcare but must be successfully implemented to be effective.

OBJECTIVE

We evaluated Department of Veterans Affairs' (VA's) implementation of My VA Images, a direct-to-patient asynchronous teledermatology mobile application enabling established dermatology patients to receive follow-up care remotely instead of in-person.

DESIGN /PARTICIPANTS/APPROACH

Following pilot testing at 3 facilities, the app was introduced to 28 facilities (4 groups of 7) every 3 months using a stepped-wedge cluster-randomized design. Using the Organizational Theory of Implementation Effectiveness, we examined the app's implementation using qualitative and quantitative data consisting of encounter data from VA's corporate data warehouse; app usage from VA's Mobile Health database; bi-monthly reports from facility representatives; phone interviews with clinicians; and documented communications between the operational partner and facility staff.

KEY RESULTS

Implementation policies and practices included VA's vision to expand home telehealth and marketing/communication strategies. The COVID-19 pandemic dominated the implementation climate by stressing staffing, introducing competing demands, and influencing stakeholder attitudes to the app, including its fit to their values. These factors were associated with mixed implementation effectiveness, defined as high quality consistent use. Nineteen of 31 exposed facilities prepared to use the app; 10 facilities used it for actual patient care, 7 as originally intended. Residents, nurse practitioners, and physician assistants were more likely than attendings to use the app. Facilities exposed to the app pre-pandemic were more likely to use and sustain the new process.

CONCLUSIONS

Considerable heterogeneity existed in implementing mobile teledermatology, despite VA's common mission, integrated healthcare system, and stakeholders' broad interest. Identifying opportunities to target favorable facilities and user groups (such as teaching facilities and physician extenders, respectively) while addressing internal implementation barriers including incomplete integration with the electronic health record as well as inadequate staffing may help optimize the initial impact of direct-to-patient telehealth. The COVID pandemic was a notable extrinsic barrier.

CLINICAL TRIALS REGISTRATION

NCT03241589.

Asynchronous Telemedicine: A Systematic Literature Review

Background

Asynchronous telemedicine (ATM), which describes telemedical interaction between a patient and provider where neither party communicates simultaneously, is an important telemedicine modality that is seeing increased use. In this article, we summarize the published peer-reviewed literature specifically related to ATM to (1) identify terms or phrases that are used to describe ATM, (2) ascertain how this research has thus far addressed the various aspects of the quadruple aim of medicine, and (3) assess the methodological rigor of research on ATM. We also divided the literature into pre- and post-COVID-19 onset periods to identify potential variations in the literature between these two periods.

Methods

This systematic literature review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The literature search, utilizing multiple databases and applying inclusion and exclusion criteria, initially produced 2624 abstracts for review. De-duplication and screening ultimately yielded 104 articles for data extraction.

Results

"Store-and-forward" and variations of "e-visit" were the most frequently used alternative terms for ATM. Care quality was the most frequently addressed aspect of the Quadruple Aim of Medicine-more than double any other category-followed by patient satisfaction. We separated cost of care into two categories: patients' cost of care and providers' cost to provide care. Patient cost of care was the third most addressed aspect of the Quadruple Aim of Medicine followed by provider well-being and provider's cost to provide care. Methodological rigor of the studies was also addressed, with only 2 quantitative studies ranked "Strong," 5 ranked "Moderate," and 97 ranked "Weak." Qualitative studies were generally acceptable but struggled methodologically with accounting for all participants and articulation of results.

Conclusions

Although "store-and-forward" is somewhat more frequently used in the studies included in this review, variants of "e-visit," are growing in recent usage. Given the relative newness of modality, it is not surprising that quality of care is the most researched aspect of the Quadruple Aim of Medicine in ATM research. We anticipate more balance between these areas as research in this field matures. Primary areas of research need currently relate to practitioners-specifically their costs of providing care and well-being. Finally, future ATM research needs to address research challenges of selection bias and blinding in quantitative studies and improved participant tracking and articulation of both study design and results in qualitative studies.

Implementation evaluation of a teledermatology virtual clinic at an academic medical center

BACKGROUND

Teledermatology (TD) is an evidence-based practice that may increase access to dermatologic care. We sought to use the Exploration, Preparation, Implementation, and Sustainment (EPIS) and the Reach, Efficacy, Adoption, Implementation, and Maintenance (RE-AIM) frameworks to evaluate implementation of TD at Duke.

METHODS

The EPIS and RE-AIM frameworks were deployed to design and implement a TD program that leveraged the strengths of the Duke University Health System and addressed previously reported barriers to implementation of store-and-forward and synchronous TD models. In the resultant hybrid TD model, trained primary care providers (PCPs) sent e-comm referrals with clinical and dermatoscopic images to dermatology. These e-consults were reviewed asynchronously and patients were scheduled for a synchronous video visit with dermatology within days. Dermatologists managed the patient plan. This hybrid TD model was piloted at four primary care clinics. Pertinent outcomes from a TD-adapted RE-AIM framework were tracked using electronic health record data. Patient satisfaction was assessed using a post-video visit survey (n = 18). Implementation barriers and facilitators were also collected through provider surveys (n = 24 PCPs, n = 10 dermatologists, n = 10 dermatology residents).

RESULTS

At four PCP clinics throughout 9/1/2021-4/30/2022, there were 218 TD referrals. Video visits occurred on average 7.5 ± 0.5 days after referral and 18/18 patients completing the post-visit survey were satisfied. Adoption varied between clinics, with one placing 22% of all dermatology referrals as TD and another placing 2%. The primary PCP barriers to TD were time burdens, lack of fit in clinic flow, and discomfort with image taking. Top-endorsed potential facilitating interventions included allowing for rash referrals without dermoscopy and assurance for clinical evaluation within 3 days.

CONCLUSIONS

The use of implementation science frameworks allowed for identification of system and contextual strengths which informed the hybrid TD pilot. Barriers and facilitating interventions will provide guidance for expansion and ongoing maintenance of TD.

Using the RE-AIM framework to assess national teledermatology expansion

Background

Teledermatology has been utilized in the United States Department of Veterans Affairs (VA) for decades but continues to have incomplete penetration. VA has funded an initiative to enhance access to dermatology services since 2017 to support asynchronous teledermatology for Veterans living in rural areas. As part of an ongoing evaluation of this program, we assessed the teledermatology activity between the fiscal years 2020 and 2022. We focused on the second cohort of the initiative, comprising six VA facilities and their 54 referral clinics.

Methods

We studied teledermatology programs at cohort facilities using the reach, effectiveness, adoption, implementation, and maintenance framework. We used a mixed-methods design including annual online reports completed by participating facilities and VA administrative data. When possible, we compared the data from the 3 years of teledermatology funding with the baseline year prior to the start of funding.

Findings

Reach: Compared with the baseline year, there was a 100% increase in encounters and a 62% increase in patients seen at the funded facilities. Over 500 clinicians and support staff members were trained. Effectiveness: In FY 2022, primary or specialty care clinics affiliated with the funded facilities had more dermatology programs than primary or specialty care clinics across the VA (83% vs. 71% of sites). Adoption: By the end of the funding period, teledermatology constituted 16% of dermatology encounters at the funded facilities compared with 12% nationally. This reflected an increase from 9.2% at the funded facilities and 10.3% nationally prior to the funding period. Implementation: The continued funding for staff and equipment facilitated the expansion to rural areas. Maintenance: By the end of the funding period, all facilities indicated that they had fully implemented their program for patients of targeted primary care providers. The Program Sustainability Index scores generally increased during the funding period.

Conclusions

Targeted funding to support asynchronous teledermatology implementation for rural Veterans increased its reach, adoption, and implementation, ultimately improving access. Providing program guidance with staffing and training resources can increase the impact of these programs. Ongoing efforts to maintain and increase communication between primary care and dermatology will be needed to sustain success.

The VA National TeleNeurology Program implementation: a mixed-methods evaluation guided by RE-AIM framework

Introduction

The Veteran Affairs (VA) Office of Rural Health (ORH) funded the Veterans Health Administration (VHA) National TeleNeurology Program (NTNP) as an Enterprise-Wide Initiative (EWI). NTNP is an innovative healthcare delivery model designed to fill the patient access gap for outpatient neurological care especially for Veterans residing in rural communities. The specific aim was to apply the RE-AIM framework in a pragmatic evaluation of NTNP services.

Materials and methods

We conducted a prospective implementation evaluation. Guided by the pragmatic application of the RE-AIM framework, we conceptualized a mixed-methods evaluation for key metrics: (1) reach into the Veteran patient population assessed as total NTNP new patient consult volume and total NTNP clinical encounters (new and return); (2) effectiveness through configurational analysis of conditions leading to high Veteran satisfaction and referring providers perceived effectiveness; (3) adoption and implementation by VA sites through site staff and NTNP interviews; (4) implementation success through perceived management, implementation barriers, facilitators, and adaptations and through rapid qualitative analysis of multiple stakeholders' assessments; and (5) maintenance of NTNP through monitoring quarterly TeleNeurology consultation volume.

Results

NTNP was successfully implemented in 13 VA Medical Centers over 2 years. The total NTNP new patient consult volume in fiscal year 2021 (FY21) was 836 (58% rurally residing); this increased to 1,706 in fiscal year 2022 (FY22) (55% rurally residing). Total (new and follow-up) NTNP clinical encounters were 1,306 in FY21 and 3,730 in FY22. Overall, the sites reported positive experiences with program implementation and perceived that the program was serving Veterans with little access to neurological care. Veterans also reported high satisfaction with the NTNP program. We identified the patient level of perceived excellent teleneurologist-patient communications, reduced need to drive to get care, and that NTNP provided care that the Veteran otherwise could not access as key factors related to high Veteran satisfaction.

Conclusions

The VA NTNP demonstrated substantial reach, adoption, effectiveness, implementation success, and maintenance over the first 2 years of the program. The NTNP was highly acceptable to both the clinical providers making the referrals and the Veterans receiving the referred video care. The pragmatic application of the RE-AIM framework to guide implementation evaluations is appropriate, comprehensive, and recommended for future applications.

Organizational Readiness for Patient-Facing Mobile Teledermatology to Care for Established Veteran Patients in the United States

Purpose: To improve patient access to skin care, the Department of Veterans Affairs (VA) developed a patient-facing asynchronous mobile teledermatology application (app), which allows patients to follow up remotely with dermatologists. To understand how the app would be received in VA, we examined Organizational Readiness for Change (ORC), an important prelude to effective implementation, which includes the shared resolve and collective ability of organizational members to implement a change. Methods: We used a mixed-methods multiple case study approach to assess ORC at three VA facilities. Data derived from a site process call, surveys, and semistructured telephone interviews of VA staff, field notes, and administrative data. Results: Participants at all three facilities supported the intervention and recognized the value of using the app to increase patients' access to dermatologists, but expressed concerns largely related to disruption of the pre-existing clinical workflow. Participants at the facility most actively using the app had the highest overall ORC score and reported the most facilitators. Facility leadership support when guided by a clinical champion minimized barriers by recognizing the complexities of health care provision at specialty clinics. Discussion: While provider buy-in remained a barrier, leadership, guided by the clinical champion, played a critical role instituting implementation strategies. The strong association between the ORC survey score and the presence of facilitators and barriers suggests that the ORC survey may be a rapid, convenient, and effective tool for health care systems to identify favorable sites for wider implementation of mobile telehealth care. Clinical Trials Identifier: NCT03241589.

Teledermatology in Rural, Underserved, and Isolated Environments: A Review

Purpose of Review

Recent Findings

Summary

The Utilization and Impact of Live Interactive and Store-and-Forward Teledermatology in a Veterans Affairs Medical Center During the COVID-19 Pandemic

Introduction: Teledermatology has emerged as a promising method of continuing dermatologic care during the coronavirus 2019 (COVID-19) pandemic, including in the Department of Veterans Affairs (VA). Analysis of the utilization and impact of teledermatology within the San Francisco Veterans Affairs Health Care System (SFVAHCS) may elucidate the ways that teledermatology programs can continue to be optimized. Methods: We conducted a retrospective analysis of live interactive encounters, Veterans Affairs Video Connect (VVC), store-and-forward telehealth (SFT), and face-to-face (FTF) consultations, performed within the SFVAHCS from March 2020 to December 2020. To assess utilization, we analyzed numbers of encounters throughout 2020. To assess impact, we analyzed primary diagnoses for each encounter and rates of recommendations for medications and lesion biopsies. Additionally, we assessed diagnostic accuracy associated with each teledermatology type by measuring concordance between teledermatologists' clinical diagnoses and histopathological diagnoses. Results: Two thousand two hundred fifty FTF, 347 VVC, and 470 SFT encounters were conducted from March to December 2020. More female patients utilized VVC, and patients who utilized VVC were younger than SFT and FTF users (p < 0.01). SFT was utilized more by patients from rural areas (p < 0.01). Diagnoses addressed were significantly different between VVC and SFT. A majority of VVC encounters involved referrals for inflammatory conditions; primary diagnoses associated with SFT consultations were most frequently neoplasms. Comparison of VVC and SFT outcomes showed that more VVC visits resulted in a medication recommendation, while more SFT consultations resulted in a biopsy recommendation. Conclusions: Teledermatology contributed to meeting patient needs throughout 2020 and created an impact on clinical management. Patient characteristics, diagnoses, and type of impact associated with encounters varied between SFT and VVC. This analysis provides insight into teledermatology utilization within the VA system and can contribute to efforts to improve the quality of teledermatology care for veterans.

Teledermatology in the time of COVID-19

AIMS

The enormous spread of the novel Corona virus disease (COVID-19) represents a challenge to dermatological practice. Accumulating evidence has suggested a possible role of teledermatology in facing this challenge. In this article, we aimed to give a general overview of teledermatology in terms of models of practice, modes of delivery, advantages, limitations, ethical considerations and legislative challenges as well as discussing, using examples from literature, how dermatological practice can benefit from teledermatology during the time of the COVID-19 pandemic.

DISCUSSION AND CONCLUSION

Teledermatology could be an accessible, accurate and cost-effective substitute for conventional face-to-face dermatological consultations during the COVID-19 pandemic. However, teledermatology practice needs updated legislation and guidelines. More efforts should be done to encourage dermatologists, especially in underserved communities, to provide teledermatology services. Ethical issues and data security related to teledermatology have to be considered.

Implementation of Mobile Teledermatology: Challenges and Opportunities

Background: While teledermatology is well-established in the Department of Veterans Affairs (VA), its implementation is far from complete. To facilitate consultative teledermatology and extend its reach, VA introduced a mobile teledermatology application (app) at three VA sites. Methods: We evaluated the initial implementation process using a mixed-methods, multiple case study approach to assess organizational readiness for change (ORC), which included examining facilitators, barriers, and contextual factors that affected implementation. We conducted: (1) group interviews and bimonthly reports to understand site processes; (2) semistructured interviews and surveys of individual participants representing a range of implementation roles; and (3) a review of internal organizational documents. We identified themes from interviews using an iterative process, and computed an ORC score based on surveys. Results: Forty-three individuals participated in the study. Qualitative data from all sites, corroborated by survey data available from one site, revealed a high readiness for change with an ORC score of 4.2, where 5 = maximal readiness for change. Facilitators included support from leadership and clinical champions, active telehealth programs, and an understanding and appreciation of the program and the resources needed. At all sites, however, technical issues negatively affected adoption; these included a suboptimal information technology infrastructure, which led to the inoperability of the app at two sites, and technical inefficiencies related to users' unfamiliarity with new devices and inconsistent internet access. Conclusions: Although a strong commitment to change and a confidence to effect change existed, these alone were insufficient to surmount barriers to implementation effectiveness. Clinical Trials Registration: NCT03241589.