The Evolution of Clinical Knowledge During COVID-19: Towards a Global Learning Health System

Knowledge Representation and Management in the Age of Long Covid and Large Language Models: a 2022-2023 Survey

OBJECTIVES

To select, present, and summarize cutting edge work in the field of Knowledge Representation and Management (KRM) published in 2022 and 2023.

METHODS

A comprehensive set of KRM-relevant articles published in 2022 and 2023 was retrieved by querying PubMed. Topic modeling with Latent Dirichlet Allocation was used to further refine this query and suggest areas of focus. Selected articles were chosen based on a review of their title and abstract.

RESULTS

An initial set of 8,706 publications were retrieved from PubMed. From these, fifteen papers were ultimately selected matching one of two main themes: KRM for long COVID, and KRM approaches used in combination with generative large language models.

CONCLUSIONS

This survey shows the ongoing development and versatility of KRM approaches, both to improve our understanding of a global health crisis and to augment and evaluate cutting edge technologies from other areas of artificial intelligence.

Self-directed learning among general practitioners in the German-speaking part of Switzerland: a qualitative study using semi-structured interviews

AIMS OF THE STUDY

This research aimed to investigate the self-directed learning (SDL) habits of Swiss general practitioners from the German-speaking part of Switzerland, understanding how they acquire new knowledge, exploring the impact of the COVID-19 pandemic on these habits and identifying optimisation strategies for their future self-directed learning.

METHODS

We employed a qualitative study design, conducting semi-structured interviews with 16 general practitioners from 30 May 2022 to 06 July 2022. Thematic analysis based on a mixed deductive/inductive approach was used to gain insight into the learning activities and self-directed learning practices of the practitioners.

RESULTS

The interviewed general practitioners demonstrated a versatile approach to self-directed learning, where peer communication emerged as the most predominant learning method. It is noteworthy that the younger generation in particular showed a strong inclination for peer learning and is well prepared for the integration of advanced digital solutions for peer communication. Furthermore, a significant shift was observed in media-based self-directed learning, especially since the COVID-19 pandemic. Digital platforms and repositories for practical learning were mentioned as educational mainstays by many interviewees, reflecting a profound technological shift observed over the past 25 years and especially since the pandemic. The primary motivation for pursuing new knowledge remains patient care, although personal development and staying up-to-date with medical and technological advancements are also key motivators. Although the pandemic has undeniably accelerated the transition towards digital learning, it has also brought with it challenges such as information overload and technical difficulties. There was an evident decline in formal learning venues and physical presence during the pandemic, yet the reported value of in-person interactions remains high. Suggestions for optimising self-directed learning included enhancing digital offerings, fostering stronger peer networks and integrating more practical content.

CONCLUSIONS

The COVID-19 pandemic has catalysed a transformation in the self-directed learning practices of general practitioners in the German-speaking part of Switzerland, underlining the importance of a balanced approach between digital and traditional learning methods. As the digital realm of self-directed learning grows, it is essential to address existing challenges and capitalise on potential advantages. Both individual networking efforts like general practitioner quality circles and initiatives from official authorities like informal self-test opportunities can play pivotal roles in refining self-directed learning practices. The findings from this study offer valuable insights for enhancing learning resources and environments that align with general practitioners' needs and preferences. Future research should investigate the ongoing impact of advanced digital technologies on self-directed learning to understand the evolving landscape in a post-pandemic world.

Strengthening and promoting digital health practice: results from a Global Digital Health Partnership's survey

Background and objective

The capacity to promote and disseminate the best evidence-based practices in terms of digital health innovations and technologies represents an important goal for countries and governments. To support the digital health maturity across countries the Global Digital Health Partnership (GDHP) was established in 2019. The mission of the GDHP is to facilitate global collaboration and knowledge-sharing in the design of digital health services, through the administration of surveys and white papers.

Objective

The scope of this study is to critically analyze and discuss results from the Evidence and Evaluation GDHP Work Stream's survey, understand how governments and countries intend to address main obstacles to the digital health implementation, identify their strategies for a communication of effective digital health services, and promote the sharing of international based best practices on digital health.

Methods

This survey followed a cross-sectional study approach. A multiple-choice questionnaire was designed to gather data. Choices were extracted from research publications retrieved through a rapid review.

Results

Out of 29 countries receiving the survey, 10 returned it. On a scale from 1 to 5, eHealth systems/platforms (mean = 3.56) were indicated as the most important tool for centralized infrastructure to collect information on digital health, while primary care (mean = 4.0) represented the most voted item for healthcare services to collect information on digital health. Seven Countries out of 10 identified lack of organization, skepticism of clinicians, and accessibility of the population as a barriers to adopt digital health implementation, resulting to be the most voted items. Finally, the most endorsed priorities in digital health for Countries were the adoption of data-driven approaches (6 Countries), and telehealth (5 Countries).

Conclusion

This survey highlighted the main tools and obstacles for countries to promote the implementation of evidence-based digital health innovations. Identifying strategies that would communicate the value of health care information technology to healthcare professionals are particularly imperative. Effective communication programs for clinicians and the general population in addition to improved digital health literacy (both for clinicians and citizens) will be the key for the real implementation of future digital health technologies.

Resource utilization and preparedness within the COVID-19 pandemic in Tunisian medical intensive care units: A nationwide retrospective multicentre observational study

BACKGROUND

The worldwide SARS-CoV-2 pandemic represents the most recent global healthcare crisis. While all healthcare systems suffered facing the immense burden of critically-ill COVID-19 patients, the levels of preparedness and adaptability differed highly between countries.

AIM

to describe resource mobilization throughout the COVID-19 waves in Tunisian University Medical Intensive Care Units (MICUs) and to identify discrepancies in preparedness between the provided and required resource.

METHODS

This is a longitudinal retrospective multicentre observational study conducted between March 2020 and May 2022 analyzing data from eight University MICUs. Data were collected at baseline and at each bed expansion period in relation to the nation's four COVID-19 waves. Data collected included epidemiological, organizational and management trends and outcomes of COVID-19 and non-COVID-19 admissions.

RESULTS

MICU-beds increased from 66 to a maximum of 117 beds. This was possible thanks to equipping pre-existing non-functional MICU beds (n = 20) and creating surge ICU-beds in medical wards (n = 24). MICU nurses increased from 53 to 200 of which 99 non-ICU nurses, by deployment from other departments and temporary recruitment. The nurse-to-MICU-bed ratio increased from 1:1 to around 1·8:1. Only 55% of beds were single rooms, 80% were equipped with ICU ventilators. These MICUs managed to admit a total of 3368 critically-ill patients (15% of hospital admissions). 33·2% of COVID-19-related intra-hospital deaths occurred within the MICUs.

CONCLUSION

Despite a substantial increase in resource mobilization during the COVID-19 pandemic, the current study identified significant persisting discrepancies between supplied and required resource, at least partially explaining the poor overall prognosis of critically-ill COVID-19 patients.

Development and assessment of novel virtual COVID-19 trainer-of trainers course implemented by an academic-humanitarian partnership

Background

In response to the coronavirus disease (COVID-19) pandemic, Project HOPE®, an international humanitarian organization, partnered with Brown University to develop and deploy a virtual training-of-trainers (TOT) program to provide practical knowledge to healthcare stakeholders. This study is designed to evaluate this TOT program.

Objective

The goal of this study is to assess the effectiveness of this educational intervention in enhancing knowledge on COVID-19 concepts and to present relative change in score of each competency domains of the training.

Methods

The training was created by interdisciplinary faculty from Brown University and delivered virtually. Training included eight COVID-19 specific modules on infection prevention and control, screening and triage, diagnosis and management, stabilization and resuscitation, surge capacity, surveillance, and risk communication and community education. The assessment of knowledge attainment in each of the course competency domain was conducted using 10 question pre-and post-test evaluations. Paired t-test were used to compare interval knowledge scores in the overall cohort and stratified by WHO regions. TOT dissemination data was collected from in-country partners by Project Hope.

Results

Over the period of 7 months, 4,291 personnel completed the TOT training in 55 countries, including all WHO regions. Pre-test and post-test were completed by 1,198 and 706 primary training participants, respectively. The mean scores on the pre-test and post-test were 68.45% and 81.4%, respectively. The mean change in score was 11.72%, with P value <0.0005. All WHO regions had a statistically significant improvement in their score in post-test. The training was disseminated to 97,809 health workers through local secondary training.

Conclusion

Innovative educational tools resulted in improvement in knowledge related to the COVID-19 pandemic, significantly increasing the average score on knowledge assessment testing. Academic – humanitarian partnerships can serve to implement and disseminate effective education rapidly across the globe.

Achieving Inclusivity by Design: Social and Contextual Information in Medical Knowledge

OBJECTIVES

To select, present, and summarize the most relevant papers published in 2020 and 2021 in the field of Knowledge Representation and Knowledge Management, Medical Vocabularies and Ontologies, with a particular focus on health inclusivity and bias.

METHODS

A broad search of the medical literature indexed in PubMed was conducted. The search terms 'ontology'/'ontologies' or 'medical knowledge management' for the dates 2020-2021 (search conducted November 26, 2021) returned 9,608 records. These were pre-screened based on a review of the titles for relevance to health inclusivity, bias, social and contextual factors, and health behaviours. Among these, 109 papers were selected for in-depth reviewing based on full text, from which 22 were selected for inclusion in this survey.

RESULTS

Selected papers were grouped into three themes, each addressing one aspect of the overall challenge for medical knowledge management. The first theme addressed the development of ontologies for social and contextual factors broadening the scope of health information. The second theme addressed the need for synthesis and translation of knowledge across historical disciplinary boundaries to address inequities and bias. The third theme encompassed a growing interest in the semantics of datasets used to train medical artificial intelligence systems and on how to ensure they are free of bias.

CONCLUSIONS

Medical knowledge management and semantic resources have much to offer efforts to tackle bias and enhance health inclusivity. Tackling inequities and biases requires relevant, semantically rich data, which needs to be captured and exchanged.

Health Data, Information, and Knowledge Sharing for Addressing the COVID-19

OBJECTIVES

To introduce the 2021 International Medical Informatics Association (IMIA) Yearbook by the editors.

METHODS

The editorial provides an introduction and overview to the 2021 IMIA Yearbook whose special topic is "Managing Pandemics with Health Informatics - Successes and Challenges". The Special Topic, the keynote paper, and survey papers are discussed. The IMIA President's statement and the IMIA dialogue with the World Health Organization are introduced. The sections' changes in the Yearbook Editorial Committee are also described.

RESULTS

Health informatics, in the context of a global pandemic, led to the development of ways to collect, standardize, disseminate and reuse data worldwide: public health data but also information from social networks and scientific literature. Fact checking methods were mostly based on artificial intelligence and natural language processing. The pandemic also introduced new challenges for telehealth support in times of critical response. Next generation sequencing in bioinformatics helped in decoding the sequence of the virus and the development of messenger ribonucleic acid (mRNA) vaccines.

CONCLUSIONS

The Corona Virus Disease 2019 (COVID-19) pandemic shows the need for timely, reliable, open, and globally available information to support decision making and efficiently control outbreaks. Applying Findable, Accessible, Interoperable, and Reusable (FAIR) requirements for data is a key success factor while challenging ethical issues have to be considered.