ArticleYearbook of medical informatics2021
The Evolution of Clinical Knowledge During COVID-19: Towards a Global Learning Health System.
Article in Yearbook of medical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Visualizing the Maternal Health Journey for Learning Health Systems: Mixed Methods Combined Experience Approach.Journal of participatory medicine · 2026Article
- Knowledge Representation and Management in the Age of Long Covid and Large Language Models: a 2022-2023 Survey.Yearbook of medical informatics · 2024Review
- Resource utilization and preparedness within the COVID-19 pandemic in Tunisian medical intensive care units: A nationwide retrospective multicentre observational study.Journal of infection and public health · 2023Observational
- Strengthening and promoting digital health practice: results from a Global Digital Health Partnership's survey.Frontiers in public health · 2023Article
- Development and assessment of novel virtual COVID-19 trainer-of trainers course implemented by an academic-humanitarian partnership.Global health action · 2022Article
- Achieving Inclusivity by Design: Social and Contextual Information in Medical Knowledge.Yearbook of medical informatics · 2022Review
- Health Data, Information, and Knowledge Sharing for Addressing the COVID-19.Yearbook of medical informatics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesWe examine the knowledge ecosystem of COVID-19, focusing on clinical knowledge and the role of health informatics as enabling technology. We argue for commitment to the model of a global learning health system to facilitate rapid knowledge translation supporting health care decision making in the face of emerging diseases. METHODS AND
resultsWe frame the evolution of knowledge in the COVID-19 crisis in terms of learning theory, and present a view of what has occurred during the pandemic to rapidly derive and share knowledge as an (underdeveloped) instance of a global learning health system. We identify the key role of information technologies for electronic data capture and data sharing, computational modelling, evidence synthesis, and knowledge dissemination. We further highlight gaps in the system and barriers to full realisation of an efficient and effective global learning health system.
conclusionsThe need for a global knowledge ecosystem supporting rapid learning from clinical practice has become more apparent than ever during the COVID-19 pandemic. Continued effort to realise the vision of a global learning health system, including establishing effective approaches to data governance and ethics to support the system, is imperative to enable continuous improvement in our clinical care.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.