ReviewThe Lancet. Digital health2022
Data capture and sharing in the COVID-19 pandemic: a cause for concern.
Review in The Lancet. Digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
42 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.
- Barriers impeding research data sharing on chronic disease prevention among the older adults in low-and middle-income countries: a systematic review.Frontiers in public health · 2024Pooled it
- How Pandemics Have Reshaped the Respiratory Virus Data Landscape in Europe: Scoping Review.Journal of medical Internet research · 2026Article
- Augmenting healthcare systems for pandemic preparedness: a Lean Six Sigma perspective.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2026Review
- Data for Equity: Can Linked Administrative Data Inform Pathways to More Equitable Child Health?The Medical journal of Australia · 2026Article
- Worldwide willingness to share health data high but privacy, consent and transparency paramount, a meta-analysis.NPJ digital medicine · 2025Article
- [Piloting an electronic death certificate (eTB app)-physicians' user experiences].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025Article
- A quantitative analysis of the use of anonymization in biomedical research.NPJ digital medicine · 2025Article
- Real-world evidence: state-of-the-art and future perspectives.Journal of comparative effectiveness research · 2025Review
- Implementation report on pioneering federated data access for the German National Emergency Department Data Registry.NPJ digital medicine · 2025Article
- Uncertainty quantification of antibody measurements: Physical principles and implications for standardization.Physical review. E · 2025Article
- Current status, challenges, and prospects of artificial intelligence applications in wound repair theranostics.Theranostics · 2025Review
- Improving transparency in data access processes: Developing best practice standards and promoting system-wide change through a competitive funding call.International journal of population data science · 2025Article
- The Utilization of Blockchain for Data Security for the Chronic Pain Physician.Current pain and headache reports · 2024Review
- Using artificial intelligence and predictive modelling to enable learning healthcare systems (LHS) for pandemic preparedness.Computational and structural biotechnology journal · 2024Review
- The Challenges and Lessons Learned Building a New UK Infrastructure for Finding and Accessing Population-Wide COVID-19 Data for Research and Public Health Analysis: The CO-CONNECT Project.Journal of medical Internet research · 2024Article
- Stakeholders' perceptions of personal health data sharing: A scoping review.PLOS digital health · 2024Article
- Informatics assessment of COVID-19 data collection: an analysis of UK Biobank questionnaire data.BMC medical informatics and decision making · 2024Article
- Non-pharmaceutical interventions: evaluating challenges and priorities for future health shocks.BMJ (Clinical research ed.) · 2024Article
- Promoting Collaborative Scholarship During the COVID-19 Pandemic Through an Innovative COVID-19 Data Explorer and Repository at Yale School of Medicine: Development and Usability Study.JMIR formative research · 2024Article
- European Health Information Portal: a one-stop shop for health information.European journal of public health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Routine health care and research have been profoundly influenced by digital-health technologies. These technologies range from primary data collection in electronic health records (EHRs) and administrative claims to web-based artificial-intelligence-driven analyses. There has been increased use of such health technologies during the COVID-19 pandemic, driven in part by the availability of these data. In some cases, this has resulted in profound and potentially long-lasting positive effects on medical research and routine health-care delivery. In other cases, high profile shortcomings have been evident, potentially attenuating the effect of-or representing a decreased appetite for-digital-health transformation. In this Series paper, we provide an overview of how facets of health technologies in routinely collected medical data (including EHRs and digital data sharing) have been used for COVID-19 research and tracking, and how these technologies might influence future pandemics and health-care research. We explore the strengths and weaknesses of digital-health research during the COVID-19 pandemic and discuss how learnings from COVID-19 might translate into new approaches in a post-pandemic era.
Indexed as
Identifiers
What OpenQuestion holds
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.