GuidelineJournal of the American Medical Informatics Association : JAMIA2021
Ten principles for data sharing and commercialization.
Guideline in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed.
- Patient data for commercial companies? An ethical framework for sharing patients' data with for-profit companies for research.Journal of medical ethics · 2025Article
- A scoping review of ethical aspects of public-private partnerships in digital health.NPJ digital medicine · 2025Article
- Ethical Dimensions of Clinical Data Sharing by U.S. Health Care Organizations for Purposes beyond Direct Patient Care: Interviews with Health Care Leaders.Applied clinical informatics · 2025Article
- Article
- Aiding the Adoption of Master Protocols by Optimizing Patient Engagement.Therapeutic innovation & regulatory science · 2023Article
- Future pHealth Ecosystem-Holistic View on Privacy and Trust.Journal of personalized medicine · 2023Article
- How Are Leading Research Institutions Engaging with Data Sharing Tools and Programs?AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- Better together: Integrating biomedical informatics and healthcare IT operations to create a learning health system during the COVID-19 pandemic.Learning health systems · 2022Article
- Understanding enterprise data warehouses to support clinical and translational research: enterprise information technology relationships, data governance, workforce, and cloud computing.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Individual notions of fair data sharing from the perspectives of Swiss stakeholders.BMC health services research · 2021Article
- Sharing Biomedical Data: Strengthening AI Development in Healthcare.Healthcare (Basel, Switzerland) · 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
11 authors.
Funding
Abstract
Digital medical records have enabled us to employ clinical data in many new and innovative ways. However, these advances have brought with them a complex set of demands for healthcare institutions regarding data sharing with topics such as data ownership, the loss of privacy, and the protection of the intellectual property. The lack of clear guidance from government entities often creates conflicting messages about data policy, leaving institutions to develop guidelines themselves. Through discussions with multiple stakeholders at various institutions, we have generated a set of guidelines with 10 key principles to guide the responsible and appropriate use and sharing of clinical data for the purposes of care and discovery. Industry, universities, and healthcare institutions can build upon these guidelines toward creating a responsible, ethical, and practical response to data sharing.
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.