The DOI matches its Crossref record; the references it cites are not checked yet.
Toward Reuse of Clinical Data for Research and Quality Improvement: The End of the Beginning?
Abstract
Editorials1 September 2009Toward Reuse of Clinical Data for Research and Quality Improvement: The End of the Beginning?FREEMark G. Weiner, MD and Peter J. Embi, MD, MSMark G. Weiner, MDFrom University of Pennsylvania, Philadelphia, PA 19104, and University of Cincinnati, Cincinnati, OH 45267. and Peter J. Embi, MD, MSFrom University of Pennsylvania, Philadelphia, PA 19104, and University of Cincinnati, Cincinnati, OH 45267.Author, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-151-5-200909010-00141 SectionsAboutVisual AbstractPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail Today's health information technology (HIT) landscape provides an unprecedented convergence of comprehensive electronic health records, robust computational processing power, data-sharing capabilities, and emerging financial incentives that favor the widespread adoption and meaningful use of such systems. Even as the primary value proposition for HIT adoption by clinical practices remains a matter of debate (1), 2 articles in this issue (2, 3) help to illustrate the potential for secondary benefits by discussing the value of distributed health data networks for improving research and health care quality.The multiple goals of population health, pharmaceutical surveillance, comparative effectiveness research, and other major initiatives being advanced to address the needs of our health care and research enterprises have create…
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“It is generally accepted that, as a result of differences in priorities between clinical and research settings, clinical data are not recorded with the same care as research data.4”
From Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research (2013) · cites this paper as [4]
Citations
The citation lists haven’t been fetched yet
References 14 · Cited by 129
Research works printed but not linked: 14
- 10.1056/NEJMp0901592 · DOI
- 10.7326/0003-4819-151-5-200909010-00139 · DOI
- 10.7326/0003-4819-151-5-200909010-00140 · DOI
- 10.1197/jamia.M2997 · DOI
- Adler-Milstein J, 2008, Health Aff (Millwood), 27, w60
- Johnson SB, 1994, Proc Annu Symp Comput Appl Med Care, 281
- Steib SA, 1995, Proc Annu Symp Comput Appl Med Care, 62
- 10.1002/sim.4780100406 · DOI
- 10.7326/0003-4819-111-9-751 · DOI
- 10.1002/sim.4780100415 · DOI
- 10.1002/sim.4780100417 · DOI
- 10.1002/sim.4780100404 · DOI
- 10.1197/jamia.M2273 · DOI
- 10.1136/bmj.b81 · DOI
Metadata
- Authors
- Weiner, M. G., & Embi, P. J.
- Affiliations
- University of Cincinnati (US)
- From University of Pennsylvania, Philadelphia, PA 19104, and University of Cincinnati, Cincinnati, OH 45267.
- Corresponding author
- Weiner, Mark G.
- ORCID
- Weiner, Mark G.
- Venue
- Annals of Internal Medicine
- Publisher
- American College of Physicians
- Published
- 2009-09-01
- Volume
- 151
- Issue
- 5
- Pages
- 359-360
- ISSN
- 0003-4819 (ISSN-L)
- 1539-3704
- OpenAlex
- W2006872004
- Cited by
- 129
- References
- 14
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 3 · 2023: 3 · 2022: 6 · 2021: 10 · 2020: 6 · 2019: 13 · 2018: 7 · 2017: 13 · 2016: 11 · 2015: 16 · 2014: 9 · 2013: 11 · 2012: 9
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annals of Internal Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5ul1rr026314-03, UL1TR000077)
- Agency for Healthcare Research and Quality (5r18hs017099-02)
- U.S. National Library of Medicine (R01LM009533, 1-R01-LM-009533-01A1)
- National Center for Research Resources (1UL1 RR-026314-01, UL1RR024134, 1-UL1-RR-024134-04)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Keywords
- clinical data reuse, electronic health records, health information technology, healthcare quality improvement, health care research, data sharing, population health, comparative effectiveness research, pharmacovigilance, health data repositories, meaningful use, health care costs
- MeSH terms
- Health Services Research, Medical Records Systems, Computerized
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review