The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Electronic Health Records and National Patient-Safety Goals
Open accessAbstract
Hospitals and clinics are adapting to new technologies and implementing electronic health records, but the efforts need to be aligned explicitly with goals for patient safety. EHRs bring the risks of both technical failures and inappropriate use, but they can also help to monitor and improve patient safety.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Digital systems frequently mediate clinical work in ways that reduce direct visibility of system state and process integrity.”
From Why digital health fails silently: a sociotechnical theory of health information technology–related risk (2026) · cites this paper as [28]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Organisational guidance such as the SAFER Guides reflects this shift by emphasising governance, monitoring, and continuous self-assessment as essential components of EHR safety, rather than treating safety as a function of software reliability alone (28, 48).”
From Why digital health fails silently: a sociotechnical theory of health information technology–related risk (2026) · cites this paper as [28]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Rather than focusing primarily on preventing individual errors, the findings suggest that safer digital healthcare depends on strengthening organisational capacity to detect emerging hazards, contain their effects, and learn from system-level vulnerabilities (28, 55).”
From Why digital health fails silently: a sociotechnical theory of health information technology–related risk (2026) · cites this paper as [28]
In the citing paper
“The second phase addresses unsafe or inappropriate use of technology as well as unsafe changes in the overall workflow that emerge due to technology use.”
From Exploring the sociotechnical intersection of patient safety and electronic health record implementation (2014) · cites this paper as [27]
In the citing paper
“The first phase is concerned with safety events that are unique and specific to technology (ie, unsafe technology), which often emerge early in the process of implementation.”
From Exploring the sociotechnical intersection of patient safety and electronic health record implementation (2014) · cites this paper as [27]
In the citing paper
“While the boundaries between the phases may not always be distinct”
From Exploring the sociotechnical intersection of patient safety and electronic health record implementation (2014) · cites this paper as [27]
In the citing paper
“The third phase addresses use of technology proactively to identify and monitor potential safety concerns before harm occurs to the patient.”
From Exploring the sociotechnical intersection of patient safety and electronic health record implementation (2014) · cites this paper as [27]
In the citing paper
“Therefore, to understand the intersection of EHR and patient safety , Sittig and Singh 27 further proposed a three-phase model to account for the variation in the stages of implementation, levels of complexity, and related patient safety concerns within an EHR-enabled healthcare system.”
From Exploring the sociotechnical intersection of patient safety and electronic health record implementation (2014) · cites this paper as [27]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Normal Accidents: Living with High Risk Technologies
Grimes, A. J., & Perrow, C. B. (1985) · Academy of Management Review · doi:10.2307/257982 · Cited by 4,985
Role of Computerized Physician Order Entry Systems in Facilitating Medication Errors
Koppel, R. (2005) · JAMA · doi:10.1001/jama.293.10.1197 · Cited by 2,126
The “Meaningful Use” Regulation for Electronic Health Records
Blumenthal, D., & Tavenner, M. (2010) · New England Journal of Medicine · doi:10.1056/nejmp1006114 · Cited by 2,059
Sittig, D. F., & Singh, H. (2010) · Quality and Safety in Health Care · doi:10.1136/qshc.2010.042085 · Cited by 897
Self-citationStimulating the Adoption of Health Information Technology
Blumenthal, D. (2009) · New England Journal of Medicine · doi:10.1056/nejmp0901592 · Cited by 728
The Menlo Report: Ethical Principles Guiding Information and Communication Technology ResearchPreprint
Kenneally, E. E., & Dittrich, D. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2445102 · Cited by 363
Information Technology Comes to Medicine
Blumenthal, D., & GLASER, J. P. (2007) · New England Journal of Medicine · doi:10.1056/nejmhpr066212 · Cited by 358
Improving Outcomes with Clinical Decision Support : An Implementer's Guide
Osheroff, J. A., Teich, J. M., Levick, D., Saldana, L., Velasco, F. T., Sittig, D. F., Rogers, K. M., & Jenders, R. A. (2012) · Cited by 297
Self-citationTiering Drug-Drug Interaction Alerts by Severity Increases Compliance Rates
Paterno, M. D., Maviglia, S. M., Gorman, P. N., Seger, D. L., Yoshida, E., Seger, A. C., Bates, D. W., & Gandhi, T. K. (2009) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2808 · Cited by 263
Kuperman, G. J., Teich, J. M., Tanasijevic, M. J., Ma'Luf, N., Rittenberg, E., Jha, A., Fiskio, J., Winkelman, J., & Bates, D. W. (1999) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1999.0060512 · Cited by 252
Research works printed but not linked: 2
- Hamblin JF, 2010, Electronic Journal of Health Informatics, 5, 2010
- Department of Health and Human Services, Office of the Secretary, 2012, Fed Regist, 77, 54163
Cited by
Sorted by citations
Types and Origins of Diagnostic Errors in Primary Care Settings
Singh, H., Giardina, T. D., Meyer, A. N. D., Forjuoh, S. N., Reis, M. D., & Thomas, E. J. (2013) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2013.2777 · Cited by 559
Self-citationBates, D. W., & Singh, H. (2018) · Health Affairs · doi:10.1377/hlthaff.2018.0738 · Cited by 509
Self-citationQuality of Life and Burnout Rates Across Surgical Specialties
Schwab, M. E., Evans, S. R. T., & Sosin, M. (2016) · JAMA Surgery · doi:10.1001/jamasurg.2016.1647 · Cited by 356
Security Techniques for the Electronic Health Records
Kruse, C. S., Smith, B., Vanderlinden, H., & Nealand, A. (2017) · Journal of Medical Systems · doi:10.1007/s10916-017-0778-4 · Cited by 275
Zahabi, M., Kaber, D. B., & Swangnetr, M. (2015) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720815576827 · Cited by 240
Metadata
- Authors
- Sittig, D. F., & Singh, H.
- Affiliations
- Memorial Hermann (US)
- Michael E. DeBakey VA Medical Center (US)
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2012-11-08
- Volume
- 367
- Issue
- 19
- Pages
- 1854-1860
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- PMC
- PMC3690003
- OpenAlex
- W2116241811
- Cited by
- 204
- References
- 48
- Citations by year
- 2026: 11 · 2025: 4 · 2024: 13 · 2023: 5 · 2022: 6 · 2021: 7 · 2020: 10 · 2019: 16 · 2018: 20 · 2017: 13 · 2016: 25 · 2015: 23 · 2014: 28 · 2013: 22 · 2012: 1
- FWCI
- 38.38
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Agency for Healthcare Research and Quality (R18HS017820)
- National Cancer Institute (K23CA125585)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Patient Safety and Medication Errors
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Keywords
- electronic health records, patient safety, National Patient Safety Goals, EHR implementation, technical failure, patient safety monitoring, hospitals
- MeSH terms
- Goals, Humans, Software, United States, Medical Records Systems, Computerized, Computer Security, American Recovery and Reinvestment Act, Electronic Health Records, Patient Safety, Meaningful Use
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