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.
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“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]
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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
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Communicating Findings of Delayed Diagnostic Evaluation to Primary Care Providers
Meyer, A. N. D., Murphy, D. R., & Singh, H. (2016) · The Journal of the American Board of Family Medicine · doi:10.3122/jabfm.2016.04.150363 · Cited by 12
Self-citationIncidence and cost of medications dispensed despite electronic medical record discontinuation
Baranowski, P. J., Peterson, K. L., Statz-Paynter, J. L., & Zorek, J. A. (2015) · Journal of the American Pharmacists Association · doi:10.1331/japha.2015.14154 · Cited by 13
Khajouei, R., Jahromi, M. E., & Ameri, A. (2019) · Journal of Medical Systems · doi:10.1007/s10916-019-1319-0 · Cited by 12
Kadiwaru, W., Peradantha, I. B. G. S., & Karolina, W. F. (2016) · Lekesan Interdisciplinary Journal of Asia Pacific Arts · doi:10.31091/lksn.v9i1.3606 · Cited by 11
Exploring the Strategies People with Parkinson's Disease Use to Self-track Symptoms and Medications
Tang, C., Shuva, I. K., Thelen, M. M., Zhu, N., & Miller, N. S. (2024) · ACM Transactions on Accessible Computing · doi:10.1145/3649454 · Cited by 10
Pérez‐Toribio, A., Moreno‐Poyato, A. R., Lluch‐Canut, T., El-Abidi, K., Rubia-Ruiz, G., Rodríguez-López, A. M., Pérez‐Moreno, J. J., Bernabéu, M. V. P., Sánchez‐Balcells, S., Ventosa‐Ruiz, A., et al. (2024) · Journal of Nursing Management · doi:10.1155/2024/7392388 · Cited by 10
Barnett, M. L., Mehrotra, A., Frolkis, J. P., Spinks, M., Steiger, C. E., Hehir, B., Greenberg, J. O., & Singh, H. (2015) · Journal of General Internal Medicine · doi:10.1007/s11606-015-3516-y · Cited by 11
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Jabin, M. S. R. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2026.1785086 · Cited by 10
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Kashiwagi, D. T., Sexton, M. D., Graves, C., Johnson, J. M., Callies, B. I., Yu, R. C., & Thompson, J. M. (2016) · American Journal of Medical Quality · doi:10.1177/1062860616667546 · Cited by 9
How to assure the quality of clinical records? A 7-year experience in a large academic hospital
Scarpis, E., Brunelli, L., Tricarico, P., Poletto, M., Panzera, A., Londero, C., Castriotta, L., & Brusaferro, S. (2021) · PLoS ONE · doi:10.1371/journal.pone.0261018 · Cited by 9
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Khatri, N., & Gupta, V. (2014) · Health Care Management Review · doi:10.1097/hmr.0000000000000039 · Cited by 9
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Whalen, K. J., Grella, P., Snydeman, C. K., Dwyer, A.-M. X., & Yager, P. H. (2021) · Applied Clinical Informatics · doi:10.1055/s-0041-1731340 · Cited by 8
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Pajunen, T., Lehtonen, L., Saranto, K., & Palojoki, S. (2016) · Methods of Information in Medicine · doi:10.3414/me16-01-0097 · Cited by 8
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Chen, L., Qi, M., Kang, H., Vogelsmeier, A., Hilmas, T., Wang, J., & Gong, Y. (2019) · Studies in health technology and informatics · doi:10.3233/shti190371 · Cited by 10
Large language models in healthcare and biomedical informatics: A comprehensive review
Hornback, A. M., Sathu, H., Kim, K., Wang, Y., Zhu, Y., Isgut, M., Avula, P., Khimani, A., & Wang, M. D. (2026) · Innovation and Emerging Technologies · doi:10.1142/s2737599426300011 · Cited by 8
A Quantitative Method for Assessment of Prescribing Patterns Using Electronic Health Records
Yoon, D., Park, I., Schuemie, M. J., Park, M. Y., Kim, J. H., & Park, R. W. (2013) · PLoS ONE · doi:10.1371/journal.pone.0075214 · Cited by 7
Assessing clinical discharge data preferences among practicing surgeons
Leeds, I. L., Sadiraj, V., Cox, J. C., Schnier, K. E., & Sweeney, J. F. (2013) · Journal of Surgical Research · doi:10.1016/j.jss.2013.03.064 · Cited by 7
Health Information Technology Policy
Rudin, R. S., Tang, P. C., & Bates, D. W. (2013) · Springer eBooks · doi:10.1007/978-1-4471-4474-8_27 · Cited by 7
Obaid, L. M., Ali, I., Baker, A. S. A., Abdallah, W. O. A. S., Plando, R., Khawaldeh, M. E., & Panaligan, R. K. J. (2023) · BMJ Open Quality · doi:10.1136/bmjoq-2022-002063 · Cited by 6
Can emergency department provider notes help to achieve more dynamic clinical decision support?
Rousseau, J. F., Ip, I. K., Raja, A. S., Schuur, J. D., & Khorasani, R. (2020) · Journal of the American College of Emergency Physicians Open · doi:10.1002/emp2.12232 · Cited by 6
Enter and Discuss Orders and Prescriptions (EPA 4): A Curriculum for Fourth-Year Medical Students
Liao, N. N., Leung, C. G., Barbee, J., Gonzales, G., Schaffernocker, T., Kman, N., Curren, C., & Lewis, K. (2022) · MedEdPORTAL · doi:10.15766/mep_2374-8265.11263 · Cited by 6
Development and Field Testing of a Self-Assessment Guide for Computer-Based Provider Order Entry
Vartian, C. V., Singh, H., Russo, E. M., & Sittig, D. F. (2014) · Journal of Healthcare Management · doi:10.1097/00115514-201409000-00007 · Cited by 6
Self-citationGuidelines for Health IT Addressing the Quality of Data in EHR Information Systems
Badr, N. G. (2019) · International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC) · doi:10.5220/0006941001690181 · Cited by 6
Shawaqfeh, M. S., Alangari, D., Aldamegh, G., Almotairi, J., Orayer, L. B., Albekairy, N. A., Abdel-Razaq, W. S., Mardawi, G. H. A., Almuqbil, F., Aldebasi, T. M., et al. (2023) · Saudi Pharmaceutical Journal · doi:10.1016/j.jsps.2023.101789 · Cited by 5
Achangwa, N. R., Nierobisch, N., Ludovichetti, R., de Figueiredo, G. N., Kupka, M., Vere-Tyndall, A. D., Frauenfelder, T., Kulcsár, Z., & Hainc, N. (2024) · Current Problems in Diagnostic Radiology · doi:10.1067/j.cpradiol.2024.01.004 · Cited by 5
Evolution of the Health Record as a Communication Tool to Support Patient Safety
Kemp, T., Butler-Henderson, K. A., Allen, P., & Ayton, J. E. (2020) · Advances in library and information science (ALIS) book series · doi:10.4018/978-1-7998-6618-3.ch008 · Cited by 5
Librarian Consults Through Epic: New Opportunities for Collaboration and Education
Hansen, J. (2019) · Medical Reference Services Quarterly · doi:10.1080/02763869.2019.1623610 · Cited by 5
From emergence to recoverability: a sociotechnical control trajectory theory of HIT-related risk
Jabin, M. S. R. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2026.1811981 · Cited by 4
Soleimani, J., Marquez, A., Fathma, S., Weister, T. J., & Barwise, A. K. (2022) · SAGE Open Medicine · doi:10.1177/20503121221098146 · Cited by 4
Bozzetti, M., Marcomini, I., Parma, M., Dordoni, E., Magna, E., Müller‐Staub, M., & Pendoni, R. (2024) · International Journal of Nursing Knowledge · doi:10.1111/2047-3095.12504 · Cited by 4
Guo, S., Chen, Y., Kuang, Y., Zhang, Q., Wu, Y., Xie, Z., Chen, Z., He, Q., Ding, F., Liu, G., et al. (2025) · Medical Physics · doi:10.1002/mp.70038 · Cited by 4
Medical information technologies can increase quality and reduce costs
Burgos, S. (2013) · Clinics · doi:10.6061/clinics/2013(03)le04 · Cited by 4
Sowan, A. K., Leibas, M., Tarriela, A., & Reed, C. C. (2018) · JMIR Human Factors · doi:10.2196/11846 · Cited by 4
Challenges and Future Directions: From Panacea to Realisation
Charalambous, A. (2020) · Springer eBooks · doi:10.1007/978-3-030-60697-8_11 · Cited by 4
Bonomi, S., Badr, N. G., Zardini, A., & Rossignoli, C. (2016) · Lecture notes in business information processing · doi:10.1007/978-3-319-32689-4_48 · Cited by 5
Medford-Davis, L. N., Yang, K. L., Pasalar, S., Pillow, M. T., Miertschin, N., Peacock, W. F., Giordano, T. P., & Hoxhaj, S. (2016) · AIDS Care · doi:10.1080/09540121.2015.1127319 · Cited by 4
Effective implementation of electronic medical records and health information technologies.
Khatri, N. (2015) · Europe PMC (PubMed Central) · Cited by 4
Diabetes Management and Culturally Sensitive Care: An Approach to Care for Bangladeshi Patients
Haque, M. Z., Ahmed, F., Khan, S., Muntakim, M., Khan, H. J., Azam, M., & Husain, M. (2023) · Clinical Medicine Insights Endocrinology and Diabetes · doi:10.1177/11795514231210139 · Cited by 3
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Benavides, C. O. (2016) · Acta Colombiana de Cuidado Intensivo · doi:10.1016/j.acci.2016.07.006 · Cited by 3
Fraccaro, P., Brown, B. C., Prosperi, M., Sperrin, M., Buchan, I. E., & Peek, N. B. (2015) · PubMed · Cited by 3
Alomary, S., Alasmari, F., Aljarallah, M., Alluhidan, L., Maswadi, E., & AlMajed, H. (2016) · International Journal of Advanced Research · doi:10.21474/ijar01/2569 · Cited by 3
Approaching the Design of an Information Display to Support Critical Care
Reese, T. J., Kawamoto, K., Fiol, G. D., Weir, C. R., Tonna, J. E., Segall, N., Nesbitt, P., Waller, R. G., Borbolla, D. A., Moretti, E., et al. (2017) · IEEE International Conference on Healthcare Informatics (ICHI) · doi:10.1109/ichi.2017.64 · Cited by 3
Drug induced diseases (DID): Need for more awareness & research
Adithan, C., & Selvarajan, S. (2015) · The Indian Journal of Medical Research · doi:10.4103/0971-5916.162086 · Cited by 2
Web Healthcare Applications in Poland
Sołtysik-Piorunkiewicz, A., Furmankiewicz, M., & Ziuziański, P. (2018) · IGI Global eBooks · doi:10.4018/978-1-5225-6198-9.ch018 · Cited by 2
Maldonado, S., Lyons, N. B., Lall, J. S., Zimmerle, J. S., Rosamond, B., Mills, A., Seo, Y. A., Rodriguez, A. C., Coelho, R., Cavagnaro, N., et al. (2024) · Annals of Surgery Open · doi:10.1097/as9.0000000000000425 · Cited by 2
Blockchain-Based Applications in Neurological Surgery
Mohamed, A. A., Flynn, G., & Lucke-Wold, B. P. (2024) · World Neurosurgery · doi:10.1016/j.wneu.2024.08.086 · Cited by 3
Graph theoretic visualization of patient and health worker messaging in the EHR
Haq, M. Z. U., Hornback, A. M., Harzand, A., Gutman, D. A., Gallaher, B., Schoenberg, E. D., Zhu, Y., Wang, M. D., & Anderson, B. (2024) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2024.1422208 · Cited by 2
Evaluating the integrated health system (SIB) from the users’ perspectives
Rahimloo, L., Ebrahimi, K., Mehrtak, M., Mohammadnia, A., & Afshar, H. L. (2024) · Journal of Health Administration · doi:10.61186/jha.27.2.74 · Cited by 2
Implementation and Transition to Operations
Longhurst, C., & Sharp, C. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-420217-7.00007-9 · Cited by 2
Results of implementation of integrated electronic health record contrast allergy decision support
Lee, J., Baughman, C., & Ferguson, R. (2014) · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · doi:10.1109/bhi.2014.6864323 · Cited by 2
Campos, F., Luna, D. R., Sittig, D. F., & Fernán, G. B. D. Q. (2015) · Studies in health technology and informatics · doi:10.3233/978-1-61499-564-7-173 · Cited by 2
Self-citationAn Overview of HIT-Related Errors
Magrabi, F., Ong, M., & Coiera, E. W. (2016) · Springer eBooks · doi:10.1007/978-3-319-31123-4_2 · Cited by 2
Web Healthcare Applications in Poland
Sołtysik-Piorunkiewicz, A., Furmankiewicz, M., & Ziuziański, P. (2015) · Advances in multimedia and interactive technologies book series · doi:10.4018/978-1-4666-8659-5.ch013 · Cited by 2
Metrics for Electronic-Nursing-Record-Based Narratives: cross-sectional analysis
Kim, K., Jeong, S., Lee, K., Park, H., Min, Y. H., Lee, J., Kim, Y., Yoo, S., Doh, G., & Ahn, S. (2016) · Applied Clinical Informatics · doi:10.4338/aci-2016-07-ra-0119 · Cited by 2
A REVIEW OF INFORMATION SECURITY POLICIES AND PROCEDURES FOR HEALTHCARE SERVICES.
Kissi, J., Dai, B., Owusu‐Marfo, J., Bediako, I. A., Antwi, M. O., & Akey, B. C. A. (2018) · Canadian Journal of Applied Science and Technology - Canadian Journal of Applied Science and Technology · Cited by 2
Dmytryk, L. F., & DeAngelis, T. M. (2017) · The Open Journal of Occupational Therapy · doi:10.15453/2168-6408.1311 · Cited by 2
Enrichment of SNOMED CT Ophthalmology Component to Support EHR Coding
Liu, H., Hildebrand, P. L., Perl, Y., & Geller, J. (2018) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm.2018.8621272 · Cited by 2
Conte, J. G., Chen, A., Cahill, T. F., Zhang, N. J., Battaglia, F., & Ong, K. R. (2019) · International Journal of Computational Medicine and Healthcare · doi:10.1504/ijcmh.2019.104366 · Cited by 2
Origins of Diagnostic Error—Reply
Singh, H., & Thomas, E. J. (2013) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2013.9717 · Cited by 2
Self-citationCastro, G. M. (2014) · ProQuest Demo Repository · Cited by 2
Future Directions in Chronic Illness Care
Ratner, S. P., & DeWalt, D. A. (2018) · Springer eBooks · doi:10.1007/978-3-319-71812-5_45 · Cited by 1
Khairat, S., Morelli, J., Boynton, M. H., Bice, T. J., Gold, J. A., & Carson, S. S. (2025) · JMIR Research Protocols · doi:10.2196/74247 · Cited by 1
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Salyer, P. D. (2014) · Journal of Nursing Education and Practice · doi:10.5430/jnep.v4n6p13 · Cited by 1
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Fareed, N. (2013) · VCU Scholars Compass (Virginia Commonwealth University) · doi:10.25772/h7s5-5b04 · Cited by 1
Clarke, A. (2015) · White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York) · Cited by 1
Modelling digital and value flows in e-health
Felix, L. S. (2017) · doi:10.32657/10356/69633 · Cited by 1
Jayaraman, S., Kumar, A. R., Palm, E., Fernando, M., Sarabu, C. R., Choma, M. A., Wang, K., Ravi, V., Suarez, M., McCaffrey, P., et al. (2026) · doi:10.2196/preprints.105596 · Cited by 1
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Saleem, J. J., Frankel, R. M., Doebbeling, B. N., & Patterson, E. S. (2014) · Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care · doi:10.1177/2327857914031022
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Hogan, K. J. (2014) · Springer eBooks · doi:10.1007/978-1-4471-4369-7_26
Myers, R. B., Jones, S. L., Sittig, D. F., Meeks, D. W., Takian, A., Singh, H., Barber, N., Smith, M. W., Taylor, L., & Scott, J. (2015) · Apple Academic Press eBooks · doi:10.1201/b18371-3
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Sittig, D. F., Singh, H., Menon, S., Meyer, A. N. D., & Belmont, E. (2015) · Apple Academic Press eBooks · doi:10.1201/b18371-2
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dos Reis, N. B. C. (2018) · doi:10.11606/d.22.2018.tde-29112017-194112
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Callahan, K. P. (2014) · doi:10.21007/chp.hiim.0037
Mobin, N. S. M., Yatin, S. F. M., Kadir, M. R. A., Tobi, S. N. M., Mahathir, N. A., Norolazmi, N., & Harun, Z. I. (2018) · International Journal of Engineering & Technology · doi:10.14419/ijet.v7i3.7.16386
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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
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