The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Use of Electronic Health Records in U.S. Hospitals
Open accessAbstract
BACKGROUND: Despite a consensus that the use of health information technology should lead to more efficient, safer, and higher-quality care, there are no reliable estimates of the prevalence of adoption of electronic health records in U.S. hospitals. METHODS: We surveyed all acute care hospitals that are members of the American Hospital Association for the presence of specific electronic-record functionalities. Using a definition of electronic health records based on expert consensus, we determined the proportion of hospitals that had such systems in their clinical areas. We also examined the relationship of adoption of electronic health records to specific hospital characteristics and factors that were reported to be barriers to or facilitators of adoption. RESULTS: On the basis of responses from 63.1% of hospitals surveyed, only 1.5% of U.S. hospitals have a comprehensive electronic-records system (i.e., present in all clinical units), and an additional 7.6% have a basic system (i.e., present in at least one clinical unit). Computerized provider-order entry for medications has been implemented in only 17% of hospitals. Larger hospitals, those located in urban areas, and teaching hospitals were more likely to have electronic-records systems. Respondents cited capital requirements and high maintenance costs as the primary barriers to implementation, although hospitals with electronic-records systems were less likely to cite these barriers than hospitals without such systems. CONCLUSIONS: The very low levels of adoption of electronic health records in U.S. hospitals suggest that policymakers face substantial obstacles to the achievement of health care performance goals that depend on health information technology. A policy strategy focused on financial support, interoperability, and training of technical support staff may be necessary to spur adoption of electronic-records systems in U.S. hospitals.
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.
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
The quality of health care delivered to adults in the United States
McGlynn, E. A., Asch, S. M., Adams, J., Keesey, J., Hicks, J., DeCristofaro, A., & Kerr, E. A. (2003) · New England Journal of Medicine · doi:10.1056/nejmsa022615 · Cited by 5,079
Chaudhry, B., Wang, J., Wu, S., Maglione, M., Mojica, W., Roth, E., Morton, S. C., & Shekelle, P. G. (2006) · Annals of Internal Medicine · doi:10.7326/0003-4819-144-10-200605160-00125 · Cited by 3,159
Electronic health records in ambulatory care—a national survey of physicians
DesRoches, C. M., Campbell, E. G., Rao, S. R., Donelan, K., Ferris, T. G., Jha, A., Kaushal, R., Levy, D. E., Rosenbaum, S., Shields, A. E., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmsa0802005 · Cited by 1,111
Self-citationEffect of the Transformation of the Veterans Affairs Health Care System on the Quality of Care
Jha, A. K., Perlin, J. B., Kizer, K. W., & Dudley, R. A. (2003) · New England Journal of Medicine · doi:10.1056/nejmsa021899 · Cited by 643
Self-citationCare in U.S. Hospitals — The Hospital Quality Alliance Program
Jha, A. K., Li, Z., Orav, E. J., & Epstein, A. M. (2005) · New England Journal of Medicine · doi:10.1056/nejmsa051249 · Cited by 483
Self-citationThe use of health information technology in seven nations
Jha, A. K., Doolan, D., Grandt, D., Scott, T., & Bates, D. W. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2008.06.007 · Cited by 420
Self-citationInformation Technology Comes to Medicine
Blumenthal, D., & GLASER, J. P. (2007) · New England Journal of Medicine · doi:10.1056/nejmhpr066212 · Cited by 358
Self-citationSchoen, C., Osborn, R., Huynh, P. T., Doty, M. M., Peugh, J., & Zapert, K. (2006) · Health Affairs · doi:10.1377/hlthaff.25.w555 · Cited by 331
Jha, A. K., Ferris, T. G., Donelan, K., DesRoches, C., Shields, A., Rosenbaum, S., & Blumenthal, D. (2006) · Health Affairs · doi:10.1377/hlthaff.25.w496 · Cited by 304
Self-citationComputerized Physician Order Entry in U.S. Hospitals: Results of a 2002 Survey
Ash, J. S. (2003) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1427 · Cited by 294
Flagged first, then by citations
Cited by
Sorted by citations
Items 401–500 of 1,001
Malik, M., Kazi, A. F., & Hussain, A. R. (2021) · PLoS ONE · doi:10.1371/journal.pone.0258081 · Cited by 28
Design and Development of EMR Supporting Medical Process Management
Li, J., Xiao-guang, Z., Chu, J., Suzuki, M., & Araki, K. (2010) · Journal of Medical Systems · doi:10.1007/s10916-010-9581-1 · Cited by 28
Or, C. K., Wong, K., Tong, E. L. H., & Sek, A. C. H. (2014) · Work · doi:10.3233/wor-131808 · Cited by 28
Making sense of health information technology implementation: A qualitative study protocol
Kitzmiller, R. R., Anderson, R. A., & McDaniel, R. R. (2010) · Implementation Science · doi:10.1186/1748-5908-5-95 · Cited by 30
Elliott, A. F., Davidson, A. J., Lum, F., Chiang, M. F., SAADDINE, J. B., Zhang, X., Crews, J. E., & Chou, C. (2012) · American Journal of Ophthalmology · doi:10.1016/j.ajo.2011.10.002 · Cited by 29
Kaptain, K., Ulsøe, M., & Dreyer, P. (2019) · Journal of Clinical Nursing · doi:10.1111/jocn.14817 · Cited by 28
Castro, V. M., Apperson, W. K., Gainer, V. S., Ananthakrishnan, A. N., Goodson, A. P., Wang, T. D., Herrick, C. D., & Murphy, S. N. (2014) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2014.08.012 · Cited by 28
Zhan, Z., Zhou, S., Li, M., & Zhang, R. (2025) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaf002 · Cited by 30
Horwitz, L. I., Wang, Y., Desai, M. M., Curry, L. A., Bradley, E. H., Drye, E. E., & Krumholz, H. M. (2012) · Journal of Hospital Medicine · doi:10.1002/jhm.1965 · Cited by 27
Park, Y., Kim, Y. S., Yi, B.-K., & Kim, S. M. (2019) · Healthcare Informatics Research · doi:10.4258/hir.2019.25.2.115 · Cited by 27
Digital health in oncology in Africa: A scoping review and cross-sectional survey
Kabukye, J. K., Kakungulu, E., de Keizer, N. F., & Ronald Cornet, A. (2021) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2021.104659 · Cited by 27
Electronic Health Record Data in Cancer Learning Health Systems: Challenges and Opportunities
Post, A. R., Burningham, Z. R., & Halwani, A. S. (2022) · JCO Clinical Cancer Informatics · doi:10.1200/cci.21.00158 · Cited by 29
Patent Trolls and Technology DiffusionPreprint
Tucker, C. E. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2136955 · Cited by 27
Akther, J. (2026) · American Journal of Interdisciplinary Studies · doi:10.63125/3p24ma43 · Cited by 26
Al-Jafar, E. (2013) · Europe PMC (PubMed Central) · Cited by 26
Computer Literacy of Nurses in a Community Hospital: Where Are We Today?
Campbell, C. J., & McDowell, D. (2011) · The Journal of Continuing Education in Nursing · doi:10.3928/00220124-20110215-01 · Cited by 27
Health Information Technology Adoption in the Emergency Department
Selck, F. W., & Decker, S. L. (2015) · Health Services Research · doi:10.1111/1475-6773.12307 · Cited by 26
Wagner, T. H., Sinnott, P. L., & Siroka, A. M. (2011) · Psychiatric Services · doi:10.1176/ps.62.4.pss6204_0389 · Cited by 26
Syed, S., Ashwick, R., Schlosser, M., González-Izquierdo, A., Li, L., & Gilbert, R. E. (2020) · Archives of Disease in Childhood · doi:10.1136/archdischild-2020-319027 · Cited by 26
Ding, X. D., & Peng, X. (2020) · Decision Sciences · doi:10.1111/deci.12485 · Cited by 26
Health information exchange, Health Information Technology use, and hospital readmission rates.
Jones, S. S., Friedberg, M. W., & Schneider, E. C. (2011) · PubMed Central · Cited by 26
Secondary Uses of Electronic Health Record Data: Benefits and Barriers
Sandhu, E., Weinstein, S., McKethan, A., & JAIN, S. H. (2012) · The Joint Commission Journal on Quality and Patient Safety · doi:10.1016/s1553-7250(12)38005-7 · Cited by 29
Using electronic health records to save money
Bar‐Dayan, Y., Saed, H., Boaz, M., Misch, Y., Shahar, T., Husiascky, I., & Blumenfeld, O. (2013) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-001504 · Cited by 26
The pros and cons of electronic prescribing for children
Caldwell, N. A., & Power, B. (2011) · Archives of Disease in Childhood · doi:10.1136/adc.2010.204446 · Cited by 26
Enhancing Electronic Health Record Usability in Pediatric Patient Care: A Scenario-Based Approach
Patterson, E. S., Zhang, J., Abbott, P. A., Gibbons, M. C., Lowry, S. Z., Quinn, M. T., Ramaiah, M., & Brick, D. (2013) · The Joint Commission Journal on Quality and Patient Safety · doi:10.1016/s1553-7250(13)39019-9 · Cited by 26
Steinhauser, S. (2019) · Schmalenbach Business Review · doi:10.1007/s41464-019-00076-9 · Cited by 26
Adler‐Milstein, J., Raphael, K., Bonner, A., Pelton, L. J., & Fulmer, T. T. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa129 · Cited by 26
Bridging hospital quality leadership to patient care quality
Chakraborty, S., Kaynak, H., & Pagán, J. A. (2020) · International Journal of Production Economics · doi:10.1016/j.ijpe.2020.108010 · Cited by 26
The impact of health information technology on disparity of process of care
Lee, J. (2015) · International Journal for Equity in Health · doi:10.1186/s12939-015-0161-3 · Cited by 26
Chen, M. M., & Esmaeilzadeh, P. (2023) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2023.105156 · Cited by 25
Timilsina, M., Buosi, S., Razzaq, M. A., Haque, R., Judge, C. S., & Curry, E. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.109925 · Cited by 27
Vanek, V. W., Ayers, P., Charney, P., Kraft, M. D., Mitchell, R., Plogsted, S. W., Soden, J. S., Way, C. W. V., Wessel, J., Winter, J., et al. (2016) · Nutrition in Clinical Practice · doi:10.1177/0884533616629619 · Cited by 25
Upadhyay, S., Weech-Maldonado, R. J., Lemak, C. H., Stephenson, A. L., Mehta, T. S., & Smith, D. G. (2018) · Health Care Management Review · doi:10.1097/hmr.0000000000000217 · Cited by 27
Alhur, A. (2023) · Indonesian Journal of Information Systems · doi:10.24002/ijis.v5i2.6833 · Cited by 25
Jackson, G. L., Krein, S. L., Alverson, D. C., Darkins, A. W., Gunnar, W., Harada, N. D., Helfrich, C. D., Houston, T. K., Klobucar, T. F., Nazi, K. M., et al. (2011) · Journal of General Internal Medicine · doi:10.1007/s11606-011-1789-3 · Cited by 26
Dennehy, P., White, M., Hamilton, A., Pohl, J. M., Tanner, C. L., Onifade, T. J. M., & Zheng, K. (2011) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000117 · Cited by 26
Couralet, M., Leleu, H., Capuano, F., Marcotte, L. M., Nitenberg, G., Sicotte, C., & Minvielle, É. (2012) · BMJ Quality & Safety · doi:10.1136/bmjqs-2012-001170 · Cited by 25
Impact of electronic medical records (EMRs) on hospital productivity in Japan
Kaneko, K., Onozuka, D., Shibuta, H., & Hagihara, A. (2018) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2018.07.008 · Cited by 25
Alsalman, D., Alumran, A. K., Al-Rayes, S., Althumairi, A., Al-Mubarak, S., Alrawiai, S., Alakrawi, Z., Hariri, B., & Alanzi, T. M. (2020) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2020.100499 · Cited by 25
Liebe, J., Hüsers, J., & Hübner, U. (2015) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-016-0244-0 · Cited by 25
Selvaraj, S., Fonarow, G. C., Sheng, S., Matsouaka, R., DeVore, A. D., Heidenreich, P. A., Hernandez, A. F., Yancy, C. W., & Bhatt, D. L. (2018) · Journal of the American Heart Association · doi:10.1161/jaha.117.008158 · Cited by 25
Kochendorfer, K. M., Morris, L., Kruse, R. L., Ge, B. G., & Mehr, D. R. (2010) · PubMed · Cited by 25
Identifying and mitigating algorithmic bias in the safety net
Mackin, S., Major, V. J., Chunara, R., & Newton-Dame, R. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01732-w · Cited by 24
Hospital Characteristics Associated With Achievement of Meaningful Use
Diana, M. L., Harle, C. A., Huerta, T. R., Ford, E. W., & Menachemi, N. (2014) · Journal of Healthcare Management · doi:10.1097/00115514-201407000-00007 · Cited by 24
Seth, A., Azamela, J. C., Amoako, R., & Stephen, S. A.-Y. (2019) · American journal of public health research · doi:10.12691/ajphr-7-1-4 · Cited by 24
Daniali, M., Galer, P. D., Lewis‐Smith, D., Parthasarathy, S., Kim, E., Salvucci, D. D., Miller, J. M., Haag, S., & Helbig, I. (2022) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2023.102523 · Cited by 24
Good practices for clinical data warehouse implementation: A case study in France
Doutreligne, M., Degrémont, A., Jachiet, P.-A., Lamer, A., & Tannier, X. (2023) · PLOS Digital Health · doi:10.1371/journal.pdig.0000298 · Cited by 24
Alternative measures of electronic health record adoption among hospitals.
Blavin, F. E., Buntin, M. J. B., & Friedman, C. P. (2010) · PubMed · Cited by 24
Minnesota Nurses' Perceptions of Nursing Diagnoses
Halverson, E. L., Beetcher, E. L., Scherb, C. A., Olsen, G., Frost, M. H., & Orth, K. (2011) · International Journal of Nursing Terminologies and Classifications · doi:10.1111/j.1744-618x.2011.01180.x · Cited by 24
Challenges that limit meaningful use of health information technology
Kadry, B., Sanderson, I. C., & Macario, A. (2010) · Current Opinion in Anaesthesiology · doi:10.1097/aco.0b013e328336ea0e · Cited by 24
Can Social Cognitive Theories Help Us Understand Nurses’ Use of Electronic Health Records?
Strudwick, G., Booth, R. G., & Mistry, K. (2016) · CIN Computers Informatics Nursing · doi:10.1097/cin.0000000000000226 · Cited by 27
Ronquillo, J. G., Baer, M. R., & Lester, W. T. (2016) · Journal of Women & Aging · doi:10.1080/08952841.2015.1018038 · Cited by 24
The Importance of the Medical Record: A Critical Professional Responsibility.
Ngo, E., Patel, N. J., Chandrasekaran, K., Tajik, A. J., & Paterick, T. E. (2016) · PubMed · Cited by 24
An Integrated Lean Supply Chain Framework for U.S. Hospitals
Chakraborty, S., & González, J. A. (2018) · Operations and Supply Chain Management An International Journal · doi:10.31387/oscm0310206 · Cited by 24
Spending and mortality in US acute care hospitals.
Romley, J. A., Jena, A. B., O’Leary, J. F., & Goldman, D. P. (2013) · PubMed · Cited by 24
Makai, P., Perry, M., Robben, S. H., Schers, H., Heinen, M. M., Rikkert, M. G. M. O., & Melis, R. J. F. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3609 · Cited by 27
Implementing electronic medical records in a psychiatric hospital: A qualitative study
Boyer, L., Samuelian, J., Fieschi, M., & Lançon, C. (2010) · International Journal of Psychiatry in Clinical Practice · doi:10.3109/13651501003717243 · Cited by 24
Chan, T. C., Griswold, W. G., Buono, C. J., Kirsh, D., Lyon, J., Killeen, J. P., Castillo, E. M., & Lenert, L. A. (2011) · Prehospital and Disaster Medicine · doi:10.1017/s1049023x11006480 · Cited by 24
Making Electronic Health Records Meaningful
Wilson, J. F. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-4-200908180-00026 · Cited by 24
Khalate, P., Gite, S., Pradhan, B., & Lee, C.-W. (2024) · Frontiers in Physics · doi:10.3389/fphy.2024.1445204 · Cited by 23
Muhammad, I., Teoh, S. Y., & Wickramasinghe, N. S. (2012) · International Journal of Actor-Network Theory and Technological Innovation · doi:10.4018/jantti.2012040105 · Cited by 24
Predictors of success for electronic health record implementation in small physician practices
Singh, M., Thomas, R., Edwards, A. M., Snyder, A., Kashyap, A., Kaushal, R., & Ancker, J. S. (2013) · Applied Clinical Informatics · doi:10.4338/aci-2012-09-ra-0033 · Cited by 26
Krasowski, M. D., Schriever, A., Mathur, G., Blau, J., Stauffer, S. L., & Ford, B. A. (2015) · Journal of Pathology Informatics · doi:10.4103/2153-3539.161615 · Cited by 23
The impact of electronic health record usage on cancer registry systems in Alabama.
Houser, S. H., Colquitt, S., Clements, K., & Hart‐Hester, S. (2012) · PubMed Central · Cited by 23
Elkassabany, N. M., Speck, R. M., Oslin, D. W., Hawn, M. T., Chaichana, K., Sum-Ping, J., Sepulveda, J. L., Whitley, M., & Sakawi, Y. (2013) · Anesthesiology Research and Practice · doi:10.1155/2013/149892 · Cited by 23
Jones, S. S., Heaton, P., Friedberg, M. W., & Schneider, E. C. (2011) · Health Affairs · doi:10.1377/hlthaff.2011.0245 · Cited by 24
McCoy, A. B., Wright, A. T., & Sittig, D. F. (2015) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocv073 · Cited by 26
What Strategies Do US Hospitals Employ to Reduce Unwarranted Clinical Practice Variations?
Gauld, R. D. C., Horwitt, J. N., Williams, S., & COHEN, A. B. (2010) · American Journal of Medical Quality · doi:10.1177/1062860610375107 · Cited by 23
Overview of Data Security Issues in Hospital Information Systems
Malaysia, U. T., Masrom, M. B., Rahimli, A., & Malaysia, U. T. (2015) · Pacific Asia journal of the Association for Information Systems · doi:10.17705/1pais.07404 · Cited by 23
Is Healthcare Information Technology Based on Evidence?
Koppel, R. (2013) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638826 · Cited by 23
Prediction of the healthcare resource utilization using multi-output regression models
Cui, L., Xie, X., Shen, Z. M., Lü, R., & Wang, H. (2018) · IISE Transactions on Healthcare Systems Engineering · doi:10.1080/24725579.2018.1512537 · Cited by 23
The need to collect, aggregate, and analyze global anesthesia and surgery data
Juran, S., Gruendl, M., Marks, I. H., Broer, P. N., Guzman, J. M., Davies, J. I., Shrime, M. G., Johnson, W. D., Holmer, H., Peck, G., et al. (2018) · Canadian Journal of Anesthesia/Journal canadien d anesthésie · doi:10.1007/s12630-018-1261-5 · Cited by 23
Opt-in consent policies: potential barriers to hospital health information exchange
Apathy, N. (2020) · The American Journal of Managed Care · doi:10.37765/ajmc.2020.42148 · Cited by 23
Enabling counterfactual survival analysis with balanced representations
Chapfuwa, P., Assaad, S., Zeng, S., Pencina, M. J., Carin, L., & Henao, R. (2021) · ACM Conference on Health, Inference, and Learning (CHIL) · doi:10.1145/3450439.3451875 · Cited by 23
Myers, J. S., Gojraty, S., Yang, W. P., Linsky, A. M., Airan‐Javia, S., & Polomano, R. C. (2010) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2010.006130 · Cited by 23
Ballermann, M. A., Shaw, N. T., Arbeau, K. J., Mayes, D. C., & Gibney, R. T. N. (2010) · PubMed · Cited by 23
van Houwelingen, T., Meeuse, A. C. M., & Kort, H. S. M. (2023) · International Journal of Nursing Studies Advances · doi:10.1016/j.ijnsa.2023.100170 · Cited by 22
Beyond the threshold: real-time use of evidence in practice
Jones, J. B., Stewart, W. F., Darer, J. D., & Sittig, D. F. (2013) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-13-47 · Cited by 22
Yuan, H., Xie, F., Ong, M. E. H., Ning, Y., Chee, M. L., Saffari, S. E., Abdullah, H. R., Goldstein, B. A., Chakraborty, B., & Liu, N. (2022) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2022.104072 · Cited by 23
Schultz, C. L., McCahan, S. M., Lewis, A. M., Bunnell, H. T., & Alderfer, M. A. (2021) · Pediatric Blood & Cancer · doi:10.1002/pbc.29373 · Cited by 22
Liu, Z., Zhang, J., Hou, Y., Zhang, X., Li, G., & Xiang, Y. (2023) · Communications in computer and information science · doi:10.1007/978-981-19-9865-2_10 · Cited by 26
Hospital Financial Position and the Adoption of Electronic Health Records
Ginn, G. O., Shen, J. J., & Moseley, C. B. (2011) · Journal of Healthcare Management · doi:10.1097/00115514-201109000-00009 · Cited by 22
Making Health Information Technology Sing for People with Chronic Conditions
Gruman, J. C. (2011) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2011.02.003 · Cited by 22
The Reliability of Patient-Reported Pregnancy Outcome Data
Elliott, J. P., Desch, C. N., Istwan, N. B., Rhea, D., Collins, A. M., & Stanziano, G. J. (2010) · Population Health Management · doi:10.1089/pop.2009.0008 · Cited by 22
Wakefield, D. S., Ward, M. M., Loes, J. L., & O'Brien, J. R. (2010) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2010.004267 · Cited by 22
Lack of Impact of Electronic Health Records on Quality of Care and Outcomes for Ischemic Stroke
Joynt, K. E., Bhatt, D. L., Schwamm, L. H., Xian, Y., Heidenreich, P. A., Fonarow, G. C., Smith, E. E., Neely, M. L., Grau‐Sepulveda, M. V., & Hernandez, A. F. (2015) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2015.02.059 · Cited by 22
Critical Issues in EHR Implementation: Provider and Vendor Perspectives
Palvia, P., Jacks, T., & Brown, W. S. (2015) · Communications of the Association for Information Systems · doi:10.17705/1cais.03636 · Cited by 22
Kohane, I. S. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.05.024 · Cited by 21
Walker, D. M., Mora, A. M., Demosthenidy, M. M., Menachemi, N., & Diana, M. L. (2016) · Health Affairs · doi:10.1377/hlthaff.2015.0924 · Cited by 24
Uwambaye, P., Njunwa, K. J., Nuhu, A., Kumurenzi, A., Isyagi, M., Murererehe, J., & Ngarambe, D. (2017) · Rwanda Journal · doi:10.4314/rj.v4i1.7f · Cited by 21
Sustainability requirements for connected health applications
Ouhbi, S., Fernández‐Alemán, J. L., Toval, A., Pozo, J. R., & Idri, A. (2017) · Journal of Software Evolution and Process · doi:10.1002/smr.1922 · Cited by 21
Ahlness, E. A., Orlander, J. D., Brunner, J., Cutrona, S. L., Kim, B., Molloy-Paolillo, B. K., Rinne, S. T., Rucci, J. M., Sayre, G. G., & Anderson, E. (2023) · Journal of General Internal Medicine · doi:10.1007/s11606-023-08282-5 · Cited by 21
State of the Art in Clinical Informatics: Evidence and Examples
McCoy, A. B., Wright, A. T., Eysenbach, G., Malin, B., Patterson, E. S., Xu, H., & Sittig, D. F. (2013) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638827 · Cited by 21
Heart, T., O’Reilly, P., Sammon, D., & O’Donoghue, J. (2009) · Journal of Systems and Information Technology · doi:10.1108/13287260910983623 · Cited by 21
Approaches to Recording Drug Allergies in Electronic Health Records: Qualitative Study
Fernando, B., Morrison, Z., Kalra, D., Cresswell, K. M., & Sheikh, A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0093047 · Cited by 22
Allen‐Dicker, J., & Klompas, M. (2012) · Journal of Public Health Management and Practice · doi:10.1097/phh.0b013e31821f2d73 · Cited by 21
The Meaningful Use of EMR in Chinese Hospitals: A Case Study on Curbing Antibiotic Abuse
Li, J., Xiao-guang, Z., Wang, H., Wang, Y., Wang, J., & Shao, Q.-D. (2013) · Journal of Medical Systems · doi:10.1007/s10916-013-9937-4 · Cited by 22
Information Technologies and Patient Safety
Ellner, S. J., & Joyner, P. (2011) · Surgical Clinics of North America · doi:10.1016/j.suc.2011.11.002 · Cited by 22
Huang, Y.-H., & Gramopadhye, A. K. (2014) · Applied Ergonomics · doi:10.1016/j.apergo.2014.06.003 · Cited by 21
Hospital Electronic Medical Record Use and Cost of Inpatient Pediatric Care
Teufel, R. J., Kazley, A. S., Ebeling, M. D., & Basco, W. T. (2012) · Academic Pediatrics · doi:10.1016/j.acap.2012.06.004 · Cited by 21
Metadata
- Authors
- Jha, A. K., DesRoches, C. M., Campbell, E. G., Donelan, K., Rao, S. R., Ferris, T. G., Shields, A., Rosenbaum, S., & Blumenthal, D.
- Affiliations
- Brigham and Women's Hospital (US)
- Massachusetts General Hospital (US)
- George Washington University (US)
- ORCID
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2009-04-16
- Volume
- 360
- Issue
- 16
- Pages
- 1628-1638
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2157814042
- Cited by
- 1,473
- References
- 20
- Citations by year
- 2026: 35 · 2025: 45 · 2024: 45 · 2023: 81 · 2022: 40 · 2021: 42 · 2020: 55 · 2019: 71 · 2018: 68 · 2017: 53 · 2016: 62 · 2015: 95 · 2014: 138 · 2013: 134 · 2012: 153
- FWCI
- 358.97
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Health and Human Services
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Health Sciences › Nursing › Research and Theory › Nursing Diagnosis and Documentation
- Keywords
- electronic health records, health information technology adoption, hospitals, computerized physician order entry, barriers to adoption, hospital characteristics, teaching hospitals, health policy, interoperability
- MeSH terms
- Diffusion of Innovation, Hospital Administration, Hospital Bed Capacity, Ownership, United States, Logistic Models, Medical Records Systems, Computerized, Health Care Surveys
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