Cited by 1,473Electronic Health Records SystemsMedical Coding and Health InformationNursing Diagnosis and Documentation

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 access

Jha, Ashish K., DesRoches, Catherine M., Campbell, Eric G., Donelan, Karen, Rao, Sowmya R., Ferris, Timothy G., Shields, Alexandra, Rosenbaum, Sara, Blumenthal, David·2009·New England Journal of Medicine

DOI 10.1056/nejmsa0900592

Open this paper in CoChat — free account Open PDF

Abstract

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.

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

Crossref · 10.1056/nejmsa0900592

Cites

20 of 20 references verified0 citation errors · 0 not checkable

Statistics

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.

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
Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care
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-citation
Effect 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-citation
Care 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-citation
The 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-citation
Information Technology Comes to Medicine
Blumenthal, D., & GLASER, J. P. (2007) · New England Journal of Medicine · doi:10.1056/nejmhpr066212 · Cited by 358
Self-citation
On The Front Lines Of Care: Primary Care Doctors' Office Systems, Experiences, And Views In Seven Countries
Schoen, 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
How Common Are Electronic Health Records In The United States? A Summary Of The Evidence: About one-fourth of U.S. physician practices are now using an EHR, according to the results of high-quality surveys.
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-citation
Computerized 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

Show all 20 references

Sorted by citations

Items 701–800 of 1,001

What should WHO be doing about patient safety and technology?
Mytton, O. T., Greaves, F., Stanton, E. A. I., & Donaldson, L. J. (2010) · BMJ Quality & Safety · doi:10.1136/qshc.2010.040428 · Cited by 12
Comprehensive electronic medical record implementation levels not associated with 30-day all-cause readmissions within Medicare beneficiaries with heart failure.
Marken, P. A., Zhong, Y., Simon, S. D., Ketcherside, W. J., & Patterson, M. E. (2014) · Applied Clinical Informatics · doi:10.4338/aci-2014-01-ra-0008 · Cited by 12
Fostering Acceptance of Computerized Physician Order Entry
Muslin, I. S., Vardaman, J. M., & Cornell, P. T. (2014) · The Health Care Manager · doi:10.1097/hcm.0000000000000011 · Cited by 12
Clinical Decision Support System for Managing COPD-Related Readmission Risk
Huang, C., Goo, J., Behara, R. S., & Agarwal, A. (2018) · Information Systems Frontiers · doi:10.1007/s10796-018-9881-4 · Cited by 12
It’s Time to Wikify Clinical Documentation: How Collaborative Authorship Can Reduce the Burden and Improve the Quality of the Electronic Health Record
Warner, J. L., Smith, J. R. L., & Wright, A. T. (2019) · Academic Medicine · doi:10.1097/acm.0000000000002613 · Cited by 12
Electronic Health Record implementation in a large academic radiotherapy department: Temporarily disruptions but long-term benefits
Jacobs, M., Boersma, L. J., Swart, R., Mannens, R., Reymen, B. J. T., Körver, F., van Merode, F., & Dekker, A. L. A. J. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.07.008 · Cited by 12
Developing a Workflow Composite Score to Measure Clinical Information Logistics
Liebe, J.-D., Straede, M.-C., Thye, J., & Hübner, U. (2015) · Methods of Information in Medicine · doi:10.3414/me14-02-0025 · Cited by 12
Technical and functional standards and implementation of a clinical information system in intensive care units
Tello, V. G., Álvarez-Rodríguez, J., Reiz, A. N., Sánchez, J. Á. G., de Barbará, A. H. A., Fresneda, M. M., Valdeolmillos, P. M., Arfelis, J. M. N., Varela, I. P., & Chicharro, M. C. (2011) · Medicina Intensiva (English Edition) · doi:10.1016/j.medine.2011.12.001 · Cited by 12
Interventions to Increase Physician Efficiency and Comfort with an Electronic Health Record System
Jalota, L., Aryal, M. R., Mahmood, M., Wasser, T., & Donato, A. A. (2014) · Methods of Information in Medicine · doi:10.3414/me14-01-0047 · Cited by 12
Achieving excellence in Electronic Health Record deployment in Middle East hospitals
Altuwaijri, M. M. (2011) · International Conference on Biomedical Engineering and Informatics (BMEI) · doi:10.1109/bmei.2011.6098652 · Cited by 12
Nurses’ continuance intention to use electronic health record systems: The antecedent role of personality and organisation support
Alsyouf, A., Alsubahi, N., Alali, H., Lutfi, A., Al‐Mugheed, K., Alrawad, M., Almaiah, M. A., Anshasi, R. J., Alhazmi, F. N., & Sawhney, D. (2024) · PLoS ONE · doi:10.1371/journal.pone.0300657 · Cited by 11
Deep Learning Framework for Advanced De-Identification of Protected Health Information
Aloqaily, A. A., Abdallah, E. E., Al-Zyoud, R., Elsoud, E. A., Al-Hassan, M., & Abdallah, A. E. (2025) · Future Internet · doi:10.3390/fi17010047 · Cited by 11
Towards a Computable Data Corpus of Temporal Correlations between Drug Administration and Lab Value Changes
Newe, A., Wimmer, S. J., Neubert, A. C., Becker, L., Prokosch, H., Beckmann, M. W., Fietkau, R., Förster, C., Neurath, M. F., Schett, G. A., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0136131 · Cited by 12
Value of the Electronic Medical Record for Hospital Care: A Review of the Literature
Uslu, A., & Stausberg, J. (2011) · Journal of Healthcare Engineering · doi:10.1260/2040-2295.2.3.271 · Cited by 12
Eradication of hospital-acquired venous thromboembolism
Goldhaber, S. Z. (2010) · Thrombosis and Haemostasis · doi:10.1160/th10-05-0267 · Cited by 11
Perceptions of allied health staff of the implementation of an integrated electronic medical record across regional and metropolitan settings
Schwarz, M., Coccetti, A., Draheim, M., & Gordon, G. (2020) · Australian Health Review · doi:10.1071/ah19024 · Cited by 11
Hospital’s adoption of multiple methods of obtaining outside information and use of that information
Everson, J., & Patel, V. (2022) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocac079 · Cited by 11
An Observation of Healthcare Knowledge Management
Chen, E. T. (2014) · Communications of the IIMA · doi:10.58729/1941-6687.1222 · Cited by 11
eHealth in North America
Newsham, D., Bates, D. W., & Borycki, E. M. (2013) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638839 · Cited by 11
Payer Mix and EHR Adoption in Hospitals
Shin, D. Y., Menachemi, N., Diana, M. L., & Ford, E. W. (2012) · Journal of Healthcare Management · doi:10.1097/00115514-201211000-00011 · Cited by 11
Office Computer Systems for the Dental Office
Sam, F. E., & Bonnick, A. M. (2011) · Dental Clinics of North America · doi:10.1016/j.cden.2011.02.010 · Cited by 11
Good morning, Doctor Google
Escarrabill, J., Martí, T., & Torrente, E. (2011) · Revista Portuguesa de Pneumologia · doi:10.1016/j.rppnen.2011.06.001 · Cited by 11
Moving towards efficient, safe, and meaningful healthcare: issues for automation
Falan, S., & Han, B. T. (2011) · International Journal of Electronic Healthcare · doi:10.1504/ijeh.2011.039060 · Cited by 11
A framework for assessing patient crossover and health information exchange value
LaBorde, D. V., Griffin, J. A., Smalley, H. K., Keskinocak, P., & Mathew, G. (2011) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000140 · Cited by 11
The positive financial impact of using an Intensive Care Information System in a tertiary Intensive Care Unit
Levesque, É., Hoti, E., la Serna, S. C. D., Habbouchi, H., Ichaı̈, P., Saliba, F., Samuel, D., & Azoulay, D. (2012) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2012.11.013 · Cited by 11
Creating a Survey to Assess Physicians’ Adoption of Health Information Technology
Baier, R. R., Gardner, R. L., Buechner, J. S., Harris, Y., Viner-Brown, S. I., & Gifford, D. S. (2011) · Medical Care Research and Review · doi:10.1177/1077558711423839 · Cited by 11
Meaningful Use and Hospital Performance on Post‐Acute Utilization Indicators
Brice, Y. N., Joynt, K. E., Tompkins, C. P., & Ritter, G. A. (2017) · Health Services Research · doi:10.1111/1475-6773.12677 · Cited by 11
Promoting safety mindfulness: Recommendations for the design and use of simulation-based training in radiation therapy
Mazur, L. M., Marks, L. B., McLeod, R., Karwowski, W., Mosaly, P. R., Tracton, G. S., Adams, R., Hoyle, L., Das, S. K., & Chera, B. S. (2018) · Advances in Radiation Oncology · doi:10.1016/j.adro.2018.01.002 · Cited by 11
Utilizing big data to provide better health at lower cost
Jones, L. K., Pulk, R., Gionfriddo, M. R., Evans, M. A., & Parry, D. (2018) · American Journal of Health-System Pharmacy · doi:10.2146/ajhp170350 · Cited by 11
EHR application portfolio and hospital performance: Effects across hospitals with varying administrative scale and clinical complexity
Setia, P., Menon, N. M., & Srinivasan, S. S. (2020) · Information & Management · doi:10.1016/j.im.2020.103383 · Cited by 11
Impact of Hospital Characteristics and Governance Structure on the Adoption of Tracking Technologies for Clinical and Supply Chain Use: Longitudinal Study of US Hospitals
Zhu, X., Tao, Y., Zhu, R., Wu, D., & Ming, W. (2022) · Journal of Medical Internet Research · doi:10.2196/33742 · Cited by 11
The physical attractiveness of electronic physician notes.
Payne, T. H., Patel, R. A., Beahan, S., & Zehner, J. (2010) · PubMed Central · Cited by 11
Measurement of Colorectal Cancer Test Use With Medical Claims Data in a Safety-Net Health System
Gupta, S. N., Ahn, C. W., Skinner, C. S., Tong, L., Argenbright, K. E., Anderson, P. L., Rose, B., Carter, E., Koch, M. G., & Allison, J. A. (2012) · The American Journal of the Medical Sciences · doi:10.1097/maj.0b013e31824dd1b6 · Cited by 11
Characteristics of German Hospitals Adopting Health IT Systems – Results from an Empirical Study
Liebe, J.-D., Nicole, E., Andreas, F., & Ursula, H. U. B. (2011) · Studies in health technology and informatics · doi:10.3233/978-1-60750-806-9-335 · Cited by 11
Access to electronic health records by care setting and provider type: perceptions of cancer care providers in Ontario, Canada
Orchard, M. C., Dobrow, M., Paszat, L., Jiang, H., & Brown, P. (2009) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-9-38 · Cited by 11
Comparison of E–Mail Communication Skills Among First– and Fourth–Year Dental Students
Oakley, M., Horváth, Z., Weinberg, S. M., Bhatt, J., & Spallek, H. (2013) · Journal of Dental Education · doi:10.1002/j.0022-0337.2013.77.11.tb05617.x · Cited by 11
Electronic health records with decision support systems for sharper diagnoses: bibliometric analysis
Abdelaziz, T., & Rosa, E. M. (2024) · International Journal of Advances in Applied Sciences · doi:10.11591/ijaas.v13.i2.pp411-418 · Cited by 10
Impact of an EMR-Based Daily Patient Update Letter on Communication and Parent Engagement in a Neonatal Intensive Care Unit.
Palma, J. P., Keller, H., Godin, M., Wayman, K. I., Cohen, R. S., Rhine, W. D., & Longhurst, C. (2012) · PubMed · Cited by 10
Patient — Physician collaboration on FHIR (Fast Healthcare Interoperability Resources)
Braunstein, M. L. (2015) · International Conference on Collaboration Technologies and Systems (CTS) · doi:10.1109/cts.2015.7210457 · Cited by 10
Technological Iatrogenesis: The Manifestation of Inadequate Organizational Planning and the Integration of Health Information Technology
Palmieri, P. A., Peterson, L. T., & Corazzo, L. B. (2011) · Advances in health care management · doi:10.1108/s1474-8231(2011)0000010023 · Cited by 10
An Assessment of Health Care Information and Management Systems Society and Leapfrog Data on Computerized Provider Order Entry
Diana, M. L., Kazley, A. S., & Menachemi, N. (2011) · Health Services Research · doi:10.1111/j.1475-6773.2011.01259.x · Cited by 12
Using electronic health records to develop and validate a machine-learning tool to predict type 2 diabetes outcomes: a study protocol
Neves, A. L., Rodrigues, P. P., Mulla, A., Glampson, B., Willis, T., Darzi, A. W., & Mayer, E. K. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-046716 · Cited by 10
Pay-for-performance schemes and hospital HIT adoption
Cheng, N., Li, H., & Bang, Y. (2022) · Decision Support Systems · doi:10.1016/j.dss.2022.113868 · Cited by 10
MyPath: the roadmap to implementing patient-centred care
Urrizola, A., Brkic, A., Caraceni, A. T., Hjermstad, M. J., Lundeby, T., Ausen, D., Cervantes, A. M. R., Deliëns, L., Kurita, G. P., Latino, N. J., et al. (2025) · Academia oncology. · doi:10.20935/acadonco7566 · Cited by 10
Is the ICU staff satisfied with the computerized physician order entry? A cross-sectional survey study
Fumis, R. R. L., Costa, E. L. V., Martins, P. S., Pizzo, V. R. P., de Souza, I. A. O., & Schettino, G. D. P. P. (2014) · Revista Brasileira de Terapia Intensiva · doi:10.5935/0103-507x.20140001 · Cited by 10
Predictors affecting personal health information management skills
Kim, S., & Abner, E. L. (2015) · Informatics for Health and Social Care · doi:10.3109/17538157.2015.1008490 · Cited by 10
Meaningful Use IT reduces hospital-caused adverse drug events even at challenged hospitals
Encinosa, W. E., & Bae, J. (2014) · Healthcare · doi:10.1016/j.hjdsi.2014.07.001 · Cited by 10
Computer‐facilitated Review of Electronic Medical Records Reliably Identifies Emergency Department Interventions in Older Adults
Biese, K., Forbach, C. R., Medlin, R. P., Platts‐Mills, T. F., Scholer, M. J., McCall, B., Shofer, F. S., LaMantia, M. A., Hobgood, C., Kizer, J. S., et al. (2013) · Academic Emergency Medicine · doi:10.1111/acem.12145 · Cited by 10
Impact of an Electronic Medical Record System on Emergency Department Discharge Instructions for Patients With Hypertension
Cienki, J. J., Guerrera, A. D., Steed, N. R. E., Kubo, E. N., & Baumann, B. M. (2013) · Postgraduate Medicine · doi:10.3810/pgm.2013.09.2702 · Cited by 10
Looking to the Future: Incorporating Genomic Information into Disparities Research to Reduce Measurement Error and Selection Bias
Shields, A. E., & Crown, W. H. (2012) · Health Services Research · doi:10.1111/j.1475-6773.2012.01413.x · Cited by 10
Self-citation
Evaluating the Effectiveness of Electronic Medical Records in a Long Term Care Facility Using Process Analysis
Cherry, B., & Carpenter, K. (2011) · Journal of Healthcare Engineering · doi:10.1260/2040-2295.2.1.75 · Cited by 10
Exploring how security features affect the use of electronic health records
Hewitt, B. (2010) · International Journal of Healthcare Technology and Management · doi:10.1504/ijhtm.2010.033273 · Cited by 10
Impact of clinical decision support on receipt of antibiotic prescriptions for acute bronchitis and upper respiratory tract infection
McCullough, J. M., Zimmerman, F. J., Rodríguez, H. P., Bell, D. S., & Torrens, P. R. (2014) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2014-002648 · Cited by 10
Achieving Adherence to Evidence-Based Practices
Everson, J., Lee, S.-Y. D., & Adler‐Milstein, J. (2016) · Medical Care Research and Review · doi:10.1177/1077558715625011 · Cited by 11
Provider Use of a Novel EHR display in the Pediatric Intensive Care Unit
Holden, R., Flynn, K. E., Yang, Y., Azam, L. S., Scanlon, M. C., & Asan, O. (2016) · Applied Clinical Informatics · doi:10.4338/aci-2016-02-ra-0030 · Cited by 10
Development and delivery of an interdisciplinary course in mobile health (mHealth)
Fox, B. I., Umphress, D. A., & Hollingsworth, J. C. (2017) · Currents in Pharmacy Teaching and Learning · doi:10.1016/j.cptl.2017.03.005 · Cited by 10
Automatically detect diagnostic patterns based on clinical notes through Text Mining
Ribeiro, J., Duarte, J., Portela, F., & Santos, M. F. (2019) · Procedia Computer Science · doi:10.1016/j.procs.2019.11.027 · Cited by 10
Barriers Against Adoption of Electronic Health Record in Italy
Bonacina, S., Marceglia, S. R. F., & Pinciroli, F. (2011) · Journal of Healthcare Engineering · doi:10.1260/2040-2295.2.4.509 · Cited by 10
Going Digital
Holup, A. A., Dobbs, D., Temple, A., & Hyer, K. (2012) · Journal of Applied Gerontology · doi:10.1177/0733464812454009 · Cited by 10
Use of an Electronic Medical Record "Dotphrase" Data Template for a Prospective Head Injury Study
Offerman, S. R., Rauchwerger, A. S., Nishijima, D. K., Ballard, D. W., Chettipally, U. K., Vinson, D. R., Reed, M. E., & Holmes, J. F. (2013) · Western Journal of Emergency Medicine · doi:10.5811/westjem.2012.11.13400 · Cited by 10
Rating the digital help: electronic medical records, software providers, and physicians
Butler, R., & Johnson, W. G. (2016) · International Journal of Health Economics and Management · doi:10.1007/s10754-016-9190-8 · Cited by 10
Sensemaking through a storytelling lens
Heath, M. L., & Porter, T. H. (2019) · Qualitative Research in Organizations and Management An International Journal · doi:10.1108/qrom-05-2018-1648 · Cited by 10
Communication and documentation considerations for electronic health records
Gaffey, A. D. (2009) · Journal of Healthcare Risk Management · doi:10.1002/jhrm.20010 · Cited by 10
Preface to the Special Issue on Collaboration, Coordination, and Adaptation in Complex Sociotechnical Settings
Gorman, J. C., Cooke, N. J., & Eduardo Salas, A. (2010) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720810372386 · Cited by 10
Return to Sender
Kereiakes, D. J. (2009) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2009.05.037 · Cited by 10
Large language models for Alzheimer's disease drug discovery
Alkam, T., Tarshizi, E., & Benschoten, A. H. V. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251346890 · Cited by 9
Is Computerized Physician Order Entry Use Associated with a Decrease in Hospital Resource Utilization in Hospitals That Care for Children?
Teufel, R. J., Kazley, A. S., & Basco, W. T. (2011) · Journal of Medical Systems · doi:10.1007/s10916-011-9708-z · Cited by 9
A scoping review of complication prediction models in spinal surgery: An analysis of model development, validation and impact
Canturk, T., Czikk, D., Wai, E. K., Phan, P., Stratton, A. C., Michalowski, W., & Kingwell, S. P. (2022) · North American Spine Society Journal (NASSJ) · doi:10.1016/j.xnsj.2022.100142 · Cited by 9
Implementation of the Nationwide Electronic Health Record System in Serbia: Challenges, Lessons Learned, and Early Outcomes
Vekić, B. (2022) · Acta Clinica Croatica · doi:10.20471/acc.2022.61.03.14 · Cited by 9
AI in population health: Scaling preventive models for age-related diseases in the United States
Taiwo, K. A. (2025) · International Journal of Science and Research Archive · doi:10.30574/ijsra.2025.16.1.2015 · Cited by 9
Digital transformation in hospitals: evaluating the ROI of IT investments in health systems
-, K. S. A., Saeed, M., Roy, K. K., & Lama, K. Y. (2025) · The American Journal of Applied Sciences · doi:10.37547/tajas/volume07issue08-08 · Cited by 9
IT Governance in Acute Healthcare: A Critical Review of Current Literature
Thatcher, M. P. (2012) · Springer eBooks · doi:10.1007/978-3-642-22474-4_15 · Cited by 9
Electronic Medical Records in Long-Term Care
Phillips, K., Wheeler, C., Campbell, J., & Coustasse, A. (2010) · Journal of Hospital Marketing & Public Relations · doi:10.1080/15390942.2010.493377 · Cited by 9
Business Benefits or Incentive Maximization? Impacts of the Medicare EHR Incentive Program at Acute Care Hospitals
Mirani, R., & Harpalani, A. (2013) · ACM Transactions on Management Information Systems · doi:10.1145/2543900 · Cited by 9
Measuring agreement between decision support reminders: the cloud vs. the local expert
Dixon, B. E., Simonaitis, L., Perkins, S. M., Wright, A. T., & Middleton, B. (2014) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-14-31 · Cited by 9
Implementation and Impact of Psychiatric Electronic Medical Records in a Public Medical Center.
Xiao, A. Q., & Acosta, F. X. (2016) · PubMed Central · Cited by 9
Designing Decentralized Ledger Technology for Electronic Health Records
Dhillon, V. (2018) · Telehealth and Medicine Today · doi:10.30953/tmt.v1.77 · Cited by 9
Stand der Digitalisierung und des Technologieeinsatzes in deutschen Krankenhäusern
Hübner, U., Liebe, J.-D., Esdar, M., Hüsers, J., Rauch, J., Thye, J., & Weiß, J.-P. (2019) · Springer eBooks · doi:10.1007/978-3-662-58225-1_3 · Cited by 9
Introduction of medical genomics and clinical informatics integration for p-Health care
Tong, L., Wu, H., Wang, M. D., & Wang, G. (2022) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2022.05.002 · Cited by 9
Requirements and Barriers to Pervasive Health Adoption
Postolache, G. B., Girão, P. S., & Postolache, O. A. (2012) · Smart sensors, measurement and instrumentation · doi:10.1007/978-3-642-32538-0_15 · Cited by 9
Electronic health record adoption and use by Nebraska pharmacists.
Fuji, K. T., Gait, K. A., Siracuse, M. V., & Christoffersen, J. S. (2011) · Europe PMC (PubMed Central) · Cited by 9
From Mobile Computers to Mobile Information? A Case Study of Physicians' Mobile Information Use
Ferreira, D., Rocha, S., Santos, J., Hauser, S. E., & Martins, H. (2011) · International Conference on Communications · doi:10.1109/icc.2011.5962442 · Cited by 9
Methodological Considerations in Observational Comparative Effectiveness Research for Implantable Medical Devices: An Epidemiologic Perspective
Jalbert, J. J., Ritchey, M. E., Mi, X., Chen, C., Hammill, B. G., Curtis, L. H., & Setoguchi, S. (2014) · American Journal of Epidemiology · doi:10.1093/aje/kwu206 · Cited by 9
Use of Electronic Health-Related Datasets in Nursing and Health-Related Research
Rawajfah, O. A., Aloush, S., & Hewitt, J. B. (2014) · Western Journal of Nursing Research · doi:10.1177/0193945914558426 · Cited by 9
The Benefits and Challenges of e-Health Applications: A Content Analysis of the South African context
Botha, M., & Marlien, H. (2014) · Cited by 9
Translating Health IT Policy into Practice in the UK NHS
Currie, W. L. (2014) · Journal of the Association for Information Systems · Cited by 9
Accuracy of inter-hospital transfer information in Australian hospital administrative databases
Assareh, H., Achat, H. M., & Lévesque, J. (2017) · Health Informatics Journal · doi:10.1177/1460458217730866 · Cited by 9
Is HIT a hit? The impact of health information technology on inpatient hospital outcomes
McKenna, R. M., Dwyer, D. S., & Rizzo, J. A. (2017) · Applied Economics · doi:10.1080/00036846.2017.1414934 · Cited by 9
Improved Comorbidity Capture Using a Standardized 1‐Step Quality Improvement Documentation Tool
Morrison, R. J., Malloy, K. M., & Bakshi, R. R. (2018) · Otolaryngology · doi:10.1177/0194599818764669 · Cited by 9
A Hybrid Web Based Personal Health Record System Shielded with Comprehensive Security
Israelson, J., & Cankaya, E. C. (2012) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2012.61 · Cited by 9
Entering the Second Decade of the Patient Safety Movement: The Field Matures
Wachter, R. M. (2009) · Archives of Internal Medicine · doi:10.1001/archinternmed.2009.351 · Cited by 9
e-Health in Pediatric Palliative Care
Knapp, C. A. (2010) · American Journal of Hospice and Palliative Medicine® · doi:10.1177/1049909109355596 · Cited by 9
Electronic Health Record AdoptionPreprint
Rey, K. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2567073 · Cited by 9
Transforming patient care by introducing an electronic medical records initiative in a developing country
Shuaib, W., Suarez, J. M., Romero, J. D., Pamello, C. D., Alweis, R., Khan, A. A., Shah, S. R., Shahid, H., PierreCharles, S. B., & Sanchez, L. R. (2016) · Health Informatics Journal · doi:10.1177/1460458215589204 · Cited by 8
The Complete Inpatient Record Using Comprehensive Electronic Data ( CIRCE ) project: A team‐based approach to clinically validated, research‐ready electronic health record data
Schneider, A. L. C., Ginestra, J. C., Kerlin, M. P., Shashaty, M. G. S., Miano, T. A., Herman, D. S., Mitchell, O. J. L., Bennett, R., Moffett, A. T., Chandler, J., et al. (2024) · Learning Health Systems · doi:10.1002/lrh2.10439 · Cited by 9
Improving Efficiency of Pediatric Hospital Medicine Team Daily Workflow
Unaka, N. I., Herrmann, L. E., Parker, M. W., Jerardi, K. E., Brady, P. W., Demeritt, B., Lichner, K., Carlisle, M. A., Treasure, J. D., Hickey, E., et al. (2019) · Hospital Pediatrics · doi:10.1542/hpeds.2019-0094 · Cited by 8
Technology acceptance model of Tuberculosis Integrated Information System in Indonesian primary healthcare
Pertiwi, F., Masudin, I., Zulfikarijah, F., Restuputri, D. P., & Setiawan, M. (2022) · Cogent Public Health · doi:10.1080/27707571.2022.2151929 · Cited by 8
BİREYLERİN MOBİL SAĞLIK UYGULAMASI KULLANIM DURUMU ve E-SAĞLIK OKURYAZARLIĞI İLİŞKİSİ
Emin, K. A. Y. A., & Eke, E. (2023) · İşletme Bilimi Dergisi · doi:10.22139/jobs.1159206 · Cited by 8
Event-driven changes in person-organization fit: A conceptual integration and research agenda
Raddatz, P. A. (2024) · Human Resource Management Review · doi:10.1016/j.hrmr.2024.101040 · Cited by 8
Future of clinical decision support in computerized prescriber order entry
Chaffee, B. W. (2010) · American Journal of Health-System Pharmacy · doi:10.2146/ajhp090194 · Cited by 8

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: Jha, Ashish K.
DesRoches, Catherine M.
Campbell, Eric G.
Donelan, Karen
Rao, Sowmya R.
Shields, Alexandra
Rosenbaum, Sara
Blumenthal, David
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
DOI: 10.1056/nejmsa0900592
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

Use of Electronic Health Records in U.S. Hospitals

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks