Perceptions of electronic health record implementation: a statewide survey of physicians in Rhode Island
Abstract
Objectives Although electronic health record use improves healthcare delivery, adoption into clinical practice is incomplete. We sought to identify the extent of adoption in Rhode Island and the characteristics of physicians and electronic health records associated with positive experience. Methods We performed a cross-sectional study of data collected by the Rhode Island Department of Health for the Health Information Technology Survey 2009 to 2013. Survey questions included provider and practice demographics, health record information, and Likert-type scaled questions regarding how electronic health record use affected clinical practice. Results The survey response rate ranged from 50% to 65%, with 62% in 2013. Increasing numbers of physicians in Rhode Island use an electronic health record. In 2013, 81% of physicians used one, and adoption varied by clinical subspecialty. Most providers think that electronic health record use improves billing and quality improvement but has not improved job satisfaction. Physicians with longer and more sophisticated electronic health record use report positive effects of introduction on all aspects of practice examined (P Conclusions We report the largest statewide study of electronic health record adoption to date. We found increasing physician use in Rhode Island, and the extent of adoption varies by subspecialty. Although older physicians are less likely to be positive about electronic health record adoption, longer and more sophisticat…
Integrity signals
Registry
Cites
Statistics
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?
Younger age is a characteristic of early adoption in the use of digital health tools.
“Several studies have suggested younger age as a characteristic of early adoption in the use of digital health tools.27,28”
From Clinician Adoption of an Artificial Intelligence Algorithm to Detect Left Ventricular Systolic Dysfunction in Primary Care. (2022) · cites this paper as [28]
Cites
Physician adoption of electronic health record systems: United States, 2011.
Jamoom, E. W., Beatty, P., Bercovitz, A., Woodwell, D. A., Palso, K., & Rechtsteiner, E. A. (2012) · PubMed · Cited by 168 · see citing works
Friedberg, M. W., Coltin, K. L., Safran, D. G., Dresser, M., Zaslavsky, A. M., & Schneider, E. C. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-7-200910060-00006 · Cited by 149 · see citing works
Wiring the Health System — Origins and Provisions of a New Federal Program
Blumenthal, D. (2011) · New England Journal of Medicine · doi:10.1056/nejmsr1110507 · Cited by 140 · see citing works
Reed, M., Huang, J., Graetz, I., Brand, R., Hsu, J., FIREMAN, B. H., & Jaffe, M. G. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-157-7-201210020-00004 · Cited by 116 · see citing works
Vishwanath, A., Singh, S. R., & Winkelstein, P. (2010) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2010.09.006 · Cited by 79 · see citing works
The Use of Electronic Health Records in the Exam Room and Patient Satisfaction: A Systematic Review
Irani, J., Middleton, J. L., Marfatia, R., Omana, E. T., & D'Amico, F. (2009) · The Journal of the American Board of Family Medicine · doi:10.3122/jabfm.2009.05.080259 · Cited by 78 · see citing works
Reed, M., Huang, J., Brand, R., Graetz, I., Neugebauer, R. S., FIREMAN, B. H., Jaffe, M. G., Ballard, D. W., & Hsu, J. (2013) · JAMA · doi:10.1001/jama.2013.276733 · Cited by 77 · see citing works
Archer, N., & Cocosila, M. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1726 · Cited by 64 · see citing works
Jarvis, B., Johnson, T. J., Butler, P. W., O’Shaughnessy, K., Fullam, F. A., Tran, L., & Gupta, R. (2013) · Academic Medicine · doi:10.1097/acm.0b013e3182a36cab · Cited by 64 · see citing works
Adler‐Milstein, J., Salzberg, C., Franz, C., Orav, E. J., Newhouse, J. P., & Bates, D. W. (2013) · Annals of Internal Medicine · doi:10.7326/0003-4819-159-2-201307160-00004 · Cited by 44 · see citing works
The good, the bad and the early adopters: providers' attitudes about a common, commercial EHR
Makam, A. N., Lanham, H. J., Batchelor, K., Moran, B., Howell‐Stampley, T., Kirk, L. M., Cherukuri, M., Samal, L., Santini, N. O., Leykum, L. K., et al. (2013) · Journal of Evaluation in Clinical Practice · doi:10.1111/jep.12076 · Cited by 39 · see citing works
The 2012 EHR User Satisfaction Survey: responses from 3,088 family physicians.
Edsall, R. L., & Adler, K. G. (2013) · PubMed · Cited by 36 · see citing works
Menachemi, N., Powers, T. L., & Brooks, R. G. (2011) · Journal of Healthcare Management · doi:10.1097/00115514-201105000-00007 · Cited by 34 · see citing works
The role of information technology usage in physician practice satisfaction
Menachemi, N., Powers, T. L., & Brooks, R. G. (2009) · Health Care Management Review · doi:10.1097/hmr.0b013e3181a90d53 · Cited by 30 · see citing works
Rosen, P., Spalding, S. J., Hannon, M. J., Boudreau, R. M., & Kwoh, C. K. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1525 · Cited by 30 · see citing works
Electronic Results Management in Pediatric Ambulatory Care: Qualitative Assessment
Ferris, T. G. G., Johnson, S. A., Co, J. P. T., Backus, M. M., Perrin, J. M., Bates, D. W., & Poon, E. G. (2008) · PEDIATRICS · doi:10.1542/peds.2008-1755g · Cited by 26 · see citing works
Effects of electronic prescribing on the clinical practice of a family medicine residency.
Duffy, R. L., Yiu, S. S. A., Molokhia, E. A., Walker, R., & Perkins, R. A. (2010) · PubMed · Cited by 24 · see citing works
Wright, E. W., & Marvel, J. (2012) · The Health Care Manager · doi:10.1097/hcm.0b013e3182619e90 · Cited by 20 · see citing works
Heyworth, L. K., Zhang, F., Jenter, C. A., Kell, R., Volk, L. A., Tripathi, M., Bates, D. W., & Simon, S. R. (2012) · Interactive Journal of Medical Research · doi:10.2196/ijmr.2064 · Cited by 13 · see citing works
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 · see citing works
Self-citationRhode Island physicians' health information technology (HIT) use, 2009-2011.
Baier, R. R., Voss, R., Morphis, B., Viner-Brown, S. I., & Gardner, R. (2011) · PubMed · Cited by 7 · see citing works
Self-citationThe adoption and use of health information technology (HIT) by Rhode Island physicians, 2009.
Baier, R. R., Buechner, J. S., Gifford, D., Harris, Y., & Gardner, R. (2010) · PubMed · Cited by 2 · see citing works
Self-citation
Flagged first, then by citations
4 of the 26 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Effect of Organization-Directed Workplace Interventions on Physician Burnout: A Systematic Review
DeChant, P. F., Acs, A., Rhee, K. B., Boulanger, T. S., Snowdon, J. L., Tutty, M. A., Sinsky, C. A., & Thomas Craig, K. J. (2019) · Mayo Clinic Proceedings: Innovations, Quality & Outcomes · doi:10.1016/j.mayocpiqo.2019.07.006 · Cited by 192 · see citing works
Thomas Craig, K. J., Willis, V. C., Gruen, D., Rhee, K., & Jackson, G. P. (2021) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa301 · Cited by 123 · see citing works
Nguyen, O. T., Jenkins, N. J., Khanna, N., Shah, S., Gartland, A., Turner, K. L., & Merlo, L. J. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa339 · Cited by 97 · see citing works
Priestman, W., Sridharan, S., Vigne, H., Collins, R., Seamer, L., & Sebire, N. J. (2018) · BMJ Health & Care Informatics · doi:10.14236/jhi.v25i2.1007 · Cited by 47 · see citing works
Hanauer, D., Branford, G. L., Greenberg, G., Kileny, S., Couper, M., Zheng, K., & Choi, S. (2017) · J. Am. Medical Informatics Assoc. · doi:10.1093/jamia/ocw077 · Cited by 45 · see citing works
Williams, D. C., Warren, R. W., Ebeling, M. D., Andrews, A. L., & Teufel, R. J. (2018) · JMIR Medical Informatics · doi:10.2196/10949 · Cited by 37 · see citing works
Rushlow, D. R., Croghan, I. T., Inselman, J. W., Thacher, T. D., Friedman, P. A., Yao, X., Pellikka, P. A., Lopez-Jimenez, F., Bernard, M. E., Barry, B. A., et al. (2022) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2022.04.008 · Cited by 33 · see citing works
Barriers to Care Coordination and Medical Home Implementation
Tschudy, M. M., Raphael, J. L., Nehal, U. S., O’Connor, K. G., Kowalkowski, M. A., & Stille, C. J. (2016) · PEDIATRICS · doi:10.1542/peds.2015-3458 · Cited by 33 · see citing works
Lessons Learned From Google Glass
Yu, J. C., Ferniany, W., Guthrie, B. L., Parekh, S. G., & Ponce, B. A. (2015) · Surgical Innovation · doi:10.1177/1553350615597085 · Cited by 32 · see citing works
Apaydin, E. A. (2020) · SAGE Open · doi:10.1177/2158244019899092 · Cited by 26 · see citing works
Scoping review: Positive and negative impact of technology on clinicians
McBride, S. G., Alexander, G. L., Baernholdt, M., Vugrin, M., & Epstein, B. (2023) · Nursing Outlook · doi:10.1016/j.outlook.2023.101918 · Cited by 25 · see citing works
Konduri, N., Bastos, L. G. V., Sawyer, K., & Reciolino, L. F. A. (2017) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.03.017 · Cited by 19 · see citing works
Konduri, N., Sawyer, K., & Nizova, N. (2017) · ERJ Open Research · doi:10.1183/23120541.00002-2017 · Cited by 17 · see citing works
Evaluation of the use of electronic medical record systems in Brazilian intensive care units
Colleti, J., de Andrade, A. B., & de Carvalho, W. B. (2018) · Revista Brasileira de Terapia Intensiva · doi:10.5935/0103-507x.20180057 · Cited by 14 · see citing works
Schwarz, M., Coccetti, A., Draheim, M., & Gordon, G. (2020) · Australian Health Review · doi:10.1071/ah19024 · Cited by 11 · see citing works
Srivastava, A., Ayyalasomayajula, S., Bao, C., Ayabakan, S., & Delen, D. (2022) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocac082 · Cited by 9 · see citing works
Harocopos, A., Allen, B., & Chernick, R. (2021) · Family Practice · doi:10.1093/fampra/cmab074 · Cited by 8 · see citing works
Electronic Medical Record in the ED
Franco, M., Baird, J. R., Brown, L., & Overly, F. L. (2018) · Pediatric Emergency Care · doi:10.1097/pec.0000000000001441 · Cited by 7 · see citing works
Arnautovic, T. I., Sommese, K., Mullan, P. C., Frazier, S. B., Vazifedan, T., & Ramirez, D. E. (2017) · Pediatric Emergency Care · doi:10.1097/pec.0000000000001375 · Cited by 7 · see citing works
Diaz-Miron, J. L., Ogle, S. B., Kaizer, A. M., Acker, S. N., Rove, K. O., & Inge, T. H. (2021) · Pediatric Surgery International · doi:10.1007/s00383-021-05016-8 · Cited by 7 · see citing works
Die Digitalisierung aus Ärztesicht (Teil II)
Röthlisberger, F., Sojer, R., Zingg, T., & Rayki, O. (2018) · Bulletin des Médecins Suisses · doi:10.4414/saez.2018.17377 · Cited by 6 · see citing works
Pereira, I. R. B. D. O., Dantas, T. R. D. S., da Silva, D. C., & Lucena, J. P. O. (2022) · Revista de Gestão e Projetos · doi:10.5585/gep.v13i1.21535 · Cited by 3 · see citing works
Electronic Health Record Use Among American Neurotology Society Members
Kamil, R. J., Giddings, N. A., Hoffer, M. E., Ying, Y. M., Kwartler, J. A., Brookler, K. H., Arriaga, M. A., & Agrawal, Y. (2018) · Otology & Neurotology · doi:10.1097/mao.0000000000001948 · Cited by 3 · see citing works
A study of Cook Islands nurses' attitudes towards electronic medical records technology
Frank, J., Salmona, M., Rivard, P. E., & Al‐Amin, M. (2018) · The Electronic Journal of Information Systems in Developing Countries · doi:10.1002/isd2.12047 · Cited by 3 · see citing works
Macro influencers of electronic health records adoption
Raghavan, V. V., Chinta, R. C., & Zhirkin, N. (2015) · International Journal of Electronic Healthcare · doi:10.1504/ijeh.2015.071644 · Cited by 2 · see citing works
Al-Khatlan, H. M. (2019) · Assiut Scientific Nursing Journal · doi:10.21608/asnj.2019.67857 · Cited by 2 · see citing works
Should Government Subsidize Electronic Health Records?Preprint
Marlow, M. L. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3191451 · Cited by 2 · see citing works
Implementing electronic health records in the NHS: key considerations
Chada, B. V. (2022) · British Journal of Healthcare Management · doi:10.12968/bjhc.2021.0048 · Cited by 2 · see citing works
(2024) · Journal of Angiotherapy · doi:10.25163/angiotherapy.859700 · Cited by 1 · see citing works
La numérisation du point de vue du médecin (2e partie)
Röthlisberger, F., Sojer, R., Zingg, T., & Rayki, O. (2018) · Bulletin des Médecins Suisses · doi:10.4414/bms.2018.17377
Physician Time Spent Using the Electronic Health Record During Outpatient Encounters
Oya, K., Ishiyama, Y., & Hideyuki, K. (2020) · Annals of Internal Medicine · doi:10.7326/l20-0277
INFORMACINIŲ TECHNOLOGIJŲ NAUDOJIMO SĄSAJOS SU SLAUGOS KOKYBE
Šimkevičiūtė, E., Stirblienė, J., & Istomina, N. (2023) · Health Sciences · doi:10.35988/sm-hs.2023.071
Electronic Health Record for the Orthopaedic Providers
Mener, A., Coluccio, V., & Rosenbaum, A. J. (2024) · JBJS Journal of Orthopaedics for Physician Assistants · doi:10.2106/jbjs.jopa.23.00023
The Impact of Medical Record Documentation on Healthcare Provider Productivity: (Review Artical)
ALRSHIDI, M. N. M. S. A. A. S. M., MOHAMMAD, A. S. B., & Alshammari, . N. K. (2023) · The Medical Journal of Cairo University/The Medical Journal of Cairo University · doi:10.21608/mjcu.2023.356630
- Authors
- Wylie, M. C., Baier, R. R., & Gardner, R. L.
- Affiliations
- Brown University (US)
- Corresponding author
- Wylie, Matthew C.
- Venue
- The American Journal of Medicine
- Publisher
- Elsevier BV
- Published
- 2014-10
- Volume
- 127
- Issue
- 10
- Pages
- 1010.e21-1010.e27
- ISSN
- 0002-9343 (ISSN-L)
- OpenAlex
- W2089107105
- Cited by
- 35
- References
- 26
- Citations by year
- 2024: 2 · 2023: 3 · 2022: 4 · 2021: 3 · 2020: 5 · 2019: 2 · 2018: 9 · 2017: 3 · 2016: 2 · 2015: 2
- FWCI
- 4.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The American Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Rhode Island's Healthcare Quality Reporting Program
- 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 › Issues, ethics and legal aspects › Nursing Diagnosis and Documentation
- Keywords
- electronic health records, EHR adoption, physician perceptions, job satisfaction, clinical practice, health information technology, EHR vendors, physician age, Rhode Island, billing, quality improvement
- MeSH terms
- Age Factors, Attitude of Health Personnel, Cross-Sectional Studies, Health Plan Implementation, Humans, Job Satisfaction, Middle Aged, Patient Credit and Collection, Physicians, Quality of Health Care, Rhode Island, Specialization, Time Factors, United States, Health Care Surveys, American Recovery and Reinvestment Act, Workflow, Electronic Health Records
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