Barriers to the adoption of electronic health records: using concept mapping to develop a comprehensive empirical model
Open accessAbstract
The study attempts to unify prior research and develop a comprehensive, empirically based conceptual model of the barriers to EHR adoption among community physicians. The model uses concept mapping, which taps the shared expertise of a group and provides reliable estimates with relatively small sample sizes. The methodology includes brainstorming of barrier statements and sorting and rating of issue statements. The model illuminates the larger structure of barriers as well as the finer details of constituent issues. Core issues are standardization and interoperability; also important are technical issues and the cost—benefit of adopting EHRs. However, psychosocial issues, the main focus of diffusion research, seem relatively peripheral. We believe the development of this model is an important first step in creating effective and measurable interventions that enhance the adoption of EHRs in healthcare.
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
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Different eHealth adoption factors reported in studies may have made it difficult for decision makers to understand, measure, and decrease inhibiting factors or enhance facilitating forces.
“According to the results of these studies, different eHealth adoption factors may have led to difficulty for decision makers to explicitly understand, measure, and decrease inhibiting factors or enhance facilitating forces [9].”
From Health Care Provider Adoption of eHealth: Systematic Literature Review (2013) · cites this paper as [9]
A broad spectrum of research methodologies has been used to study eHealth adoption and acceptance factors.
“A broad spectrum of research methodologies have been used to study eHealth adoption and acceptance factors based on information provided in published studies [9].”
From Health Care Provider Adoption of eHealth: Systematic Literature Review (2013) · cites this paper as [9]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · see citing works
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,557 · see citing works
Valente, T. W. (2003) · Genetics in Medicine · doi:10.1097/01.gim.0000061743.67794.c4 · Cited by 20,555 · see citing works
Everitt, B. J., Landau, S., & Leese, M. (1974) · Cited by 9,186 · see citing works
An introduction to concept mapping for planning and evaluation
Trochim, W. M. K. (1989) · Evaluation and Program Planning · doi:10.1016/0149-7189(89)90016-5 · Cited by 1,512 · see citing works
Factors and Forces Affecting EHR System Adoption: Report of a 2004 ACMI Discussion
Ash, J. S. (2004) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1684 · Cited by 406 · see citing works
The Barriers to Electronic Medical Record Systems and How to Overcome Them
McDonald, C. J. (1997) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1997.0040213 · Cited by 378 · see citing works
Does the extended technology acceptance model apply to physicians
Chismar, W. G., & Wiley-Patton, S. (2003) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2003.1174354 · Cited by 302 · see citing works
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 295 · see citing works
Implementation of Physician Order Entry: User Satisfaction and Self-Reported usage Patterns
Lee, F., Teich, J. M., Spurr, C. D., & Bates, D. W. (1996) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1996.96342648 · Cited by 261 · see citing works
Exploring Barriers and Facilitators to the Use of Computerized Clinical Reminders
Saleem, J. J., Patterson, E. S., Militello, L. G., Render, M. L., Orshansky, G., & Asch, S. M. (2005) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1777 · Cited by 250 · see citing works
Trochim, W. M. K. (1989) · Evaluation and Program Planning · doi:10.1016/0149-7189(89)90027-x · Cited by 236 · see citing works
Ash, J. (1997) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1997.0040102 · Cited by 174 · see citing works
Conceptualization for planning and evaluation
Trochim, W. M. K., & Linton, R. (1986) · Evaluation and Program Planning · doi:10.1016/0149-7189(86)90044-3 · Cited by 165 · see citing works
Middleton, B. (2004) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1669 · Cited by 135 · see citing works
Human Factors Barriers to the Effective Use of Ten HIV Clinical Reminders
Patterson, E. S., Nguyen, A. D., Halloran, J. P., & Asch, S. M. (2004) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1364 · Cited by 115 · see citing works
Weiner, M., Gress, T., Thiemann, D. R., Jenckes, M. W., Reel, S., Mandell, S. F., & Bass, E. B. (1999) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1999.0060234 · Cited by 112 · see citing works
Take Note(s): Differential EHR Satisfaction with Two Implementations under One Roof
O’Connell, R. T., Cho, C., Shah, N., Brown, K., & Shiffman, R. N. (2003) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1409 · Cited by 93 · see citing works
Use of computerized clinical support systems in medical settings: United States, 2001-03.
Burt, C. W., & Hing, E. (2005) · PubMed · Cited by 91 · see citing works
Medical Error: Is the Solution Medical or Cognitive?
Zhang, J. (2002) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1232 · Cited by 83 · see citing works
The needs of children with life-limiting conditions: A healthcare-provider-based model
Donnelly, J. P., Huff, S. M., Lindsey, M. L., McMahon, K. A., & Schumacher, J. D. (2005) · American Journal of Hospice and Palliative Medicine® · doi:10.1177/104990910502200406 · Cited by 78 · see citing works
Development of a model of the tobacco industry’s interference with tobacco control programmes
Trochim, W. M. K., Stillman, F. A., Clark, P. I., & Schmitt, C. L. (2003) · Tobacco Control · doi:10.1136/tc.12.2.140 · Cited by 72 · see citing works
Lyons, S. S. (2004) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1495 · Cited by 66 · see citing works
Federal Health Information Policy: A Case Of Arrested Development
Goldsmith, J., Blumenthal, D., & Rishel, W. (2003) · Health Affairs · doi:10.1377/hlthaff.22.4.44 · Cited by 50 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Lyons S, Tripp-Reimer, T, Sorofman, B A, et al. Information technology for clinical guideline implementation: perceptions of multidisciplinary stakeholders. Journal of the American Medical Informatics Association 2005; 12 (1); 64-71.
Cited by
Sorted by citations
Boonstra, A., & Broekhuis, M. (2010) · BMC Health Services Research · doi:10.1186/1472-6963-10-231 · Cited by 851 · see citing works
Health Care Provider Adoption of eHealth: Systematic Literature Review
Li, J., Talaei-Khoei, A., Seale, H., Ray, P., & MacIntyre, C. R. (2013) · interactive Journal of Medical Research · doi:10.2196/ijmr.2468 · Cited by 250 · see citing works
Liu, L., Miguel Cruz, A., Rios Rincon, A., Buttar, V., Ranson, Q., & Goertzen, D. (2015) · Disability and Rehabilitation · doi:10.3109/09638288.2014.923529 · Cited by 229 · see citing works
Castillo, V. H., Martínez-García, A. I., & Pulido, J. (2010) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-10-60 · Cited by 155 · see citing works
Adoption of e-health technology by physicians: a scoping review
de Grood, C., Raissi, A., Kwon, Y., & Santana, M. (2016) · Journal of Multidisciplinary Healthcare · doi:10.2147/jmdh.s103881 · Cited by 142 · see citing works
Cyber hygiene: The concept, its measure, and its initial tests
Vishwanath, A., Neo, L. S., Goh, P., Lee, S., Khader, M., Ong, G., & Chin, J. (2020) · Decision Support Systems · doi:10.1016/j.dss.2019.113160 · Cited by 115 · see citing works
Self-citationVishwanath, 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
Self-citationExternal Factors in Hospital Information System (HIS) Adoption Model: A Case on Malaysia
Lee, H. W., Ramayah, T., & Zakaria, N. (2011) · Journal of Medical Systems · doi:10.1007/s10916-011-9675-4 · Cited by 79 · see citing works
Zwaanswijk, M., Verheij, R. A., Wiesman, F. J., & Friele, R. D. (2011) · BMC Health Services Research · doi:10.1186/1472-6963-11-256 · Cited by 72 · see citing works
Najaftorkaman, M., Ghapanchi, A. H., Talaei‐Khoei, A., & RAY, P. K. (2014) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23181 · Cited by 71 · see citing works
The adoption of electronic medical record by physicians
Dutta, B., & Hwang, H. (2020) · Medicine · doi:10.1097/md.0000000000019290 · Cited by 65 · see citing works
Telemedicine Healthcare Service Adoption Barriers in Rural Bangladesh
Zobair, K. M., Sanzogni, L., & Sandhu, K. (2020) · AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems · doi:10.3127/ajis.v24i0.2165 · Cited by 62 · see citing works
Cresswell, K. M., Morrison, Z., Crowe, S., Robertson, A. R. R., & Sheikh, A. (2011) · Journal of Innovation in Health Informatics · doi:10.14236/jhi.v19i4.814 · Cited by 62 · see citing works
The effects of information privacy concerns on digitizing personal health records
Li, T., & Slee, T. (2014) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23068 · Cited by 56 · see citing works
Training providers: beyond the basics of electronic health records
Bredfeldt, C. E., Awad, E. B., Joseph, K., & Snyder, M. H. (2013) · BMC Health Services Research · doi:10.1186/1472-6963-13-503 · Cited by 59 · see citing works
Putteeraj, M., Bhungee, N., Somanah, J., & Moty, N. (2021) · International Health · doi:10.1093/inthealth/ihab035 · Cited by 66 · see citing works
Physicians’ perception and attitude toward electronic medical record
Lakbala, P., & Dindarloo, K. (2014) · SpringerPlus · doi:10.1186/2193-1801-3-63 · Cited by 60 · see citing works
Digital health eco-systems: An epochal review of practice-oriented research
Stephanie, F. L., & Sharma, R. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.10.017 · Cited by 60 · see citing works
Barriers to the Adoption of Electronic Medical Record System in Ethiopia: A Systematic Review
Yehualashet, D. E., Seboka, B. T., Tesfa, G. A., Demeke, A. D., & Amede, E. S. (2021) · Journal of Multidisciplinary Healthcare · doi:10.2147/jmdh.s327539 · Cited by 56 · see citing works
Jimma, B. L., & Enyew, D. B. (2022) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2022.100991 · Cited by 66 · see citing works
From Belief-Importance to Intention: The Impact of Framing on Technology Adoption
Vishwanath, A. (2009) · Communication Monographs · doi:10.1080/03637750902828438 · Cited by 56 · see citing works
Self-citationDastagir, M. T., Chin, H. L., McNamara, M., Poteraj, K., Battaglini, S., & Alstot, L. (2012) · PubMed Central · Cited by 52 · see citing works
Adopting health apps, what's hindering doctors and patients?
Dehzad, F., Hilhorst, C., de Bie, C., & Claassen, E. (2014) · Health · doi:10.4236/health.2014.616256 · Cited by 46 · see citing works
Alkraiji, A. I., Jackson, T., & Murray, I. (2013) · Journal of Medical Systems · doi:10.1007/s10916-012-9895-2 · Cited by 45 · see citing works
Factors influencing adoption of eHealth technologies in Ghana
Kesse-Tachi, A., Asmah, A. E., & Agbozo, E. (2019) · Digital Health · doi:10.1177/2055207619871425 · Cited by 42 · see citing works
Inquiry in health knowledge management
Sheffield, J. (2008) · Journal of Knowledge Management · doi:10.1108/13673270810884327 · Cited by 37 · see citing works
Interoperability for medical information systems: an overview
Hammami, R., Bellâaj, H., & Kacem, A. H. (2014) · Health and Technology · doi:10.1007/s12553-014-0085-8 · Cited by 36 · see citing works
Walle, A. D., Demsash, A. W., Adem, J. B., Wubante, S. M., Shibabaw, A. A., Mamo, D. N., Kebede, S. D., Muluneh, A. A., Mengistie, M. B., Gebeyew, A. S., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0287991 · Cited by 34 · see citing works
Djalali, S., Ursprung, N., Rosemann, T. J., Senn, O., & Tandjung, R. (2015) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2015.08.001 · Cited by 32 · see citing works
Weeger, A., & Gewald, H. (2014) · Health Systems · doi:10.1057/hs.2014.11 · Cited by 34 · see citing works
Beyond the Focus Group: Understanding Physicians’ Barriers to Electronic Medical Records
Yan, H., Gardner, R. L., & Baier, R. R. (2012) · The Joint Commission Journal on Quality and Patient Safety · doi:10.1016/s1553-7250(12)38024-0 · Cited by 34 · see citing works
Ogourtsova, T., Archambault, P. S., & Lamontagne, A. (2017) · Disability and Rehabilitation · doi:10.1080/09638288.2017.1387292 · Cited by 34 · see citing works
The used theories for the adoption of electronic health record: a systematic literature review
Sadoughi, F., Khodaveisi, T., & Ahmadi, H. (2018) · Health and Technology · doi:10.1007/s12553-018-0277-8 · Cited by 36 · see citing works
Business models for telemedicine services: a literature review
Acheampong, F., & Vimarlund, V. (2014) · Health Systems · doi:10.1057/hs.2014.20 · Cited by 33 · see citing works
Alkraiji, A. I., Jackson, T., & Murray, I. (2016) · Journal of Enterprise Information Management · doi:10.1108/jeim-11-2014-0111 · Cited by 33 · see citing works
Al-Aswad, A. M., Brownsell, S., Palmer, R., & Nichol, J. P. (2013) · Cited by 31 · see citing works
Exploring the Determinants of Mobile Health Adoption by Hospitals in China: Empirical Study
Ramdani, B., Duan, B., & Berrou, I. (2019) · JMIR Medical Informatics · doi:10.2196/14795 · Cited by 34 · see citing works
Klappe, E. S., de Keizer, N. F., & Ronald Cornet, A. (2020) · Applied Clinical Informatics · doi:10.1055/s-0040-1712466 · Cited by 31 · see citing works
Bahendeka, S., Mutungi, G. N., Tugumisirize, F., Kamugisha, A., Nyangabyaki, C., Wesonga, R., Sseguya, W., Mubangizi, D., Nalunkuma, C., & Piloya, T. (2019) · Global Public Health · doi:10.1080/17441692.2019.1611897 · Cited by 27 · see citing works
Liu, F., Lu, Y., & Wang, P. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.537833 · Cited by 27 · see citing works
Shawahna, R. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-019-0928-3 · Cited by 25 · see citing works
Enabling patient-centered communication and care through health information technology
Rutten, L. J. F., Agunwamba, A. A., Greene, S. M., Mazor, K. M., Ebbert, J. O., Sauver, J. L. S., & Dearing, J. W. (2014) · Journal of Communications In Healthcare · doi:10.1179/1753807614y.0000000067 · Cited by 25 · see citing works
Vishwanath, A., Brodsky, L. S., & Shaha, S. H. (2009) · Journal of Health Communication · doi:10.1080/10810730802592270 · Cited by 24 · see citing works
Self-citationChallenges and Strategies for Enhancing eHealth Capacity Building Programs in African Nations
Asah, F. N., & Kaasbøll, J. (2023) · Journal of Personalized Medicine · doi:10.3390/jpm13101463 · Cited by 22 · see citing works
Mohamadali, N. A., & Garibaldi, J. M. (2012) · International Conference on Health Informatics · doi:10.5220/0003696901190124 · Cited by 22 · see citing works
Lessons Learned in Using Hospital Discharge Data for State and National Public Health Surveillance
Love, D., Rudolph, B. A., & Shah, G. H. (2008) · Journal of Public Health Management and Practice · doi:10.1097/01.phh.0000338365.66704.7d · Cited by 22 · see citing works
Event sequence modeling of IT adoption in healthcare
Spaulding, T. J., Furukawa, M. F., Raghu, T. S., & Vinzé, A. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.10.002 · Cited by 22 · see citing works
Kim, E.-D., Kuan, K. K. Y., Vaghasiya, M., Penm, J., Gunja, N., Amrani, R. E., & Poon, S. K. (2022) · Behavior and Information Technology · doi:10.1080/0144929x.2022.2117081 · Cited by 16 · see citing works
Heart, T., O’Reilly, P., Sammon, D., & O’Donoghue, J. (2009) · Journal of Systems and Information Technology · doi:10.1108/13287260910983623 · Cited by 21 · see citing works
Otto, P., & Nevo, D. (2013) · Journal of Enterprise Information Management · doi:10.1108/17410391311289613 · Cited by 18 · see citing works
Noureldin, M., Mosollom, R., & Hassan, S. Z. (2014) · Eastern Mediterranean Health Journal · doi:10.26719/2014.20.2.105 · Cited by 17 · see citing works
Hwang, H., Dutta, B., & Chang, H.-C. (2019) · Methods of Information in Medicine · doi:10.1055/s-0039-1695718 · Cited by 16 · see citing works
Informed collaboration in health care: An embedded‐cases study in geriatric telepsychiatry
Hansen, S., Gogan, J. L., Baxter, R. J., & Garfield, M. J. (2018) · Information Systems Journal · doi:10.1111/isj.12218 · Cited by 15 · see citing works
Patterns and changes in prescriber attitudes toward PDA prescription-assistive technology
Vishwanath, A., Brodsky, L., Shaha, S., Leonard, M., & Cimino, M. (2009) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2008.10.004 · Cited by 16 · see citing works
Self-citationDo Political Economy Factors Influence Funding Allocations for Disaster Risk Reduction?
Islam, S., Zobair, K. M., Chu, C. M.-Y., Smart, J. C. R., & Alam, M. (2021) · Journal of risk and financial management · doi:10.3390/jrfm14020085 · Cited by 14 · see citing works
Electronic Health Records: A Survey
Rahman, R., & Reddy, C. K. A. (2015) · Cited by 14 · see citing works
Noteboom, C., & Qureshi, S. (2011) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2011.342 · Cited by 12 · see citing works
Exploring Healthcare Professionals’ Perspectives on Electronic Medical Records: A Qualitative Study
Torkman, R., Ghapanchi, A. H., & Ghanbarzadeh, R. (2025) · Information · doi:10.3390/info16030236 · Cited by 12 · see citing works
Noteboom, C., Bastola, D. R., & Qureshi, S. (2012) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2012.191 · Cited by 12 · see citing works
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 · see citing works
Use of Electronic Documentation for Quality Improvement in Hospice
Cagle, J. G., Rokoske, F. S., Durham, D. D., Schenck, A. P., Spence, C., & Hanson, L. C. (2012) · American Journal of Medical Quality · doi:10.1177/1062860611425103 · Cited by 11 · see citing works
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 · see citing works
Noteboom, C., Motorny, S. P., Qureshi, S., & Sarnikar, S. (2014) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2014.87 · Cited by 10 · see citing works
Vishwanath, A. (2009) · Health Communication · doi:10.1080/10410230903025407 · Cited by 10 · see citing works
Self-citationZwaanswijk, M., Ploem, M. C., Wiesman, F., Verheij, R. A., Friele, R. D., & Gevers, J. K. M. (2013) · Research portal (Tilburg University) · Cited by 10 · see citing works
Helmle, K. E., Edwards, A. L., Kushniruk, A. W., & Borycki, E. M. (2018) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2017.10.059 · Cited by 11 · see citing works
Miller, L. C., Rosas, S. R., & Hall, K. (2011) · Journal of research in nursing · doi:10.1177/1744987111403883 · Cited by 9 · see citing works
Antecedents to the user adoption of electronic medical record
Najaftorkaman, M., & Ghapanchi, A. H. (2014) · Griffith Research Online · Cited by 9 · see citing works
The Coming Age Of Electronic Medical Records: From Paper To Electronic
Malhotra, N., & Lassiter, M. (2014) · International Journal of Management & Information Systems (IJMIS) · doi:10.19030/ijmis.v18i2.8493 · Cited by 8 · see citing works
Switching to Electronic Health Record Systems: A Replication of the User Resistance Model
Samhan, B., & Joshi, K. (2019) · AIS Transactions on Replication Research · doi:10.17705/1atrr.00043 · Cited by 8 · see citing works
The Psychology of the Diffusion and Acceptance of Technology
Vishwanath, A. (2015) · doi:10.1002/9781118426456.ch14 · Cited by 8 · see citing works
Self-citationExploring New Factors and The Question of 'Which' in User Acceptance Studies of Healthcare Software
Azizah, N., & Mohamadali, K. (2013) · Nottingham ePrints (University of Nottingham) · Cited by 8 · see citing works
Weeger, A., & Gewald, H. (2013) · European Conference on Information Systems · Cited by 7 · see citing works
Improving EMR System Adoption in Canadian Medical Practice: A Research Model
Archer, N., & Cocosila, M. (2009) · World Congress on Privacy, Security, Trust and the Management of e-Business (CONGRESS) · doi:10.1109/congress.2009.15 · Cited by 7 · see citing works
Media Portrayals of the Female Condom
Chatterjee, K., & Shaw, C. M. (2012) · Journal of health communication · doi:10.1080/10810730.2012.665423 · Cited by 7 · see citing works
Investigation Interoperability Problems in Pharmacy Automation: A Case Study in Saudi Arabia
Binobaid, S., Fan, I., & Almeziny, M. (2016) · Procedia Computer Science · doi:10.1016/j.procs.2016.09.166 · Cited by 6 · see citing works
Chirchir, L. K., Aruasa, W., & Chebon, S. K. (2020) · African Journal of Science Technology Innovation and Development · doi:10.1080/20421338.2020.1777676 · Cited by 6 · see citing works
Guidelines to Overcome the Electronic Health Records Barriers in Developing Countries
Boshnak, H., Abdel, S., Abdo, A., & Yehia, E. (2019) · International Journal of Computer Applications · doi:10.5120/ijca2019918415 · Cited by 5 · see citing works
Morris, B., Warren, A., Bradwell, H. L., & Noonan, M. (2023) · JBI Evidence Synthesis · doi:10.11124/jbies-22-00313 · Cited by 5 · see citing works
Continuing Education in Informatics Among Registered Nurses in the United States in 2000
Kleib, M., Sales, A. E., Lima, I. S. F., Baylon, M. A. B., & Beaith, A. (2010) · The Journal of Continuing Education in Nursing · doi:10.3928/00220124-20100503-08 · Cited by 5 · see citing works
Obstacles of eHealth Capacity Building and Innovation Promotion Initiative in African Countries
Asah, F. N., Kaasbøll, J., & Anthun, K. S. (2022) · Studies in health technology and informatics · doi:10.3233/shti220961 · Cited by 4 · see citing works
Exploring maturity of electronic medical record use among allied health professionals
Schwarz, M., Ward, E. C., Coccetti, A., Simmons, J., Burrett, S., Juffs, P., & Perkins, K. (2023) · Health Information Management Journal · doi:10.1177/18333583231198100 · Cited by 4 · see citing works
Graph databases for openEHR clinical repositories
Kuroda, T., Tamura, H., Okamoto, K., Hiragi, S., Kondoh, E., Kume, N., Yamamoto, G., Helou, S., & Kobayashi, S. (2017) · International Journal of Computational Science and Engineering · doi:10.1504/ijcse.2017.10017366 · Cited by 4 · see citing works
Let's do groceries - a novel virtual assessment for post-stroke unilateral spatial neglect
Ogourtsova, T., Archambault, P. S., & Lamontagne, A. (2017) · International Conference on Virtual Rehabilitation · doi:10.1109/icvr.2017.8007515 · Cited by 4 · see citing works
Alkraiji, A. I. (2012) · Loughborough University Institutional Repository (Loughborough University) · Cited by 4 · see citing works
The Impact of E-Health Adoption and Investment on Health Outcomes: A Study using Secondary Analysis
Gill, N. (2009) · TSpace (University of Toronto) · Cited by 4 · see citing works
Schwarz, M., Ward, E. C., Coccetti, A., Simmons, J., Burrett, S., Juffs, P., Perkins, K., & Foley, J. (2023) · Australian Health Review · doi:10.1071/ah22288 · Cited by 3 · see citing works
Nandikove, P., Mwaura, T. W., & Njuguna, S. (2018) · doi:10.9790/1959-0702073139 · Cited by 3 · see citing works
Health Informatics: A UK and Canadian Perspective on Current and Future Challenges
Baskaran, V., Bali, R. K., Arochena, H. E., Naguib, R. N. G., Khanapi, M., Baskaran, V., Arochena, H., Naguib, R. N. G., Khanapi, M., Shah, B., et al. (2008) · Journal of the Association for Information Systems · Cited by 3 · see citing works
Contributing factors to adoption of electronic medical records in otolaryngology offices
Mahboubi, H., Salibian, A. A., Kuan, E. C., Patel, M. S., & Armstrong, W. B. (2013) · The Laryngoscope · doi:10.1002/lary.24205 · Cited by 3 · see citing works
Bozan, K., & Mooney, D. (2018) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2018.417 · Cited by 2 · see citing works
Vishwanath, A., Winkelstein, P., & Singh, S. R. (2006) · PubMed Central · Cited by 2 · see citing works
Self-citationPerceived Organizational Readiness Study on EHR Implementation
Gomillion, D., & George, J. F. (2011) · Journal of the Association for Information Systems · Cited by 2 · see citing works
Noteboom, C., & Qureshi, S. (2013) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2013.247 · Cited by 2 · 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
Telemedicine Adoption Opportunities and Challenges in the Developing World
Zobair, K. M., Sanzogni, L., Sandhu, K., & Islam, M. J. (2020) · Advances in healthcare information systems and administration book series · doi:10.4018/978-1-7998-2949-2.ch008 · Cited by 2 · see citing works
Alharthi, H. (2019) · Saudi Journal for Health Sciences · doi:10.4103/sjhs.sjhs_14_19 · Cited by 2 · see citing works
Waltz, T. J. (2020) · Edward Elgar Publishing eBooks · doi:10.4337/9781788975995.00037 · Cited by 2 · see citing works
Acceptance and Usage of Electronic Health Record Systems in Small Medical Practices.
Tannan, R. (2012) · ScholarWorks (Walden University) · Cited by 2 · see citing works
- Authors
- Vishwanath, A., & Scamurra, S. D.
- Affiliations
- University at Buffalo, State University of New York (US)
- Western New York Health IT -Community Tracking
- Venue
- Health Informatics Journal
- Publisher
- SAGE Publications
- Published
- 2007-06
- Volume
- 13
- Issue
- 2
- Pages
- 119-134
- ISSN
- 1355-4743 (ISSN-L)
- 1460-4582
- 1741-2811
- OpenAlex
- W2036991742
- Cited by
- 127
- References
- 25
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 6 · 2022: 4 · 2021: 5 · 2020: 7 · 2019: 12 · 2018: 5 · 2017: 5 · 2016: 4 · 2015: 7 · 2014: 18 · 2013: 14 · 2012: 10
- FWCI
- 13.50
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Health Informatics Journal (publishedVersion)
- PubMed (publishedVersion)
- Funders
- New York State Department of Health
- Agency for Healthcare Research and Quality
- University of California, Santa Barbara
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- electronic health records, EHR adoption, barriers to adoption, community physicians, conceptual model, concept mapping, standardization, interoperability, cost-benefit analysis, psychosocial barriers, diffusion of innovations
- MeSH terms
- Attitude to Computers, Diffusion of Innovation, Group Processes, Humans, Models, Theoretical, New York, Cluster Analysis, Medical Records Systems, Computerized
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
