Medical student awareness of and interest in clinical informatics
Open accessAbstract
Objective We aimed to investigate medical students’ attitudes about Clinical Informatics (CI) training and careers. Materials and Methods We distributed a web-based survey to students at four US allopathic medical schools. Results Five hundred and fifty-seven medical students responded. Interest in CI training opportunities (medical school electives, residency electives, or academic fellowships) surpassed respondents’ prior awareness of these opportunities. Thirty percent of student respondents expressed at least some interest in a CI-related career, but they were no more aware of training opportunities than their peers who did not express such an interest. Discussion Almost one third of medical students who responded to our survey expressed an interest in a CI-related career, but they were generally unaware of CI training and mentoring opportunities available to them. Early outreach to such medical students, through elective classes, professional society incentives, or expert partnerships, may positively influence the size and skill set of the future CI workforce. Conclusion We should work as a field to increase the quantity, quality, and publicity of CI learning opportunities for interested medical students.
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?
A 2015 publication noted that 30% of US medical students surveyed had interest in clinical informatics but were not able to identify training opportunities to help.
“A 2015 publication noted that 30% of US medical students surveyed had interest in clinical informatics, but were not able to identify training opportunities to help. 57”
From Educating Future Physicians in Artificial Intelligence (AI): An Integrative Review and Proposed Changes (2021) · cites this paper as [57]
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
The Smartphone in Medicine: A Review of Current and Potential Use Among Physicians and Students
Ozdalga, E., Ozdalga, A., & Ahuja, N. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.1994 · Cited by 654 · see citing works
Payne, K. F. B., Wharrad, H. J., & Watts, K. (2012) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-12-121 · Cited by 589 · see citing works
Impact of Medical Student Research in the Development of Physician-Scientists
Solomon, S. S., Tom, S. C., Pichert, J. W., et al. (2003) · Journal of Investigative Medicine · doi:10.1136/jim-51-03-17 · Cited by 290 · see citing works
Hsiao, C., & Hing, E. (2014) · PubMed · Cited by 287 · see citing works
Boruff, J. T., & Storie, D. (2014) · Journal of the Medical Library Association JMLA · doi:10.3163/1536-5050.102.1.006 · Cited by 282 · see citing works
Block, L., Habicht, R. J., Wu, A. W., Desai, S. V., Wang, K., Silva, K. N., Niessen, T. M., Oliver, N. T., & Feldman, L. S. (2013) · Journal of General Internal Medicine · doi:10.1007/s11606-013-2376-6 · Cited by 275 · see citing works
Web 2.0 technologies for undergraduate and postgraduate medical education: an online survey
Sandars, J., & Schroter, S. (2007) · Postgraduate Medical Journal · doi:10.1136/pgmj.2007.063123 · Cited by 219 · see citing works
A review of analytics and clinical informatics in health care
Simpao, A. F., Ahumada, L. M., Gálvez, J. A., & Rehman, M. A. (2014) · Journal of Medical Systems · doi:10.1007/s10916-014-0045-x · Cited by 154 · see citing works
Fang, D., & Meyer, R. E. (2003) · Academic Medicine · doi:10.1097/00001888-200312000-00017 · Cited by 151 · see citing works
Hsiao, C., & Hing, E. (2012) · PubMed · Cited by 137 · see citing works
Impact of Medical Student Research in the Development of Physician-Scientists
Solomon, S. S., Tom, S. C., Pichert, J. W., Wasserman, D. H., & Powers, A. C. (2003) · Journal of Investigative Medicine · doi:10.1177/108155890305100317 · Cited by 128 · see citing works
Green, E. P., Borkan, J. M., Pross, S. H., et al. (2010) · Academic Medicine · doi:10.1097/acm.0b013e3181cd3e00 · Cited by 120 · see citing works
Hersh, W., Gorman, P., Biagioli, F. E., Mohan, V., Gold, J. A., & Mejicano, G. C. (2014) · Advances in Medical Education and Practice · doi:10.2147/amep.s63903 · Cited by 92 · see citing works
Contemporary issues in medicine–medical informatics and population health
&NA; (1999) · Academic Medicine · doi:10.1097/00001888-199902000-00012 · Cited by 92 · see citing works
Haggerty, K. A., Beaty, C. A., George, T. J., et al. (2014) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2014.02.029 · Cited by 87 · see citing works
Twelve tips for teachers to encourage student engagement in academic medicine
McLean, A. L., Saunders, C., Velu, P. P., et al. (2013) · Medical Teacher · doi:10.3109/0142159x.2013.775412 · Cited by 64 · see citing works
Detmer, D. E., Munger, B. S., & Lehmann, C. U. (2010) · Applied Clinical Informatics · doi:10.4338/aci-2009-11-r-0016 · Cited by 58 · see citing works
Detmer, D. E., & Shortliffe, E. H. (2014) · JAMA · doi:10.1001/jama.2014.3514 · Cited by 58 · see citing works
Long-term impact of a preclinical endovascular skills course on medical student career choices
Lee, J. T., Son, J., Chandra, V., et al. (2011) · Journal of Vascular Surgery · doi:10.1016/j.jvs.2011.04.052 · Cited by 57 · see citing works
Biomedical Informatics in the Education of Physicians
Shortliffe, E. H. (2010) · JAMA · doi:10.1001/jama.2010.1262 · Cited by 57 · see citing works
Educating medical students as competent users of health information technologies: the MSOP data.
McGowan, J. J., Passiment, M., & Hoffman, H. (2007) · PubMed · Cited by 47 · see citing works
Refocusing Medical Education in the EMR Era
Pageler, N. M., Friedman, C. P., & Longhurst, C. (2013) · JAMA · doi:10.1001/jama.2013.282326 · Cited by 47 · see citing works
Amorosa, J., Mellman, L. A., & Graham, M. J. (2011) · Medical Teacher · doi:10.3109/0142159x.2010.531154 · Cited by 42 · see citing works
Health Professionals' Views of Informatics Education: Findings from the AMIA 1999 Spring Conference
Staggers, N., Gassert, C. A., & Skiba, D. J. (2000) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2000.0070550 · Cited by 42 · see citing works
Mendiola, M. S., Martínez-Franco, A. I., Rosales-Vega, A., et al. (2012) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000796 · Cited by 37 · see citing works
Health information technology and the medical school curriculum.
Triola, M. M., Friedman, E., Cimino, C., et al. (2010) · PubMed · Cited by 36 · see citing works
Electronic health records and resident workflow: A time-motion study of otolaryngology residents
Victores, A. J., Coggins, K. G., & Takashima, M. (2014) · The Laryngoscope · doi:10.1002/lary.24848 · Cited by 33 · see citing works
Students' and Residents' Perceptions Regarding Technology in Medical Training
Briscoe, G. W., Fore-Arcand, L., Lin, T., Johnson, J., Rai, A., & Kollins, K. (2006) · Academic Psychiatry · doi:10.1176/appi.ap.30.6.470 · Cited by 33 · see citing works
Tablet Computer Use by Medical Students in the United States
ROBINSON, R. L., & Burk, M. S. (2013) · Journal of Medical Systems · doi:10.1007/s10916-013-9959-y · Cited by 33 · see citing works
(2009) · PubMed · Cited by 23 · see citing works
Evaluating the AMIA-OHSU 10x10 program to train healthcare professionals in medical informatics.
Feldman, S. S., & Hersh, W. (2008) · PubMed Central · Cited by 22 · see citing works
The NIH National Center for Integrative Biomedical Informatics (NCIBI)
Athey, B. D., Cavalcoli, J. D., Jagadish, H. V., Omenn, G. S., Mirel, B., Kretzler, M., Burant, C., Isokpehi, R. D., & DeLisi, C. (2011) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000552 · Cited by 19 · see citing works
Can Brief Interventions by Hand Surgeons Influence Medical Students Toward a Career in Hand Surgery?
Smith, A. A., Duncan, S. F. M., & Esparra, B. C. (2007) · The Journal Of Hand Surgery · doi:10.1016/j.jhsa.2007.06.004 · Cited by 16 · see citing works
Assessing medical informatics confidence among 1st and 2nd year medical students.
Krause, N. D., Roulette, G. D., Papp, K. K., & Kaelber, D. C. (2006) · PubMed Central · Cited by 15 · see citing works
Should Medical Schools Incorporate Formal Training in Informatics?
Chen, M. J., Safdar, N. M., & Nagy, P. G. (2009) · Journal of Imaging Informatics in Medicine · doi:10.1007/s10278-009-9249-x · Cited by 13 · see citing works
Burgun, A., Darmoni, S. J., Duff, F. L., & Weber, J. (2005) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2005.07.014 · Cited by 13 · see citing works
The pathology student fellowship program at the University of Vermont: 1956-2005
MacPherson, B. R. (2005) · Human Pathology · doi:10.1016/j.humpath.2005.08.012 · Cited by 13 · see citing works
Medical informatics in the curriculum: development and delivery of an online elective
Burnette, P., Groote, S. L. D., & Dorsch, J. L. (2012) · Journal of the Medical Library Association JMLA · doi:10.3163/1536-5050.100.1.011 · Cited by 11 · see citing works
Are students ready for meaningful use?
Ferenchick, G. S., Solomon, D., Mohmand, A., et al. (2013) · Medical Education Online · doi:10.3402/meo.v18i0.22495 · Cited by 10 · see citing works
President's column: AMIA's policy priorities for 2014
Middleton, B. (2014) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2014-002809 · Cited by 8 · see citing works
Medical students' perspectives on biomedical informatics learning objectives
Beaudoin, D. E., Richardson, S., Sheng, X., et al. (2013) · International Journal of Medical Education · doi:10.5116/ijme.50ce.316b · Cited by 6 · see citing works
Medical School Electives and Recruitment Into Psychiatry
Weintraub, W., Plaut, S. M., & Weintraub, E. (1996) · Academic Psychiatry · doi:10.1007/bf03341884 · Cited by 5 · see citing works
McCarthy, N., O’Flynn, S., Murphy, J. T., et al. (2013) · International Maritime Health · doi:10.5603/imh.2013.0004 · Cited by 5 · see citing works
Careers in informatics: a diversity of options with an abundance of jobs
Ohno‐Machado, L. (2012) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-001363 · Cited by 4 · see citing works
Diving and hyperbaric medicine: an undergraduate's experience.
Pollock, N. W., & Buzzacott, P. L. (2014) · PubMed · Cited by 4 · see citing works
Keyboard Data Entry Use Among Osteopathic Medical Students and Residents
Helstrom, J. M., Langenau, E. E., Sandella, J. M., et al. (2014) · Journal of Osteopathic Medicine · doi:10.7556/jaoa.2014.053 · Cited by 3 · see citing works
Flagged first, then by citations
Research works printed but not linked: 4
- AAMC. Medical Informatics and Population Health: Report II of the Medical School Objectives Project. Acad Med. 1999; 74(2):130-141.
- McGowan JJ, Passiment M, Hoffman HM. Educating Medical Students as Competent Users of Health Information Technologies. Stud Health Technol Inform. 2007;129: 1414-1418.
- Briscoe GW, Arcand LGF, Lin T, et al. Students' and resi- dents' perceptions regrading technology in medical training. Acad Psych. 2006;30(6):470-479.
- Beaudoin DE, Richardson SJ, Sheng X, et al. Medical stu- dents' perspectives on biomedical informatics learning ob- jectives. Int J Med Ed. 2013;4:1-8.
Cited by
Sorted by citations
Grunhut, J., Wyatt, A. T., & Marques, O. (2021) · Journal of Medical Education and Curricular Development · doi:10.1177/23821205211036836 · Cited by 161 · see citing works
“57 These knowledge gaps, however, should not be solely characterized in a negative fashion, as they also present important opportunities for new Employing a new cohort of educators with skills in new areas is necessary but also innovative.”
BackgroundRingeval, M., Raymond, L., Pomey, M.-P., & Paré, G. (2025) · Journal of Medical Internet Research · doi:10.2196/64804 · Cited by 4 · see citing works
- Authors
- Banerjee, R., George, P., Priebe, C., & Alper, E.
- Affiliations
- Hospital of the University of Pennsylvania (US)
- Brown University (US)
- Brigham and Women's Hospital (US)
- Lifespan (US)
- Venue
- Journal of the American Medical Informatics Association
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-02-28
- Volume
- 22
- Issue
- e1
- Pages
- e42-e47
- ISSN
- 1067-5027 (ISSN-L)
- 1527-974X
- PMC
- PMC7659213
- OpenAlex
- W2104211679
- Cited by
- 29
- References
- 47
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 1 · 2023: 4 · 2022: 6 · 2021: 2 · 2019: 3 · 2018: 1 · 2017: 3 · 2016: 1
- FWCI
- 1.78
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of the American Medical Informatics Association (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Brown University
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health and Medical Research Impacts
- Keywords
- clinical informatics, medical students, career interest, training opportunities, awareness, academic fellowships, workforce development, student outreach
- MeSH terms
- Attitude, Career Choice, Education, Medical, Undergraduate, Fellowships and Scholarships, Medical Informatics, Schools, Medical, Students, Medical, United States
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