Organizational complements to electronic health records in ambulatory physician performance: The role of support staff

Journal of the American Medical Informatics Association

Volumn 19, Issue 4, 2012, Pages 537-540

  Adler Milstein, Julia ^a   Jha, Ashish K ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMBULATORY CARE; ARTICLE; ELECTRONIC MEDICAL RECORD; FEMALE; HUMAN; MALE; MEDICAL STAFF; NURSE PRACTITIONER; PERFORMANCE; PHYSICIAN; PHYSICIAN ASSISTANT; SKILL;

AMBULATORY CARE INFORMATION SYSTEMS; EFFICIENCY, ORGANIZATIONAL; ELECTRONIC HEALTH RECORDS; FEMALE; HUMANS; INTERNAL MEDICINE; MALE; NURSE PRACTITIONERS; PERSONNEL STAFFING AND SCHEDULING; PHYSICIAN ASSISTANTS; PRACTICE MANAGEMENT, MEDICAL; UNITED STATES;

EID: 84865186664     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2011-000759     Document Type: Article

References (17)

1. Blumenthal D, Tavenner M. The "meaningful use" regulation for electronic health records. N Engl J Med 2010;363:501-4.
2. McCullough JS, Casey M, Moscovice I, et al. The effect of health information technology on quality in U.S. hospitals. Health Aff 2010;29:647-54.
3. Linder JA, Ma J, Bates DW, et al. Electronic health record use and the quality of ambulatory care in the United States. Arch Intern Med 2007;167:1400-5.
4. Himmelstein DU, Wright A, Woolhandler S. Hospital computing and the costs and quality of care: a national study. Am J Med 2010;123:40-6.
5. Zhou L, Soran CS, Jenter CA, et al. The relationship between electronic health record use and quality of care over time. J Am Med Inform Assoc 2009;16:457-64.
6. Welch WP, Bazarko D, Ritten K, et al. Electronic health records in four community physician practices: impact on quality and cost of care. J Am Med Inform Assoc 2007;14:320-8.
7. Brynjolfsson E. The productivity paradox of information technology. Commun ACM 1993;36:66-77.
8. Hitt LM, Wu DJ, Xiaoge Z. Investment in enterprise resource planning: business impact and productivity measures. J Manag Inform Syst 2002;19:71-98.
9. Bresnahan TF, Brynjolfsson E, Hitt LM. Information technology, workplace organization, and the demand for skilled labor: firm-level evidence*. Q J Econ 2002;117:339-76.
10. Brynjolfsson E, Hitt L. Information Technology and Organizational Design: Evidence from Micro Data. Cambridge, MA: Manuscript, MIT, 1998.
11. Hitt LM, Brynjolfsson E. Information technology and internal firm organization: an exploratory analysis. J Manag Inform Syst 1997;14:81-101.
12. Miller RH, West C, et al. The Value Of Electronic Health Records In Solo Or Small Group Practices. Health Affairs 2005;24:1127-37.
13. Keroack MA, Youngberg BJ, Cerese JL, et al. Organizational factors associated with high performance in quality and safety in academic medical centers. Acad Med 2007;82:1178-86.
14. Robinson JC, Williams T, Yanagihara D. Measurement of and reward for efficiency in California's pay-for-performance program. Health Aff 2009;28:1438-47.
15. DesRoches CM, Campbell EG, Rao SR, et al. Electronic health records in ambulatory care: a national survey of physicians. N Engl J Med 2008;359:50-60.
16. Li R, Simon J, Bodenheimer T, et al. Organizational factors affecting the adoption of diabetes care management processes in physician organizations. Diabetes Care 2004;27:2312-16.
17. Brynjolfsson E, Yang S. Information technology and productivity: a review of the literature. Adv Comput 1996;43:179-214.