Overcoming challenges to achieving meaningful use: Insights from hospitals that successfully received centers for medicare and medicaid services payments in 2011

Journal of the American Medical Informatics Association

Volumn 20, Issue 2, 2013, Pages 233-237

  Harle, Christopher A ^a   Huerta, Timothy R ^b   Ford, Eric W ^c   Diana, Mark L ^d   Menachemi, Nir ^e  

^a UNIVERSITY OF FLORIDA   (United States)

^b TEXAS TECH UNIVERSITY   (United States)

^c UNIVERSITY OF NORTH CAROLINA AT GREENSBORO   (United States)

^d TULANE UNIVERSITY   (United States)

^e UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPUTERIZED PROVIDER ORDER ENTRY; CROSS-SECTIONAL STUDY; ELECTRONIC MEDICAL RECORD; HEALTH CARE ORGANIZATION; HOSPITAL BED CAPACITY; HOSPITAL MANAGEMENT; HUMAN; MEDICAID; MEDICARE; PROSPECTIVE PAYMENT; REIMBURSEMENT; RURAL AREA; TEACHING HOSPITAL; URBAN AREA;

CENTERS FOR MEDICARE AND MEDICAID SERVICES (U.S.); CROSS-SECTIONAL STUDIES; ELECTRONIC HEALTH RECORDS; FINANCIAL MANAGEMENT, HOSPITAL; HEALTH CARE SURVEYS; HUMANS; LOGISTIC MODELS; MEANINGFUL USE; MEDICAL ORDER ENTRY SYSTEMS; MULTIVARIATE ANALYSIS; REIMBURSEMENT, INCENTIVE; UNITED STATES;

EID: 84874787694     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2012-001142     Document Type: Article

References (25)

1. Blumenthal D, Tavenner M. The meaningful use regulation for electronic health records. N Engl J Med 2010;363:501-4.
2. American Hospital Association. Forward momentum - hospital use of information technology. 2005. http://www.aha.org/content/00-10/FINALNonEmbITSurvey105.pdf (accessed 31 May 2012).
3. Ash JS, Bates DW. Factors and forces affecting EHR system adoption: report of a 2004 ACMI discussion. J Am Med Inform Assoc 2005;12:8-12.
4. Jha AK, Desroches CM, Campbell EG, et al. Use of electronic health records in U. S. Hospitals. N Engl J Med 2009;360:1628-38.
5. Thakkar M, Davis DC. Risks, barriers, and benefits of EHR systems: a comparative study based on size of hospital. Perspect HIM 2006;3:5.
6. Centers for Medicare and Medicaid Services. EHR incentive programs-data and reports. 2012. https://www.cms.gov/EHRIncentivePrograms/56_DataAndReports.asp (accessed 30 Mar 2012).
7. Boonstra A, Broekhuis M. Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions. BMC Health Serv Res 2010;10:231. doi:10.1186/1472-6963-10-231.
8. Kazley AS, Ozcan YA. Organizational and environmental determinants of hospital EMR adoption: a national study. J Med Syst 31:375-84. doi:10.1007/ s10916-007-9079-7.
9. American Hospital Association. Hospital EHR adoption database 2011 release: a supplement to the annual survey database, 2011.
10. Greene WH. Econometric analysis, 5th edn. Upper Saddle River, NJ: Prentice Hall, 2003.
11. Centers for Medicare and Medicaid Services. Medicare and medicaid programs; electronic health record incentive program-stage 2. 2012. http://www.gpo.gov/fdsys/pkg/FR-2012-03-07/pdf/2012-4443.pdf (accessed 31 May 2012).
12. Rosenthal MB, Frank RG, Li Z, et al. Early experience with pay-for-performance. JAMA 2005;294:1788-93.
13. Werner RM, Kolstad JT, Stuart EA, et al. The effect of pay-for-performance in hospitals: lessons for quality improvement. Health Aff (Millwood) 2011;30: 690-8.
14. Kaushal R, Shojania KG, Bates DW. Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review. Arch Intern Med 2003;163:1409-16.
15. Reckmann MH, Westbrook JI, Koh Y, et al. Does computerized provider order entry reduce prescribing errors for hospital inpatients? A systematic review. J Am Med Inform Assoc 2009;16:613-23.
16. van Rosse F, Maat B, Rademaker CMA, et al. The effect of computerized physician order entry on medication prescription errors and clinical outcome in pediatric and intensive care: a systematic review. Pediatrics 2009;123:1184-90.
17. Yu FB, Menachemi N, Berner ES, et al. Full implementation of computerized physician order entry and medication-related quality outcomes: a study of 3364 hospitals. Am J Med Qual 2009;24:278-86.
18. Jha AK, Desroches CM, Kralovec PD, et al. A progress report on electronic health records in US hospitals. Health Aff (Millwood) 2010;29:1951-7.
19. Poon EG, Blumenthal D, Jaggi T, et al. Overcoming barriers to adopting and implementing computerized physician order entry systems in US hospitals. Health Aff (Millwood) 2004;23:184-90.
20. Rask K, Culler S, Scott T, et al. Adopting national quality forum medication safe practices: progress and barriers to hospital implementation. J Hosp Med 2007;2:212-18.
21. Ash JS, Sittig DF, Dykstra RH, et al. Categorizing the unintended sociotechnical consequences of computerized provider order entry. Int J Med Inf 2007;76:S21-7.
22. Campbell EM, Sittig DF, Ash JS, et al. Types of unintended consequences related to computerized provider order entry. J Am Med Inform Assoc 2006;13:547-56.
23. Beeuwkes Buntin M, Burke MF, Hoaglin MC, et al. The benefits of health information technology: a review of the recent literature shows predominantly positive results. Health Aff (Millwood) 2011;30:464-71.
24. Chaudhry B, Wang J, Wu S, et al. Systematic review: impact of health information technology on quality, efficiency, and costs of medical care. Ann Intern Med 2006;144:742-52.
25. Goldzweig CL, Towfigh A, Maglione M, et al. Costs and benefits of health information technology: New trends from the literature. Health Aff (Millwood) 2009;28:w282-93.