Electronic health information system implementation models - A review

Studies in Health Technology and Informatics

Volumn 178, Issue , 2012, Pages 117-123

  Logan, Julia ^a  

^a PRINCESS MARGARET HOSPITAL FOR CHILDREN   (Australia)

Author keywords

Electronic health information systems; Implementation; Models

Indexed keywords

BIOASSAY; HYBRID INTEGRATED CIRCUITS; INFORMATION USE; MEDICAL COMPUTING; MODELS; PUBLIC HEALTH;

CLINICAL INFORMATION SYSTEM; COST SAVING; ELECTRONIC HEALTH; ELECTRONIC MEDICAL RECORD; IMPLEMENTATION; IMPLEMENTATION MODELS; TRACK RECORD;

MEDICAL INFORMATION SYSTEMS;

MASS COMMUNICATION; MEDICAL INFORMATICS; REVIEW; THEORETICAL MODEL;

DIFFUSION OF INNOVATION; MEDICAL INFORMATICS; MODELS, THEORETICAL;

EID: 84868291723     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-61499-078-9-117     Document Type: Conference Paper

References (40)

1. Houser SH, Johnson LA. Perceptions regarding electronic health record implementation among health information management professionals in Alabama: a statewide survey and analysis. Perspectives In Health Information Management / AHIMA, American Health Information Management Association. 2008;5:6-6.
2. van der Reis L. Lessons for the U.S. from the Netherland's National Electronic Medical Records System. eHealth International Journal. 2009;5(1):35-38.
3. Kaplan B, Harris-Salamone KD. Health IT success and failure: recommendations from literature and an AMIA workshop. Journal of the American Medical Informatics Association. 2009;16(3):291-99.
4. Keshavjee K BJ, Copen J, Lai J, Kucukyazici B, Lilani R, Holbrook AM. Best practices in EMR implementation: a systematic review. AMIA Annu Symp Proc. 2006:982.
5. Lorenzi NM NL, Weiss JB, Gadd CS, Unertl KM. Crossing the implementation chasm: a proposal for bold action. Journal of the American Medical Informatics Association. 2008 (Feb. 2008).
6. Mara P. Pulse + IT [Feature]. In: Continuity of care - do electronic health records matter?, Issue 11, 2009
7. Benson T. Why general practitioners use computers and hospital doctors do not-Part 2: scalability. British Medical Journal. 2002;325(9 November):1090-1093.
8. Aarts J, Doorewaard H, Berg M. Understanding implementation: the case of a computerized physician order entry system in a large Dutch university medical center. Journal of American Medical Informatics Association. 2004;11:207-16.
9. Scott T, Rundall TG, Vogt TM, Hsu J. Implementing an electronic medical record system: successes, failures, lesson. Oxford, UK: Radcliffe Publishing; 2007.
10. Ventakesh V, Bala H. Technology acceptance model 3 and a research agenda on interventions. Decision Sciences. 2008;39(2):273-315.
11. Davis FD. User acceptance of information technology: system characteristics, user perception and behavioural impacts. International Journal of Man-Machine Studies. 1993;38:475-487.
12. DeLone WH, McLean ER. The Delone and McLean model of information systems success: a ten-year update. Journal of Management Information Systems. 2003 Spring 2003;18(4):9-30.
13. Goodhue DL, Thompson RL. Task-Technology Fit and Individual Performance. MIS Quarterly. 1995.
14. Infoway CH. Benefits Evaluation Indicators Technical Report.
15. Pare G, Sicotte C, Jacques H. The effects of creating psychological ownership on physicians' acceptance of clinical information systems. Journal of the American Medical Informatics Association. 2006;13(2):197-205.
16. Lorenzi N, Smith J, Conner S, Campion T. The Success Factor Profile for clinical computer innovation. In: Fieschi Mea, editor. MedInfo Amsterdam. ISO Press; 2004
17. Kukafka R, Johnson SB, Linfante A, Allegrante JP. Grounding a new information technology implementation framework in behavioral science: a systematic analysis of the literature on IT use. Journal of Biomedical Informatics. 2003;36(3):218-227.
18. Saleem JJ, Russ AL, Sanderson P, Johnson TR, Zhang J, Sittig DF. Current challenges and opportunties for better integration of human factors research with development of clinical information systems. In: Yearbook of Medical Informatics 09: IMIA; 2009.
19. Lau F, Price M, K K. From benefits evaluation to clinical adoption: making sense of health information system success in Canada. Healthcare Quarterly. 2011;14(1):39-45.
20. Ludwick DA, Doucette J. Adopting electronic medical records in primary care: lessons learned from health information systems implementation experience in seven countries. International Journal of Medical Informatics. 2009;78:22-31.
21. Delone W, McLean E. Information systems success: The quest for the dependent variable. Information Systems Research. 1992;3:60-95.
22. Ammenwerth E, Iller C, Mahler C. IT-adoption and the interaction of task, technology and individuals: a fit framework and a case study. BMC Medical Informatics and Decision Making. 2006;6(3).
23. Chau PKK, Hu PJ. Examining a model of information technology acceptance by individual professionals: an exploratory study. Journal of Management Information Systems. 2002;18(4):191-229.
24. Callen JL, Brathwaite J, Westbrook JI. Contextual implementation model: a framework for assisting clinical information system implementations. Journal of the American Medical Informatics Association. 2008;15(2):255-262.
25. Greenhalgh T, Stramer K, Bratan T, Byrne E, Mohammad Y, Russell J. Introduction of shared electronic records: multi-site case study using diffusion of innovation theory. British Medical Journal. 2008;337(1786).
26. Handy J, Whidden R, Hunter I. A technology acceptance model for inter-organisational electronic medical record systems. American Journal of Information Systems. 2001 September;9(1).
27. Schaper LK, Pervan GP. ICT and OTs: A model of information and communication technology acceptance and utilisation by occupational therapists. International Journal of Medical Informatics. 2007;76S:S212-S221.
28. Yusof MM, Kuljis J, Papazafeiropoulou A, Stergioulas LK. An evaluation framework for Health Information Systems: human, organization and technology-fit factors (HOT-fit). International Journal Of Medical Informatics. 2008;77(6):386-398.
29. Su Y, Win K, Fulcher J, Chiu H. Measuring end-users' opinions for establishing a user-centered Electronic Health record (EHR) system from the perspective of nurses. Journal of Theoretical and Applied Electronic Commerce Research. 2009;4(2):55-63.
30. Davis M. Stage 6 Hospitals: The journey and the accomplishments 2007: Available from: http://www.himssanalytics.org/docs/stage6whitepaper.pdf.
31. Ovretveit J, Scott T, Rundall TG, Shortell SM, Brommels M. Implementation of electronic medical records in hospitals: two case studies. Health Policy (Amsterdam, Netherlands). 2007;84(2-3):181-190.
32. Keshavjee K, Troyan S, Holbrook AM, VanderMolen D. Measuring the success of electronic medical record implementation using electronic and survey data. Annual Symposium Proceedings / AMIA Symposium. 2001:309-313.
33. Davis FD. Perceived Usefulness, Perceived Ease Of Use, And User Acceptance Of Information Technology. MIS Quarterly. 1989 Sept.;13(3):318, 23p.
34. Rogers EM. The Diffusion of Innovation. Fourth ed. New York: Free Press; 1995.
35. Keshavjee K, Bosomworth J, Copen J, Lai J, Kucukyazici B, Lilani R, et al. Best practices in EMR implementation: a systematic review. AMIA Annu Symp Proc. 2006:982.
36. Heeks R. Health information systems: failure, success and improvisation. International Journal of Medical Informatics. 2005;75:125-137.
37. Green L, Kreuter M. Health promotion planning: an educational and ecological approach. CA: Mayfield: Mountain View; 1999.
38. Sward K, Orme J, Sorenson D, Baumann L, Morris A. Reasons for declining computerized insulin protocol recommendations: application of a framework. Journal Of Biomedical Informatics. 2008;41(3):488-497.
39. Sorensen A, Harrison M, Kane H, Roussel A, Halpern M. From research to practice: factors affecting implementation of prospective targeted injury-detection systems. BMJ Quality and Safety. 2011;20:527-533.
40. Hillestad R, Bigelow J, Bower A, Girosi F, Meili R, Scoville R, et al. Can Electronic Medical Record Systems Transform Health Care? Potential Health Benefits, Savings, And Costs. Health Affairs. 2005;24(5):1103-1117.