Anticipating mismatches of HIT investments: Developing a viability-fit model for e-health services

International Journal of Medical Informatics

Volumn 85, Issue 1, 2015, Pages 104-115

  Mettler, Tobias ^a  

^a UNIVERSITY OF ST GALLEN   (Switzerland)

Author keywords

Decision making; E health; Health information technology; Implementation research; Investment decision; Mixed methods approach; Portfolio; Viability fit model

Indexed keywords

DECISION MAKING; INVESTMENTS;

E HEALTH; HEALTH INFORMATION TECHNOLOGIES; IMPLEMENTATION RESEARCHES; INVESTMENT DECISIONS; MIXED METHOD; PORTFOLIO;

HEALTH;

ARTICLE; DECISION MAKING; HEALTH CARE PLANNING; HEALTH SERVICE; MEDICAL INFORMATICS; PRIORITY JOURNAL; TELEMEDICINE; THEORETICAL MODEL;

MEDICAL INFORMATICS; MODELS, THEORETICAL;

EID: 84951299731     PISSN: 13865056     EISSN: 18728243     Source Type: Journal    
DOI: 10.1016/j.ijmedinf.2015.10.002     Document Type: Article

References (90)

1. European Policy Centre Europe's Political Economy-Coalition for Health, Ethics and Society 2013, European Policy Centre, Brussels, (CHES).
2. Goldschmidt P.G. HIT and MIS: implications of health information technology and medical information systems. Commun. ACM 2005, 48:68-74.
3. Khoumbati K., Themistocleous M., Irani Z. Evaluating the adoption of enterprise application integration in health-care organizations. J. Manage. Inf. Syst. 2006, 22:69-108.
4. LeRouge C., Hevner A.R., Collins R.W. It's more than just use: an exploration of telemedicine use quality. Decis. Support Syst. 2007, 43:1287-1304.
5. Eysenbach G. What is e-health?. J. Med. Internet Res. 2001, 3:e20.
6. World Health Organization eHealth: Report by the Secretariat 2005, World Health Organization, Geneva.
7. Bates D.W., Gawande A.A. Improving safety with information technology. N. Engl. J. Med. 2003, 348:2526-2534.
8. Vaitheeswaran V. Medicine goes digital: a special report on health care and technology. Economist 2009, 391:3-16.
9. European Commission, Europe's Information Society, 2013. http://ec.europa.eu/digital-agenda/en/news/ehealth-studies-overview.
10. Blinn N., Kühne M. Health information on the internet-state of the art and analysis. Bus. Inf. Syst. Eng. 2013, 5:259-274.
11. Thouin M.F., Hoffman J.J., Ford E.W. The effect of information technology investment on firm-level performance in the health care industry. Health Care Manage. Rev. 2008, 33:60-68.
12. Hillestad R., Bigelow J., Bower A., Girosi F., Meili R., Scoville R., Taylor R. Can electronic medical record systems transform health care? Potential health benefits, savings, and costs. Health Affairs 2005, 24:1103-1117.
13. Miller R.H., West C., Martin Brown T., Sim I., Ganchoff C. The value of electronic health records in solo or small group practices. Health Affairs 2005, 24:1127-1137.
14. Eastaugh S.R. Health information technology impact on productivity. J. Health Care Finance 2012, 39:64-81.
15. Lapointe L., Mignerat M., Vedel I. The IT productivity paradox in health: a stakeholder's perspective. Int. J. Med. Inf. 2011, 80:102-115.
16. Jones S.S., Heaton P.S., Rudin R.S., Schneider E.C. Unraveling the IT productivity paradox-lessons for health care. N. Engl. J. Med. 2012, 366:2243-2245.
17. Brynjolfsson E. The productivity paradox of information technology. Commun. ACM 1993, 36:66-77.
18. Lee J., McCullough J.S., Town R.J. The Impact of Health Information Technology on Hospital Productivity 2012, National Bureau of Economic Research, Cambridge, MA.
19. Buntin M., Burke M., Hoaglin M., Blumenthal D. The benefits of health information technology: a review of the recent literature shows predominantly positive results. Health Affairs 2011, 30:464-471.
20. Payton F.C., Paré G., LeRouge C., Reddy M. Health care IT: processes, people, patients, and interdisciplinary considerations. J. Assoc. Inf. Syst. 2011, 12:i-xiii.
21. Shaw M.C., Stahl B.C. On quality and communication: the relevance of critical theory to health informatics. J. Assoc. Inf. Syst. 2011, 12:255-273.
22. Aanestad M., Jensen Blegind T. Building nation-wide information infrastructures in healthcare through modular implementation strategies. J. Strateg. Inf. Syst. 2011, 20:161-176.
23. Orlikowski W.J., Scott S.V. Sociomateriality: challenging the separation of technology, work and organization. Ann. Acad. Manage. 2008, 2:433-474.
24. Ash J.S., Berg M., Coiera E. Some unintended consequences of information technology in health vare: the nature of patient care information system-related errors. J. Am. Med. Inf. Assoc. 2004, 11:104-112.
25. Ellingsen G., Monteiro E., Røed K. Integration as interdependent workaround. Int. J. Med. Inf. 2015, 82:e161-e169.
26. Leonardi P.M. When flexible routines meet flexible technologies: affordance, constraint, and the imbrication of human and material agencies. MIS Q. 2011, 34:147-167.
27. Fayard A.-L., Weeks J. Affordances for practice. Inf. Organ. 2014, 24:236-249.
28. Kjærgaard A.L., Blegind Jensen T. Using cognitive mapping to represent and share user's interpretations of technology. Commun. AIS 2014, 34:1097-1114.
29. DeLone W.H., McLean E.R. Information systems success: the quest for the dependent variable. Inf. Syst. Res. 1992, 3:60-95.
30. Au N., Ngai E., Cheng E. A critical review of end-user information system satisfaction research and a new research framework. Omega 2002, 30:451-478.
31. Nevo D., Wade M.R. How to avoid disappointment by design. Commun. ACM 2007, 50:43-48.
32. Agarwal R., Prasad J. The antecedents and consequents of user perceptions in information technology adoption. Decis. Support Syst. 1998, 22:15-29.
33. Cooper R.B., Zmud R.W. Information technology implementation research: a technological diffusion approach. Manage. Sci. 1990, 36:123-139.
34. Tjan A.K. Finally, a way to put your Internet portfolio in order. Harv. Bus. Rev. 2001, 79:76-85.
35. Liang T.-P., Wei C.-P. Introduction to the special issue: mobile commerce applications. Int. J. Electron. Commerce 2004, 8:7-17.
36. Liang T.-P., Huang C.-W., Yeh Y.-H., Lin B. Adoption of mobile technology in business: a fit-viability model. Ind. Manage. Data Syst. 2007, 107:1154-1169.
37. Turban E., Bolloju N., Liang T.-P. Enterprise social networking: opportunities, adoption, and risk mitigation. J. Organ. Comput. Electron. Commerce 2011, 21:202-220.
38. Turban E., Liang T.-P., Wu S.P.J. A framework for adopting collaboration 2.0 tools for virtual group decision making. Group Decis. Negotiation 2011, 20:137-154.
39. Mettler T. Post-acceptance of electronic medical records: evidence from a longitudinal field study. Proceedings of the 33rd International Conference on Information Systems 2012, pp1-19.
40. Shaw N., Manwani S. Extending feature usage: a study of the post-adoption of electronic medical records. 19th European Conference on Information Systems 2011, pp1-12.
41. Miller R.H., Sim I. Physicians' use of electronic medical records: barriers and solutions. Health Affairs 2004, 23:116-126.
42. Morton M., Wiedenbeck S. EHR acceptance factors in ambulatory care: a survey of physician perceptions. Perspect. Health Inf. Manage. 2010, 7:1c.
43. Lucas H.C. Performance and the use of an information system. Manage. Sci. 1975, 21:908-919.
44. Yusof M.M., Kuljis J., Papazafeiropoulou A., Stergioulas L.K. An evaluation framework for health information systems: human, organization and technology-fit factors (HOT-fit). Int. J. Med. Inf. 2008, 77:386-398.
45. Soh C., Sia S.K., Tay-Yap J. Cultural fits and misfits: is ERP a universal solution?. Commun. ACM 2000, 43:47-51.
46. Fitterer R., Mettler T., Rohner P., Winter R. Taxonomy for multi-perspective assessment of the value of health information systems. Int. J. Healthcare Technol. Manage. 2011, 12:45-61.
47. van der Meijden M.J., Tange H.J., Troost J., Hasman A. Determinants of success of inpatient clinical information systems: a literature review. J. Am. Med. Inf. Assoc. 2003, 10:235-243.
48. Lorenzi N.M., Riley R.T. Organizational issues = change. Int. J. Med. Inf. 2003, 69:197-203.
49. Strong D.M., Volkoff O. Understanding organization-enterprise system fit: a path to theorizing the information technology artifact. MIS Q. 2010, 34:731-756.
50. Connell N.A.D., Young T.P. Evaluating healthcare information systems through an enterprise perspective. Inf. Manage. 2007, 44:433-440.
51. Palomino Murcia M.A., Whitley E.A. The effects of national culture on ERP implementation: a study of Colombia and Switzerland. Enterp. Inf. Syst. 2007, 1:301-325.
52. Png I.P.L., Tan B.C.Y., Khai-Ling W. Dimensions of national culture and corporate adoption of IT infrastructure. IEEE Trans. Eng. Manage. 2001, 48:36-45.
53. Fang X., Benamati J., Lederer A.L. Coping with rapid information technology change in different national cultures. Eur. J. Inf. Syst. 2011, 20:560-573.
54. Bloor G., Dawson P. Understanding professional culture in organizational context. Organ. Stud. 1994, 15:275-295.
55. Glouberman S., Mintzberg H. Managing the care of health and the cure of disease - Part 1: differentation. Health Care Manage. Rev. 2001, 26:56-86.
56. Anderson J.G. Social, ethical and legal barriers to e-health. Int. J. Med. Inf. 2007, 76:480-483.
57. Aier S., Winter R. Virtual decoupling for IT/business alignment-conceptual foundations, architecture design and implementation example. Bus. Inf. Syst. Eng. 2009, 1:150-163.
58. Mercuri R.T. The HIPAA-potamus in health care data security. Commun. ACM 2004, 47:25-28.
59. Zafar H., Sneha S. Ubiquitous healthcare information system: toward crossing the security chasm. Commun. AIS 2012, 31:193-206.
60. Ramanujam R., Rousseau D.M. The challenges are organizational not just clinical. J. Organ. Behav. 2006, 27:811-827.
61. Mettler T., Raptis D. What constitutes the field of health information systems? Fostering a systematic framework and research agenda. Health Inf. J. 2012, 18:147-156.
62. Chiasson M.W., Davidson E. Pushing the contextual envelope: developing and diffusing IS theory for health information systems research. Inf. Organ. 2004, 14:155-188.
63. Sutton B. Playful cards, serious talk: a qualitative research technique to elicit women's embodied experiences. Qual. Res. 2011, 11:177-196.
64. Marshall M.N. Sampling for qualitative research. Family Pract. 1996, 13:522-526.
65. Mantzana V., Themistocleous M., Irani Z., Morabito V. Identifying healthcare actors involved in the adoption of information systems. Eur. J. Inf. Syst. 2007, 16:91-102.
66. Kaiser H.F., Rice J. Little Jiffy, Mark IV. Educ. Psychol. Meas. 1974, 34:111-117.
67. Goroll A.H., Simon S.R., Tripathi M., Ascenzo C., Bates D.W. Community-wide implementation of health information technology: the Massachusetts ehealth collaborative experience. J. Am. Med. Inf. Assoc. 2009, 16:132-139.
68. Poissant L., Pereira J., Tamblyn R., Kawasumi Y. The impact of electronic health records on time efficiency of physicians and nurses: a systematic review. J. Am. Med. Inf. Assoc. 2005, 12:505-516.
69. Hennington A.H., Janz B.D. Physician adoption of electronic medical records: applying the UTUAT model in a healthcare vontext. Commun. AIS 2007, 19:60-80.
70. Devaraj S., Kohli R. Information technology payoff in the health-care industry: a longitudinal study. J. Manage. Inf. Syst. 2000, 16:41-67.
71. Pitt L.F., Jeantrout B. Management of customer expectations in service firms: a study and a checklist. Serv. Ind. J. 1994, 14:170-189.
72. Parasuraman A., Berry L.L., Zeithaml V.A. Understanding customer of expectations of service. Sloan Manage. Rev. 1991, 32:39-48.
73. Nash M.G., Blackwood D., Boone E.B.I., Klar R., Lewis E., Maclnnis K., McKay J., Okress J., Richer S., Tannas C. Managing expectations between patient and nurse. J. Nurs. Admin. 1994, 24:49-55.
74. O'Connor S.J., Trinh H.Q., Shewchuk R.M. Perceptual gaps in understanding patient expectations for health care service quality. Health Care Manage. Rev. 2000, 25:7-23.
75. Ginzberg M.J. Early diagnosis of MIS implementation failure: promising results and unanswered questions. Manage. Sci. 1981, 27:459-478.
76. C. Lawer, Why the UK's GBP 12.4bn NHS ehealth Record Management System Failed. 2011. Available from: http://www.zinc-healthcare.com/blogpost/why-the-uks-nhs-ehealth-record-management-technologies-failed.
77. Rogers E.M. Diffusion of Innovations 2003, Free Press, New York.
78. Venkatesh V., Goyal S. Expectation disconfirmation and technology adoption: polynomial modeling and response surface analysis. MIS Q. 2010, 34:281-303.
79. Moore G.C., Benbasat I. Development of an instrument to measure the perceptions of adopting an information technology innovation. Inf. Syst. Res. 1991, 2:192-222.
80. MacKenzie S.B., Podsakoff P.M., Podsakoff N.P. Construct measurement and validation procedures in MIS and behavioral research: integrating new and existing techniques. MIS Q. 2011, 35:293-334.
81. Gunter T.D., Terry N.P. The emergence of national electronic health record architectures in the United States and Australia: models, costs, and questions. J. Med. Internet Res. 2005, 7:e3.
82. Häyrinen K., Saranto K., Nykänen P. Definition, structure, content, use and impacts of electronic health records: a review of the research literature. Int. J. Med. Inf. 2008, 77:291-304.
83. Hoerbst A., Ammenwerth E. Electronic health records: a systematic review on quality requirements. Methods Inf. Med. 2010, 49:320-336.
84. Barnes S.L., Campbell D.A., Stockman K.A., Wunderlink D. From theory to practice of electronic handover. Aust. Health Rev. 2011, 35:384-391.
85. Lyhne S., Georgiou A., Marks A., Tariq A., Westbrook J.I. Towards an understanding of the information dynamics of the handover process in aged care settings-a prerequisite for the safe and effective use of ICT. Int. J. Med. Inf. 2012, 81:452-460.
86. Raptis D., Fernandes C., Chua W., Boulos P.B. Electronic software significantly improves quality of handover in a London teaching hospital. Health Inf. J. 2009, 15:191-198.
87. Luo W., Najdawi M. Trust-building measures: a review of consumer health portals. Commun. ACM 2004, 47:108-113.
88. Fisher J., Burstein F., Manaszewicz R., Larazenko K. Health information portals: How can we improve the user's search experience?. Proceedings of the 17th European Conference on Information Systems 2009, 1-13.
89. Richards T.B., Croner C.M., Rushton G., Brown C.K., Fowler L. Geographic information systems and public health: mapping the future. Public Health Rep. 1999, 114:359-373.
90. O'Carroll P.W., Yasnoff W.A., Ward M.E., Ripp L.H., Martin E.L. Public Health Informatics and Information System 2003, Springer, New York.