This study aims to understand IT investment decisions from the perspective of
senior health system executives. A two-stage study was used to investigate this
highly influential, very specialized and small population of interest. The first
stage involved qualitative interviews with top health executives and analysed
their opinions and beliefs using an innovation diffusion theory framework. The
second stage involved quantitative surveys of senior health executives to gain
an understanding of their opinions regarding the organizational and
technological drivers (the independent variables) and the level of IT adoption
(the dependent variable). It was found that the majority of drivers identified
as being significant to organizational and technological innovation are degraded
in respect to IT and health. It was concluded that health executives hold a
range of views that potentially inhibit the increased adoption of IT in health.
In particular, beliefs about the technology itself have been identified as the
most influential deterrents.
McFarland D E.Managerial Innovation in the Metropolitan Hospital.
New York: Praeger
, 1979.
2.
Brynjolfsson E.
,
Hitt L.Paradox lost? Firm-level evidence on the returns to information systems spending
. Management Science1996; 42 (4);
541—58
.
3.
Davenport T.H.
,
Short J.E.The new industrial engineering: information technology and business process redesign
. Sloan Management Review1990; (Summer);
11—27
.
4.
Chic.E-Health: An Exploratory Study of Health IT in Australia and New Zealand.
Brisbane: CHIC
, 2000.
5.
England I W R
,
Stewart D. Health
:
IT leader or laggard? A comparative assessment of IT maturity
. Australian Health Review2003 ; 26 (2).
6.
Shortliffe E H.The evolution of health-care records in the era of the Internet. In
Chesnik B
,
McCray A T
,
Scherrer J R
eds Medinfo '98: 9th World Congress on Medical Informatics.
Amsterdam: IOS Press
, 1998.
7.
Poon E.G.
,
Jha A.K.
,
Christino M.
,
Honour M.M.
,
Fernandopulle R.
,
Midleton B.
et al.
Assessing the level of healthcare information technology adoption in the
United States: a snapshot
. BMC Medical Informatics and Decision Making2006; 6 (1).
8.
England I W R
,
Stewart D.
,
Walker S.Information technology adoption in health care: when organisations and
technology collide
. Australian Health Review2000; 23 (3);
176—85
.
9.
Rogers E M.Diffusion of Innovations4th edn.
New York: Free Press
, 1995.
10.
England I W RThe status of health IT expenditure: a qualitative study of senior executive in
regard to IT investment. In
James P
,
Smith J
,
Smith L
eds HIC 2001: Realising Quality Health Care.
Melbourne
, Victoria:
Health Informatics Society of Australia
, 2001.
11.
Rind D.M.
,
Safran C.Real and imagined barriers to an electronic medical record
. Proceedings of Annual Symposium on Computer Applications in Medical Care1993;
74—8
.
12.
Halamka J D.
,
Safran C.CareWeb, a web-based medical record for an integrated healthcare delivery
system. In
Cesnik B
,
McCray A T
,
Scherrer J R
eds. Medinfo '98: 9th World Congress on Medical Informatics36—9.
Amsterdam: IOS Press
, 1998.
13.
Kirveennummi M.
,
Hirvo H E I.Framework for barriers to is-related change: development and evaluation of
a theoretical model
. Proceedings of IFIP Working Groups 8 2 and 8 6 Joint Working
Conference on Information Systems: Current Issues and Future Changes
509—28. 1998 .
14.
Sands D Z.
,
Rind D M.
,
Vieira C.
,
Safran C.Can a large institution go paperless
? In Cesnik B, McCray A T, Scherrer J R eds. Medinfo '98: 9th
World Congress on Medical Informatics 60—3.
Amsterdam : IOS Press, 1998.
15.
Sobol M.G.
,
Alverson M.
,
Lei D.Barriers to the adoption of computerised technology in health care systems.
Topics in Health CareInformation Management1999 (May).
16.
Ash J.S.
,
Lyman J.
,
Carpenter J.
,
Fournier L.A diffusion of innovations model of physician order entry
. Proceedings AMIA Symposium2001; 22—6.
17.
Ash J.S.
,
Stavri P.Z.
,
Dykstra R.
,
Fournier L.Implementing computerized physician order entry: the importance of special
people. International Journal ofMedical Informatics2003; 69 (2);
235—50
.
18.
Ash J.S.
,
Gorman P.N.
,
Lavelle M.
,
Payne T.H.
,
Massaro T.A.
,
Frantz G.L.
et al. A cross-site qualitative study of physician order entry. Journal
of theAmerican Medical Informatics Association2003; 10 (2); 188—200.
19.
Gladwin J.
,
Dixon R.A.
,
Wilson T.D.Implementing a new health management information system in Uganda
. Health Policy and Planning2003; 18 (2);
214—24
.
20.
Gosling A.S.
,
Westbrook J.I.
,
Braithwaite J.Clinical team functioning and IT innovation: a study of the diffusion of a
point-of care online evidence system. Journal of theAmerican Medical Informatics Association2003; 10 (3); 244—51.
21.
Committee on Technological Innovation in Medicine.Adopting New Medical Technology.
Washington : Institute of Medicine
, 1994.
22.
Foote S.B.Managing the Medical Arms Race: Innovation and Public Policy in the Medical
Device Industry.
Berkeley: University of California Press
, 1992.
23.
Gleeson S.Blue Cross and Blue Shield Association initiatives in technology
assessment . In
Gelijns A C
,
Dawkins H V
eds Adopting New Medical Technology96—100.
Washington: National Academy Press
, 1994.
24.
Lairson P D.Kaiser Permanente's New Technology Committee: coverage decisionmaking in a
group model health maintenance organization In
Gelijns A C
,
Dawkins H V
eds Adopting New Medical Technology101—8.
Washington: National Academy Press
, 1994.
25.
Strauss A.
,
Corbin J.Basics of Qualitative Research: Grounded Theory Procedures and Techniques
.
Newbury Park, CA: Sage
, 1990.
26.
Rubin H.
,
Rubin I.Qualitative Interviewing: The Art of Hearing Data.
Thousand Oaks, CA: Sage
, 1995.
27.
Kvale S.InterViews: An Introduction to Qualitative Research Interviewing.
Thousand Oaks, CA: Sage
, 1996.
28.
Glaser B.
,
Strauss A.The Discovery of Grounded Theory.
Chicago: Aldine
, 1967.
29.
Strauss A.Qualitative Analysis for Social Scientists.
Cambridge: Cambridge University Press
, 1987.
30.
Berg B.L.Qualitative Research Methods for the Social Sciences.
Needham Heights, MA: Allyn and Bacon
, 1989.
31.
Strassmann P.A.The Squandered Computer.
New Canaan: Information Economics Press
, 1997.
32.
Nolan R.L.Managing the crises in data processing
. Harvard Business Review1979; (March—April);
115—26
.
Rogers E M.Diffusion of Innovations.
New York: Free Press
, 1962.
35.
Broadbent M.
,
Weill P.Improving business and information strategy alignment: learning from the
banking industry
. IBM Systems Journal1993; 32 (1);
162—79
.
36.
Kaplan R.S.
,
Norton D.P.The Balanced Scorecard.
Boston: Harvard Business School Press
, 1996.
Parker M.M.
,
Benson R.J.
,
Trainor H.E.Information Economics: Linking Business Performance to Information
Technology .
Englewood Cliffs, NJ: Prentice-Hall
, 1988.
39.
How to read clinical journals. VII: To understand an economic evaluation
(part A)
. Canadian Medical Association Journal1984; 130 (11);
1428—34
.
40.
How to read clinical journals. VII: To understand an economic evaluation
(part B)
. Canadian Medical Association Journal1984; 130 (12);
1542—9
.
41.
Bysinger W.
,
Knight K.Investing in Information Technology: A Decision Making Guide for Business and
Technology Managers.
New York: Van Nostrand Reinhold
, 2000.
42.
Hogbin G.
,
Thomas D.V.Investing in Information Technology: Managing the Decision-Making Process
.
London: McGraw-Hill
, 1994.
43.
Han Y.Y.
,
Carcillo J.A.
,
Venkataraman S.T.
,
Clark R. S. B.
,
Watson R.S.
,
Nguyen T.C.
et al.
Unexpected increased mortality after implementation of a commercially sold
computerized physician order entry system
. Pediatrics2005; 116 (6);
1506—12
.
44.
Braithwaite J.
,
Lazarus L.
,
Vining R.F.
,
Soar J.Hospitals: to the next millennium
. International Journal of Health Planning and Management1995 ; 10;
87—98
.
45.
Degeling P.
,
Kennedy J.
,
Hill M.
,
Carnegie M.
,
Holt J.Professional Subcultures and Hospital Reform.
Sydney: University of New South Wales
, 1998.
