Although the use of clinical hospital information systems (HIS) has been gaining some acceptance in the health care industry, cases of successful implementation are rare. Many clinical HIS users (who are primarily medical practitioners) are still experiencing a low level of user satisfaction with their systems. This paper argues that, in order to improve user satisfaction for clinical HIS users, due attention must be paid to the non-functional aspects of user requirements.
Get full access to this article
View all access options for this article.
References
1.
P.D. Sharkey , M.J. DeHaemer, L.P. Simmons and S.D. Horn, Assessing the severity of patients' illnesses to better manage health care resources, Interfaces23(4) (1993) 12-20.
2.
S. Butters and S. Eom, Decision support systems in the healthcare industry, Journal of Systems Management43(6) (1992) 28-31.
3.
A. Rubin, Managing care with decision support software, Computers in Healthcare10(9) (1989) 53-56.
4.
S.M. Chen , A weighted fuzzy reasoning algorithm for medical diagnosis, Decision Support Systems11(1) (1994) 37-43.
5.
N McCauley and M. Ala, The use of expert systems in the healthcare industry, Information and Management22(4) (1992) 227-235.
6.
K.K. Kim, User satisfaction: a synthesis of three different perspectives, Journal of Information Systems4(1) (1989).
7.
M.J. Ginzberg , A study of the implementation process, TIMS Studies in the Management Sciences13 (1979) 85-102.
8.
M.L. Markus , Power, politics, and MIS implementation, Communications of the ACM26(6) (1983) 430-444.
9.
K.K. Kim, Task characteristics, decentralization, and the success of hospital information systems, Information and Management19(2) (1990) 83-93.
10.
M. Lee, B. Barta and P. Juliff (eds), Software Quality and Productivity: Theory, Practice, Education and Training (Chapman and Hall, London, 1994).
11.
A. Davis, Software Requirements: Objects, Functions, and States ( Prentice-Hall, Englewood Cliffs, NJ, 1993).
12.
M.K.O. Lee, I. Sorensen and P. Scharbach, Engineering real software using formal methods. In: J.M. Morris and R.C. Shaw (eds), Fourth Refinement Workshop (Springer-Verlag, London, 1991) pp. 6-33.
13.
C.J. Brancheau and C.V. Brown, The management of end-user computing: status and directions, ACM Computing Surveys25(4) (1993) 437-482.
14.
R.E. Wallace , Strategic importance of the user, Journal of Information Systems Management5(3) (1988) 82-84.
15.
E.B. Swanson , Information channel disposition and use, Decision Sciences18(1) (1987) 131-145.
16.
T.J. Allen, Managing the Flow of Technology (MIT Press, Boston, MA, 1977).
17.
C.A. O'Reilly , Variations in decision makers' use of information sources: the impact of quality and accessibility of information, Academy of Management Journal25 ( 1982) 756-771.
18.
D. Owen, Delivering on the promise of management information systems, Information Strategy: The Executive's Journal3(1) (1986) 26-31.
19.
W.J. Doll and G. Torkzadeh, The measurement of end-user computing satisfaction, MIS Quarterly12(2) (1988) 259-274.
20.
J.J. Baroudi , M.H. Olson and B. Ives, An empirical study of the impact of user involvement on system usage and information satisfaction, Communications of the ACM29(3) (1986) 232-238.
21.
H.C. Lucas , Empirical evidence for a descriptive model of implementation, MIS Quarterly2(2) (1978) 27-41.
22.
A.D. Crescenzi and R.H. Reck, Critical success factors: helping IS managers pinpoint information needs, Infosystems32(7) (1985) 52-53.
23.
R.A. Rademacher , Critical factors for systems success, Journal of Systems Management40(6) (1989) 15-17.
24.
E. Babbie, The Practice of Social Research6th ed. (Wadsworth Publishing Company, CA, 1992).
25.
Federation of Medical Societies of Hong Kong Editorial Board, Medical and Dental Directory of Hong Kong5th ed. (Federation of Medical Societies of Hong Kong, Hong Kong, 1993).
26.
N. Smirnov , Tables for estimating the goodness of fit of empirical distributions, Annals of Mathematical Statistics19 (1948) 280-281.
27.
I. Sommerville , Software Engineering4th ed. (Addison-Wesley, USA, 1992).