Abstract
The selection of a health and medical software (HMS) system is a complicated process. The overall satisfaction derived from a system depends on many variables. This study analyzes the influence of HMS predictor variables on overall satisfaction as determined by multiple regression. The null hypothesis, that multiple correlation coefficient is zero, is rejected. The alternative hypothesis is accepted. This study confirms the theories that suggest that HMS ease of operation, independent variables, technical support troubleshooting, and reliability of computer are the major determinations of overall computer user satisfaction. The factors identified were used in the design of an HMS expert system based on artificial intelligence (ESAI).
| Original language | English (US) |
|---|---|
| Pages (from-to) | 199-219 |
| Number of pages | 21 |
| Journal | Health Policy |
| Volume | 4 |
| Issue number | 3 |
| DOIs | |
| State | Published - Jan 1 1985 |
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Keywords
- artificial intelligence
- computer user satisfaction
- diagnostic audit trails
- expert systems
- health software
- medical software
- microcomputers
ASJC Scopus subject areas
- Health Policy
- Public Health, Environmental and Occupational Health
Cite this
Health and medical software related to computer user satisfaction : an interactive online expert system using diagnostic audit trails through telecommunication networks. / Rushinek, Avi; Rushinek, Sara.
In: Health Policy, Vol. 4, No. 3, 01.01.1985, p. 199-219.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Health and medical software related to computer user satisfaction
T2 - an interactive online expert system using diagnostic audit trails through telecommunication networks
AU - Rushinek, Avi
AU - Rushinek, Sara
PY - 1985/1/1
Y1 - 1985/1/1
N2 - The selection of a health and medical software (HMS) system is a complicated process. The overall satisfaction derived from a system depends on many variables. This study analyzes the influence of HMS predictor variables on overall satisfaction as determined by multiple regression. The null hypothesis, that multiple correlation coefficient is zero, is rejected. The alternative hypothesis is accepted. This study confirms the theories that suggest that HMS ease of operation, independent variables, technical support troubleshooting, and reliability of computer are the major determinations of overall computer user satisfaction. The factors identified were used in the design of an HMS expert system based on artificial intelligence (ESAI).
AB - The selection of a health and medical software (HMS) system is a complicated process. The overall satisfaction derived from a system depends on many variables. This study analyzes the influence of HMS predictor variables on overall satisfaction as determined by multiple regression. The null hypothesis, that multiple correlation coefficient is zero, is rejected. The alternative hypothesis is accepted. This study confirms the theories that suggest that HMS ease of operation, independent variables, technical support troubleshooting, and reliability of computer are the major determinations of overall computer user satisfaction. The factors identified were used in the design of an HMS expert system based on artificial intelligence (ESAI).
KW - artificial intelligence
KW - computer user satisfaction
KW - diagnostic audit trails
KW - expert systems
KW - health software
KW - medical software
KW - microcomputers
UR - http://www.scopus.com/inward/record.url?scp=0021958941&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0021958941&partnerID=8YFLogxK
U2 - 10.1016/0168-8510(85)90035-1
DO - 10.1016/0168-8510(85)90035-1
M3 - Article
C2 - 10300016
AN - SCOPUS:0021958941
VL - 4
SP - 199
EP - 219
JO - Health Policy
JF - Health Policy
SN - 0168-8510
IS - 3
ER -