Health and medical software related to computer user satisfaction: an interactive online expert system using diagnostic audit trails through telecommunication networks.
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. Th 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).
D003201:Computers; D003258:Consumer Behavior; D003936:Diagnosis, Computer-Assisted / Q000592:standards*; D005069:Evaluation Studies as Topic; D008838:Microcomputers; D012044:Regression Analysis; D012984:Software