Health and medical software related to computer user satisfaction: an interactive online expert system using diagnostic audit trails through telecommunication networks

Avi Rushinek; Sara F. Rushinek

doi:10.1016/0168-8510(85)90035-1

Health and medical software related to computer user satisfaction: an interactive online expert system using diagnostic audit trails through telecommunication networks

Research output: Contribution to journal › Article › peer-review

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	https://doi.org/10.1016/0168-8510(85)90035-1
State	Published - 1985

Keywords

artificial intelligence
computer user satisfaction
diagnostic audit trails
expert systems
health software
medical software
microcomputers

ASJC Scopus subject areas

Health Policy

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10.1016/0168-8510(85)90035-1

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title = "Health and medical software related to computer user satisfaction: an interactive online expert system using diagnostic audit trails through telecommunication networks",

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).",

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year = "1985",

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AU - Rushinek, Avi

AU - Rushinek, Sara F.

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Y1 - 1985

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

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Health and medical software related to computer user satisfaction: an interactive online expert system using diagnostic audit trails through telecommunication networks

Abstract

Keywords

ASJC Scopus subject areas

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