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 journalArticle

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 languageEnglish (US)
Pages (from-to)199-219
Number of pages21
JournalHealth Policy
Volume4
Issue number3
DOIs
StatePublished - Jan 1 1985

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Online Systems
Expert Systems
Computer Communication Networks
Software
Health
Artificial Intelligence

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

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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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