Expectation based evaluation framework for hospital information systems measurement model )

Gürsel, Güney
Evaluation is essential for Medical Informatics as well as many other disciplines. There is a growing interest and investment for evaluation researches and self evaluation works. Hospital Information System (HIS) evaluation frameworks have largely been discussed in the literature. However, existing frameworks lack one important aspect, to what extent user expectations from HIS are met. To complement this deficiency we designed an evaluation farmework for evaluating the user expectation in HIS. User expectation data are collected by means of “Expectation Questionnaire”. Fuzzy logic methodologies are used to evaluate the expectation meeting in the proposed evaluation framework. The evaluation variables are not represented in the result equally; they are reflected by the weights assigned by the users. Our proposed framework provides the overall degree to what extent user expectations are met. It also gives the opportunity to analyze to what extent each expectation is met and degree to what extent different user groups’ expectations are met. Education, sex and business title is determinants of general expectations about HIS. IS experience is not a determinant of medical users’ expectations in any expectations. The proposed framework is not a rival but an alternative or complementary to the existing frameworks. It is a different approach and has different computation methodology supported by fuzzy logic. The framework can give detail to the each variable level. These results are just a photo of the current situation; a deeper analysis of these findings must be done for further information about the causes of these results.


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Hospital information system (HIS) evaluation frameworks have largely been discussed in the literature. However, existing frameworks lack one important aspect: to what extent user expectations of HISs are met. In this study, user expectation data are collected by means of the 'expectation questionnaire'. The internal consistencies of the answers to the questionnaire are measured by Cronbach's alpha coefficient. Fuzzy logic methodologies are used to evaluate the expectation variables in the proposed evaluatio...
Citation Formats
G. Gürsel, “Expectation based evaluation framework for hospital information systems measurement model ),” Ph.D. - Doctoral Program, Middle East Technical University, 2012.