Decision Support System for Patient Satisfaction with Healthcare Services Using the Preference Selection Index (PSI)

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Fein Dwi Muhammad
Rahmah Laila
Prakasit Poonwong

Abstract

Patient-satisfaction surveys at community health centers are still tallied by hand. This study built a web-based decision support system at Puskesmas Tawaeli, Palu, that ranks patients by satisfaction with the Preference Selection Index (PSI) from a ten-item questionnaire on a four-level scale, and evaluated it three ways. A black-box suite of 13 functions gave 11 results as expected and two mismatches (profile, logout) that the test sheet had recorded as passed. A recomputation of the PSI steps on the published five-patient example gave weights between 0.094 and 0.104 and a ranking that follows the mean score; the manual calculation in the source thesis contains arithmetic errors and negative weights, and the intermediate values the system displayed cannot arise from the PSI definition. A User Experience Questionnaire completed by 20 respondents rated all six scales above the “excellent” benchmark threshold (means 1.88–2.46), although the confidence intervals of three scales cross it and perspicuity has low reliability (α = 0.49). The system is usable, but its PSI module needs correction and retesting before its rankings are used.

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Decision Support System for Patient Satisfaction with Healthcare Services Using the Preference Selection Index (PSI). (2025). SYNTIA (Systems and Technologies in Artificial Intelligence Applications), 1(1), 1-8. https://doi.org/10.22487/SYNTIA/1

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