Ranking and selecting hospital information systems: A multi-criteria decision making approach using TOPSIS in Hamadan, Iran

This study evaluated and ranked Hospital Information Systems (HIS) in teaching hospitals affiliated with Hamadan University of Medical Sciences, Iran. A cross-sectional design was employed, evaluating three HIS systems (PARDAZESHGARAN, SAYAN, and RAYAVARAN). Eight key criteria-technical quality, software quality, support quality, workflow support quality, output quality, cost, user satisfaction, and interdepartmental communication quality-were considered. Criterion weights were determined through expert consultation. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method was used to rank the HIS systems. Results indicated that cost and output quality were assigned the highest weights. The PARDAZESHGARAN system was ranked first, followed by SAYAN and RAYAVARAN. While this study provides insights into HIS evaluation in this context, limitations related to the sample size should be considered.

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Publication Details

Journal
PLOS Digital Health
Published
2025-09-23
DOI
https://doi.org/10.1371/journal.pdig.0001016
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28
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article

Ranking and selecting hospital information systems: A multi-criteria decision making approach using TOPSIS in Hamadan, Iran

Hamid Bouraghi, Ali Mohammadpour, Ahmad Maamaki, Parviz Karamiyan
1 citations
PLOS Digital Health
Big Data and Business Intelligence
2.28
article

Ranking and selecting hospital information systems: A multi-criteria decision making approach using TOPSIS in Hamadan, Iran

Hamid Bouraghi, Ali Mohammadpour, Ahmad Maamaki, Parviz Karamiyan
article en
1 citations

Abstract

This study evaluated and ranked Hospital Information Systems (HIS) in teaching hospitals affiliated with Hamadan University of Medical Sciences, Iran. A cross-sectional design was employed, evaluating three HIS systems (PARDAZESHGARAN, SAYAN, and RAYAVARAN). Eight key criteria-technical quality, software quality, support quality, workflow support quality, output quality, cost, user satisfaction, and interdepartmental communication quality-were considered. Criterion weights were determined through expert consultation. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method was used to rank the HIS systems. Results indicated that cost and output quality were assigned the highest weights. The PARDAZESHGARAN system was ranked first, followed by SAYAN and RAYAVARAN. While this study provides insights into HIS evaluation in this context, limitations related to the sample size should be considered.

PLOS Digital HealthVol. 4(9)
Hamedan University of Medical Sciences (IR)
Openalex Percentile: Top 9%
Big Data and Business Intelligence
2.28
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