Decision Criteria in Hospital Information System Sourcing Policies and Their Impact on Stakeholders’ Satisfaction

This study investigated the decision criteria guiding hospitals in formulating policies on insourcing or outsourcing their Hospital Information Systems (HIS). It examined how these decisions affect stakeholders' satisfaction, using perceived system usability as a proxy. This study adopted a sequential mixed-methods design involving qualitative site visits to six hospitals, followed by a quantitative survey of 80 HIS stakeholders. Findings from site visits indicated that performance, reliability, and quality were common decision criteria across sourcing strategies. Hospitals that insourced their HIS emphasized security, access, and control over source code and data, whereas those that outsourced prioritized maintainability, adherence to standards, and implementation time efficiency. Interestingly, regardless of sourcing strategy, cost was consistently ranked among the least important decision criteria, suggesting that HIS stakeholders prioritize system performance over budgetary considerations. Regarding the impact of sourcing decisions, insourced HIS achieved significantly higher usability scores than outsourced HIS, indicating greater stakeholder satisfaction. Overall, this study presented an integrated view of the criteria driving HIS sourcing policies and their implications for HIS stakeholder satisfaction.

Authors

Institutions

Publication Details

Journal
Ubaya Repository (University of Surabaya)
Published
2026-04-22
Primary Topic
Outsourcing and Supply Chain Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Decision Criteria in Hospital Information System Sourcing Policies and Their Impact on Stakeholders’ Satisfaction

Jimmy Jimmy, Phi Shi Ng
Ubaya Repository (University of Surabaya)
Outsourcing and Supply Chain Management
article

Decision Criteria in Hospital Information System Sourcing Policies and Their Impact on Stakeholders’ Satisfaction

Jimmy Jimmy, Phi Shi Ng
article en

Abstract

This study investigated the decision criteria guiding hospitals in formulating policies on insourcing or outsourcing their Hospital Information Systems (HIS). It examined how these decisions affect stakeholders' satisfaction, using perceived system usability as a proxy. This study adopted a sequential mixed-methods design involving qualitative site visits to six hospitals, followed by a quantitative survey of 80 HIS stakeholders. Findings from site visits indicated that performance, reliability, and quality were common decision criteria across sourcing strategies. Hospitals that insourced their HIS emphasized security, access, and control over source code and data, whereas those that outsourced prioritized maintainability, adherence to standards, and implementation time efficiency. Interestingly, regardless of sourcing strategy, cost was consistently ranked among the least important decision criteria, suggesting that HIS stakeholders prioritize system performance over budgetary considerations. Regarding the impact of sourcing decisions, insourced HIS achieved significantly higher usability scores than outsourced HIS, indicating greater stakeholder satisfaction. Overall, this study presented an integrated view of the criteria driving HIS sourcing policies and their implications for HIS stakeholder satisfaction.

Ubaya Repository (University of Surabaya)
University of Surabaya (ID), Institut Informatika Indonesia (ID), Universitas 45 Surabaya (ID)
Openalex Percentile: Top 3%
Outsourcing and Supply Chain Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.