Precision Healthcare: Leveraging Value Chain Analysis of Strategic Information Systems and Information Technology to Enhance Hospital Outcomes

In the healthcare digitalization era, leveraging strategic information systems (IS) and information technology (IT) through value chain analysis has emerged as a pivotal approach to enhance hospital outcomes. This study aims to develop a framework for integrating IS/IT strategies at Datu Sanggul Hospital, a Class C facility in South Kalimantan, to achieve precision healthcare delivery. The research methodology encompasses data collection via document studies, stakeholder interviews, and observations, coupled with rigorous data analysis and validation techniques. A strategic model formulates algorithms and system architectures guiding implementation of critical IS/IT initiatives like telemedicine, customer relationship management, and executive information systems. Robust IT strategies, including data center development, cloud computing, and disaster recovery planning, optimize operations and resource management. Mapping business needs to tailored IS solutions ensures precision across financial reporting, inventory management, employee training, and interdepartmental collaboration. The proposed approach aligns IS/IT strategies with operational objectives through value chain analysis, enhancing patient care quality, operational efficiency, and resource optimization. Positioning the institution for precision medicine, this framework drives innovation and improves health outcomes in healthcare's evolving landscape.

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Publication Details

Journal
Jurnal Riset Sistem dan Teknologi Informasi
Published
2025-07-15
DOI
https://doi.org/10.30787/restia.v3i2.1519
Primary Topic
Information Technology Governance and Strategy
Type
article
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0.00
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article

Precision Healthcare: Leveraging Value Chain Analysis of Strategic Information Systems and Information Technology to Enhance Hospital Outcomes

Kamarudin Kamarudin
Jurnal Riset Sistem dan Teknologi Informasi
Information Technology Governance and Strategy
article

Precision Healthcare: Leveraging Value Chain Analysis of Strategic Information Systems and Information Technology to Enhance Hospital Outcomes

Kamarudin Kamarudin
article en

Abstract

In the healthcare digitalization era, leveraging strategic information systems (IS) and information technology (IT) through value chain analysis has emerged as a pivotal approach to enhance hospital outcomes. This study aims to develop a framework for integrating IS/IT strategies at Datu Sanggul Hospital, a Class C facility in South Kalimantan, to achieve precision healthcare delivery. The research methodology encompasses data collection via document studies, stakeholder interviews, and observations, coupled with rigorous data analysis and validation techniques. A strategic model formulates algorithms and system architectures guiding implementation of critical IS/IT initiatives like telemedicine, customer relationship management, and executive information systems. Robust IT strategies, including data center development, cloud computing, and disaster recovery planning, optimize operations and resource management. Mapping business needs to tailored IS solutions ensures precision across financial reporting, inventory management, employee training, and interdepartmental collaboration. The proposed approach aligns IS/IT strategies with operational objectives through value chain analysis, enhancing patient care quality, operational efficiency, and resource optimization. Positioning the institution for precision medicine, this framework drives innovation and improves health outcomes in healthcare's evolving landscape.

Jurnal Riset Sistem dan Teknologi InformasiVol. 3(2)
Universitas Muhammadiyah Banjarmasin
Openalex Percentile: Top 49%
Information Technology Governance and Strategy
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Precision Healthcare: Leveraging Value Chain Analysis of Strategic Information Systems and Information Technology to Enhance Hospital Outcomes — Kamarudin Kamarudin · Jurnal Riset Sistem dan Teknologi Informasi (2025) | TGRS Research Map | TGRS