Propositions to Analyse the Application of Intelligent Systems in Health Care Social Organisations

Organizations in the social sector, among others in health care, are increasingly adopting intelligent systems as part of their digital transformation efforts. Although there is a substantial body of literature on digital transformation processes in commercial sectors, research on the application of intelligent systems within social sector organizations remains underexplored. Intelligent systems offer significant promises in enhancing service delivery, improving operational efficiencies, and amplifying social impact. However, these organizations often encounter multi-dimensional challenges in implementing digital transformation, such as resource constraints, integration complexity, and data management issues. This paper synthesizes insights from current research using an integrative literature review approach and develops a preliminary framework that addresses these challenges. This framework aims to support social sector organizations, particularly in healthcare, in strategically deploying intelligent systems.

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Published
2024-12-17
DOI
https://doi.org/10.1109/icicyta64807.2024.10912981
Primary Topic
Healthcare Systems and Public Health
Type
article
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article

Propositions to Analyse the Application of Intelligent Systems in Health Care Social Organisations

Ari Margiono
Healthcare Systems and Public Health
article

Propositions to Analyse the Application of Intelligent Systems in Health Care Social Organisations

Ari Margiono
article en

Abstract

Organizations in the social sector, among others in health care, are increasingly adopting intelligent systems as part of their digital transformation efforts. Although there is a substantial body of literature on digital transformation processes in commercial sectors, research on the application of intelligent systems within social sector organizations remains underexplored. Intelligent systems offer significant promises in enhancing service delivery, improving operational efficiencies, and amplifying social impact. However, these organizations often encounter multi-dimensional challenges in implementing digital transformation, such as resource constraints, integration complexity, and data management issues. This paper synthesizes insights from current research using an integrative literature review approach and develops a preliminary framework that addresses these challenges. This framework aims to support social sector organizations, particularly in healthcare, in strategically deploying intelligent systems.

Binus University (ID)
Openalex Percentile: Top 62%
Healthcare Systems and Public Health
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Propositions to Analyse the Application of Intelligent Systems in Health Care Social Organisations — Ari Margiono · (2024) | TGRS Research Map | TGRS