Maturity of information processing in the digital transformation: analysis in the Italian healthcare system

This study explores the integration of Information Systems (IS) and Information Processing View (IPV) within the context of healthcare organizations undergoing digital transformation. Using Galbraith's (1974) information processing theory, we assess the alignment between healthcare information systems and organizational information processing requirements to determine their impact on digital transformation. By implementing a digital organizational maturity model developed by Aras and Büyüközkan (2023), we measure the digital maturity of a platform that integrates various healthcare services to better understand how a holistic approach supports its digital transformation. The study confirms the critical role of comprehensive Information Processing View models in overcoming the challenges posed by digital transformation in the healthcare sector. Key findings suggest that effective digital transformation in healthcare requires an integrated approach to information management. The research highlights the practical implications of using a maturity model to assess and enhance organizational readiness and capability for digital transformation, thus facilitating improvements in healthcare service delivery. This paper contributes to a broader understanding of maturity models in healthcare, aiming to enhance the evaluation and promotion of organizational maturity to support successful digital transformation processes. Additionally, this study provides valuable insights into the strategic integration of technology and information management to improve quality, cost efficiency, and safety in medical services.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2024-12-11
Primary Topic
Prenatal Screening and Diagnostics
Type
article
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article

Maturity of information processing in the digital transformation: analysis in the Italian healthcare system

Journal of the Association for Information Systems
Prenatal Screening and Diagnostics
article

Maturity of information processing in the digital transformation: analysis in the Italian healthcare system

article en

Abstract

This study explores the integration of Information Systems (IS) and Information Processing View (IPV) within the context of healthcare organizations undergoing digital transformation. Using Galbraith's (1974) information processing theory, we assess the alignment between healthcare information systems and organizational information processing requirements to determine their impact on digital transformation. By implementing a digital organizational maturity model developed by Aras and Büyüközkan (2023), we measure the digital maturity of a platform that integrates various healthcare services to better understand how a holistic approach supports its digital transformation. The study confirms the critical role of comprehensive Information Processing View models in overcoming the challenges posed by digital transformation in the healthcare sector. Key findings suggest that effective digital transformation in healthcare requires an integrated approach to information management. The research highlights the practical implications of using a maturity model to assess and enhance organizational readiness and capability for digital transformation, thus facilitating improvements in healthcare service delivery. This paper contributes to a broader understanding of maturity models in healthcare, aiming to enhance the evaluation and promotion of organizational maturity to support successful digital transformation processes. Additionally, this study provides valuable insights into the strategic integration of technology and information management to improve quality, cost efficiency, and safety in medical services.

Journal of the Association for Information Systems
Industry, innovation and infrastructure
Openalex Percentile: Top 36%
Prenatal Screening and Diagnostics
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