Paper Type

ERF

Abstract

The rapid digitalization of healthcare has intensified the demand for seamless integration of clinical technologies, yet hospitals continue to grapple with optimizing their equipment under stringent data privacy constraints. While extant research emphasizes the importance of technological mergers and data governance in healthcare, studies often overlook how these elements jointly influence the effective utilization of hospital equipment. In this study, we draw on Resource-Based View (RBV) to investigate how integrative technology networks and comprehensive patient data practices either facilitate or inhibit hospital care delivery and operational outputs. Using archival data from 400 firm-year observations, we test our thesis. Theoretically, our study advances organizational integration and conceptual privacy frameworks by elucidating the dual role of data inclusivity as both an enabler and a constraint in technology convergence. Practically, our study provides policymakers and healthcare administrators with operational insights into balancing robust data protection with the imperative of interoperable, data-driven healthcare systems.

Paper Number

1819

Author Connect URL

https://authorconnect.aisnet.org/conferences/AMCIS2025/papers/1819

Comments

SIGHEALTH

Author Connect Link

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Aug 15th, 12:00 AM

Revolutionizing Healthcare: Data Integration on Hospital Care Efficiency

The rapid digitalization of healthcare has intensified the demand for seamless integration of clinical technologies, yet hospitals continue to grapple with optimizing their equipment under stringent data privacy constraints. While extant research emphasizes the importance of technological mergers and data governance in healthcare, studies often overlook how these elements jointly influence the effective utilization of hospital equipment. In this study, we draw on Resource-Based View (RBV) to investigate how integrative technology networks and comprehensive patient data practices either facilitate or inhibit hospital care delivery and operational outputs. Using archival data from 400 firm-year observations, we test our thesis. Theoretically, our study advances organizational integration and conceptual privacy frameworks by elucidating the dual role of data inclusivity as both an enabler and a constraint in technology convergence. Practically, our study provides policymakers and healthcare administrators with operational insights into balancing robust data protection with the imperative of interoperable, data-driven healthcare systems.

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