The Impact of AI Implementation on Business Operations in Hospitals

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Wullur, Kevin Matthew Nathanael (2025) The Impact of AI Implementation on Business Operations in Hospitals. Undergraduate thesis, institute ipmi.

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Kevin Matthew Nathanael Wullur (Joint Degree).pdf
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Abstract

In this thesis, we will be exploring the implications of artificial intelligence (AI) and its integration across different domains within healthcare sectors. Such domains are as follows; logistics, human resource management (HRM), and business models. Among the increasing pace of digitalization caused by recent global health crises, the healthcare industry is at a crossroads, because of the incorporation of AI, a technology with the potential to transform patient care, operational efficiencies, and organizational dynamics. Although AI promises improved diagnostic accuracy, optimized logistical operations, and novel business models, but its implementation creates ethical, operational, and strategic challenges. The paper is carried out using a comprehensive literature review and empirical research, in which it outlines the transformative impact of AI on healthcare logistics, that demonstrates significant efficiencies in supply chain management and predictive analytics. Also, AI plays a critical role in HRM by speeding up the hiring, training, and performance review processes, on the other hand concerns about data privacy and job displacement still exist. We will also be examining how AI affects business models revealing an important change in healthcare delivery toward one that is more patient-centric and data-driven. However, the implementation of AI raises a lot of critical issues such as data ethics, workforce displacement, and the need for regulatory frameworks to protect patient privacy and ensure equitable access to AI-enhanced healthcare services.

Item Type: Thesis (Undergraduate)
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Thesis > Bachelor of Business Administration
Depositing User: Dwi Selviyana
Date Deposited: 26 Feb 2025 04:21
Last Modified: 26 Feb 2025 04:21
URI: http://repository.ipmi.ac.id/id/eprint/2670

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