Assess the Preparedness for Artificial Intelligence (A.I.) Implementation in Private Hospitals in Melaka, Malaysia.

Authors

Mohd Fazli Mohd Sam

Fakulti Pengurusan Teknologi dan Teknousahawanan, Universiti Teknikal Malaysia Melaka, Malaysia (Malaysia)

Lee Eng Hou

Fakulti Pengurusan Teknologi dan Teknousahawanan, Universiti Teknikal Malaysia Melaka, Malaysia (Malaysia)

Albert Feisal@Muhd Feisal Ismail

Fakulti Pengurusan Teknologi dan Teknousahawanan, Universiti Teknikal Malaysia Melaka, Malaysia (Malaysia)

Nik Mohd Zarifie Hashim

Fakulti Teknologi dan Kejuruteraan Elektronik dan Elektronik, Universiti Teknikal Malaysia Melaka, Malaysia (Malaysia)

Budi Suprato

Fakulti Pengurusan Teknologi dan Teknousahawanan, Universiti Teknikal Malaysia Melaka, Malaysia (Malaysia)

Norazida Ali

Politeknik Tun Syed Nasir Syed Ismail, Pagoh, Johor, Malaysia (Malaysia)

Nadia Nila Sari

Faculty of Business and Economics, Universitas Atma Jaya Yogyakarta, Indonesia (Indonesia)

Article Information

DOI: 10.47772/IJRISS.2026.100600799

Subject Category: Technology

Volume/Issue: 10/6 | Page No: 11452-11457

Publication Timeline

Submitted: 2026-06-11

Accepted: 2026-06-16

Published: 2026-07-06

Abstract

The incorporation of A.I. in healthcare can improve patient care, optimize operations, and decrease expenses. This research seeks to evaluate the degree of A.I. deployment, ascertain the acceptance level of target elements influencing attitudes and patient involvement and experience, and analyze the obstacles and benefits experienced by healthcare professionals, specifically via the lens of the technology acceptance model. Data were gathered via semi-structured interviews with an administrator, a physician, and a nurse from different private hospitals in Melaka, with participants chosen based on their experience, job responsibilities, and expertise in the private hospital environment. The findings indicate an increasing interest in the implementation of A.I., especially in diagnostic imaging and patient management systems. Nonetheless, obstacles such as elevated implementation expenses impede extensive adoption. Notwithstanding this challenge, the study underscores the considerable potential of A.I. to revolutionize healthcare service in Melaka, contingent upon strategic investments and policy backing.

Keywords

Artificial Intelligence, Healthcare, Adoption, Technology Acceptance Model

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