The efficient management of hospital operations remains pivotal to the delivery of quality healthcare services. Despite significant advancements in digital technologies, numerous healthcare institutions continue to depend on antiquated systems or manual record-keeping, often leading to inaccuracies, operational delays, and increased administrative load. In response to these persistent challenges, the AI-Enhanced Hospital Management System (AI-HMS) has been conceptualized as a transformative solution. This system integrates machine learning algorithms, predictive analytics, and intelligent automation to streamline hospital workflows—encompassing patient data management, appointment scheduling, billing, and inventory tracking. Departing from traditional hospital management software, AI-HMS offers real-time insights, reduces repetitive manual tasks, and empowers healthcare personnel with informed decision-making capabilities. This paper delineates the architecture, development methodology, and expected implications of AI-HMS in reshaping healthcare management practices.
Volume 17 | Issue 1
Pages: 320-323