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Medical Science OPEN ACCESS

The Impact of AI on Healthcare Workforce Management: Business Strategies for Talent Optimization and IT Integration

Maham Saeed
Master of science in management Healthcare, St. Francis College, Brooklyn, New York, USA.
Muhammad Saqib Jalil
Management and Information Technology, St. Francis College, Brooklyn, New York, USA
Fares Mohammed Dahwal
Department of Cyber Security, Rochester Institute of Technology, 1 Lomb Memorial Dr, NY14623
Mohammad Tonmoy Jubaear Mehedy
Department of Information Technology, Washington University of Science and Technology (wust), Eisenhower Ave, Alexandria VA 22314, USA
Esrat Zahan Snigdha
Master’s of Business Administration, Health Care Management,Washington University of Science and Technology (wust), Eisenhower Ave, Alexandria VA 22314, USA
Abdullah al mamun
Department of Business Analytics, St. Francis College, Brooklyn, New York, USA
MD Nadil khan
Department of Information Technology, Washington University of Science and Technology (wust), Eisenhower Ave, Alexandria VA 22314, USA.
DOI Crossref DOI 10.37547/tajmspr/Volume07Issue03-15
tajmspr 2025
VOL. 7 / NO. 03 MARCH
FULL TEXT PP. 136-156
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VOLUME 7
ISSUE 03
YEAR 2025
PAGES 136-156
RESEARCH OVERVIEW

Abstract

Through Artificial Intelligence (AI), healthcare has brought revolutionary changes to workforce administration by directing talent delegations and reforming operations with IT integration. Healthcare organizations struggle with staff shortages alongside rising operational costs while seeking high-quality patient care which makes AI-driven workforce solutions data-based when addressing these problems. This investigation reveals the ways AI technology brings improved scheduling capabilities along with better talent hiring methods and performance evaluation systems and employee maintenance procedures and implements their integration with health IT infrastructure. This research consists of both systemized review of academic studies and real-world examples and statistical data which reveals how AI automation reduces administrative obstacles while lowering staff issues and generating operational improvements. AI technological capabilities with predictive analytics and machine learning allow for flexible workforce planning and real-time performance tracking together with data-based decision making to create superior business strategies for talent optimization. Artificial intelligence enhances IT integrations which creates better interoperability between Electronic Health Records (EHR) systems as well as workforce management systems thereby optimizing human resource functions while cutting down on processing time. Research evidence demonstrates that AI implementations deliver significant operational improvements which produce enhanced staff performance along with diminished labor expenses and contented employees. AI implementation for healthcare workforce management encounters obstacles because healthcare professionals question its ethics while workforce members avoid adopting changes and the field exhibits technological differences. Future studies need to tackle the present challenges by studying AI governance programs with emphasis on staff flexibility to AI technology integration. The research presents a tactical guide which healthcare institutions can use to optimize workforce management through AI deployment in order to build sustainable operations in transforming digital environments.

RESEARCH TOPICS

Keywords

AI-driven Workforce Optimization Healthcare Talent Management IT Integration Business Strategy Digital Transformation

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