Innovating Healthcare Management Education With Artificial Intelligence: A Case Study From the Army-Baylor University...

Area of Science:

• * Health Administration Education
• * Graduate Healthcare Management
• * Artificial Intelligence in Academia

Background:

• * Growing adoption of artificial intelligence (AI) across academic disciplines.
• * Impact of AI on healthcare and business administration education.
• * Need to examine AI's role in graduate programs.

Purpose of the Study:

• * To assess the impact of AI integration in a graduate healthcare and business administration program.
• * To evaluate AI's effects at programmatic, course, and student levels.
• * To present findings as a case study for future AI implementation.

Main Methods:

• * Mixed-methods approach combining policy development, course adjustments, and student surveys.
• * Survey assessed technology acceptance and behavioral intentions regarding AI.
• * Qualitative free-text responses captured student experiences and perceptions of AI.

Main Results:

• * Programmatic: Developed and implemented an AI policy with faculty and student training.
• * Course Level: Faculty integrated AI policy into syllabi, enhancing instruction.
• * Student Level: AI improved information synthesis, leading to strong academic performance, including a 100% first-time pass rate on oral board exams.
• * Students expressed optimism about AI's potential in military medicine.

Conclusions:

• * Proactive AI integration balances innovation with academic rigor.
• * Students feel empowered by AI tools, enhancing preparedness for military medicine administration.
• * Continued evaluation is crucial for graduates to lead and innovate in federal and military healthcare systems.