Adjunct Instructor, MHA Program, Medical Sciences

High Point University•High Point, NC
•Remote

About The Position

The Master of Healthcare Administration Program within the Department of Medical Sciences at High Point University seeks an adjunct instructor to teach MHA 5052, Artificial Intelligence (AI) and Healthcare Leadership, a three-credit, six-week online and asynchronous course. The course is planned for Summer 2026 Term II. This course explores how artificial intelligence is reshaping healthcare and redefining leadership during rapid digital transformation. Students examine emerging AI technologies and their clinical, operational, strategic, ethical, workforce, and governance implications. Through case studies, discussions, simulations, and strategic planning activities, students develop the competencies needed to lead responsible, human-centered, and sustainable AI-enabled innovation in healthcare organizations.

Requirements

  • Doctorate or master’s degree in healthcare administration, health sciences, business, informatics, data science, artificial intelligence, or a closely related field.
  • Demonstrated knowledge of artificial intelligence and its applications in healthcare delivery, operations, strategy, or administration.
  • Healthcare industry and leadership experience, with the ability to connect emerging technologies to organizational decision-making and change management.
  • Knowledge of responsible AI, ethics, privacy, data governance, equity, regulatory considerations, workforce readiness, and stakeholder engagement.
  • Strong written, verbal, facilitation, and student-mentoring skills.

Nice To Haves

  • Experience teaching graduate or professional learners; online teaching experience and familiarity with learning management systems are strongly preferred.

Responsibilities

  • Develop, organize, and upload course content in Blackboard Ultra before the beginning of the six-week session, in alignment with the approved syllabus and program expectations.
  • Deliver an engaging online learning experience using recorded lectures, applied activities, case studies, discussion boards, and other appropriate instructional methods.
  • Interact consistently with students throughout the session, provide timely and substantive feedback, and evaluate all required student work.
  • Assess achievement of course learning outcomes and use effective assessment strategies to support student learning and continuous course improvement.
  • Guide students in analyzing AI applications across clinical, operational, and administrative settings, including ethical, legal, regulatory, equity, workforce, and governance considerations.
  • Mentor students as they develop an actionable strategic roadmap and leadership plan for responsible AI adoption in healthcare.
  • Maintain expectations for graduate-level scholarship, professional communication, academic integrity, appropriate citation, and transparent disclosure of generative AI use.
  • Submit final grades promptly at the conclusion of the session and complete other required academic and administrative responsibilities.
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