Adjunct Instructor, MHA Program, Medical Sciences

High Point University; United States; Remote; USD 2,000 - 3,000; Part time

Job summary

High Point University invites an adjunct instructor to teach MHA 5052, Artificial Intelligence (AI) and Healthcare Leadership, a three‑credit, six‑week online course for Summer 2026 Term II. The candidate will develop and upload content in Blackboard Ultra, deliver engaging online instruction, provide timely feedback, and guide students in applying AI concepts to healthcare leadership.

A doctoral or master's degree in healthcare administration or related field and prior graduate teaching

Qualifications

• PhD or Master’s in healthcare administration, health sciences, business, informatics, data science, AI, or closely related field.
• Experience teaching graduate or professional learners; online teaching experience preferred.
• Familiarity with learning management systems and online pedagogy.

Responsibilities

• Develop, organize, and upload course content in Blackboard Ultra before session start.
• Deliver engaging online instruction using lectures, activities, case studies, discussions, and other methods.
• Interact with students, provide timely feedback, and evaluate all required work.
• Assess learning outcomes and use assessments to drive improvement.
• Guide students in analyzing AI applications across clinical, operational, and administrative settings.
• Mentor students to develop an actionable strategic AI roadmap and leadership plan.
• Maintain high academic standards and transparent disclosure of generative AI use.
• Submit final grades promptly and fulfill other academic duties.

Skills

Online teaching

Curriculum development

Student mentoring

Effective communication

Education

Doctorate or Master’s in Healthcare Administration

Tools

Blackboard Ultra

Learning Management Systems

Job description

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.

Primary Course Topics

• The AI moment in healthcare and implications for leadership and career development
• Foundational AI and machine learning concepts, AI culture, and organizational readiness
• Healthcare AI use cases, strategic value, stakeholder trust, and ethical implementation
• Workforce transformation, reskilling, AI literacy, and the future of healthcare jobs
• Interoperability, data oversight, equity, sustainability, and responsible governance
• A capstone project focused on using AI to improve healthcare

Key Responsibilities of Adjunct Faculty

• 1. 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.
• 2. Deliver an engaging online learning experience using recorded lectures, applied activities, case studies, discussion boards, and other appropriate instructional methods.
• 3. Interact consistently with students throughout the session, provide timely and substantive feedback, and evaluate all required student work.
• 4. Assess achievement of course learning outcomes and use effective assessment strategies to support student learning and continuous course improvement.
• 5. Guide students in analyzing AI applications across clinical, operational, and administrative settings, including ethical, legal, regulatory, equity, workforce, and governance considerations.
• 6. Mentor students as they develop an actionable strategic roadmap and leadership plan for responsible AI adoption in healthcare.
• 7. Maintain expectations for graduate-level scholarship, professional communication, academic integrity, appropriate citation, and transparent disclosure of generative AI use.
• 8. Submit final grades promptly at the conclusion of the session and complete other required academic and administrative responsibilities.

Instructional Expectations

Course resources must be provided by the instructor, available online, or accessible through the university library system. Readings, recordings, discussions, activities, and assignments should align with course and program learning outcomes. Instruction should recognize differing learning needs, encourage problem-solving, and support acquisition of practical leadership competencies. The course should include meaningful opportunities for students to apply AI concepts to real-world healthcare leadership challenges. Student workload should be appropriate for a three-credit graduate course delivered in an accelerated six-week format.

Preferred Qualifications and Experience

• 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.
• Experience teaching graduate or professional learners; online teaching experience and familiarity with learning management systems are strongly preferred.
• Knowledge of responsible AI, ethics, privacy, data governance, equity, regulatory considerations, workforce readiness, and stakeholder engagement.
• Strong written, verbal, facilitation, and student-mentoring skills.

Course Learning Outcomes

• Explain foundational AI and machine learning concepts and their relevance to healthcare delivery, operations, and strategy.
• Critically assess AI applications to identify strategic value and leadership opportunities.
• Analyze ethical, legal, regulatory, trust, and equity challenges associated with healthcare AI.
• Evaluate organizational AI maturity and readiness for responsible, scalable implementation.
• Apply leadership and change-management frameworks to AI-driven innovation and transformation.
• Develop a strategic roadmap and leadership plan for implementing, evaluating, and sustaining healthcare AI initiatives.

Additional Information

The course is delivered fully online and asynchronously through Blackboard Ultra. Candidates may teach remotely. The selected instructor will collaborate with MHA program leadership to ensure consistency with the approved syllabus, program competencies, academic policies, and expectations for graduate education. At High Point University the faculty and staff are devoted to ensuring every student receives an extraordinary education in an inspiring environment with caring people. High Point University is a God, family and country school.

High Point University does not sponsor H1-B Visas.

High Point University prohibits discrimination on the basis of race, color, national or ethnic origin, religion, sex, age, disability, genetic information or veteran status and other legally protected statuses.

The University encourages all applicants to apply.