ADHA 7080 Human-Centered Healthcare: Executive Perspectives for AI Implementation

AI for healthcare leaders is designed to equip healthcare leaders with the knowledge and skills necessary to integrate Artificial Intelligence (AI) into healthcare business strategy effectively. Students will explore the use of AI-based tools and applications to enhance business productivity, decision-making, and innovation. Throughout the course, topics such as Machine Learning basics, Neural Networks, Deep Learning, Computer Vision, Natural Language Processing, and Robotics are covered. Additionally, the course provides an in-depth analysis of real-world case studies, emphasizing the impact of AI in healthcare and its role in driving business growth and transformation. Special attention is given to the ethical and moral responsibilities associated with AI deployment, ensuring students understand the importance of responsible AI use in healthcare contexts. In summary, in this course, we study all the possibilities with AI, converting them into tangible projects to create values, and human contributions to implement them.

Course overview

Department
Advancing Studies
School
ADV
Credits
3
Level
Graduate
Offered
Periodically

Course evaluations

Response-weighted averages from Boston College’s official course evaluations (Avalanche/Blue).

Course rating
4.11 / 5 · Very Good
9 responses
Instructor rating
3.67 / 5 · Very Good
9 responses
Terms evaluated
2
Most recent: Summer 2025

Scales: overall ratings run from 1 (poor) to 5 (excellent); agreement questions from 1 (strongly disagree) to 5 (strongly agree); weekly effort from 1 (up to 1 hour) to 5 (10 or more hours).

Evaluations by term and instructor
TermInstructorCourse overallInstructor overallWell organizedClear learning objectivesIntellectually challengingHelpful assignmentsApplicable beyond courseAttendance necessaryWeekly effortResponses
Summer 2025Attila Hertelendy3.93.94.74.64.63.94.43.07–9 hrs/week7 of 13
Fall 2024Attila Hertelendy5.03.05.05.04.05.05.05.0—2 of 4

Data freshness

Course and evaluation data last updated 2026-10-09. Source details and limitations are documented in Data Sources and Methodology.

Instructors