College of Medicine

- Admissions Overview
- - MD Program
    UNMC's rigorous academics, diverse clinical experiences and supportive environment put you on the path to becoming a skilled, compassionate physician.
  - How to Apply
    UNMC prepares medical degree students to meet the needs of patients through clinical practice, biomedical science and research, problem-solving and compassion.
  - Contact Us
    Review contact information for the Office of Admissions and Student Affairs in the College of Medicine at UNMC.
  - Verification and State Licensure
    Review opportunities for state licensure following completion of the MD program in the College of Medicine at UNMC.
- - MD-MBA Program
    A combined MD-MBA degree equips you with the tools you need to become highly skilled in both management and medicine.
  - MD-MPH Program
    Pursue your passion for public health and medicine with a combined MD-MPH and help solve complex health problems.
  - MD-PhD Program
    Do you have a passion for caring for patients and for research? Consider the dual MD-PhD degree.
- Education Overview
- - Curriculum
    Our curriculum produces physicians whose foundation in basic, clinical, and health systems sciences prepare them to promote health and reduce patient suffering.
  - Graduation Requirements
    Review requirements for students pursuing an MD at the UNMC College of Medicine to graduate and receive their degree.
  - Objectives
    The objectives of UNMC's medical degree program are to prepare you for success in primary care or specialty fields.
  - Community Service
    Active participation in community service provides critical opportunities to apply skills and knowledge gained in medical school and develop a sense of empathy.
- - Enhanced Medical Education
    Enhanced Medical Education Tracks offer medical students an opportunity to perform an in-depth study of an interdisciplinary field of medicine.
  - MD Honor’s Thesis Program
    The MD honors thesis encourages students to engage in scientific research during medical education and become eligible to graduate with honors.
- Research Overview
- Internal Grants
  The College of Medicine has a variety of research-related grant and award opportunities available to UNMC faculty.
- Comparative Effectiveness Research
  The Comparative Effectiveness Research (CER) program identifies knowledge gaps in the effectiveness of clinical care and improves CER in these areas.
- Great Plains IDeA-CTR
  The Great Plains IDeA-CTR is a collaborative effort between nine regional institutions that provides training, resources. and funding to regional researchers.
- Research and Development Committee
  The Research and Development Committee handles funding opportunities for faculty, including the Bridge Funding program, and student research opportunities.
- Student Opportunities
  The College of Medicine provides a variety of research opportunities for both current and prospective UNMC students.
- Residencies & Fellowships Overview
- Graduate Medical Education Programs
  UNMC's dozens of programs--including nearly 20 in internal medicine--allow residents and fellows a variety of specialties.
- House Officer Resources
  Find information for residents and fellows, including salaries, benefits and nearby housing.
- House Officer Wellness
  Wellness resources for residents and fellows include an assistance program and a private wellness lounge.
- Research
  We aim to facilitate house officers’ involvement in research in the areas of patient safety, quality improvement, healthcare disparities and education research.
- Salary and Benefits
  Paid vacation and professional leave, health insurance and meal allowances are just a few of the benefits residents receive in addition to their yearly salary.
- Contact Us
  Reach out to the Graduate Medical Education office for information about benefits, contracts, orientation or graduation.
Departments
Patient Care

John R. Windle, MD

Richard and Mary Holland Presidential Chair for Healthcare Artificial Intelligence
Associate Vice Chancellor for Healthcare Artificial Intelligence
Professor, UNMC Division of Cardiovascular Medicine
Inaugural Director, Center for Intelligent Health Care

Research Profile

John R. Windle, MD

John Windle, MD, is UNMC's first associate vice chancellor for healthcare artificial intelligence. He also holds the Richard and Mary Holland Presidential Chair for Healthcare Artificial Intelligence.

Dr. Windle is the founding director of the UNMC Center for Intelligent Health Care. He is co-chair UNMC’s Campus Steering Committee for Healthcare Artificial Intelligence. He also serves as liaison to the University of Nebraska AI Institute.

Dr. Windle is a professor in the UNMC Division of Cardiovascular Medicine, which he served as chief for 16 years.

He joined UNMC in 1985 and established the first adult electrophysiology program in Nebraska. He began projects into digitizing the EP lab and working on advanced cardiac mapping.

In the 1990s, he became involved in quality improvement and was named associate dean for continuing medical education with a charge to bring computer-based education online. The emergence of the electronic medical record provided an opportunity to move learning into the clinics.

Dr. Windle has worked for many years to make digital technology work for clinicians with extramural funding from the National Science Foundation, National Institute for Standards and Technology, the National Library of Medicine, and the Agency for Health Care Quality and Research.

Education

Medical School: UNMC College of Medicine, 1979
Residency: Internal Medicine, UNMC College of Medicine, 1982
Fellowship: Cardiology, Indiana University Hospitals, 1985

Patient Care

Clinic Locations: Heart and Vascular Center at Durham Outpatient Center; Heart and Vascular Center at Oakview Health Center

Research

Dr. Windle's research interests are in optimizing the electronic health record, and developing artificial intelligence solutions that make clinicians more efficient and effective, and patients safer and more satisfied with their care with an emphasis on explainable AI and causality algorithms.