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Unofficial and not affiliated with Duke. A snapshot of classes that were open on 22 Oct 2026. Seats change daily, so confirm in DukeHub before you plan around anything.

Courses / Health professions / MMCI

MMCI 540

Data, Information, and Health Care Transformation

Charles Scales

Description from DukeHub

Organizational decisions, including accreditation, quality management, and reimbursement would be improved by relevant, timely, accurate, and complete analyses of available data for decision support. This course is designed to introduce theoretical knowledge and practical skills to evaluate and conduct analysis for secondary data available in health care settings. Using epidemiology methods as a framework, you will learn how one can evaluate or conduct secondary data analysis. You will recognize the principles of epidemiology methods applicable to health services and outcome analyses, and understand the terminology and methods for research using secondary data. Threats to validity including selection bias, confounding, information bias, and methods for their control will be discussed in a variety of settings emphasizing practical considerations.

Skills

  • data and statisticsAI review: "practical skills to evaluate and conduct analysis for secondary data"

AI-resilient: 1 of 5

  • No: Physical, lab or field work
  • No: Live work with people
  • Yes: Judgment someone is accountable for · "decisions"
  • No: A craft you practice with your hands or body
  • No: Small, in-person format

The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works

More in MMCI

All MMCI courses · All of Health professions