RITC-HLTH-718 - Evidence-Based Management in Health Care
Course Description
Health care systems are data-rich environments, but capturing the value in this data can present daunting challenges. In this course, students will draw on leading-edge technology and detailed sources of organizational and clinical data to drive decisions that lead to improved outcomes. Students will develop an inventory of commonly available health care datasets, describe the value and limitations of these datasets, and practice making decisions that improve processes and outcomes for patients. By developing an example implementation plan that connects an evidence-based decision to strategy, students will gain hands-on experience with the tools and techniques that enable evidence-based decisions in complex health care systems. This course assumes familiarity with introductory statistical concepts.
Learning Outcomes
By the end of this course students will be able to:
- Create new content or enhance existing content using generative AI tools.
- Optimize content based on customer feedback and analytics.
- Develop a plan to manage the ethical, legal, and business risk posed by the use of generative AI.
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Prerequisites
This is a credit-bearing, graduate-level, non-matriculated course. While all are welcome to enroll, this course was designed for working clinical and non-clinical health care professionals who desire to advance their careers and expand their expertise from individual patients to a population focus. This course will also be valuable for professionals working outside of health care who desire to apply their knowledge and experience to advance health care delivery.