Hari Mahadevan

Hari Mahadevan
  • Lecturer

Contact Information

Teaching

Past Courses

  • HCMG857 - HC DATA AND ANALYTICS

    In healthcare or anywhere else across science, or business, or sports, the importance of data and analytics is virtually unquestioned. That, however, does not mean that it needs no elucidation. In this course, we begin with a fundamental understanding of the state of data and analytics in healthcare and then move onto examples of its use in converting from business questions to implemented solutions. We "sidestep" into the world of algorithms/machine-learning/AI and causal inference, but our focus is on business applications of these tools to the available data in the healthcare industry. As we discuss examples, we always seek to show how human creativity needs to be at the heart of the questions being probed. We highlight today's data universe in healthcare, the level of integration we have achieved, and the immensity of the remaining task, all with an eye to the business opportunities that exist now. We end with a showcasing of the art of the possible - in 2020 - and with (hopefully) a clear look ahead at what remains to be achieved. At the end of this course, students will: 1. Know the health care data landscape; 2. Understand the "loop" that drives modern evidence-based businesses; 3. Dive into real health care data analytics problems, developing a first-hand familiarity with basic tools and concepts; 4. Anticipate the business opportunities evolving in health care dataand analytics. Experience in data science if prerequisite not met. Other experience in data science can serve as a substitute for the prerequisites. Knowledge of basic statistics is a must. Coding experience is a plus. Experience coding to solve data/statistics problems is ideal. Further training in data science is a plus, and we welcome those with more advanced preparation.

  • HCMG899 - INDEPENDENT STUDY

    Arranged with members of the Faculty of the Health Care Systems Department. For further information contact the Department office, Room 204, Colonial Penn Center, 3641 Locust Walk, 898-6861.

Knowledge@Wharton

Investing in ‘Rockstars’: How One Fund Is Building Businesses with Women of Color

Wharton’s Katherine Klein speaks with Gayle Jennings-O’Byrne and Pialy Aditya, who are using their early-stage investment fund to boost tech startups owned by women of color.

Knowledge @ Wharton - 2020/07/28
Leading Diversity: Why Listening and Learning Come Before Strategy

As part of a new series called “Leading Diversity at Work,” Wharton’s Stephanie Creary and global diversity expert Rohini Anand discuss what it takes to create an inclusive culture.

Knowledge @ Wharton - 2020/07/28
Taiwan’s Tech-savvy Citizens Helped Flatten Its COVID-19 Curve

Taiwan’s government cannot take sole credit for flattening the curve during the early days of the coronavirus pandemic. A case study by Wharton’s Steven O. Kimbrough and Christine Chou of National Dong Hwa University explains how citizens banded together to help.

Knowledge @ Wharton - 2020/07/27