Jingyi Qi, Mph

Jingyi Qi, Mph

Senior Decision Support Analyst @ Highmark

About Jingyi Qi, Mph

Jingyi Qi, MPH, serves as a Senior Decision Support Analyst at Highmark Inc., where she has worked since 2022. With a background in healthcare analytics and a Master's degree in Public Health, she has held various roles in decision support and data analysis across multiple organizations.

Work at Highmark

Jingyi Qi currently serves as a Senior Decision Support Analyst at Highmark Inc., a position held since 2022. Prior to this role, she worked at Highmark Wholecare for five months in the same capacity. Her experience at Highmark Wholecare also includes a year as a Decision Support Analyst and a year as an Associate Decision Support Analyst, both contributing to her expertise in healthcare analytics.

Education and Expertise

Jingyi Qi holds a Master of Public Health (MPH) degree in Health Care Management from Yale School of Public Health, completed from 2018 to 2020. She also earned a Bachelor of Arts in Human Health, Mathematics, and Economics from Emory University between 2014 and 2018. Her educational background supports her strong proficiency in analytics, particularly with tools such as SAS/SQL and Tableau, which she utilizes for healthcare data management.

Background

Jingyi Qi has a diverse professional background that includes various internships and roles in healthcare and analytics. She has worked as a Sales and Marketing Intern at Taikang Insurance Group in Beijing, China, and held multiple positions in the United States, including roles at A.G. Rhodes Health & Rehab and US Pharmacopeia. Her experience spans several areas, including client outreach, medical records, and health technology.

Achievements

During her career, Jingyi Qi has automated enrollment reports for providers on a full-risk model, improving data processes and efficiency. She developed pre-contracting dashboards for Medicaid and Medicare shared-saving providers, enhancing contracting strategies through the use of SAS/SQL and Tableau. Additionally, she has advocated for data-driven media communications to transform healthcare interactions.

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