Health Policy and Analytics

Support for Real-World Population Health and Health Insurance Data Analysis

Venn diagram with Population circle overlapping with Insurance circle, to form a Health circle in the center.

Are you lacking informative and actionable population health and/or health insurance analyses?

Teus Health can help.

Are the terabytes of data managed by your information technologists, the alphabet of languages at the command of your data analysts, the Greek symbols of your statisticians, and the medical knowledge of your clinicians not converging to something you can read and act upon?

Teus Health can help.

Are you struggling to articulate the questions that you want to “ask the data”?

Teus Health can help.

Teus Health works to bring you the informative and actionable analyses that you need in today’s complex and rapidly-changing population health and health insurance arenas. We work with and develop the people and investments that you already have in place, providing as much, or little, support as you need.  We will identify and alleviate your analytic choke points, anywhere from initial data loading and exploration to the final PowerPoint presentation, and help you communicate the results of your analyses to your internal and external stakeholders. We will train your team and prepare documentation so that your team can continue your work without us.

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Dr. Tia Goss Sawhney is the owner and managing director of Teus Health. She has a doctorate degree in public health and a master’s in government administration.  She is a fellow of the Society of Actuaries and a member of the Academy of Actuaries. Dr. Sawhney has decades of experience working with multi-disciplinary teams to deliver and communicate executive-level analyses and real-world research studies, often developed from newly acquired or previously unleveraged data. She likes new challenges, people, and places. She gets work done, on-time.

Dr. Sawhney has worked with private insurance, Medicaid, and Medicare claims data; provider-owned health system data; various public health and government datasets (MEPS, NHANES, BRFSS, etc.); and various sources of demographics and enrollment data. She has particular expertise with healthcare cost data, risk adjustment, and value-based contracts. She has extensive consulting experience and is the author of numerous trade articles, issue briefs, white papers, and academic journal papers. Dr. Sawhney has helped clients present the unintended impact of policy changes to CMS. She has routinely worked with clinicians and particularly enjoys mentoring and teaching. From 2011-2015 she was responsible for operations, data analytics, and HIPAA for a statewide Medicaid enterprise data warehouse, reporting to the agency director and the governor’s office. She served as a National Quality Forum expert panelist on risk adjustment and socioeconomic status. She is a co-founder and co-instructor of the Claims Data Lab at the New York University (NYU) College of Global Public Health.