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Quality and Patient Safety Hospital Data… at UT Health San… · San…
Job Description
The Analyst-Data Science Quality supports the Office of the Chief Medical Officer (CMO) and the Sr Director of Quality and Patient Safety by extracting and analyzing data from electronic medical records (EMRs) and other internal and external data sources. The analyst transforms complex data into actionable insights, leveraging technology to ensure the information is accurate, meaningful, and easily accessible to stakeholders. This role plays a key part in supporting all Quality Improvement (QI) initiatives across the health system by identifying trends, measuring performance, and informing strategies that improve patient outcomes, enhance safety, and optimize healthcare delivery.
Responsibilities
1. Will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change.
2. Collaborate with Quality Improvement teams to define metrics and develop data-driven solutions that support clinical and operational QI initiatives.
3. Analyze large datasets to identify trends, patterns, and opportunities for improving patient outcomes, reducing costs, and enhancing service delivery.
4. Assists with strategic intelligence development through report writing, dashboard development, and front-end scripting, using a variety of platforms including PowerBI, SQL, and Excel.
5. Design, develop, and maintain dashboards and reports to monitor key performance indicators (KPIs) related to quality improvement goals.
6. Translate complex data into actionable insights for both technical and non-technical stakeholders through visualizations, presentations, and written reports
7. Utilize statistical methods and modeling techniques to support evidence-based decision-making.
8. Integrate different data sources, creating one unified, manipulable data source.
9. Work with internal departments and external partners to acquire, validate, and integrate data for analysis.
10. Maintains up-to-date knowledge by reading technical journals, and attending seminars, internal user groups, and workshops to learn about new developments and changing technology trends.
11. Stay current with healthcare regulations, quality measurement standards (e.g., HEDIS, NCQA, CMS), and industry best practices.
12. Collaborates with other departments in a mentoring and guidance role on the data tools available.
13. Performs other related work as required.
Qualifications
Qualifications
• Bachelor’s degree in a quantitative field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data Science, Business Analytics, Epidemiology, Public Health or a related discipline.
• An advanced degree in Business, Science, Finance, Mathematics, Economics, Epidemiology, Public Health or related field is a plus and may substitute for some experience.
Experience
• Minimum of 2 years of experience in data analysis, analytics, or functional business experience within the healthcare industry
• Demonstrated experience supporting healthcare quality improvement efforts is highly desirable.