Assistant Director, Clinical Informatics

POSITION SUMMARY/RESPONSIBILITIES:
Optimizes the transformation of data into proactive and predictive models to improve the quality of health care services and population health, enhance the patient experience of care, and maximize the use of health information systems. Works with University Health’s leadership, directors, clinicians, and other staff to evaluate, develop, and improve clinical programs and the effective use of data systems. Works collaboratively with University Health’s information management, analytical, and data management teams as well as internal and external partners to develop reports and statistical analysis necessary to manage and measure patient care processes by tracking clinical outcomes, costs, and utilization. Participates in health outcomes research and provides support and statistical consultation for University Health staff on projects involving comparative effectiveness studies and quality improvement initiatives. Develops processes and procedures for data analysis that promote quality clinical care and high patient satisfaction as well as improved financial outcomes for the University Health. Serves as the Subject-Matter Expert on Midas Information Systems.

EDUCATION/EXPERIENCE
Bachelor’s degree in information technology, business or clinical field is required. Master’s degree preferred. Midas Certified System Manager Certification is required. Minimum three (3) years related work experience in project management, data analysis, or market research. Managerial/supervisory experience preferred. Advanced experience with statistical analysis programs, analytical charting and graphing software, as well as data capture and storage software preferred. Proficient in Microsoft Office software, database, data analysis, and reporting products. Project management experience with medical chart review and clinical data abstraction within an integrated health system or academic medical center preferred. Operational experience with workflow analysis and process design, preferably related to electronic health records and health information exchanges is preferred.