OptumLabs—an open, collaborative center for research and innovation focused on improving patient care and value—received 28 proposals from six campuses, and is pleased to announce the final seven proposals which were chosen to receive a UC research credit for use with the OptumLabs Data Warehouse:
Joshua J. Fenton, UC Davis: Clinical Consequences of Dose Tapering in Long-term Opioid Users
Brent D. Fulton, UC Berkeley: Identifying Hospitalized Meningitis and Encephalitis Patients Who Would Benefit the Most from an Advanced Diagnostic Test
Thomas Lietman, UCSF: Study of Inflammatory Eye Disease to Use Nation-Wide Clinical Data to Better Detect US Infectious Eye Disease Epidemics
Stacy L. Pineles, UCLA: Examining How Various Pediatric Eye Diseases Affect the Risk of Injuries in Children
Connie Rhee, UC Irvine: Unraveling the Bi-Directional Relationship Between Thyroid Dysfunction and Kidney Disease Using OptumLabs Data
Siddharth Singh, UCSD: Comparative Effectiveness of Continuing vs. Stopping 5-Aminosalicylates in Biologic-Treated Patients with Ulcerative Colitis
Ming Tai-Seale, UCSD: Opportunities in Deprescribing and Advance Care Planning for Older Adults with Serious Illnesses
OptumLabs thanks all those who submitted proposals and encourages applicants to apply for an OptumLabs research credit in future years.
OptumLabs Data Warehouse research can also be conducted using grant funding, and the OptumLabs team can support grant applications/proposals with feasibilities and letters of support. Email Rick Little (OptumLabs Partner Relationship Executive) at Rick.Little@optum.com for the fee schedule or more information.