Health Informatics studies
Developing a Risk Prediction Model and Evaluating the Economic Burden of Ankylosing Spondylitis in an Integrated Healthcare System
The primary aim is to develop an ankylosing spondylitis risk prediction model using data from Kaiser’s electronic medical records (EMR). We will also evaluate medical expenditure, health related quality of life and work productivity losses associated with ankylosing spondylitis.
Principal Investigator:
Aniket A. Kawatkar, PhD, MSFunding Source:
Novartis Pharmaceuticals CorporationFunding Years:
2020 - 2022Mental Health Research Network II
We have established a Mental Health Research Network including 13 established public-domain research centers based in integrated not-for-profit health systems. These systems provide care to a diverse population of 10 million people in 11 states, and they share rich and compatible data resources to support a range of effectiveness research. Diversity of member demographics, insurance coverage, and organization of health services make this network an ideal environment for studying variation in care, comparing effectiveness and cost of treatments across practice environments, and studying dissemination and health policies. Participating research centers are experienced in a wide range of clinical areas and research methods. The long-term objectives are to expand the Mental Health Research Network to include additional health systems and external investigators, to conduct multi-site observational and experimental studies of comparative effectiveness, to develop and evaluate methods for dissemination and implementation, and to become a national resource of research methods and effectiveness evidence for researchers, patients, providers and healthcare leaders.
Site Principal Investigator:
Karen J. Coleman, PhD, MSFunding Source:
National Institute of Mental Health (NIMH)Funding Years:
2014 - 2019Short and long-term consequences of wildfire for Alzheimer’s disease and related dementias
Our project objective is to examine the effect of wildfires from 2008–2020 on cognitive health of older adults and to identify factors that ameliorate or exacerbate adverse health consequences.