RESEARCH

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.

Physicians spend many hours per day documenting patient encounters. It has been reported that physicians spend over 50% of their workdays in the electronic health record; averaging about 4.5 hours per day in clinic and 1.5 hours working outside of work hours. In addition, documenting during an encounter reduces the direct interaction with patients. The advent of Artificial Intelligence (AI) provides an opportunity to ease this documentation burden, and potentially improve physician accuracy and efficiency and patient satisfaction with their care experience. Kaiser Permanente Southern California has adopted an AI tool called Abridge4 to record, document, and summarize patient encounters. The purpose of this study is to understand physician experiences with this tool, including barriers to using the tool, and to explore the impact of the tool on patient satisfaction with care, physician burnout, and physician use of the electronic health record by addressing the following aims: 1. What is the Reach and Adoption of the Abridge AI Tool by medical center and specialty? 2. What physician factors are related to Reach and Adoption? 3. What is the overall impact of the Abridge AI Tool on providers and patients controlling for things related to adoption in #2? and 4. What is the overall impact of the Abridge AI Tool on provider workload?

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.

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.

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.