William W. Feaster
William W. Feaster, MD, MBA, CHCIO-eligible
Dr. Feaster is Chief Health Information Officer at CHOC Children’s Hospital. He came to CHOC in 2012 as CMIO. In this role, he has guided the implementation of a fully integrated EMR for both the inpatient and outpatient clinics at CHOC. As a result, CHOC is both MU Stage 2 and 3 ready and the organization was recently recertified as a HIMSS Stage 7 EMRAM hospital. CHOC additionally was awarded the Nicholas E Davies Award of Excellence in 2016 for utilizing health information technology to improve healthcare outcomes.
Dr. Feaster has been involved in Information Technology for over forty years, and has helped several hospitals where he’s worked implement information systems. Dr. Feaster received his MBA in 1993 and has held several administrative positions including Medical Director of Women’s and Children’s Services at Sutter Health in Sacramento, Sr. VP, CMO and CIO, Community Medical Centers in Fresno, and VP of Ambulatory Services and Executive Director of the Pediatric/OB Faculty Practice at Lucile Packard Children’s Hospital.
During his clinical career, Dr. Feaster has maintained busy practices in Pediatric Critical Care and Pediatric Anesthesia. He is Board Certified in Pediatrics, Anesthesia and Clinical Informatics.
In his expanded role as CHIO, his focus has added designing and developing technology to support population health management, both for current and future at risk populations. He has also developed and manages both the analytics function as well as an active data science program for CHOC, and was recently appointed to the position of Scientist at the Goergen Institute of Data Science at the University of Rochester. He is very involved in CHOC’s innovation programs and focus on applying artificial intelligence to healthcare.
16:00 - 17:00
- Datadriven förändring
- Exempel från verkligheten (goda/dåliga) / Innovativ/forskning / Nytta/effekt / Patientsäkerhet / Personcentrering, samverkan över organisationsgränser / Test/validering / Välfärdsutveckling
- Forskare (även studerande) / Tekniker/IT/Utvecklare / Verksamhetsutveckling / Vårdpersonal
- Framtidens omsorg och vård
It is estimated that EMR data worldwide will exceed 2,000 petabytes by 2020 and 80% of that data is unstructured.
The randomized control trial has new competition as the gold standard for clinical research.
Randomized Controlled Trails is the historical standard for medical research. It is based on the development of hypothesis and when properly designed and conducted, confounding factors are eliminated, and casual effects can be discovered. However, RCTs often depend on narrow patient inclusion criteria and have prohibitive cost and duration. Furthermore, there may not be sufficient sample size to obtain statistical power. RTCs are not designed to provide high performing predictive models. Observational studies on historical “big data" provide an alternative.
Data science to the rescue
Predictive analytics aim to take advantage of this data through computational big data science
It opens for considering all available data on all qualifying patients. This again gives the opportunity to explore associations and statistical interactions between all variables, to then use a data-driven and statistically sound approach to determine the most important set of variables that impact care for the event of interest. This enables CHOC to predict future occurrences of an event or classify patients at high risk of poor outcomes. Last but not least it makes it possible to intervene on patients identified to be high risk and improve quality of care outcomes.
In his presentation Dr. Feaster will share CHOC’s research results on patient satisfaction and readmission risks, and how these studies are guiding the hospital to improve care pathways and clinical outcomes.