Dr. Hogarth is a board-certified Internist and Professor of Biomedical Informatics at UCSD where he serves as Clinical Research Information Officer. In that role, he leads a biomedical informatics team managing and optimizing information systems for clinical research. Dr. Hogarth has been involved in several large-scale research informatics initiatives including the Athena Breast Health Network (www.athenacarenetwork.org), the I-SPY2 adaptive breast cancer trial (www.ispytrials.org), and the pSCANNER clinical data research network (pscanner.ucsd.edu). Dr. Hogarth has also been a national leader in the re-engineering of vital statistics data systems. His public health informatics team developed the California Integrated Vital Records System (CalIVRS), which processes over 750,000 annual vital events. His team also developed the Maryland Electronic Death Registration System (MD-EDRS). Dr. Hogarth’s current interests include improving access to vital statistics data for research, enabling research analysis in secure cloud-based infrastructures, and the use of wearables/sensors as digital phenotypes in clinical trials.
ML-based clinical decision support technology is becoming more popular among healthcare provider organizations due to its ability to analyze large volumes of information, ensure that key data don’t escape the attention of the care team, and reduce alert fatigue. Unfortunately, most health systems are unprepared for how to select and deploy these new solutions. This session will discuss steps that hospitals and health systems should take to avoid mistakes and pitfalls.