At St. David’s HealthCare, we are passionate about data and, in particular, transforming health data into life-saving information to provide better care for our patients. At the core of data science and biomedical informatics research is the need to collect, analyze and interpret data in order to validate the specified objectives of any research study. At St. David’s HealthCare, we are committed to finding new and innovative ways to use data to drive extreme excellence in care and quality for our patients.
Hospital-acquired infections are the #1 fear of patients admitted to the hospital. Our data science teams are developing a suite of predictive models to help our doctors identify patients most at risk for any of 10 common hospital-acquired infections. These models identify subtle signals in data (labs, vitals, etc.) that are associated with increased risk for an infection, and can potentially provide real-time infection risk assessments. We are currently studying how to make these models perform better (more accurate) and how to best integrate them into clinical workflows to help physicians better manage their patients.
Adverse Drug Reactions (ADRs)
Adverse drug reactions – an event caused by taking a medication(s) – are a national epidemic. ADRs can lead to longer hospitalizations and billions in unnecessary health spending. The likelihood of an ADR is only greater in an era of increased poly-pharmacy treatment. The informatics and data science team is studying models and software-based tools to help doctors identify patients at risk for an ADR, and to help them better treat our patients by lowering the possible risk of an ADR. Hopefully, this research will lead to safer care for patients across the nation.
Stroke Epidemiology and Statistics
Stroke is the #3 cause of death and the #1 cause of preventable long-term disability in the United States. St. David’s HealthCare treats nearly 1,000 stroke patients annually. We are collaborating with Sarah Cannon Research Institute and HCA Neuroscience leadership to build a stroke research program. We are currently investigating stroke rates in patients that are on chronic anti-coagulation therapy, identify diagnostic interventions that reduce treatment times, and other areas. Please visit our Neuroscience research section for more information.