ED LOS: Predictive analytics to reduce emergency department length of stay for youth with behavioral health disorders
Reducing Emergency Department length of stay through population-based predictive modeling.
Projects
Rational coronary care unit triage for stable patients with NSTEMI
Predicting the development of in-hospital complications requiring ICU care in initially stable patients with NSTEMI.
Improving inpatient goals of care conversations
Increasing and improving how hospitalists discuss goals of care with their patients and their families.
Real-time cost transparency for providers and patients in value-based care environment
Allows surgeons access to comparative historical performance reports and “out of pocket” costs per patient.
Pallialytics: Using analytics to inform a palliative care population health management intervention
A viable predictive model to positively affect patient palliative care workflows.
PROMISE: Perioperative Risk Optimization with Machine Learning for an Improved Surgical Experience
Optimization of perioperative care through machine learning.
Dashboard for aggressive treatment among oncology patients at the end of life
We were seeking to understand the causes of over-aggressive care at the end of life. We identified that most aggressive care was due to over
Comprehensive Cardiac Device Safety System
Creation of a “single source of truth” for device information in Cardiology.
Implementation of a novel PSA screening algorithm
Integration of a novel, evidence-based PSA screening algorithm into the electronic health record (EHR), in order to better identify patients at risk for prostate cancer.