Predictive Model Development & Validation

PCCI’s team members have extensive experience in working with analytics and healthcare data and in the development, testing, and validation of a wide array of multi-institution, algorithm-driven practice protocols that cross diverse geographies and populations. We place a particular focus on AI/ML algorithms that identify those most at risk to enable early interventions. Working with frontline clinicians, 

PCCI has previously built, tested, validated, and implemented successful identification models in diverse settings (ambulatory, inpatient, community health). Examples include our work in identifying rising risk of pediatric asthma attacks and pre-term birth complications, and adverse drug events, sepsis, and early warning of deterioration for ICU patients. 

A key to PCCI’s success is our design, development, and deployment processes, which incorporate and leverage highly developed and tightly interconnected workflows between our strong team of doctoral-level-trained data scientists, statisticians, and engineers and our clinicians (MDs and PhDs).