Researcher · Division of Health AI
Diego Gonzalez Garcia-Torres
Diego Gonzalez Garcia-Torres is an IT&S Project Coordinator at the Division of Health AI, part of the Feinstein Institutes for Medical Research at Northwell Health. He builds the software and infrastructure that move the division's models out of research and into the hospital, and does the work that keeps them running: data pipelines, deployment, monitoring, security review, and integration with clinical systems. He shadows physicians in the hospital to keep the work grounded in how care is actually delivered.
He supports the EHR-based model for predicting in-hospital deterioration, now running silently across multiple Northwell hospitals, and a nursing workforce model that forecasts staffing demand and attrition up to 12 months ahead. He also leads an early-stage non-contact patient monitoring project. Alongside these he builds internal tools for the lab, from a chart-annotation app for physicians to an ECG screening tool and utilities for grant preparation and model training.
2 projects0 papers
- Role
- IT&S Project Coordinator
Research projects
Research projects
In-hospital deterioration prediction (EHR)
The Northwell In-hospital Deterioration Model (NIDM) is an EHR-based deep learning model that continuously estimates a patient's risk of a deterioration event, unplanned ICU transfer, intubation, or death, within the next 48 hours from routinely collected electronic health record data. Deployed in silent mode inside Northwell's Epic environment for prospective monitoring, NIDM is built to surface the patient-specific factors behind each prediction, so care teams see not only who is at rising risk but why, early enough to act.
Point-of-care AI
Nursing workforce optimization
Machine learning models using DeepAR probabilistic forecasting predict nursing workforce demand across Northwell's hospital units up to 12 months ahead, supporting preemptive hiring and staffing decisions across diverse specialties.
Operational AI
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