Related Experiment Video
Updated: Feb 19, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
How health leaders can benefit from predictive analytics
11 DeGroote School of Business/School of Rehabilitation Science, McMaster University, Toronto, Ontario.
Abstract:
Predictive analytics can support a better integrated health system providing continuous, coordinated, and comprehensive person-centred care to those who could benefit most. In addition to dollars saved, using a predictive model in healthcare can generate opportunities for meaningful improvements in efficiency, productivity, costs, and better population health with targeted interventions toward patients at risk.
Related Concept Videos
Steps in Outbreak Investigation
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Sensitivity, Specificity, and Predicted Value
Sensitivity is the...
Overview of Biostatistics in Health Sciences
Health Information Technology and Healthcare Information System
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Purpose of Health Records II