Apollo Hospitals AIEWS

• A triphasic machine learning model, developed using Indian data, demonstrates superior accuracy compared to conventional risk scores.
• Feedback Loop from the prospective use in patients
• Comprehensive AI-Augmented Pathway
• Validated at different National Institutions
• Integrated Clinical Decision Support Tool (What Next to Do)
• QMS: ISO 13485:2016 Certified, MDSAP Certification (In process)

Interpretation & Adoption Message

• AI Algorithm + Clinicians: The Adult Early Warning System is a risk assessment tool that has been developed as an adjunct tool for physicians to identify the global/holistic risk for the patient’s clinical deterioration/mortality in the next 1 hour/7 days, respectively.
• Risk Identification and Prevention: This risk assessment tool provides a mortality risk prediction using clinical and laboratory parameters at Wards and Remote Health. This model is specially tailored to ensure that it can be used in low-cost settings to improve triage and resource allocation.
• Where to use: This risk assessment tool is intended for use in Inpatient settings and remote care settings to trigger a Rapid Response Team (RRT) or medical emergency team.