PredictaCare

Elevator Pitch: PredictaCare leverages cutting-edge AI to predict the need for ICU and ventilation in COVID-19 patients, helping hospitals optimize care and save lives by early identification of high-risk individuals.

Concept

AI-based predictive analytics platform for healthcare providers to identify high-risk COVID-19 patients

Objective

To enhance patient care by predicting the need for ICU and ventilation support in COVID-19 patients

Solution

Using LSTM and DNN algorithms with selected features to predict patient’s mortality, ICU requirement, and ventilation days accurately

Revenue Model

Subscription-based model for hospitals and healthcare facilities

Target Market

Hospitals, Intensive Care Units, healthcare providers dealing with COVID-19 patients

Expansion Plan

Expand predictive analytics to other critical care conditions beyond COVID-19

Potential Challenges

Data privacy concerns, integration with existing hospital systems, and ensuring model accuracy with diverse patient data

Customer Problem

Difficulty in early identification of COVID-19 patients requiring intensive care, leading to delayed treatment

Regulatory and Ethical Issues

Comply with healthcare regulations such as HIPAA; ensure ethical use of patient data and algorithm transparency

Disruptiveness

Improves healthcare outcomes by enabling early and accurate prediction, optimizing ICU and ventilator resource allocation