Personalizing Patient Care in Kerala
30% reduction in readmission rates
The Challenge
A major hospital network in Kerala struggled with high patient readmission rates for chronic conditions. They needed a way to identify at-risk patients post-discharge and intervene with proactive care before their conditions worsened.
The Solution
We built a predictive machine learning model using historical patient data (EHRs), demographics, and clinical notes. The model identifies patients with a high probability of readmission within 30 days. This enabled the care team to provide targeted follow-ups, personalized health plans, and remote monitoring for high-risk individuals. The model was carefully designed to mitigate biases and ensure fairness across different patient demographics.
Key Results
30%
Reduction in 30-day readmission rates
25%
Improvement in care plan adherence
85%
Accuracy in predicting high-risk patients
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Let's discuss how we can tailor a solution for your organization.