Healthcare Predictive Analytics Tool

About

In something as complex and people-centric as healthcare, sometimes every minute counts. Each late decision is a missed opportunity to spot signs of deterioration and take immediate action to save a patent's life. Therefore, physicians always need to stay one step ahead of the situation to detect and prevent critical conditions as soon as possible. It would help reduce patient risk, greatly improve outcomes, and lower overall costs.

Challenge

Therefore, physicians always need to stay one step ahead of the situation to detect and prevent critical conditions as soon as possible. It would help reduce patient risk, greatly improve outcomes, and lower overall costs.

Solution

To enable our Client to eliminate delayed care Softarex has developed a Predictive Analytics Tool. Using neural networks, machine learning, and deep learning algorithms, this software has allowed our Client to improve patient outcomes by accurately predicting a patient’s need for a particular medication, hospitalization, and surgery.

The system uses machine learning algorithms trained on subsets of historical data collected from CMS 1500 claims to identify patients who may require:

surgery within the next 1, 3, and 6 months,
hospitalization, or
a certain medication.

This is a custom solution

Does it look like it may be a good fit for you? Contact us, and we’ll build a custom solution tailored specifically to your business needs.

Project Results

Softarex’s Predictive Analytics Tool has brought healthcare providers the following results:

38% accuracy of surgery prediction;
98% NPV value;
Enhanced patient outcomes;
Reduced readmissions;
Enhanced staff planning;
Optimized day-to-day hospital operations.

Technical challenges

Development of complex algorithms for data processing in text format;
Development of algorithms and methods for processing thousands of patient records;
Development of data mining algorithms to extract valuable data from patients' medical records.