Value-Based Care Platform
Challenge
Solution
The platform:
- Incorporates multiple risk-associated features
- Generates daily recommendations for providers aimed at improving individual patient outcomes.
- Provides pre-built care pathways that allow for fully customizable coordination of care across multiple settings;
- Allows users to distribute tasks within teams and empowers patients and their caregivers;
- Offers a mobile app that provides communication with patients and real-time patient support.
The system:
- Is based on neural networks and machine learning algorithms;
- Routes recommendations to an EMR system 24/7;
- Optimizes physician behavior, since patient outcomes correlate with physicians’ acceptance or rejection of recommendations.
This approach minimizes health risks to chronic patients. Risk adjustments are made on an ongoing basis to the care process and, therefore, to the providers’ work.
Project Results
The Value-based System developed by Softarex has provided the following results to healthcare providers and patients:
- 30% fewer in-person doctor visits;
- 10-15% reduction in care and treatment costs;
- 15-20% increase in patient satisfaction and healthcare outcomes.
Technical challenges
- Integration with Epic to enable the exchange of all necessary medical information;
- Development of visual tools for care scenarios creation;
- Development of AI-based recommender that generates recommendations for physicians based on experience gained from treating other patients with similar diseases;
- AI-based patient population analytics and predictive modeling for identifying possible patient care needs;
- Working with large databases of patient data.