Prosperdtx

Digital therapeutics deliver care recommendations and resources directly to cancer patients using evidence-based software to manage and prevent a broad spectrum of diseases and disorders. Used in concert with and to support physician care, digital therapeutics use patient data to intelligently optimize patient care and health outcomes.

The Prosperdtx digital health platform aggregates and harmonizes both patient electronic health records and unstructured real-world data collected from the patient into an interoperable HIPAA compliant longitudinal patient record. Our proprietary causal-inference machine learning approach creates individual computational phenotypes that generate actionable care recommendations delivered to the patient via our patient engagement applications.

Prosperdtx combines technology and evidenced-based medicine to offer cancer patients precision digital support 24/7 - enabling payors to:

• Reduce the overall cost of care
• Enhance and support current medical treatments
• Optimize patient engagement with navigators and persoanl care team
• Improve provider network efficiency
• Support value- and outcomes-based care initiatives
• Expand care delivery outside of traditional clinic settings
• Improve member experience and satisfaction

"Identifying Interventions That Reduced COVID-19 Mortality in Long-Term Care Facilities: A Causal Inference Analysis"

Prosperdtx completed a case study validation of the use of casual inference machine learning on real-world patient data and presented results at the Professional Society for Health Economics and Outcomes Research (ISPOR) in May 2022.  Comprehensive real-world patient records of 4,091 high-risk COVID-19 patients living in assisted living/nursing faclities was the subject matter of the analysis.  Prosperdtx identified key routine supportive care interventions with a beneficial impact on high-risk COVID-19 patient survival.