Value-based care models, such as CMS' Oncology Care Model, and the 35 payment reform models found in a 2020 Community Oncology Alliance study, aim to provide higher-quality, more highly coordinated oncology care, at the same or reduced costs. Community oncology practices on the path to deliver value-based care need an analytics solution that empowers high quality, patient-centered and proactive care.
As part of Navista™ TS, CORE™, an AI-enabled population health technology by Jvion, helps oncology providers improve care and lower costs for high-risk, modifiable patients by mining unique socioeconomic and health data sets.
Gain prescriptive AI insights that drive meaningful clinical outcomes
Data
- Health
- Socioeconomic
- Behavioral
- Environmental
- Claims
Actionable clinical intelligence
- Identify patients on the cusp of an adverse event or outcome
- Examine influencing risk factors that can be changed
- Deploy personalized and prioritized recommendations that improve the outcome
Prevent adverse events and deliver the right level of care in each patient's journey
Find and treat patients at risk of:
- 30-day mortality
- 30-day pain management
- 6-month depression
- Readmission
- 6-month deterioration
- 30-day avoidable admission
- 30-day ED visit