See What You’ve Been Missing:
Comprehensive, Individualized Data
In the last two years, Social Determinants of Health (SDoH) have become top-of-mind for everyone in the healthcare industry, from providers and payers to health IT and analytics policy makers. This conversation centers around the idea that it’s simply not enough to look only at a population’s health records — those events which have occurred inside of a provider’s office — in order to make the best possible decisions about their care. The average patient goes 4,000 hours between primary care visits, and it’s essential to understand what is happening during these times in conjunction with the information that appears in a traditional health record in order to provide value-based, high-quality care.
Large-scale data providers have attempted to fill in these gaps with publicly available SDoH demographic information that show tendencies for patients with certain levels of income, race, zip code, and health status. Although this data is an important piece of the larger puzzle, SDoH data is incomplete and unhelpful for two main reasons:
- SDoH data is just that — raw data — and is not specific or comprehensive enough to be immediately actionable.
- SDoH data is frequently isolated from any sort of analysis or actionable risk assessment.
- SDoH data is limited in its applicability, adding potentially valuable information to only 3-5% of the patient file.
In this white paper, see how CentraForce Health offers 107 actionable Comprehensive Determinants of Health (CDoH) and risk scores to visualize record-level assessments of a patient’s health risks. When combined with claims data, healthcare organizations can develop a 360-degree view of a patient and can know them in a holistic way.