Uncovering insights that enable action using innovative analytics and the Care Pathways framework
Health Dialog’s powerful analytics and predictive models were developed with one goal—to identify actionable health management opportunities that improve people’s lives and reduce the cost of healthcare.
Unlike traditional methodologies, our analytics combine raw healthcare data—including claims, health risk assessments, biometric screenings, and EMR data—with unique assets, such as census data (to understand geographic, cultural, language, and socioeconomic factors), financial data (to assess purchasing decisions), and the Dartmouth Atlas (to predict the likely use of medical resources and services based on geographic location).
This has enabled us to develop comprehensive profiles with up to 1,500 clinically-relevant facts for every individual in a population. The result is a deeper understanding of each person’s clinical needs, opportunities, risks, likely behaviors, and receptivity to change.
Additionally, our analytics are used to position individuals along our Care Pathways framework (also known as clinical pathways), which analyzes a patient’s progression along a disease trajectory. Our analytics can pinpoint at which stage of a condition a specific individual is currently in, such as pre-diagnostic, onset, early progressive, or late progressive—and predict their likely progression toward higher-risk and higher-cost cohorts. This assessment also helps us tailor specific clinical interventions to an individual’s needs.
Our analytics and Care Pathways framework help to stratify a population based on key risk indicators, including:
- Conditions and clinical factors
- Gaps in care and quality
- Likelihood of noncompliance with quality standards
- Risk of elective surgeries and other specific treatments
- Receptivity to behavior change or modification
- Cost predictions in the next 12 months
- Likely progression across a disease trajectory
- The likelihood of incurring a hospital readmission
- Wellness indicators, such as the likelihood of poor nutrition or tobacco use