Population Health
Analytics

Reporting requirements for MIPS and APMs are complex. Legacy EHRs are not a complete solution.

Integra Connect's population health analytics and reporting solution enables oncology practices to gain near real-time visibility into quality and cost performance, then efficiently report to required registries.

Holistic Patient View
It starts with a

holistic

PATIENT VIEW


Accountability for episode cost and quality requires transparency into the whole patient - across all co-morbidities and care settings. Integra Connect creates a holistic patient view by aggregating healthcare data from disparate clinical and financial data sources through our Data Transformation Exchange (DTX) - spanning claims, EHRs, labs, prescriptions, hospital admissions and more. Using advanced business logic and rules for data transformation, DTX then harmonizes the ingested data, reducing redundancies and aligning the data longitudinally around each patient. DTX leverages rules-based identity matching techniques to align patient records based on key identifiers, such as patient name and date of birth, then consolidates the records to create a single, holistic patient view.

Applying Population Health Analytics

Population Health Analytics


Next, our advanced population health analytics and reporting suite, Integra Connect Intelligence, kicks into gear to empower oncology practice leadership to measure and benchmark performance, identify outliers and address impactable cost drivers in support of practice transformation initiatives.

Integra Connect's population health analytics suite helps oncology practices to:

  • Identify, stratify and segment patient populations according to type of disease state, treatment regimen, or other meaningful attributes that drive outcomes;
  • Monitor key performance metrics in real-time across all levels, alongside national performance benchmarks. Key analytics focus on quality of care, providing near real-time visibility into practice performance under MIPS, the OCM, or other alternative payment models - and cost and utilization opportunities;
  • Employ predictive analytics that draw on machine learning algorithms to forecast which of a practice's current patients are at high, medium or low risk of future adverse events;
  • Identify high-impact cost improvement opportunities, from resource utilization to avoidable or manageable adverse events, and drill down to an individual patient level to focus improvement efforts for today and tomorrow;
  • Automatically collect and report on the required clinical and financial performance measures at the oncology practice, site, provider, and patient level to maximize improvement opportunities under value-based payment models.

Oncology practices can also access Integra Connect population health services that can scale from short-term consulting to long-term outsourced staffing solutions and enable critical operational functions.