Case Study
How an ACO Optimized Its Post-Acute Care Network and Saved $6 Million
This ACO used analytics to reduce unnecessary utilization and save $6 million over four years.
Population Health Analytics
Population Health
Analytics for ACOs
Turn fragmented clinical, claims, and operational data into trusted insights to improve cost, quality, and performance.s
Population health analytics enables value-based care organizations to turn fragmented clinical, claims, and operational data into clear, actionable insight. When data is incomplete or inconsistent, it becomes difficult to understand cost drivers, measure performance, and act with confidence.
Koan Health unifies that data into a single trusted view so you can identify opportunities, reduce unnecessary utilization, and improve quality and financial outcomes with confidence.
What Is Population Health Analytics?
Population health analytics is the process of aggregating and analyzing clinical, claims, and operational data to identify trends in cost, quality, and utilization across a defined patient population.
For ACOs, that visibility helps teams spot performance gaps, prioritize interventions, and improve outcomes.
How Does Population Health Analytics Improve Performance?
Uncover what’s driving cost and utilization
Identify variation across providers and service lines to pinpoint outliers.
Reduce unnecessary spend
Address anomalies and low-value care with clear, data-driven insight.
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Improve quality and care outcomes
Close gaps and support better patient management across your population.
Stay aligned to value-based benchmarks
Monitor performance against program goals to protect shared savings.
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Make decisions with confidence
Act on trusted, transparent data—not assumptions.
Key Capabilities of a Population Health Analytics Platform
Population health analytics should do more than report performance. It should help accountable care organizations identify priorities, guide interventions, and measure improvement over time. These core capabilities enable care teams and operational leaders to translate data into action.
Cost and Utilization Analytics
Understand where costs are rising and why
Analyze utilization patterns across services, providers, and populations to identify variation.
Reduce unnecessary spend and improve efficiency.
Network Leakage Analysis
Identify where patients are seeking care outside your network and the impact on cost and continuity.
Pinpoint opportunities to strengthen referral patterns and keep care within your system.
Improve care coordination and protect revenue.
Post-Acute Care Optimization
Evaluate performance across post-acute providers to identify variation in cost, quality, and outcomes.
Guide referral decisions and improve care transitions.
Reduce readmissions and total cost of care.
Provider Performance Analytics
Measure performance across providers with clear, actionable benchmarks.
Identify variation in cost, utilization, and quality to support improvement.
Align providers to value-based care goals and improve performance.
Population Health Management and Risk Stratification
Segment your population by risk to identify high-need patients and care gaps.
Focus interventions where they will have the greatest impact.
Support better clinical and financial performance.
How Does Koan Health Deliver Trusted Insight?
Koan Health unifies clinical, claims, and operational data into a clear, consistent source of truth, so teams can pinpoint performance drivers and take targeted action.
Trace metrics back to source data
Never question where the data originated. Data integrity is manintained throughout our datasets.
Analyze performance by value-based care agreement
Understand trends by facility, provider practice, clinicians, and patients.
Identify variations by service line
Drill into cost and utilization patterns across your network.
Purpose-built for ACOs
Koan Health is an expert in helping ACOs achieve performance results.
How to Choose a Population Health Analytics Platform
Not all analytics platforms deliver the same level of visibility, transparency, or actionability. When evaluating solutions, focus on the capabilities that most directly affect data trust and decision-making.
Data accuracy and transparency
Can you trust the numbers and understand how they were calculated? Koan Health is designed to make methodology clear, so your team can evaluate performance with confidence.
Unified data integration
Does the platform bring together clinical, claims, and operational data into a single view? Fragmented data leads to inadequate decisions. Koan Health unifies your data sources into one trusted foundation.
Actionable insight
Does the platform help you move from analysis to action? Koan Health surfaces cost, utilization, and quality trends to guide targeted interventions.
Alignment to value-based care
Does it support the measures and goals that matter most to ACOs? Koan Health is built to help teams track performance against the metrics tied to shared savings and improvement.
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Koan Health delivers meaningful, actionable data—along with the insight and experience we need to put it to work. The team is great—reliable, responsive and readily available.Travis Turner, SVP Clinical IntegrationMary Washington Healthcare
Frequently Asked Questions About Population Health Analytics
What data is used in population health analytics?
Population health analytics typically integrates clinical, claims, and operational data. Combining these sources provides a comprehensive view of patient populations, enabling more accurate performance measurement and decision-making.
How do ACOs use population health analytics?
ACOs use population health analytics to monitor cost, utilization, and quality performance across their attributed populations. This insight supports risk stratification, care management, and performance improvement strategies that drive shared savings and better outcomes.
How does population health analytics reduce costs?
Population health analytics helps reduce costs by identifying unnecessary utilization, variation in care delivery, and high-cost patient segments. With this insight, organizations can target interventions that improve efficiency and lower the total cost of care.
What should healthcare organizations look for in a population health analytics platform?
Healthcare organizations should look for a platform that brings clinical, claims, and operational data together in one view. The best platforms also make the data visible and actionable, so leaders can move from insight to intervention with transparency.
How often should population health data be refreshed?
Population health data should be refreshed often enough to support timely decisions and keep teams working from current information. When data is updated regularly, organizations can spot trends sooner, respond faster, and manage performance more proactively.
Can a population health analytics platform analyze performance at the provider, cohort, and population levels?
Yes. A robust population health analytics platform should enable analysis at the provider, cohort, and population levels so ACOs can identify variation, compare outcomes, and prioritize the most meaningful opportunities for improvement.
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See Population Health Analytics in Action
Discover how Koan Health helps ACOs uncover cost, utilization, and quality drivers.
