Population Health Analytics

Population Health Analytics for ACOs

Turn fragmented clinical, claims, and operational data into trusted insight to improve cost, quality, and performance.

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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 and value-based care organizations, this level of visibility is essential. Without it, performance gaps remain hidden, opportunities are missed, and it becomes difficult to act with confidence.

Costs and Utilization Analytics

Understand where costs are rising and why.
Analyze utilization patterns across service lines, providers, and populations to identify anomalies and variation.
Reduce unnecessary spending and improve efficiency.
A screenshot of a project schedule.
Understand where costs are rising and why.
Analyze utilization patterns across service lines, providers, and populations to identify anomalies and variation.
Reduce unnecessary spending and improve efficiency.

Network Leakage Analytics

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.
A screenshot of Koan Health's product.
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, utilization, referral patterns, quality, and outcomes.
Guide referral decisions and improve care transitions.
Reduce readmissions and total cost of care.
A screenshot of Koan Health's product.
Evaluate performance across post-acute providers to identify variation in cost, utilization, referral patterns, 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.
Screenshot of the dashboard of the Koan Health product.
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 Patient Cohorts

Segment your population by risk to identify high-need patients and care gaps.
Focus interventions where they will have the greatest impact.
Improve outcomes and performance through care coordination and physician engagement.
A screenshot of Koan Health's dashboard.
Segment your population by risk to identify high-need patients and care gaps.
Focus interventions where they will have the greatest impact.
Improve outcomes and performance through care coordination and physician engagement.
Travis Turner

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 Integration

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 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.

How does population health analytics improve quality outcomes?

By identifying care gaps and high-risk patients, population health analytics enables more proactive and coordinated care. This supports improved clinical outcomes, better patient management, and stronger quality performance in value-based care programs.

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Improve ACO Performance with Trusted Insights

Gain a clear view of what’s driving cost, utilization, and quality—so your team can act with confidence.

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

Book a Demo
A person typing on a laptop computer on a desk.
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 and value-based care organizations, this level of visibility is essential. Without it, performance gaps remain hidden, opportunities are missed, and it becomes difficult to act with confidence.

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How Does Population Health Analytics Improve Performance?

Trust your data to drive confident interventions and better outcomes.

Uncover what’s driving cost and utilization

Identify variation across providers and service lines before it impacts performance.

Reduce unnecessary spend

Address outliers and low-value care with clear, data-driven insight.

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.

Make decisions with confidence

Act on trusted, transparent data—not assumptions.

Key Capabilities of a Population Health Analytics Platform

A population health analytics platform provides the visibility needed to understand performance across cost, utilization, and quality. By integrating clinical, claims, and operational data, organizations can identify variation, uncover opportunities, and take targeted action to improve outcomes.

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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.

Improve outcomes and performance.

How Does Koan Health Deliver Trusted Insight?

In value-based care, decisions are only as good as the data behind them. Koan Health unifies clinical, claims, and operational data into a single, trusted source—so you can see what’s driving performance and act with confidence.

One source of truth

Eliminate fragmented data and gain a complete, consistent view of your population.

Transparent, reliable metrics

Know how your data is calculated and trust the insights you’re using to make decisions.

Insight that drives action

Identify opportunities and intervene with clarity—not guesswork.

Built for value-based care

Align analytics to the metrics that matter most for shared savings and performance.

How to Choose a Population Health Analytics Platform

Not all analytics platforms deliver the same level of visibility or data reliability. When evaluating solutions, it’s important to focus on the factors that directly impact your ability to act with confidence.

Data accuracy and transparency

Can you trust the data and understand how metrics are calculated? Look for a platform that makes its methodology visible, not just its dashboards. Koan Health is built on a foundation of data integrity and transparency, so your team always knows what’s behind the numbers.

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 it help you identify opportunities and support real-world interventions? Look for insights that enable action, not just analysis. Koan Health surfaces the cost, utilization, and quality insights your team needs to act.

Alignment to value-based care

Does it measure performance across cost, quality, and utilization in a meaningful way? Koan Health is purpose-built for ACOs and value-based care organizations, ensuring your analytics align with the goals that drive performance.

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 Integration
Mary Washington Healthcare
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.

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 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.

How does population health analytics improve quality outcomes?

By identifying care gaps and high-risk patients, population health analytics enables more proactive and coordinated care. This supports improved clinical outcomes, better patient management, and stronger quality performance in value-based care programs.

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.

Improve Performance with Trusted Insight

Gain a clear view of what’s driving cost, utilization, and quality—
so your team can act with confidence.