POPULATION HEALTH PLATFORM INTEGRATION
Clearer data, smarter interventions, healthier outcomes
Gaine’s Coperor platform unifies and cleanses fragmented healthcare data, giving you the confidence to make data-driven decisions that improve care quality and reduce costs
THE CHALLENGE
Managing population health with incomplete or inaccurate data
Population health management (PHM) is critical to improving care quality and outcomes while controlling costs. But let’s face it—doing this effectively requires data that’s not just abundant but also accurate, unified, and accessible. Unfortunately, many organizations feel like they’re throwing darts at a board blindfolded because their data is scattered across siloed systems, riddled with duplicates, or missing key details.
Take value-based care (VBC) platforms, for example. These tools promise to help you identify at-risk populations, close care gaps, and track outcomes. But if the data feeding into these platforms is incomplete or inconsistent, you’re left with unreliable insights. And it’s not just about getting the data in—getting clean, actionable data back out to inform decision-making at all levels is equally challenging.
THE SOLUTION
Clean, unified data that drives better decisions
Cross-domain data harmonization
Coperor’s cross-domain, FHIR-compatible health data model is 5X larger and more granular than any industry model. It integrates and masters relationships across patients, providers, members, claims, and other domains. By harmonizing these datasets and maintaining historical views of complex relationships—such as provider affiliations or episodes of care—it provides the contextual understanding needed for population health analytics.
Comprehensive patient profiles
Coperor orchestrates transactional data to create longitudinal, geo-coded patient records that aggregate clinical, claims, and social determinants of health (SDOH) data into a unified view. This enables healthcare organizations to identify at-risk populations with precision, design targeted interventions, and improve care outcomes through actionable insights grounded in a complete picture of each patient’s journey.
Cleanses and standardizes
Duplicate records? Inconsistent formats? Missing fields? Coperor eliminates these issues with enterprise-grade Master Data Management (MDM) by cleansing and standardizing your data so it’s ready for action. This means your VBC platforms and analytics tools get the high-quality input they need to deliver meaningful results while reducing inefficiencies caused by poor data quality.
Enables bidirectional flow
It’s not just about feeding clean data into your VBC platform—it’s about ensuring that insights generated by those platforms flow back out to operational systems in usable format. Without this bidirectional flow, you’re just creating more data silos. Coperor ensures everyone has access to the information they need when they need it.
Integration hub: tailored data for every system
Coperor ensures your data is formatted specifically for each consuming system—whether it’s a value-based care platform, Tableau dashboard, or another analytics tool. By automating data transformation and tailoring outputs to meet the unique requirements of each platform, Coperor eliminates manual rework and ensures clean, actionable data flows seamlessly into your existing tools.
Dynamic policies for flexibility
Coperor supports flexible policies that adapt to your organization’s unique workflows and evolving business needs. Whether it’s applying custom rules for specific domains like claims or providers or managing historical views of patient consent across systems, Coperor’s dynamic framework ensures that your policies align with operational goals without compromising scalability or compliance.
CUSTOMER SUCESS
Gaine for the win
"With Gaine’s Coperor platform, we’ve completely transformed how we manage and utilize our healthcare data. By unifying fragmented datasets and automating data cleansing, we reduced errors in our value-based care (VBC) platform by 92%. This has enabled us to identify care gaps with far greater precision, improving care quality and saving our team untold hours of manual data reconciliation. It’s like taking the blindfold off in a dart game—we can finally aim with accuracy."
Chief Data Officer at a leading healthcare system
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