Harness the power of quality data. More complete data for analysis and reporting. More reliable data so you can take action with confidence. More accurate data that is up to date with the latest standards.
Health plans are under pressure to transform how they operate to improve profitability, support new healthcare business models and reduce inefficiencies. Wolters Kluwer Health Language solutions help health plans better manage their data, deriving actionable insights so they can support mission-critical initiatives in the areas of quality improvement, member management, compliance and value-based reimbursement.
Enterprise processes are burdened by legacy systems and variable data sources. Modernize data collection and break down internal data silos by establishing a single source of truth across your organization.
Quality measurement improvement is complex and increasingly tied to profitability. Quality data help you boost HEDIS scores, support population health initiatives, and enhance reimbursement.
Inaccurate claims are costly. Minimize financial exposure, ensure compliance, and drive improvements in population health with precision claims data.
Make informed decisions and enhace member management with data solutions that help close gaps in care, reduce the use of costly acute care through preventive services, and optimize care and disease management programs.
Access reliable, actionable data to improve member care, boost quality measures, and support value-based reimbursement. Wolters Kluwer delivers a powerful combination of expert consulting, comprehensive services and leading technology that can help you build the foundation for sustainable results. Get the most out of your enterprise data with an end-to-end data management portfolio tailored to the needs of health plans.
Health information exchange is a multifaceted undertaking that encompasses the introduction and adoption of a variety of industry standards to support interoperability.
Just ask the numerous healthcare organizations that want to share data among disparate IT systems or pull data from multiple data sources for analytical or reporting purposes.