Good data powers better health. Is your data ready to navigate healthcare's biggest challenges?

The path towards true value-based care where patient outcomes are optimized, the cost of care controlled and health equity gaps are closed heavily relies on accurate and reliable data; especially as we race to solve for the safe adoption of generative AI. However, healthcare data is notoriously messy, and poor data quality is a key contributor to the burden of cost in healthcare.

We know you’re bearing this cost every day. Whether you have challenges collecting data, building the correct connections between clinical and claims data, ensuring data is clean, or accurately defining a population of interest for analytics.

Where are you in your data quality journey?

Contact us for a free data quality consultation to unlock the full potential of your data.
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Depiction of workflow from health data inputs to analytics-ready data

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The Health Language team will help you understand your data quality maturity and define actionable strategies to improve your results. Speak to one of our informatics experts to help you close your data quality gaps and ensure you're able to complete your year-end projects.

Schedule A Consultation
Schedule A Consultation

Unlock the full potential of your data with a free data quality consultation

What you can expect

  • Consultative 45-minute call with our healthcare data quality expert to understand your current data situation
  • Actionable recommendations for building a first-class data architecture strategy

The power of good data: Why it matters

Confidence in data accuracy

Data-driven healthcare systems are only as good as the quality of data they use. With 80% of healthcare data existing in unstructured formats, there is a need to map raw information to industry standards. Vendors that prioritize the quality of data within their systems are well-positioned to support their customers through the evolving healthcare landscape.

Efficiency and cost-effectiveness

Data Scientists spend 50-80% of their time on manual data cleaning and preparation. Stop relying on outdated data models and tedious processes to get your data “analytics ready” Clean, well-structured, and standardized data helps accelerates development, minimizes rework in analytics, and maximizes the ROI of your investments.
Actionable insights
High quality data is the foundation for actionable insights. For example, to support an effective value-based care (VBC) program, providers need a 360 view of a patient’s journey culled from disparate data sources. High-quality data enables critical insights such as profiling readmission risk, proactively identifying gaps in care, and understanding key metrics to optimize outcomes and reduce costs.
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Why Health Language?

With the most robust data, AI-enabled technology and team of experienced professionals who have served on the frontline and the backend of healthcare, the Health Language platform ensures that the quality of your data is maintained to meet your clients’ needs, because good data powers better health.

Whether you’re developing advanced EHR systems, clinical analytics platforms, or patient engagement tools, we’ll work with you to ensure the data you collect, process, and deliver meets the highest standards. We also ensure that as standards change, your data is maintained with it, taking the burden of monitoring domains and disparate data systems off your shoulders.

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Leveraging a cloud-hosted terminology server as part of a cloud transformation ensures high quality, accurate, and standards-based data to inform all downstream analytics use cases. Wolters Kluwer’s AI-enabled Health Language Platform offers healthcare organizations access to a breadth and depth of terminology capabilities and a reliable cloud-hosted architecture to extract additional value and meaning from existing data for tomorrow’s challenges.
Naveen Valluri
General Manager, Health Data and AI, Microsoft
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