Wolters Kluwer Health Language
Powering intelligent healthcare.
Overview
Wolters Kluwer's Health Language is not a standalone reporting tool, but a foundational data quality platform. It helps healthcare organizations standardize and normalize clinical data from disparate systems using standard terminologies like SNOMED CT, LOINC, and ICD-10. This clean, standardized data is essential for accurate and reliable quality measurement and reporting, regardless of the final reporting tool used.
✨ Key Features
- Clinical terminology management
- Data normalization and mapping
- Clinical Natural Language Processing (cNLP) to extract data from unstructured text
- Problem list and medication list management
- Supports quality measure (eCQM) data requirements
🎯 Key Differentiators
- Comprehensive suite of terminology, mapping, and NLP solutions
- Deep expertise in clinical data quality and interoperability
- Vendor-neutral approach, working with many different EHRs and analytics platforms
Unique Value: Improves the accuracy and reliability of all downstream analytics and reporting—including Core Measures—by fixing data quality at the source.
🎯 Use Cases (4)
✅ Best For
- Clinical Data Normalization
- Semantic Interoperability
- Clinical Natural Language Processing
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Organizations looking for an all-in-one abstraction and submission tool
- Hospitals with perfectly standardized data across all systems (rare)
🏆 Alternatives
Focuses on the foundational layer of data quality, which is a prerequisite for accurate reporting, whereas reporting tools often assume the underlying data is clean.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Phone Support
- ✓ Dedicated Support (Varies tier)
🔒 Compliance & Security
💰 Pricing
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