Our platform provides you with the software, content, and consulting solutions that map, translate, update, and manage standard and enhanced clinical terminologies on an enterprise scale — enabling the information liquidity required to support some of healthcare’s toughest challenges, such as meaningful use compliance, ICD-10 conversion, population health management, analytics, ACOs, and semantic interoperability among systems.
Unlock your data by normalizing your clinical or claims based data into standard terminologies and ensuring consistent representations of clinical concepts.Download White Paper
Improve Problems and Diagnoses Search and Documentation within your EHR to increase clinician satisfaction and ease the transition to ICD-10.Download White Paper
Use sophisticated claims analytics and mapping capabilities to drive informed business decisions, streamline systems remediation efforts, and gaining post transition insights.Watch Webinar
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- Wolters Kluwer Experts to Discuss ICD-10 Lessons Learned and Best Practices in Upcoming Complimentary Webinar
- Health Language Solutions to Drive Semantic Normalization for California Integrated Data Interchange
2016 HIMSS Conference & Exhibition
Las Vegas, NV
2016 Blue National Summit
25th Annual WEDI National Conference
Salt Lake City, UT
Health IT News: Data Normalization: A foundational step to achieving Triple Aim goals
Summary: Actionable data is critical to advancing healthcare’s Triple Aim: improving patient experience, population health and costs. Data accuracy for analytics and information sharing must exist to accomplish these goals.
Interoperability is a focal point of national efforts to advance information sharing and data analytics, but lack of a common clinical vocabulary is currently a primary roadblock to forward momentum. Until a foundation for semantic interoperability is laid that standardizes clinical terminology across disparate systems, success with such care delivery models as population health management, health information exchange and accountable care organizations will be limited.
Industry standards such as SNOMED CT, LOINC and RxNORM are important steps towards achieving this goal, but there is currently no existing standard that addresses all clinical terminology. Patient data shared between health information systems must be “cleaned” before data warehousing and analytics strategies can be realized.
Simply put, data must be normalized to remove semantic ambiguity.
Date: October 8, 2015
Health Payer News: The Quest for a Single Source of Terminology Truth
Summary: As federal regulatory initiatives up the ante on information sharing capabilities inside and outside a healthcare organization, the C-Suite is increasingly finding that a comprehensive terminology management strategy is critical.
Lack of a common clinical vocabulary across disparate systems is a primary roadblock to greater collaboration between payers and providers and the greater goals of health information exchange and accountable care.
Like many health systems, Wisconsin-based Dean Health Plan faced the challenge of managing code sets across numerous departments and disparate IT systems, each with their own inherent language and clinical terminology infrastructure. Largely governed by error-prone manual processes and workflows, the organization faced inevitable conflicts regarding terminology intake, management and distribution and lacked a formal process for governance and accountability.
Date: April 17th, 2015
Government Health IT: Intersection of ICD-10 and meaningful use – Clinical documentation improvement
Summary: As hospitals, health systems and payers navigate the new risk-bearing landscape, synergies exist when clinical documentation improvement strategies are expanded to address both meaningful use (MU) SNOMED CT requirements and ICD-10. While the magnitude of the ICD-10 transition itself and the ongoing rumors of additional delays may tempt some organizations to pause in their pursuit of readiness, the bottom line is that advantages to clinical documentation can be realized even before the transition by using SNOMED CT within electronic health records.
Date: January 2nd, 2015
Becker’s Hospital Review: Data Normalization for Semantic Translation
Summary: Why normalizing your clinical and claims data into standard terminologies is critical to supporting forward-thinking initiatives such as big data analytics, population health management and semantic interoperability.
Date: October 27th, 2014
ICD-10 Coding Success: The Devil is in the Details
Summary: ICD-10 is a brave new world. The differences in terminology offer opportunities to broaden the outlook of patient care as well as notable challenges to HIM professionals. These realities are helping health care organizations develop a deeper awareness of what the broader scope of readiness really entails.
Date: September 25, 2014