Health Language provides 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 healthcare’s toughest challenges, such as meaningful use, ICD-10, population health, analytics, ACOs, and semantic interoperability among systems. Our global team of developers, clinical professionals, terminology domain experts, and other healthcare information technology specialists have built an enterprise clinical terminology management platform to support these market challenges.
Our solutions are used to 1) ensure enterprise compliance with terminology standards, 2) harmonize data from disparate terminologies into standard terminologies, 3) abstract complex terminologies from end users, and 4) mitigate the financial risks inherent to the ICD-10 transition.
The Office of the National Coordinator for Health Information Technology (ONC) recently released the 2017 Interoperability Standards Advisory (ISA), an update to the 2016 version that holds great promise for advancing health information exchange. National Coordinator Vindell Washington hailed the release as “a key step toward achieving the goals” outlined in the Shared Nationwide Interoperability Roadmap and Interoperability Pledge announced earlier this year.
National healthcare movements demand an interoperable framework for accurate data exchange across healthcare continuums. As value-based care continues to unfold, the industry at large remains focused on efforts to mature interoperability to support high-level quality initiatives aimed at improving population health and cutting costs.
Two converging trends are moving patient communication strategies front and center for today’s payers: Consumers are demanding greater control of their healthcare decisions; and regulatory movements are requiring better patient experiences.
On October 1, 2016, the Centers for Medicare and Medicaid Services (CMS) wrapped up its one-year grace period for allowing the use of unspecified codes without consequence. The governing body also rolled out its first update to the coding system in four years, including a mammoth 6,000 new codes.
Healthcare’s interoperability quest continues to mature, moving the industry closer to semantic interoperability—the highest level of information exchange as defined by the Health Information and Management Systems Society (HIMSS). ONC’s recent identification of two metrics to support specific indicators of “widespread interoperability” demonstrate this movement.
In our previous blog, we discussed the importance of leveraging administrative data for better quality assessment. As the wrap-up to this standards blog series, I want to look back at Crossing the Quality Chasm as a foundational work for improving the quality of healthcare delivery. This paper called not only for better quality but also for a reduction in the cost of that care--this at a time when the population is aging, technology is evolving, and research is rapidly expanding evidenced-based medicine. At least eight of the 13 recommendations made by the authors of Crossing the Quality Chasm directly involve the collection, aggregation, and actionable use of healthcare data.
In October, hospitals’ fledgling ICD-10 systems and processes will be put to their first major test with the addition of more than 6,130 new codes.
In the seminal work Crossing the Quality Chasm, published by the Institute of Medicine in 2001, there was a clear call to action for the U.S. healthcare system. This work has driven much of what we are seeing in healthcare information management today. Crossing the Quality Chasm called for healthcare to be safe, effective, patient centered, timely, efficient, and equitable. The argument was made that the adoption of information technology is critical to meeting these goals. I would agree.
It’s an interesting time to be in healthcare, especially medical billing and coding! Over the next few years we will see major changes that will help us spend our healthcare dollars more wisely, and keep people healthier. These changes will have a profound impact on patients’ and physicians’ daily lives. Let’s take a look at some of the biggest changes...
By now, most healthcare organizations recognize the challenges associated with aggregating and sharing clinical information. It’s no secret that disparate health IT systems and clinical vocabularies create barriers to exchanging and using patient data in a meaningful way.
This chart outlines electronic health record (EHR) requirements in the Meaningful Use program that necessitate consideration for healthcare terminologies. Although the Meaningful Use program is near its end, the Centers for Medicare & Medicaid Services (CMS) will continue to strengthen requirements for documenting, standardizing and sharing data within, and amongst, EHRs through other programs such as Hospital Value-Based Purchasing (VBP) payments, the Physician Quality Reporting System (PQRS), the Merit-Based Incentive Payment System (MIPS), Alternative Payment Models (APMs) – including accountable care programs – and others.
On Friday last week, the online news publication HealthITAnalytics.com published a feature story about the importance of data governance, “The Role of Healthcare Data Governance in Big Data Analytics.” The author, Jennifer Bresnick, does an excellent job of explaining what data governance is, how it differs from information governance, and why healthcare IT professionals need to take a closer look at how data is managed at their organizations.
A healthcare provider or payer that goes through a data normalization project will want to make sure its investment in time and money continues to pay off down the road.
If you’ve followed the previous steps outlined in this blog series, you should have a good idea of how to pursue data normalization within your healthcare organization. But challenges will continue to arise once you get underway. One of the decisions a healthcare provider or payer will face in the course of a project is whether to use an existing industry standard or create a local terminology. As it turns out, the answer isn’t cut and dried, and will depend to a large degree on the use case involved.
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Contact: Josh Johnson
An Ever-Changing Landscape Requires an Evolving Platform. Health Language offers the only comprehensive Enterprise Terminology Management platform of software, content, and consulting solutions available in the market.
Content Standardization enables the creation of a single, integrated, and trusted source of terminology truth across an enterprise.
Health Language harmonizes data from disparate sources into standard terminologies.
The Health Language ICD-10 Remediation Solution leverages claims analytics and mapping capabilities to drive informed business decisions and streamline systems remediation efforts.
Simplify problem and diagnoses search by supporting the documentation requirements for Meaningful Use and ICD-10 using the language clinician’s use.