Population health management seeks to identify at-risk populations, tailor interventions for individuals and measure the clinical impact.
It’s a complex task that relies on the ability to collect and aggregate patient data and use that data to measure the quality of care. The job also calls for health systems to generate reports on those quality measures for internal use and external regulators.
Caradigm, a company based in Bellevue, Wash., has selected Health Language to support its population health platform. The Caradigm® Intelligence Platform ingests and manages all healthcare data types, according to the company. The scope of operations includes combining and reconciling patient health data from multiple electronic health records (EHRs) with claims data.
In this environment, Caradigm has integrated Health Language’s Language Engine and content in order to support single source clinical terminologies within its population health platform offering. The product lets organizations view, manage, export and standardize all clinical content on a single platform.
In addition, Language Engine can manage and deliver standard content alongside localized and custom content. This can be a very useful feature if you must work with novel population health management content. Other Language Engine features include the ability to develop code groups, conduct searches and resolve content conflicts. It can visualize concepts in context with parents and children, as well as terms, facets, subsets and other attributes.
Health Language’s Content Database, meanwhile, manages more than 200 different terminology content sets, providing a centralized source of standards truth. The database includes Health Language-proprietary Provider Friendly Terminology, Consumer Friendly Terminology, medical specialty subsets, PQRS content and other specialized code groups (also referred to as value sets). It can also manage an organization’s local terminology content.
For example, the Caradigm Intelligence Platform’s data pipeline is optimized for the iterative set-up of data feeds. The platform includes a plug-in framework to handle any data format, including HL7, XML, CSV, and CCD among others. Health Language can be used to power the platform’s integrated semantics engine, contributing to the increased usability of the ingested data for applications to reuse across the care continuum, such as healthcare analytics, and care coordination & management.
Tackling the Challenge of Combining Claims and Clinical Data
Caradigm has also tapped Health Language to help normalize the population health company’s data, using maps Health Language has built for that purpose. Those maps can be used to normalize local and proprietary data to standards to support Caradigm’s data aggregation and reporting initiatives.
These kinds of maps can also support the ability to combine claims and clinical data. The need to leverage both data types is an important goal in population health management, in order to arrive at a comprehensive view of a patient’s health. With Health Language’s mapping capabilities, companies such as Caradigm can better interpret data from EHRs, billing systems, payers, pharmacy systems, labs and health information exchanges.
At the same time, by working closely with Health Language’s offerings, companies can deliver a data asset that fuels an expanding number of healthcare analytics and population health applications.
Caradigm facilitates its population health and analytics business through data normalization. Could your population health management programs benefit from data normalization? Leave your comments below.