Create, customize, and share different types of value sets
Value sets are used to identify assets that are members of a particular group or collection. The most common use of value sets is to define collections of reference terminology concepts. Within the context of information models, value sets are used to enumerate terminology concepts that can be selected as values for coded data elements. Organizations typically create large quantities of value sets to support activities such as bedside documentation, clinical decision support, data reporting, and patient cohorts or phenotype definitions. Value sets frequently require ongoing maintenance to accommodate new terminology releases and updates, along with periodic refinements guided by domain experts. This solution allows an organization to:
Catalog available value sets, including assets defined locally and from reference sources - creates a central repository where analysts, developers, researchers, and other stakeholders can search, compare, and validate all value sets
Create, combine, and manage value sets with different types of members, including terminology value sets that use local dictionary concepts or reference terminology concepts (e.g. SNOMED CT, ICD-10-CM, LOINC, RxNorm)
Integrate (link) value sets to other asset types (e.g. reports, CDS rules, order sets, documentation templates, information models), and verify if an asset should or not be a member of multiple value sets
Use and refine value sets obtained from LOINC, NLM's VSAC, SNOMED, or any other source
Semedy’s Value set solution, implemented using our Clinical Knowledge Management System (CKMS), includes preconfigured models to represent different types of value sets, ETL pipelines for import and/or export, configurable views, queries, and reports. Previously defined value sets can be easily loaded and periodically refreshed using our ETL framework. Commonly used value sets from authoritative sources are maintained and distributed by Semedy, along with guidance on how to refine and reuse to support CDS rules, eMeasures, and patient cohorts. With periodic refreshes from reference sources, value sets are automatically updated, enabling CKMS to become a central repository for curating and distributing value sets and associated metadata.
Using our CKMS platform, the demonstration will showcase different types of value sets with examples created by Semedy, or obtained from NLM's VSAC and LOINC. We will demonstrate how to search and visualize value sets and their members, and how to verify the source, release date, and other relevant metadata. A new value set for allergic reactions using SNOMED concepts will be created using simple functions that allow search results to be used as a starting point. We will also illustrate the use of configurable queries to identify value sets that contain obsolete assets, as well as assets that are included in multiple value sets.