Use of value sets to filter FHIR based data for desired clinical concepts
Poster Number: P91
Presentation Time: 05:00 PM - 06:30 PM
Abstract Keywords: Controlled Terminologies, Ontologies, and Vocabularies, Chronic Care Management, Clinical Guidelines, Information Extraction, Internal Medicine or Medical Subspecialty
Primary Track: Applications
Programmatic Theme: Clinical Research Informatics
Care management is challenging for patients with multiple chronic conditions, who frequently see providers in multiple care settings. Progress has been made towards interoperability across care teams, but there has been little research investigating the impacts on patient care. We are using the eCarePlanner application to integrate patient data across multiple care settings and investigate treatment efficacies for hypertension and chronic kidney disease in these patients. A significant challenge in effectively analyzing this large volume of patient records is finding ways to quickly identify the most relevant data points.
Value sets are collections of structured data codes designed to represent a comprehensive grouping of a medical condition or concept; they are available for download through the Value Set Authority Center (VSAC), a large repository of value sets submitted by independent organizations. Value sets can be used to create a catalog or superset of all codes relating to a particular concept.
We have identified about 50 general concepts of interest relating to hypertension treatment and chronic kidney disease, including comorbid conditions, medication reactions, and other complications. We then queried VSAC and reviewed and downloaded the most relevant value sets for each concept, consisting of ICD10, SNOMED, and LOINC codes. The value sets will be implemented as filters in the eCarePlanner application, in order to quickly identify relevant data. The goal is to illuminate external data in the patient’s health record, which may have altered treatment decisions and outcomes, if it was immediately available to all providers.
Speaker(s):
Michelle Bobo, BA, MS
Oregon Health & Science University
Poster Number: P91
Presentation Time: 05:00 PM - 06:30 PM
Abstract Keywords: Controlled Terminologies, Ontologies, and Vocabularies, Chronic Care Management, Clinical Guidelines, Information Extraction, Internal Medicine or Medical Subspecialty
Primary Track: Applications
Programmatic Theme: Clinical Research Informatics
Care management is challenging for patients with multiple chronic conditions, who frequently see providers in multiple care settings. Progress has been made towards interoperability across care teams, but there has been little research investigating the impacts on patient care. We are using the eCarePlanner application to integrate patient data across multiple care settings and investigate treatment efficacies for hypertension and chronic kidney disease in these patients. A significant challenge in effectively analyzing this large volume of patient records is finding ways to quickly identify the most relevant data points.
Value sets are collections of structured data codes designed to represent a comprehensive grouping of a medical condition or concept; they are available for download through the Value Set Authority Center (VSAC), a large repository of value sets submitted by independent organizations. Value sets can be used to create a catalog or superset of all codes relating to a particular concept.
We have identified about 50 general concepts of interest relating to hypertension treatment and chronic kidney disease, including comorbid conditions, medication reactions, and other complications. We then queried VSAC and reviewed and downloaded the most relevant value sets for each concept, consisting of ICD10, SNOMED, and LOINC codes. The value sets will be implemented as filters in the eCarePlanner application, in order to quickly identify relevant data. The goal is to illuminate external data in the patient’s health record, which may have altered treatment decisions and outcomes, if it was immediately available to all providers.
Speaker(s):
Michelle Bobo, BA, MS
Oregon Health & Science University
Use of value sets to filter FHIR based data for desired clinical concepts
Category
Poster - Regular
Description
Date: Tuesday (11/12)
Time: 05:00 PM to 06:30 PM
Room: Grand Ballroom (Posters)
Time: 05:00 PM to 06:30 PM
Room: Grand Ballroom (Posters)