A Systematic Review on Technology Implementation for DAHC

• Published in: 2025 International Conference on Intelligent Control, Computing and Communications (IC3) pp. 1159 - 1164
• Main Authors: Anjaneyulu, Madugula, Fallah, Mohammed Hussein, J, Sakthi Sree, Meena, S., Shekar, A., Ramya, M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 13.02.2025
• Subjects: Data analysis; Data Interoperability; Estimation; Healthcare Data Analysis; Healthcare Informatics; HEDIS Measurements; Medical services; NCQA Standards; Ontologies; Ontology; RDF-Triple Store; Rdfox; Semantic Technologies; SPARQL Queries; Synthetic aperture sonar; Systematic literature review; Technological innovation; Time measurement; Translation
• DOI: 10.1109/IC363308.2025.10956486

Oxford and Kaiser Permanente, a US healthcare supplier, collaborated to form the primary compelling utilize of semantic innovation for the examination of healthcare information. Each year, US HMOs are required to supply US specialists with estimation discoveries relating to the quality of care. A famously troublesome standard known as HEDIS characterizes one of these sets of measures for information investigators. frameworks made utilizing SAS programs or SQL questions result in complex frameworks that require a critical venture of time and money for approval and upkeep. We appear the consider whereby we computed the foremost challenging component of the HEDIS estimations utilizing semantic advances. We illustrate how we encode HEDIS within the RDF-triple store RDFox run the show dialect in a clear, organized, and readable manner. We compute and extricate the comes about utilizing SPARQL inquiries and RDFox's thinking capabilities. RDFox seem calculate the comes about of a whole territorial Kaiser Permanente department in a competitive sum of time utilizing broadly open product innovation. Kaiser Permanente plans to advance move forward and execute the project's outcomes. From the point of view of examination, information generally relates to quiet and clinic information, which is the subject of a few organization-based inquire about. Semantic innovations, in common, change restorative information handling, translation, and utilization within the region of health data analysis. A organized and significant system for overseeing endless volumes of differing healthcare information is given by procedures that primarily concentrate on ontologies, apparatuses for a semantic web, and connected information. It is vital to recognize that the research addresses semantic advances within the setting of healthcare information investigation.