2025
A Novel Sentence Transformer-based Natural Language Processing Approach for Schema Mapping of Electronic Health Records to the OMOP Common Data Model.
Zhou X, Dhingra L, Aminorroaya A, Adejumo P, Khera R. A Novel Sentence Transformer-based Natural Language Processing Approach for Schema Mapping of Electronic Health Records to the OMOP Common Data Model. AMIA Annual Symposium Proceedings 2025, 2024: 1332-1339. PMID: 40417570.Peer-Reviewed Original ResearchConceptsCommon data modelElectronic health recordsOMOP Common Data ModelSchema mappingsMapping electronic health recordData modelTransformer-based deep learning modelsNatural language processing approachEnd-to-endDeep learning modelsHealth recordsEnhance interoperabilityTransformation pipelineLearning modelsOMOPProcessing approachSchemaStandard conceptsDiverse healthcare systemsInteroperabilityLarge-scaleStandard mapDatasetSoftwareHealthcare system
2024
Designing medical artificial intelligence systems for global use: focus on interoperability, scalability, and accessibility
Oikonomou E, Khera R. Designing medical artificial intelligence systems for global use: focus on interoperability, scalability, and accessibility. Hellenic Journal Of Cardiology 2024, 81: 9-17. PMID: 39025234, DOI: 10.1016/j.hjc.2024.07.003.Peer-Reviewed Original ResearchArtificial intelligenceMedical artificial intelligence systemsDesigning AI systemsMachine learning systemsArtificial intelligence systemsBenefits of AIIntelligent systemsAI systemsLearning systemEnd-usersData typesAI developmentInteroperabilityTemporal settingAccessScalabilityTreatment of cardiovascular diseasesIntelligenceSystemMachineQuality assuranceInternational cohortCardiovascular diseaseObstaclesData Interoperability for Ambulatory Monitoring of Cardiovascular Disease: A Scientific Statement From the American Heart Association
Armoundas A, Ahmad F, Bennett D, Chung M, Davis L, Dunn J, Narayan S, Slotwiner D, Wiley K, Khera R, Care P. Data Interoperability for Ambulatory Monitoring of Cardiovascular Disease: A Scientific Statement From the American Heart Association. Circulation Genomic And Precision Medicine 2024, 17: e000095. PMID: 38779844, PMCID: PMC11703599, DOI: 10.1161/hcg.0000000000000095.Peer-Reviewed Original ResearchConceptsData interoperabilityDeployment of platformsInteroperability frameworkSoftware applicationsData integrationWearable devicesData ecosystemInteroperabilityMonitoring of cardiovascular diseasesQuality of dataDiverse health systemsClinical workflowTransform health careDataScientific statementCardiovascular diseaseClinical contentAmerican Heart AssociationCaregivers' accessHealth systemHealth care
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply