2017
Feasibility of Representing Data from Published Nursing Research Using the OMOP Common Data Model.
Kim H, Choi J, Jang I, Quach J, Ohno-Machado L. Feasibility of Representing Data from Published Nursing Research Using the OMOP Common Data Model. AMIA Annual Symposium Proceedings 2017, 2016: 715-723. PMID: 28269868, PMCID: PMC5333244.Peer-Reviewed Original ResearchConceptsOMOP Common Data ModelNursing intervention protocolPatient reported outcomesCommon data modelReported outcomesDrug treatmentIntervention protocolUnique data itemsNursing articlesData modelNursing researchHealth dataPotential information lossData discoveryUse casesData itemsRepresenting DataFollowInformation lossDisease
2015
Creating a Common Data Model for Comparative Effectiveness with the Observational Medical Outcomes Partnership
FitzHenry F, Resnic F, Robbins S, Denton J, Nookala L, Meeker D, Ohno-Machado L, Matheny M. Creating a Common Data Model for Comparative Effectiveness with the Observational Medical Outcomes Partnership. Applied Clinical Informatics 2015, 06: 536-547. PMID: 26448797, PMCID: PMC4586341, DOI: 10.4338/aci-2014-12-cr-0121.Peer-Reviewed Original ResearchConceptsOMOP Common Data ModelPerson monthsHealth systemCount of medicationsMore outpatient visitsHealth system databaseMedication administration recordsComparative effectiveness analysisObservational Medical Outcomes Partnership (OMOP) CDMPharmacy fillsEligible cohortOutpatient visitsHigh prevalenceMedicationsComparative effectivenessAdministration recordsCommon data modelCohortMini-SentinelObservational Medical Outcomes PartnershipMonths
2014
pSCANNER: patient-centered Scalable National Network for Effectiveness Research
Ohno-Machado L, Agha Z, Bell D, Dahm L, Day M, Doctor J, Gabriel D, Kahlon M, Kim K, Hogarth M, Matheny M, Meeker D, Nebeker J, team T, Resnic F, Khodyakov D, Armstead L, Nagler T, Morley S, Anderson N, Cooper D, Phillips D, Heber D, Li Z, Ong M, Patel A, Zachariah M, Burns J, Daniels L, Doan S, Farcas C, Germann-Kurtz R, Jiang X, Kim H, Paul P, Taras H, Tremoulet A, Wang S, Zhu W, Berman D, Rizk-Jackson A, D’Arcy M, Kesselman C, Knight T, Pearlman L, Heidenreich P, Rifkin D, Stepnowsky C, Zamora T, DuVall S, Frey L, Scehnet J, Sauer B, Facelli J, Gouripeddi R, Denton J, FitzHenry F, Fly J, Messina V, Minter F, Nookala L, Sullivan H, Speroff T, Westerman D. pSCANNER: patient-centered Scalable National Network for Effectiveness Research. Journal Of The American Medical Informatics Association 2014, 21: 621-626. PMID: 24780722, PMCID: PMC4078293, DOI: 10.1136/amiajnl-2014-002751.Peer-Reviewed Original ResearchConceptsInitial use caseCommon data modelPatient Centered Outcomes Research InstituteHealth information exchange dataComputing infrastructuresFederated networkUse casesDistributed systemData modelComputation modelExchange dataPatient-powered research networksCommunity-based outpatient clinicsNetworkCongestive heart failureOutcomes Research InstituteEffectiveness researchAsynchronous modeHealth services researchersKawasaki diseaseHeart failureOutpatient clinicVA InformaticsAmbulatory careNational network