2020
Using longitudinal PSA values and machine learning for predicting progression of early stage prostate cancer in veterans.
Danciu I, Erwin S, Agasthya G, Janet T, McMahon B, Tourassi G, Justice A. Using longitudinal PSA values and machine learning for predicting progression of early stage prostate cancer in veterans. Journal Of Clinical Oncology 2020, 38: e17554-e17554. DOI: 10.1200/jco.2020.38.15_suppl.e17554.Peer-Reviewed Original ResearchDisease progressionClinical data warehouseLast PSAPSA valuesEarly-stage prostate cancerSEER summary stageTime of diagnosisAppropriate treatment planProstate cancer patientsStage prostate cancerHealth record dataProstate cancer diagnosisEvidence-based approachClinical decision supportCancer RegistryRadium-223Cancer patientsGleason scoreSummary stageLaboratory valuesProstate cancerTreatment planOutcome predictionDiagnosisPSA
2017
Utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains
Rajeevan N, Niehoff KM, Charpentier P, Levin FL, Justice A, Brandt CA, Fried TR, Miller PL. Utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains. BMC Medical Informatics And Decision Making 2017, 17: 111. PMID: 28724368, PMCID: PMC5517800, DOI: 10.1186/s12911-017-0501-x.Peer-Reviewed Original ResearchConceptsClinical decision supportElectronic health recordsCDS systemsDecision supportPatient-specific clinical decision supportEHR environmentInformatics challengesWeb-based clinical decision supportHealth recordsPatient dataWeb technologiesData accessComputational infrastructureParticular architectureIssues/challengesDesign issuesSuch systemsInformatics methodsPowerful setData availabilityVeterans AdministrationInfrastructureVA electronic health recordClinical domainsUS Veterans Administration