2016
A Harmonized Data Quality Assessment Terminology and Framework for the Secondary Use of Electronic Health Record Data
Kahn M, Callahan T, Barnard J, Bauck A, Brown J, Davidson B, Estiri H, Goerg C, Holve E, Johnson S, Liaw S, Hamilton-Lopez M, Meeker D, Ong T, Ryan P, Shang N, Weiskopf N, Weng C, Zozus M, Schilling L. A Harmonized Data Quality Assessment Terminology and Framework for the Secondary Use of Electronic Health Record Data. Healthcare 2016, 4: 1244. PMID: 27713905, PMCID: PMC5051581, DOI: 10.13063/2327-9214.1244.Peer-Reviewed Original ResearchDQ assessmentEHR dataElectronic health record dataHealth record dataData quality assessmentElectronic health dataOperational analyticsData ownersAnalytics expertsData producersDQ issuesSet of termsSecondary useLogical frameworkOrganizational dataIterative refinementDQ frameworkHealth dataRecord dataInitial setUsersCommon approachFrameworkFuture workCommon understanding
2015
Simplified Novel Application (SNApp) framework: a guide to developing and implementing second-generation mobile applications for behavioral health research
Fillo J, Staplefoote-Boynton B, Martinez A, Sontag-Padilla L, Shadel W, Martino S, Setodji C, Meeker D, Scharf D. Simplified Novel Application (SNApp) framework: a guide to developing and implementing second-generation mobile applications for behavioral health research. Translational Behavioral Medicine 2015, 6: 587-595. PMID: 27848211, PMCID: PMC5110486, DOI: 10.1007/s13142-015-0363-7.Peer-Reviewed Original ResearchConceptsNovel application frameworkApplication frameworkMobile applicationsApp developmentApp development processSoftware developmentHardware decisionsMobile appsMobile technologyProject resource constraintsMultiple streamsResource constraintsHuman subjects issuesReal timeResource gatheringDevelopment processAppsBehavioral health researchersTechnical decisionsText messagesBehavioral health researchFrameworkCommon challengesResearchersSoftwareReverse Engineering Measures of Clinical Care Quality: Sequential Pattern Mining
Chiu H, Meeker D. Reverse Engineering Measures of Clinical Care Quality: Sequential Pattern Mining. Lecture Notes In Computer Science 2015, 9162: 208-222. DOI: 10.1007/978-3-319-21843-4_17.Peer-Reviewed Original ResearchPattern miningTraditional classification algorithmsSequential pattern miningClassification problemClassification algorithmsData-driven measuresFacilitate discoveryMiningClinical dataTraining signalsCritical patternsFrameworkPatterns of treatmentClinical care qualityAlgorithmAbstractionClinical guidelinesClinical careBasis of outcomesSurvival analysisCare qualityAccuracyDataOutcomesQuality