2019
A randomized trial of decision support for tobacco dependence treatment in an inpatient electronic medical record: clinical results
Bernstein SL, Weiss J, DeWitt M, Tetrault JM, Hsiao AL, Dziura J, Sussman S, Miller T, Carpenter K, O’Connor P, Toll B. A randomized trial of decision support for tobacco dependence treatment in an inpatient electronic medical record: clinical results. Implementation Science 2019, 14: 8. PMID: 30670043, PMCID: PMC6343239, DOI: 10.1186/s13012-019-0856-8.Peer-Reviewed Original ResearchConceptsPatient's primary care providerPrimary care providersTobacco treatment medicationsElectronic health recordsTobacco use disorderQuit ratesTreatment medicationsProblem listCare providersUse disordersOne-year quit ratesState tobacco quitlineTobacco quit ratesPrescription of medicationsTobacco dependence treatmentProcess of careSingle hospital systemElectronic medical recordsInpatient electronic medical recordPatient's problem listSustained quittingAdult patientsControl patientsCurrent smokingHospitalized smokers
2017
Design and implementation of decision support for tobacco dependence treatment in an inpatient electronic medical record: a randomized trial
Bernstein SL, Rosner J, DeWitt M, Tetrault J, Hsiao AL, Dziura J, Sussman S, O'Connor P, Toll B. Design and implementation of decision support for tobacco dependence treatment in an inpatient electronic medical record: a randomized trial. Translational Behavioral Medicine 2017, 7: 185-195. PMID: 28194729, PMCID: PMC5526813, DOI: 10.1007/s13142-017-0470-8.Peer-Reviewed Original ResearchConceptsPatient's primary care providerTobacco dependence treatmentTobacco treatment medicationsElectronic health recordsPrimary care providersState Smokers' QuitlineTobacco use disorderDependence treatmentTreatment medicationsIntervention physiciansProblem listUse disordersOrder setsState tobacco quitlineCluster-randomized trialLong-term cessationElectronic medical recordsInpatient electronic medical recordPatient's problem listSmokers resultsAdult patientsHospital dischargeHospitalized smokersElectronic alertsTobacco treatmentDevelopment and validation of a continuously age-adjusted measure of patient condition for hospitalized children using the electronic medical record
Rothman MJ, Tepas JJ, Nowalk AJ, Levin JE, Rimar JM, Marchetti A, Hsiao AL. Development and validation of a continuously age-adjusted measure of patient condition for hospitalized children using the electronic medical record. Journal Of Biomedical Informatics 2017, 66: 180-193. PMID: 28057565, DOI: 10.1016/j.jbi.2016.12.013.Peer-Reviewed Original ResearchConceptsUnplanned ICU transfersPediatric Rothman IndexElectronic medical recordsRothman IndexICU transferPediatric RiskClinical statusPediatric hospitalHospitalized childrenMedical recordsPRI scoresPatient's conditionMortality dataPost-discharge mortalityPatient's clinical statusMortality odds ratioHospital mortalityInpatient visitsPatient ageAdult mortality dataClinical variablesOdds ratioClinical dataPhysiologic deteriorationPatient acuity
2014
Using a Scripted Data Entry Process to Transfer Legacy Immunization Data While Transitioning Between Electronic Medical Record Systems
Michel J, Hsiao A, Fenick A. Using a Scripted Data Entry Process to Transfer Legacy Immunization Data While Transitioning Between Electronic Medical Record Systems. Applied Clinical Informatics 2014, 05: 284-298. PMID: 24734139, PMCID: PMC3974261, DOI: 10.4338/aci-2013-11-ra-0096.Peer-Reviewed Original ResearchConceptsElectronic medical recordsImmunization dataSystem's electronic medical recordHealth systemAppropriate patient careManual chart reviewManual chart abstractionElectronic medical record systemChart abstractionChart reviewMedical record systemMedical recordsClinical careData entryPatient careImmunizationPatient dataHealthcare facilitiesProcess evaluationRecord systemManual data entry
2013
Automated analysis of electronic medical record data reflects the pathophysiology of operative complications
Tepas JJ, Rimar JM, Hsiao AL, Nussbaum MS. Automated analysis of electronic medical record data reflects the pathophysiology of operative complications. Surgery 2013, 154: 918-926. PMID: 24074431, DOI: 10.1016/j.surg.2013.07.014.Peer-Reviewed Original ResearchConceptsElectronic medical recordsNumber of complicationsRothman IndexPostoperative complicationsColorectal proceduresPhysiologic dysfunctionDischarge International ClassificationElectronic medical record dataOrgan system dysfunctionPresence of sepsisIncidence of complicationsDirect costsMedical record dataDuration of stayRepeated-measures analysisPerioperative complicationsPostoperative sepsisOperative complicationsOperative patientsOrgan dysfunctionOverall incidencePreoperative counselingPhysiologic assessmentNursing observationsPatient cohort