2023
Use of an Automated Bilingual Digital Health Tool to Reduce Unhealthy Alcohol Use Among Latino Emergency Department Patients
Vaca F, Dziura J, Abujarad F, Pantalon M, Hsiao A, Reynolds J, Maciejewski K, Field C, D’Onofrio G. Use of an Automated Bilingual Digital Health Tool to Reduce Unhealthy Alcohol Use Among Latino Emergency Department Patients. JAMA Network Open 2023, 6: e2314848. PMID: 37219901, PMCID: PMC10208138, DOI: 10.1001/jamanetworkopen.2023.14848.Peer-Reviewed Original ResearchConceptsStandard care groupNumber of bingesEmergency department patientsStandard careED patientsCare groupBrief interventionDepartment patientsAlcohol screeningDisease burdenUnhealthy drinkingDigital health toolsLevel II trauma centerHealth toolsParticipants 25 yearsAlcohol-related health disparitiesTertiary care centerAdverse health behaviorsUnhealthy alcohol useHigh disease burdenAlcohol use disorderTimeline followback methodEmergency medical careSelf-reported numberHigh-risk drinking
2021
Disparities in Accessing and Reading Open Notes in the Emergency Department Upon Implementation of the 21st Century CURES Act
Sangal RB, Powers E, Rothenberg C, Ndumele C, Ulrich A, Hsiao A, Venkatesh AK. Disparities in Accessing and Reading Open Notes in the Emergency Department Upon Implementation of the 21st Century CURES Act. Annals Of Emergency Medicine 2021, 78: 593-598. PMID: 34353651, DOI: 10.1016/j.annemergmed.2021.06.014.Peer-Reviewed Original ResearchConceptsProportion of patientsPatient portal accessEmergency departmentOpen notesClinical notesPortal accessPublic insuranceUrgent care centersCentury Cures ActDifferent patient demographicsSingle health systemPatient demographicsPrimary outcomeCures ActPatient utilizationPatient visitsCare centerObservational studyPatientsDigital health toolsAge 18Health systemHealth toolsUnique barriersNon-English speakersClinical characteristics and outcomes for 7,995 patients with SARS-CoV-2 infection
McPadden J, Warner F, Young HP, Hurley NC, Pulk RA, Singh A, Durant TJS, Gong G, Desai N, Haimovich A, Taylor RA, Gunel M, Dela Cruz CS, Farhadian SF, Siner J, Villanueva M, Churchwell K, Hsiao A, Torre CJ, Velazquez EJ, Herbst RS, Iwasaki A, Ko AI, Mortazavi BJ, Krumholz HM, Schulz WL. Clinical characteristics and outcomes for 7,995 patients with SARS-CoV-2 infection. PLOS ONE 2021, 16: e0243291. PMID: 33788846, PMCID: PMC8011821, DOI: 10.1371/journal.pone.0243291.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 infectionYale New Haven HealthSARS-CoV-2Hospital mortalityRisk of admissionMale sexRisk factorsSARS-CoV-2 testingInvasive mechanical ventilationSevere acute respiratory syndrome virusBurden of diseaseRT-PCR testingAcademic health systemDiverse patient populationsRespiratory syndrome virusEthnic groupsAdult patientsClinical characteristicsDischarge dispositionRespiratory supportPrimary outcomeTreatment guidelinesMechanical ventilationRetrospective studyPatient populationEarly identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules
Shung D, Tsay C, Laine L, Chang D, Li F, Thomas P, Partridge C, Simonov M, Hsiao A, Tay JK, Taylor A. Early identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules. Journal Of Gastroenterology And Hepatology 2021, 36: 1590-1597. PMID: 33105045, DOI: 10.1111/jgh.15313.Peer-Reviewed Original ResearchConceptsNatural language processingElectronic health recordsLanguage processingNLP algorithmSystematized NomenclatureReal timeAcute gastrointestinal bleedingBidirectional Encoder RepresentationsDecision rulesEHR-based phenotyping algorithmsGastrointestinal bleedingRisk stratification scoresEncoder RepresentationsData elementsPhenotyping algorithmStratification scoresHealth recordsAlgorithmPhenotyping of patientsEmergency department patientsTime of presentationRisk stratification modelED reviewDeploymentExternal validation
2020
COVID-19 infections and outcomes in a live registry of heart failure patients across an integrated health care system
Caraballo C, McCullough M, Fuery MA, Chouairi F, Keating C, Ravindra NG, Miller PE, Malinis M, Kashyap N, Hsiao A, Wilson FP, Curtis JP, Grant M, Velazquez EJ, Desai NR, Ahmad T. COVID-19 infections and outcomes in a live registry of heart failure patients across an integrated health care system. PLOS ONE 2020, 15: e0238829. PMID: 32997657, PMCID: PMC7526909, DOI: 10.1371/journal.pone.0238829.Peer-Reviewed Original ResearchConceptsHeart failure patientsIntegrated health care systemHeart Failure RegistryHealth care systemFailure patientsCOVID-19 infectionCare systemCOVID-19SARS-CoV-2 infectionReal-time registryRenin-angiotensin blockersRetrospective chart reviewCoronary artery diseaseRisk of deathCOVID-19 testingAngiotensin blockersMultiple comorbiditiesRespiratory failureChart reviewSymptomatic patientsArtery diseaseHeart failureComorbid conditionsPatient mortalityClinical management
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
“What do you know?”——knowledge among village doctors of lead poisoning in children in rural China
Huang R, Ning H, Baum CR, Chen L, Hsiao A. “What do you know?”——knowledge among village doctors of lead poisoning in children in rural China. BMC Public Health 2017, 17: 895. PMID: 29169343, PMCID: PMC5701361, DOI: 10.1186/s12889-017-4895-2.Peer-Reviewed Original ResearchConceptsVillage doctorsLead poisoningResultsA totalMultifaceted interventionsBackgroundThis studyPrevention strategiesCollege-level educationConclusionsThis studyLevel educationPoor knowledgeRural childrenPrevention measuresChildrenDoctorsQuestionnaire-based surveyPoisoningRural ChinaRural populationTest questionnaireClear needQuestionnaireAnnual incomeMethodsA