2024
Dispelling the magic of artificial intelligence in medical education
McQuade C, Wijesekera T, Chartash D. Dispelling the magic of artificial intelligence in medical education. Medical Education 2024 PMID: 39301702, DOI: 10.1111/medu.15536.Peer-Reviewed Original ResearchPatient-Representing Population's Perceptions of GPT-Generated Versus Standard Emergency Department Discharge Instructions: Randomized Blind Survey Assessment
Huang T, Safranek C, Socrates V, Chartash D, Wright D, Dilip M, Sangal R, Taylor R. Patient-Representing Population's Perceptions of GPT-Generated Versus Standard Emergency Department Discharge Instructions: Randomized Blind Survey Assessment. Journal Of Medical Internet Research 2024, 26: e60336. PMID: 39094112, PMCID: PMC11329854, DOI: 10.2196/60336.Peer-Reviewed Original ResearchComputationally derived transition points across phases of clinical care
Gilson A, Chartash D, Taylor R, Hart L. Computationally derived transition points across phases of clinical care. Npj Digital Medicine 2024, 7: 151. PMID: 38862589, PMCID: PMC11167560, DOI: 10.1038/s41746-024-01145-1.Peer-Reviewed Original ResearchAutomated HEART score determination via ChatGPT: Honing a framework for iterative prompt development
Safranek C, Huang T, Wright D, Wright C, Socrates V, Sangal R, Iscoe M, Chartash D, Taylor R. Automated HEART score determination via ChatGPT: Honing a framework for iterative prompt development. Journal Of The American College Of Emergency Physicians Open 2024, 5: e13133. PMID: 38481520, PMCID: PMC10936537, DOI: 10.1002/emp2.13133.Peer-Reviewed Original ResearchPrompt designsChest pain evaluationRule-based logicScore determinationLanguage modelPrivacy safeguardsPrompt improvementExtract insightsPain evaluationClinical notesRate of responseDiagnostic performancePhysician assessmentPrompt testingDetermination of heartChatGPTDesign frameworkNote analysisHeartSubscoresSimulated patientsClinical spaceThe Scope of Multimorbidity in Family Medicine: Identifying Age Patterns Across the Lifespan
Chartash D, Gilson A, Taylor R, Hart L. The Scope of Multimorbidity in Family Medicine: Identifying Age Patterns Across the Lifespan. The Journal Of The American Board Of Family Medicine 2024, 37: 251-260. PMID: 38740476, DOI: 10.3122/jabfm.2023.230221r1.Peer-Reviewed Original ResearchConceptsRates of multimorbidityICD-10 diagnostic codesFamily medicine clinicPresence of multimorbidityHealth care systemCardiometabolic disordersMedical historyStudy periodMultimorbidity rateMultimorbidity indexGroup of diagnosesPatient transitionsFamily medicineGeriatric careRetrospective cohort studyCare systemMental healthMultimorbidityMedicine clinicDiagnostic codesPractical resourcesAlcohol use disorderCohort studyAged 0Age groupsCorrection: How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment
Gilson A, Safranek C, Huang T, Socrates V, Chi L, Taylor R, Chartash D. Correction: How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment. JMIR Medical Education 2024, 10: e57594. PMID: 38412478, PMCID: PMC10933712, DOI: 10.2196/57594.Peer-Reviewed Original ResearchAlgorithms in medical decision-making and in everyday life: what’s the difference?
Chartash D, Bruno M. Algorithms in medical decision-making and in everyday life: what’s the difference? Diagnosis 2024, 11: 244-249. PMID: 38386866, DOI: 10.1515/dx-2024-0010.Peer-Reviewed Original Research
2023
Computational phenotypes for patients with opioid-related disorders presenting to the emergency department
Taylor R, Gilson A, Schulz W, Lopez K, Young P, Pandya S, Coppi A, Chartash D, Fiellin D, D’Onofrio G. Computational phenotypes for patients with opioid-related disorders presenting to the emergency department. PLOS ONE 2023, 18: e0291572. PMID: 37713393, PMCID: PMC10503758, DOI: 10.1371/journal.pone.0291572.Peer-Reviewed Original ResearchConceptsSubstance use disordersUse disordersED visitsPatient presentationCarlson comorbidity indexOpioid-related diagnosesOpioid-related disordersOne-year survivalRate of medicationOpioid use disorderElectronic health record dataPatient-oriented outcomesYears of ageHealth record dataChronic substance use disordersED returnComorbidity indexAcute overdoseMedical managementClinical entityRetrospective studyEmergency departmentChronic conditionsInclusion criteriaUnique cohortThe Role of Large Language Models in Medical Education: Applications and Implications
Safranek C, Sidamon-Eristoff A, Gilson A, Chartash D. The Role of Large Language Models in Medical Education: Applications and Implications. JMIR Medical Education 2023, 9: e50945. PMID: 37578830, PMCID: PMC10463084, DOI: 10.2196/50945.Peer-Reviewed Original ResearchMedical educationCore Entrustable Professional ActivitiesMedical education communityEntrustable professional activitiesPreclinical curriculumEducation communityMedical schoolsMedical studentsProfessional activityStudentsEducationPractice casesLearningMedical knowledgeInsufficient abilityInterpersonal interactionsExtensive discourseHealth care landscapeImmersive interactionCare landscapeCurriculumImminent roleSchoolsBrainstormingNonverbal cuesA pipeline for the retrieval and extraction of domain-specific information with application to COVID-19 immune signatures
Newton A, Chartash D, Kleinstein S, McDougal R. A pipeline for the retrieval and extraction of domain-specific information with application to COVID-19 immune signatures. BMC Bioinformatics 2023, 24: 292. PMID: 37474900, PMCID: PMC10357743, DOI: 10.1186/s12859-023-05397-8.Peer-Reviewed Original ResearchConceptsDomain-specific informationDocument embeddingsSVM classifierSemi-structured representationsTraining setWeb-based formKnowledge repositoryInformation modelAutomatic analysisClassifier predictionsClassifierSignature informationAutomated systemBiomedical publicationsPaper authorsEmbeddingIncomplete information modelLiterature miningIterative processSpecific informationSuch informationInformationLimited setSetQueriesAuthors’ Reply to: Variability in Large Language Models’ Responses to Medical Licensing and Certification Examinations
Gilson A, Safranek C, Huang T, Socrates V, Chi L, Taylor R, Chartash D. Authors’ Reply to: Variability in Large Language Models’ Responses to Medical Licensing and Certification Examinations. JMIR Medical Education 2023, 9: e50336. PMID: 37440299, PMCID: PMC10375396, DOI: 10.2196/50336.Peer-Reviewed Original ResearchPredicting relations between SOAP note sections: The value of incorporating a clinical information model
Socrates V, Gilson A, Lopez K, Chi L, Taylor R, Chartash D. Predicting relations between SOAP note sections: The value of incorporating a clinical information model. Journal Of Biomedical Informatics 2023, 141: 104360. PMID: 37061014, PMCID: PMC10197152, DOI: 10.1016/j.jbi.2023.104360.Peer-Reviewed Original ResearchHow Does ChatGPT Perform on the United States Medical Licensing Examination? The Implications of Large Language Models for Medical Education and Knowledge Assessment
Gilson A, Safranek C, Huang T, Socrates V, Chi L, Taylor R, Chartash D. How Does ChatGPT Perform on the United States Medical Licensing Examination? The Implications of Large Language Models for Medical Education and Knowledge Assessment. JMIR Medical Education 2023, 9: e45312. PMID: 36753318, PMCID: PMC9947764, DOI: 10.2196/45312.Peer-Reviewed Original ResearchReflections on the Documentation Burden Reduction AMIA Plenary Session through the Lens of 25 × 5
Levy D, Sloss E, Chartash D, Corley S, Mishuris R, Rosenbloom S, Tiase V. Reflections on the Documentation Burden Reduction AMIA Plenary Session through the Lens of 25 × 5. Applied Clinical Informatics 2023, 14: 11-15. PMID: 36356593, PMCID: PMC9812582, DOI: 10.1055/a-1976-2052.Peer-Reviewed Original Research
2022
Informatics in Undergraduate Medical Education: Analysis of Competency Frameworks and Practices Across North America
Chartash D, Rosenman M, Wang K, Chen E. Informatics in Undergraduate Medical Education: Analysis of Competency Frameworks and Practices Across North America. JMIR Medical Education 2022, 8: e39794. PMID: 36099007, PMCID: PMC9516378, DOI: 10.2196/39794.Peer-Reviewed Original ResearchBuilding the Generalist Physician to Support Adolescence and Emerging Adulthood: A Narrative Review
Chartash D, Hart L. Building the Generalist Physician to Support Adolescence and Emerging Adulthood: A Narrative Review. Cureus 2022, 14: e22533. PMID: 35345691, PMCID: PMC8956274, DOI: 10.7759/cureus.22533.Peer-Reviewed Original Research
2021
Documentation of Shared Decisionmaking in the Emergency Department
Chartash D, Sharifi M, Emerson B, Frank R, Schoenfeld EM, Tanner J, Brandt C, Taylor RA. Documentation of Shared Decisionmaking in the Emergency Department. Annals Of Emergency Medicine 2021, 78: 637-649. PMID: 34340873, DOI: 10.1016/j.annemergmed.2021.04.038.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCommunicationDecision Making, SharedElectronic Health RecordsEmergency MedicineFemaleHumansInfantInfant, NewbornMaleMiddle AgedNatural Language ProcessingPhysician-Patient RelationsRetrospective StudiesSurveys and QuestionnairesYoung AdultConceptsPatient discussionsED notesPatient-centered communicationCommercial insurance statusEmergency department settingAdvanced practice providersMixed-effects logistic regressionLarge health systemEffects logistic regressionWhite patientsMale patientsBlack patientsED physiciansEmergency departmentProvider notesInsurance statusDepartment settingRetrospective analysisHigher oddsPractice providersLower oddsClinical practiceMultiple potential factorsLogistic regressionHealth systemGender bias in resident evaluations: Natural language processing and competency evaluation
Andrews J, Chartash D, Hay S. Gender bias in resident evaluations: Natural language processing and competency evaluation. Medical Education 2021, 55: 1383-1387. PMID: 34224606, DOI: 10.1111/medu.14593.Peer-Reviewed Original ResearchThe Clinical Engineering–Information Technology Professional Practice Interface
Chartash D, Grout R. The Clinical Engineering–Information Technology Professional Practice Interface. Journal Of Clinical Engineering 2021, 46: 135-140. DOI: 10.1097/jce.0000000000000472.Peer-Reviewed Original ResearchCore taskClinical decision support systemDecision support systemClinical informaticistsSupport systemSystem complexityInformaticsClinical systemsCase studyTaskEngineering designComplexityHierarchical levelsClinical engineeringInformaticistsDeploymentEngineeringSystemDesignEngineersApplied SciencesInterfaceClinical engineersDivideAnalysis of Health Trajectories Leading to Adverse Opioid-Related Events.
Gilson AS, Chartash D, Chang D, Hawk K, D'Onofrio G, Haimovich AD, Fiellin DA, Taylor RA. Analysis of Health Trajectories Leading to Adverse Opioid-Related Events. AMIA Joint Summits On Translational Science Proceedings 2021, 2021: 248-256. PMID: 34457139, PMCID: PMC8378649.Peer-Reviewed Original ResearchConceptsRelative riskHealth trajectoriesHealth service eventsPatient risk factorsMental health diagnosesHigher relative riskLargest relative riskCombination of diagnosisViral hepatitisPatient cohortRisk factorsRisk-based interventionsMental health codesNatural historyPatient diagnosisHealth diagnosisDiagnosisTherapy agentsPotential causal mechanismsRiskAverage populationAOEHealth CodeHepatitisOpioids