Mark Iscoe, MD, MHS
Assistant Professor of Emergency Medicine and Biomedical Informatics and Data ScienceCards
About
Research
Publications
2024
Benchmarking Emergency Physician EHR Time per Encounter Based on Patient and Clinical Factors
Iscoe M, Venkatesh A, Holland M, Krumholz H, Sheares K, Melnick E. Benchmarking Emergency Physician EHR Time per Encounter Based on Patient and Clinical Factors. JAMA Network Open 2024, 7: e2427389. PMID: 39136949, PMCID: PMC11322841, DOI: 10.1001/jamanetworkopen.2024.27389.Peer-Reviewed Original ResearchIdentifying signs and symptoms of urinary tract infection from emergency department clinical notes using large language models
Iscoe M, Socrates V, Gilson A, Chi L, Li H, Huang T, Kearns T, Perkins R, Khandjian L, Taylor R. Identifying signs and symptoms of urinary tract infection from emergency department clinical notes using large language models. Academic Emergency Medicine 2024, 31: 599-610. PMID: 38567658, DOI: 10.1111/acem.14883.Peer-Reviewed Original ResearchElectronic health recordsNatural language processingNatural language processing modelsEmergency departmentTransformer-based modelsClinical notesF1-measureClinical decision supportLanguage modelSpaCy modelsU.S. health systemElements of natural language processingPublic health surveillanceConvolutional neural network-based modelProcessing long documentsIdentification of symptomsHealth recordsHealth systemClinician notesNeural network-based modelMedical careHealth surveillanceSymptom identificationEntity recognitionNetwork-based modelAutomated 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 space
2023
PROSER: A Web-Based Peripheral Blood Smear Interpretation Support Tool Utilizing Electronic Health Record Data
Iscoe M, Loza A, Turbiville D, Campbell S, Peaper D, Balbuena-Merle R, Hauser R. PROSER: A Web-Based Peripheral Blood Smear Interpretation Support Tool Utilizing Electronic Health Record Data. American Journal Of Clinical Pathology 2023, 160: 98-105. PMID: 37026746, DOI: 10.1093/ajcp/aqad024.Peer-Reviewed Original ResearchConceptsQuality improvement studyElectronic health recordsLaboratory valuesWeb-based clinical decision support toolClinical decision support toolElectronic health record dataHealth record dataImprovement studyResident trainingBlood smear interpretationClinical outcomesMorphologic findingsAcademic hospitalCorresponding reference rangesMedication informationReference rangeMicroscopy findingsCDS toolsIntervention effectsPathology practiceSmear interpretationHealth recordsRecord dataPathologistsPatients
2022
Restoring Meaningful Content to the Medical Record: Standardizing Measurement Could Improve EHR Utility While Decreasing Burden
Iscoe MS, McLean RM, Melnick ER. Restoring Meaningful Content to the Medical Record: Standardizing Measurement Could Improve EHR Utility While Decreasing Burden. Mayo Clinic Proceedings 2022, 97: 1971-1974. PMID: 36210197, DOI: 10.1016/j.mayocp.2022.07.007.Peer-Reviewed Original ResearchConceptsMedical recordsEmergency physicians' EHR use across hospitals: A cross-sectional analysis
Iscoe MS, Holland ML, Paek H, Flood C, Melnick ER. Emergency physicians' EHR use across hospitals: A cross-sectional analysis. The American Journal Of Emergency Medicine 2022, 61: 205-207. PMID: 35842301, DOI: 10.1016/j.ajem.2022.07.014.Peer-Reviewed Original ResearchDevelopment and Implementation of a Standard Format for Clinical Laboratory Test Results
Hauser RG, Quine DB, Iscoe M, Arvisais-Anhalt S. Development and Implementation of a Standard Format for Clinical Laboratory Test Results. American Journal Of Clinical Pathology 2022, 158: 409-415. PMID: 35713605, DOI: 10.1093/ajcp/aqac067.Peer-Reviewed Original ResearchCluster Analysis of Primary Care Physician Phenotypes for Electronic Health Record Use: Retrospective Cohort Study
Fong A, Iscoe M, Sinsky CA, Haimovich A, Williams B, O'Connell RT, Goldstein R, Melnick E. Cluster Analysis of Primary Care Physician Phenotypes for Electronic Health Record Use: Retrospective Cohort Study. JMIR Medical Informatics 2022, 10: e34954. PMID: 35275070, PMCID: PMC9055474, DOI: 10.2196/34954.Peer-Reviewed Original ResearchElectronic health recordsCare physiciansEHR timeRetrospective cohort studyRetrospective cohort analysisElectronic health record usePrimary care physiciansOffice-based physician practicesClusters of physiciansAmbulatory care physiciansCohort studyCohort analysisPediatric specialtiesInternal medicineRecord useEHR usePhysiciansPhysician practicesHealth recordsFamily medicineHoursPhenotype clustersPhenotypeLarge proportionMedicine
2017
Teaching medical students about cost‐effectiveness
Iscoe M, Lord R, Schulz J, Lee D, Cayea D, Pahwa A. Teaching medical students about cost‐effectiveness. The Clinical Teacher 2017, 15: 24-28. PMID: 28322509, DOI: 10.1111/tct.12613.Peer-Reviewed Original ResearchConceptsHigh-value careBurdensome health care costsCost-effectiveness analysisHealth care costsMedical studentsQuality-adjusted life yearsIncremental cost-effectiveness ratioCare costsPractice of high-value careLevels of medical educationCost of careUS medical schoolsSmall group exercisesTeaching medical studentsInternal medicine clerkshipUndergraduate medical studentsLikert-type scalePatient careCare implicationsCost-effectiveness ratioMedicine clerkshipMedical educationProportion of studentsWell-receivedLife years
2014
The Student Curriculum Review Team: How we catalyze curricular changes through a student-centered approach
Hsih K, Iscoe M, Lupton J, Mains T, Nayar S, Orlando M, Parzuchowski A, Sabbagh M, Schulz J, Shenderov K, Simkin D, Vakili S, Vick J, Xu T, Yin O, Goldberg H. The Student Curriculum Review Team: How we catalyze curricular changes through a student-centered approach. Medical Teacher 2014, 37: 1008-1012. PMID: 25532595, DOI: 10.3109/0142159x.2014.990877.Peer-Reviewed Original ResearchConceptsStudent-centered approachCourse evaluation dataPre-clinical coursesAssess potential solutionsJohns Hopkins University School of MedicineStudent-centeredCurriculum evaluationStudent-ledCurricular changesStudent feedbackImprove medical educationStudentsCourse directorsMedical schoolsMedical educationAcademic institutionsSchool of MedicineCollaborative modelReview teamFacultyEvaluation dataUniversity School of MedicineTown hall meetingsCourseInstitutions