2024
409 The Impact of Level Loading in a Large Academic Medical System
Dilip M, Su H, Zhang W, Meng L, Tuffuor K, Pham L, Fogarty R, Venkatesh A, Pinker E, Sangal R. 409 The Impact of Level Loading in a Large Academic Medical System. Annals Of Emergency Medicine 2024, 84: s184-s185. DOI: 10.1016/j.annemergmed.2024.08.408.Peer-Reviewed Original ResearchImpact of Capacity Strain on the Health Status of Patients Discharged From an Intensive Care Unit
Kim S, Pinker E, Rimar J. Impact of Capacity Strain on the Health Status of Patients Discharged From an Intensive Care Unit. Production And Operations Management 2024 DOI: 10.1177/10591478241276134.Peer-Reviewed Original ResearchICU capacity strainCapacity strainPatient healthIntensive care unitHealth statusHealth status of patientsQuality of careShorter length of stayLength of stayStatus of patientsPatient dischargeOutcome measuresPatient admissionsTeaching hospitalHealthPatient statusCare unitPost hoc analysisHospitalPost-hocPatientsCareResearch approach
2023
Inequities among patient placement in emergency department hallway treatment spaces
Tuffuor K, Su H, Meng L, Pinker E, Tarabar A, Van Tonder R, Chmura C, Parwani V, Venkatesh A, Sangal R. Inequities among patient placement in emergency department hallway treatment spaces. The American Journal Of Emergency Medicine 2023, 76: 70-74. PMID: 38006634, DOI: 10.1016/j.ajem.2023.11.013.Peer-Reviewed Original ResearchEscalation of careAdjusted odds ratioED revisitsHallway bedsEmergency departmentHigher oddsPatient placementPatient insurance coverageSocial risk factorsPatient social factorsDischarge AMAED visitsSecondary outcomesPatient agePatient demographicsPrimary outcomeMale sexPatient sexTreatment spaceED censusFemale sexRisk factorsOdds ratioED staffingObservational studySociodemographic Disparities in Queue Jumping for Emergency Department Care
Sangal R, Su H, Khidir H, Parwani V, Liebhardt B, Pinker E, Meng L, Venkatesh A, Ulrich A. Sociodemographic Disparities in Queue Jumping for Emergency Department Care. JAMA Network Open 2023, 6: e2326338. PMID: 37505495, PMCID: PMC10383013, DOI: 10.1001/jamanetworkopen.2023.26338.Peer-Reviewed Original ResearchConceptsCross-sectional studyHigh acuityPatient demographicsSame acuityLatino ethnicityNon-Hispanic raceEmergency department careBed placementTime of triageNon-Hispanic blacksNon-Hispanic whitesED visitsPrimary outcomeED arrivalED patientsMedicaid insuranceMean ageTriage acuityStudy visitAcuity patientsSociodemographic disparitiesED outcomesHigher oddsMAIN OUTCOMECare access
2021
Projecting Religious Demographics: The Case of Jews in the United States
Pinker E. Projecting Religious Demographics: The Case of Jews in the United States. Journal For The Scientific Study Of Religion 2021, 60: 229-251. DOI: 10.1111/jssr.12716.Peer-Reviewed Original ResearchCritical Care Nursing: A Key Constraint to COVID-19 Response and Healthcare Now and in the Future.
Kurth A, Pinker E, Martinello RA, Honan L, Choi S, Beckman B. Critical Care Nursing: A Key Constraint to COVID-19 Response and Healthcare Now and in the Future. JONA The Journal Of Nursing Administration 2021, 51: e6-e12. PMID: 33570376, DOI: 10.1097/nna.0000000000000991.Peer-Reviewed Original Research
2019
Using the Shapes of Clinical Data Trajectories to Predict Mortality in ICUs
Ma J, Lee DKK, Perkins ME, Pisani MA, Pinker E. Using the Shapes of Clinical Data Trajectories to Predict Mortality in ICUs. Critical Care Explorations 2019, 1: e0010. PMID: 32166256, PMCID: PMC7063876, DOI: 10.1097/cce.0000000000000010.Peer-Reviewed Original ResearchPrecision-recall curveTrajectory informationData trajectoriesStatistical learning techniquesRandom forest classifierRelevant shape featuresStatistical learning modelsLearning techniquesMachine learningElectronic health recordsTrajectory featuresLearning modelShape featuresForest classifierTime series dataManual extractionHealth recordsPredictive modelingSeries dataPredictive performanceInformationPatients' clinical dataDynamic predictionClassifierTime seriesDynamic Relational Contracts for Quality Enforcement in Supply Chains
Bondareva M, Pinker E. Dynamic Relational Contracts for Quality Enforcement in Supply Chains. Management Science 2019, 65: 1305-1321. DOI: 10.1287/mnsc.2017.2990.Peer-Reviewed Original Research
2018
Reporting accuracy of rare event classifiers
Pinker E. Reporting accuracy of rare event classifiers. Npj Digital Medicine 2018, 1: 56. PMID: 31304335, PMCID: PMC6550134, DOI: 10.1038/s41746-018-0062-0.Peer-Reviewed Original ResearchPublic Warnings in Counterterrorism Operations: Managing the “Cry-Wolf” Effect When Facing a Strategic Adversary
Bakshi N, Pinker E. Public Warnings in Counterterrorism Operations: Managing the “Cry-Wolf” Effect When Facing a Strategic Adversary. Operations Research 2018, 66: 977-993. DOI: 10.1287/opre.2018.1721.Peer-Reviewed Original Research
2017
Development of Imminent Mortality Predictor for Advanced Cancer (IMPAC), a Tool to Predict Short-Term Mortality in Hospitalized Patients With Advanced Cancer
Adelson K, Lee DKK, Velji S, Ma J, Lipka SK, Rimar J, Longley P, Vega T, Perez-Irizarry J, Pinker E, Lilenbaum R. Development of Imminent Mortality Predictor for Advanced Cancer (IMPAC), a Tool to Predict Short-Term Mortality in Hospitalized Patients With Advanced Cancer. JCO Oncology Practice 2017, 14: jop.2017.023200. PMID: 29206553, DOI: 10.1200/jop.2017.023200.Peer-Reviewed Original ResearchConceptsShort-term mortalityAdvanced cancerChance of deathLife carePrognostic toolNovel prognostic toolObjective prognostic toolSmilow Cancer HospitalDay of admissionElectronic health record dataMedian survival timeSubjective clinical assessmentHealth record dataPositive predictive valueMedian survivalHospitalized patientsMortality predictorsCancer HospitalPrognostication toolsClinical assessmentSurvival timePatientsPredictive valueCancerMortalityRothman Index Predicts ICU Mortality at 24 Hours
Perkins M, Knauert M, Honiden S, Siner J, Ma J, Lee D, Pinker E, Pisani M. Rothman Index Predicts ICU Mortality at 24 Hours. CHEST Journal 2017, 152: a332. DOI: 10.1016/j.chest.2017.08.358.Peer-Reviewed Original ResearchAn EOQ model for perishable goods with age-dependent demand rate
Dobson G, Pinker E, Yildiz O. An EOQ model for perishable goods with age-dependent demand rate. European Journal Of Operational Research 2017, 257: 84-88. DOI: 10.1016/j.ejor.2016.06.073.Peer-Reviewed Original ResearchThe Impact of Increasing Staff Resources on Patient Flow in a Psychiatric Emergency Service
Chepenik L, Pinker E. The Impact of Increasing Staff Resources on Patient Flow in a Psychiatric Emergency Service. Psychiatric Services 2017, 68: 470-475. PMID: 28045348, DOI: 10.1176/appi.ps.201600202.Peer-Reviewed Original Research
2016
Introduction to the OR Forum Article: “An Algorithmic Approach to Linear Regression”
Pinker E. Introduction to the OR Forum Article: “An Algorithmic Approach to Linear Regression”. Operations Research 2016, 64: 1-1. DOI: 10.1287/opre.2016.1479.Commentaries, Editorials and Letters
2015
Introduction to the OR Forum Article: “Tenure Analytics: Models for Predicting Research Impact”
Pinker E. Introduction to the OR Forum Article: “Tenure Analytics: Models for Predicting Research Impact”. Operations Research 2015, 63: 1245-1245. DOI: 10.1287/opre.2015.1469.Commentaries, Editorials and LettersIntroduction to the OR Forum Article: “A Glimpse at An Operation Analyst’s World War II Work: ‘Report on the Combat Performance of the Remote Control Turrets of B-29 Aircraft'”
Pinker E. Introduction to the OR Forum Article: “A Glimpse at An Operation Analyst’s World War II Work: ‘Report on the Combat Performance of the Remote Control Turrets of B-29 Aircraft'”. Operations Research 2015, 63: 1-1. DOI: 10.1287/opre.2015.1384.Commentaries, Editorials and Letters
2014
Introduction to the OR Forum Article: “Design of Risk Weights”
Pinker E. Introduction to the OR Forum Article: “Design of Risk Weights”. Operations Research 2014, 62: 1203-1203. DOI: 10.1287/opre.2014.1336.Commentaries, Editorials and LettersOn the complexity of project scheduling to minimize exposed time
Pinker E, Szmerekovsky J, Tilson V. On the complexity of project scheduling to minimize exposed time. European Journal Of Operational Research 2014, 237: 448-453. DOI: 10.1016/j.ejor.2014.02.013.Peer-Reviewed Original Research
2013
Determining the Optimal Configuration of Hospital Inpatient Rooms in the Presence of Isolation Patients
Pinker E, Tezcan T. Determining the Optimal Configuration of Hospital Inpatient Rooms in the Presence of Isolation Patients. Operations Research 2013, 61: 1259-1276. DOI: 10.1287/opre.2013.1220.Peer-Reviewed Original Research