2024
The National Healthcare Safety Network’s digital quality measures: CDC’s automated measures for surveillance of patient safety
Shehab N, Alschuler L, McILvenna S, Gonzaga Z, Laing A, deRoode D, Dantes R, Betz K, Zheng S, Abner S, Stutler E, Geimer R, Benin A. The National Healthcare Safety Network’s digital quality measures: CDC’s automated measures for surveillance of patient safety. Journal Of The American Medical Informatics Association 2024, 31: 1199-1205. PMID: 38563821, PMCID: PMC11031211, DOI: 10.1093/jamia/ocae064.Peer-Reviewed Original ResearchConceptsNational Healthcare Safety NetworkFast Healthcare Interoperability ResourcesPublic health surveillancePatient safetyHealth surveillanceHealthcare facility-onset Clostridioides difficile infectionPrevent patient harmQuality measuresBurden of reportingImprove data collectionPatient harmInteroperability ResourcesPublic healthSafety NetworkHealthData collectionValidity of dataClostridioides difficile infectionVenous thromboembolismCollaborative programSurveillanceNationalHealthcareHarmIncreasing speed
2018
Improving Mandatory Vaccination Against Influenza: Minimizing Anxiety of Employees to Maximize Health of Patients
Benin A, Lockwood G, Creatore T, Donovan D, Predmore M, MacArthur S. Improving Mandatory Vaccination Against Influenza: Minimizing Anxiety of Employees to Maximize Health of Patients. American Journal Of Medical Quality 2018, 33: 372-382. PMID: 29301403, DOI: 10.1177/1062860617748738.Peer-Reviewed Original ResearchConceptsMandatory vaccination campaignPersonal anxietyNegative feelingsSubstantial anxietyMandatory vaccinationAnxietyEmployeesHospital-acquired influenzaInterview transcriptsHealth care workersConstant comparative methodPerception of vaccinationHealth of patientsStrong desireQualitative interviewsChildren's HospitalFree vaccinationVaccination campaignCare workersVaccinationSuch programsDesireInfluenzaPatientsHospital
2016
Electronic approaches to making sense of the text in the adverse event reporting system
Benin AL, Fodeh SJ, Lee K, Koss M, Miller P, Brandt C. Electronic approaches to making sense of the text in the adverse event reporting system. Journal Of Healthcare Risk Management 2016, 36: 10-20. PMID: 27547874, DOI: 10.1002/jhrm.21237.Peer-Reviewed Original ResearchConceptsRule-based queryMachine learningUse casesSemi-supervised machine learningWeb-based software toolSoftware systemsSoftware toolsHigh recallQueriesRich informationElectronic approachRobust programEvent reportsDaily workLearningImportant dataHigh precisionReporting systemInformationTextMachineSystemEvent Reporting SystemAdverse Event Reporting SystemError