Featured Publications
Electronic health record alerts for acute kidney injury: multicenter, randomized clinical trial
Wilson FP, Martin M, Yamamoto Y, Partridge C, Moreira E, Arora T, Biswas A, Feldman H, Garg AX, Greenberg JH, Hinchcliff M, Latham S, Li F, Lin H, Mansour SG, Moledina DG, Palevsky PM, Parikh CR, Simonov M, Testani J, Ugwuowo U. Electronic health record alerts for acute kidney injury: multicenter, randomized clinical trial. The BMJ 2021, 372: m4786. PMID: 33461986, PMCID: PMC8034420, DOI: 10.1136/bmj.m4786.Peer-Reviewed Original ResearchConceptsAcute kidney injuryElectronic health record alertsKidney injuryPrimary outcomeMedical recordsYale New Haven Health SystemCare practicesGlobal Outcomes creatinine criteriaLarge tertiary care centerComposite of progressionDays of randomizationReceipt of dialysisPrespecified secondary outcomesTertiary care centerPatients' medical recordsSmall community hospitalNon-teaching hospitalsElectronic health recordsCreatinine criteriaUsual careSecondary outcomesAdult inpatientsKidney diseaseClinical centersWorse outcomes
2023
Electronic Health Record Embedded Strategies for Improving Care of Patients With Heart Failure
Fuery M, Kadhim B, Samsky M, Freeman J, Clark K, Desai N, Wilson F, Ahmed T, Ahmad T. Electronic Health Record Embedded Strategies for Improving Care of Patients With Heart Failure. Current Heart Failure Reports 2023, 20: 280-286. PMID: 37552356, DOI: 10.1007/s11897-023-00614-0.Peer-Reviewed Original ResearchConceptsHeart failure patientsFailure patientsElectronic health recordsEHR alertClinical trialsRandomized clinical trialsCare of patientsQuality of careHeart failureClinician satisfactionRandomized fashionRecent FindingsTherePatientsUnmet needPatient careClinical decisionEvidence-based decisionsFuture interventionsCareHealth recordsTrialsCliniciansInterventionFindingsThere
2021
Development and external validation of a diagnostic model for biopsy-proven acute interstitial nephritis using electronic health record data
Moledina DG, Eadon MT, Calderon F, Yamamoto Y, Shaw M, Perazella MA, Simonov M, Luciano R, Schwantes-An TH, Moeckel G, Kashgarian M, Kuperman M, Obeid W, Cantley LG, Parikh CR, Wilson FP. Development and external validation of a diagnostic model for biopsy-proven acute interstitial nephritis using electronic health record data. Nephrology Dialysis Transplantation 2021, 37: 2214-2222. PMID: 34865148, PMCID: PMC9755995, DOI: 10.1093/ndt/gfab346.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkersBiopsyCreatinineElectronic Health RecordsHumansInterleukin-9Nephritis, InterstitialTumor Necrosis Factor-alphaConceptsAcute interstitial nephritisInterstitial nephritisUrine biomarkersBiopsy-proven acute interstitial nephritisElectronic health record dataExternal validation cohortTypical clinical featuresBlood urea nitrogenTumor necrosis factorCharacteristic curve analysisHealth record dataExternal validationElectronic health recordsAIN diagnosisModest AUCsSerum creatinineCreatinine ratioKidney biopsyClinical featuresValidation cohortNecrosis factorUnrecognized casesInterleukin-9PatientsUrea nitrogen
2020
A Time-Updated, Parsimonious Model to Predict AKI in Hospitalized Children
Sandokji I, Yamamoto Y, Biswas A, Arora T, Ugwuowo U, Simonov M, Saran I, Martin M, Testani JM, Mansour S, Moledina DG, Greenberg JH, Wilson FP. A Time-Updated, Parsimonious Model to Predict AKI in Hospitalized Children. Journal Of The American Society Of Nephrology 2020, 31: 1348-1357. PMID: 32381598, PMCID: PMC7269342, DOI: 10.1681/asn.2019070745.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAdolescentChildChild, HospitalizedChild, PreschoolElectronic Health RecordsFemaleHumansInfantMachine LearningMaleRetrospective StudiesConceptsExternal validation cohortValidation cohortElectronic health recordsSevere AKIClinical risk stratification toolDevelopment of AKIHealth recordsRisk stratification toolInternal validation cohortLength of stayCharacteristic curveElectronic medical recordsNeonatal AKIInpatient mortalitySecondary outcomesHospital admissionPrimary outcomeHospitalized childrenCreatinine valuesMedical recordsStudy populationAKICohortChildrenPredictive variables
2019
A simple real-time model for predicting acute kidney injury in hospitalized patients in the US: A descriptive modeling study
Simonov M, Ugwuowo U, Moreira E, Yamamoto Y, Biswas A, Martin M, Testani J, Wilson FP. A simple real-time model for predicting acute kidney injury in hospitalized patients in the US: A descriptive modeling study. PLOS Medicine 2019, 16: e1002861. PMID: 31306408, PMCID: PMC6629054, DOI: 10.1371/journal.pmed.1002861.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAgedAged, 80 and overConnecticutDecision Support TechniquesElectronic Health RecordsFemaleHospital MortalityHumansInpatientsMaleMiddle AgedPatient AdmissionPredictive Value of TestsPrognosisRenal DialysisRetrospective StudiesRisk AssessmentRisk FactorsSeverity of Illness IndexTime FactorsConceptsAcute kidney injuryImminent acute kidney injuryElectronic health recordsKidney injuryHospital 1Prediction of AKIRenal replacement therapyOptimal treatment strategyLaboratory dataReceiver operator characteristic curveInternal validation setAKI occurrenceAKI severityHospitalized adultsMedical comorbiditiesOverall cohortAdverse eventsHospitalized patientsSurgical wardsSignificant morbidityReplacement therapyExternal validation data setsHospital 2Hospital 3Study hospital
2018
Utility of Electronic Medical Record Alerts to Prevent Drug Nephrotoxicity
Martin M, Wilson FP. Utility of Electronic Medical Record Alerts to Prevent Drug Nephrotoxicity. Clinical Journal Of The American Society Of Nephrology 2018, 14: 115-123. PMID: 29622668, PMCID: PMC6364537, DOI: 10.2215/cjn.13841217.Commentaries, Editorials and LettersConceptsElectronic medical record alertsAppropriate drug dosingRisk of AKIAKI alertsDrug nephrotoxicityInappropriate prescribingPrompt recognitionClinical outcomesIatrogenic formDrug dosingPatient benefitAKIPrescribers' actionsOff-target effectsPatientsSuch alertsMethods of evaluationNephrotoxicityPrescribingDosingNephrotoxins
2017
Information Technology and Acute Kidney Injury: Alerts, Alarms, Bells, and Whistles
Wilson FP. Information Technology and Acute Kidney Injury: Alerts, Alarms, Bells, and Whistles. Advances In Kidney Disease And Health 2017, 24: 241-245. PMID: 28778364, PMCID: PMC5650118, DOI: 10.1053/j.ackd.2017.05.007.Commentaries, Editorials and Letters
2016
Impact of e-alert for detection of acute kidney injury on processes of care and outcomes: protocol for a systematic review and meta-analysis
Lachance P, Villeneuve PM, Wilson FP, Selby NM, Featherstone R, Rewa O, Bagshaw SM. Impact of e-alert for detection of acute kidney injury on processes of care and outcomes: protocol for a systematic review and meta-analysis. BMJ Open 2016, 6: e011152. PMID: 27150187, PMCID: PMC4861089, DOI: 10.1136/bmjopen-2016-011152.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryEarly DiagnosisElectronic Health RecordsHumansMeta-Analysis as TopicOutcome and Process Assessment, Health CareResearch DesignSystematic Reviews as TopicConceptsAcute kidney injuryE-alertsProcess of careElectronic medical recordsSystematic reviewKidney injuryClinical information systemsEpisode of AKIConsiderable health resourcesPooled effect estimatesHealth resource useHealth service usePatient-centered outcomesGrey literature sourcesResearch ethics approvalMajor morbidityCommon complicationClinical outcomesElectronic alertsPooled analysisMedical recordsPatient outcomesService usePrimary analysisElectronic databases
2015
Automated, electronic alerts for acute kidney injury: a single-blind, parallel-group, randomised controlled trial
Wilson FP, Shashaty M, Testani J, Aqeel I, Borovskiy Y, Ellenberg SS, Feldman HI, Fernandez H, Gitelman Y, Lin J, Negoianu D, Parikh CR, Reese PP, Urbani R, Fuchs B. Automated, electronic alerts for acute kidney injury: a single-blind, parallel-group, randomised controlled trial. The Lancet 2015, 385: 1966-1974. PMID: 25726515, PMCID: PMC4475457, DOI: 10.1016/s0140-6736(15)60266-5.Peer-Reviewed Original ResearchConceptsAcute kidney injuryUsual care groupKidney injuryCare groupAlert groupClinical outcomesElectronic alertsEligible participantsKidney Disease Improving Global OutcomesEnd-stage renal diseaseAcute kidney injury alertsEffective treatment optionIntensive care unitElectronic alert systemComputer-generated sequenceRandomisation strataSurgical admissionsUsual carePrimary outcomeRenal diseaseCare unitTreatment optionsCreatinine valuesCreatinine concentrationSuch injuries
2014
A trial of in-hospital, electronic alerts for acute kidney injury: Design and rationale
Wilson FP, Reese PP, Shashaty MG, Ellenberg SS, Gitelman Y, Bansal AD, Urbani R, Feldman HI, Fuchs B. A trial of in-hospital, electronic alerts for acute kidney injury: Design and rationale. Clinical Trials 2014, 11: 521-529. PMID: 25023200, PMCID: PMC4156885, DOI: 10.1177/1740774514542619.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryCreatinineDouble-Blind MethodElectronic Data ProcessingElectronic Health RecordsHospitalizationHumansOutcome Assessment, Health CareConceptsAcute kidney injuryKidney injuryElectronic alert systemHospitalized patientsElectronic alertsInformed consentStage 1 acute kidney injuryStage 3 acute kidney injuryAcute kidney injury severityStudy outcomesAcute kidney injury alertsLow-risk interventionBroad inclusion criteriaInpatient mortalitySerum creatinineMedical recordsClinical trialsPatient outcomesInclusion criteriaProvider recognitionEarly deathDichotomous outcomesInjury severityPatientsInjury