2024
Learning implementation of a guideline based decision support system to improve hypertension treatment in primary care in China: pragmatic cluster randomised controlled trial
Song J, Wang X, Wang B, Ge Y, Bi L, Jing F, Jin H, Li T, Gu B, Wang L, Hao J, Zhao Y, Liu J, Zhang H, Li X, Li J, Ma W, Wang J, Normand S, Herrin J, Armitage J, Krumholz H, Zheng X. Learning implementation of a guideline based decision support system to improve hypertension treatment in primary care in China: pragmatic cluster randomised controlled trial. The BMJ 2024, 386: e079143. PMID: 39043397, PMCID: PMC11265211, DOI: 10.1136/bmj-2023-079143.Peer-Reviewed Original ResearchConceptsClinical decision support systemsPrimary care practicesElectronic health recordsIntervention groupSystolic blood pressurePrimary careCare practicesBlood pressure <Health recordsPragmatic cluster randomised controlled trialCluster randomised controlled trialImproving hypertension treatmentPrimary care settingBlood pressure control ratesBlood pressureProportion of visitsProportion of participantsRandomised controlled trialsSystolic blood pressure <Control groupInjurious fallsRelated visitsCare settingsDiastolic blood pressure <Follow-up
2021
Association between 30-day readmission rates and health information technology capabilities in US hospitals
Elysee G, Yu H, Herrin J, Horwitz LI. Association between 30-day readmission rates and health information technology capabilities in US hospitals. Medicine 2021, 100: e24755. PMID: 33663091, PMCID: PMC7909153, DOI: 10.1097/md.0000000000024755.Peer-Reviewed Original ResearchConceptsRisk-standardized readmission ratesHealth IT capabilitiesLower readmission riskReadmission riskReadmission ratesHealth information technologyElectronic health recordsHospital dischargeRetrospective cross-sectional studyU.S. acute care hospitalsHealth recordsAcute care hospitalsCross-sectional studyFragmentation of careHospital-level risk-standardized readmission ratesOne-point increaseHospital Compare websiteHealth information technology capabilitiesCare hospitalOutcome measuresOutpatient providersUS hospitalsCare deliveryPatient accessClinical stakeholders
2020
Pragmatic cluster randomized trial to evaluate effectiveness and implementation of enhanced EHR-facilitated cancer symptom control (E2C2)
Finney Rutten LJ, Ruddy KJ, Chlan LL, Griffin JM, Herrin J, Leppin AL, Pachman DR, Ridgeway JL, Rahman PA, Storlie CB, Wilson PM, Cheville AL. Pragmatic cluster randomized trial to evaluate effectiveness and implementation of enhanced EHR-facilitated cancer symptom control (E2C2). Trials 2020, 21: 480. PMID: 32503661, PMCID: PMC7275300, DOI: 10.1186/s13063-020-04335-w.Peer-Reviewed Original ResearchConceptsPragmatic clusterSymptom controlCancer patientsEvidence-based implementation strategiesModerate sleep disturbanceInadequate symptom controlSelf-management supportRural-dwelling patientsLevel of careTeam of cliniciansElectronic health recordsMixed-methods evaluationClinical outcomesCare guidelinesPhysical functionSleep disturbancesCollaborative careClinical trialsHybrid type 2Care modelFunctional limitationsPatientsEHR algorithmType 2Clinical staff
2017
An observational study of the relationship between meaningful use-based electronic health information exchange, interoperability, and medication reconciliation capabilities
Elysee G, Herrin J, Horwitz LI. An observational study of the relationship between meaningful use-based electronic health information exchange, interoperability, and medication reconciliation capabilities. Medicine 2017, 96: e8274. PMID: 29019898, PMCID: PMC5662321, DOI: 10.1097/md.0000000000008274.Peer-Reviewed Original Research
2014
Impact of an EHR-Based Diabetes Management Form on Quality and Outcomes of Diabetes Care in Primary Care Practices
Herrin J, da Graca B, Aponte P, Stanek HG, Cowling T, Fullerton C, Hollander P, Ballard DJ. Impact of an EHR-Based Diabetes Management Form on Quality and Outcomes of Diabetes Care in Primary Care Practices. American Journal Of Medical Quality 2014, 30: 14-22. PMID: 24399633, DOI: 10.1177/1062860613516991.Peer-Reviewed Original ResearchConceptsPrimary care practicesAspirin prescriptionBlood pressureOptimal careCare practicesLow-density lipoprotein cholesterolChronic disease careDelivery of careElectronic health recordsDMF useFoot examsInsulin useLipoprotein cholesterolPrimary outcomeLDL cholesterolDisease careDiabetes careDiabetes patientsEvidence-based targetsHealth information technologyMicroalbumin testNumber of visitsLess improvementPatientsCare
2012
The Effectiveness of Implementing an Electronic Health Record on Diabetes Care and Outcomes
Herrin J, da Graca B, Nicewander D, Fullerton C, Aponte P, Stanek G, Cowling T, Collinsworth A, Fleming NS, Ballard DJ. The Effectiveness of Implementing an Electronic Health Record on Diabetes Care and Outcomes. Health Services Research 2012, 47: 1522-1540. PMID: 22250953, PMCID: PMC3401397, DOI: 10.1111/j.1475-6773.2011.01370.x.Peer-Reviewed Original ResearchConceptsPrimary care practicesBlood pressureDiabetes careOptimal careCare practicesDiastolic blood pressureSystolic blood pressureYears of ageElectronic health record implementationElectronic health recordsAspirin prescriptionUnexposed patientsAspirin useCare bundleInsulin usePatient ageLipid controlPrimary outcomeClinical outcomesLDL cholesterolSmoking cessationChart auditDiabetes measuresDiabetes patientsPatients