2022
Assessing the added value of linking electronic health records to improve the prediction of self-reported COVID-19 testing and diagnosis
Clark-Boucher D, Boss J, Salvatore M, Smith J, Fritsche L, Mukherjee B. Assessing the added value of linking electronic health records to improve the prediction of self-reported COVID-19 testing and diagnosis. PLOS ONE 2022, 17: e0269017. PMID: 35877617, PMCID: PMC9312965, DOI: 10.1371/journal.pone.0269017.Peer-Reviewed Original ResearchConceptsElectronic health recordsHealth recordsCOVID-19-related outcomesCOVID-19 testingSurvey respondentsSelf-reported outcomesSelf-reported dataCOVID-19 outcomesElectronic recordsSurvey dataCOVID-19Prediction modelModel contextSurveyCOVID-19 diagnosisOutcomesPredictor variablesDigital surveyData sourcesCoronavirus disease 2019RespondentsPredictorsCOVID-19 casesDiagnosisRecords
2008
Variability in prescription drug expenditures explained by adjusted clinical groups (ACG) case-mix: A cross-sectional study of patient electronic records in primary care
Aguado A, Guinó E, Mukherjee B, Sicras A, Serrat J, Acedo M, Ferro J, Moreno V. Variability in prescription drug expenditures explained by adjusted clinical groups (ACG) case-mix: A cross-sectional study of patient electronic records in primary care. BMC Health Services Research 2008, 8: 53. PMID: 18318912, PMCID: PMC2292169, DOI: 10.1186/1472-6963-8-53.Peer-Reviewed Original ResearchConceptsPrescription quality indexPatient electronic recordsCase-mixPhysician-centeredElectronic recordsPharmacy costsPrimary care centersEpisode of careCase-mix adjustmentQuality of prescriptionsCost of prescriptionsCross-sectional studyQuality IndexIncreased prescription costsTwo-part modelDrug expendituresFamily physiciansProfile physiciansLinear mixed modelsPrescription costsProportion of variancePrescription drug expendituresPhysician expendituresLogistic regressionMultilevel structure of data