Harnessing the Electronic Health Record and Computerized Provider Order Entry Data for Resource Management During the COVID-19 Pandemic: Development of a Decision TreeOriginal Paper Published on 2021-10-182022-10-31 Journal: JMIR Medical Informatics [Category] COVID-19, [키워드] accounted Algorithm Asymptomatic asymptomatic patient Care CDS clinical criteria clinical decision Clinical decision support clinician collected complex computerized provider order entry correlated COVID-19 COVID-19 pandemic COVID-19 test criteria Critical decision development diagnostic tests EHR Electronic health record eligibility criteria Health hospital implementation IMPROVE incidence Intervention likelihood management molecular objective Patient Personal protective equipment positive Positive test question Record resource Resource utilization resources Result SARS-CoV-2 test SARS-CoV-2 testing selection process Support Symptom symptomatic patient tree triggered [DOI] 10.2196/32303 PMC 바로가기 [Article Type] Original Paper
Development of the International Classification of Diseases Ontology (ICDO) and its application for COVID-19 diagnostic data analysisResearch Published on 2021-10-182022-10-27 Journal: BMC Bioinformatics [Category] COVID-19, [키워드] addressed adopted aligned analyzed annotations applied basic bioinformatics causes characterization Chinese classification clinical components country COVID-19 COVID-19 disease COVID-19 patient Data analysis dataset defined development diabetes Diagnosis diagnostic disease Disease standardization Diseases EHR English etiological Formal ICD ICD10 ICD9 ICDO International kidney Kidney disease lung mapped Occurrence ontologies Ontology organ other diseases over phenotype platform problem profiles provide Result reuse Symptoms website [DOI] 10.1186/s12859-021-04402-2 PMC 바로가기 [Article Type] Research
Development of the International Classification of Diseases Ontology (ICDO) and its application for COVID-19 diagnostic data analysisResearch Published on 2021-10-182022-10-27 Journal: BMC Bioinformatics [Category] Coronavirus, COVID-19, Fulltext, MERS, [키워드] addressed adopted aligned analyzed annotations applied basic bioinformatics causes characterization Chinese classification clinical components country COVID-19 COVID-19 disease COVID-19 patient Data analysis dataset defined development diabetes Diagnosis diagnostic disease Disease standardization Diseases EHR English etiological Formal ICD ICD10 ICD9 ICDO International kidney Kidney disease lung mapped Occurrence ontologies Ontology organ other diseases over phenotype platform problem profiles provide Result reuse Symptoms website [DOI] 10.1186/s12859-021-04402-2 PMC 바로가기 [Article Type] Research
Development of the International Classification of Diseases Ontology (ICDO) and its application for COVID-19 diagnostic data analysis국제 질병 분류 온톨로지 (ICDO)의 국제 분류 개발 및 COVID-19 진단 데이터 분석에 대한 적용Research Published on 2021-10-182022-09-10 Journal: BMC Bioinformatics [Category] 치료기술, 치료제, [키워드] addressed adopted aligned analyzed annotations applied basic bioinformatics causes characterization Chinese classification clinical components country COVID-19 COVID-19 disease COVID-19 patient Data analysis dataset defined development diabetes Diagnosis diagnostic disease Disease standardization Diseases EHR English etiological Formal health problems heart ICD ICD10 ICD9 ICDO International kidney Kidney disease Kidney diseases lung mapped Occurrence ontologies Ontology organ organs other diseases over phenotype platform problem profiles provide Result reuse Signs and symptoms Symptoms use case website [DOI] 10.1186/s12859-021-04402-2 PMC 바로가기 [Article Type] Research
Sociodemographic and clinical features predictive of SARS-CoV-2 test positivity across healthcare visit-types의료 방문 유형 전반에 걸쳐 SARS-CoV-2 검사 양성을 예측하는 사회인구학적 및 임상적 특징Research Article Published on 2021-10-142022-09-12 Journal: PLoS ONE [Category] MERS, SARS, 진단, [키워드] Additive assessment AUROC Care clinical care Clinical characteristics clinical feature collected contributing to COVID-19 case COVID-19 cases death Decision tree develop effort EHR EHR data Electronic health record Electronic health records excluded feature Geographic health systems healthcare implication information initial Inpatient Inpatients Medicine Model Outpatient outreach Patient PCR testing performance Predictive predictor Probability Puget Sound recent risk factor RT-PCR testing SARS-CoV-2 SARS-CoV-2 positivity SARS-CoV-2 RT-PCR SARS-CoV-2 test Seattle Sociodemographic factor sociodemographic factors Support System test result University of Washington Vaccines Washington were used ZIP Code [DOI] 10.1371/journal.pone.0258339 PMC 바로가기 [Article Type] Research Article
Trends in Electronic Health Record Inbox Messaging During the COVID-19 Pandemic in an Ambulatory Practice Network in New EnglandObservational Study Published on 2021-10-122022-10-04 Journal: JAMA Network Open [Category] MERS, 임상, [키워드] ambulatory COVID-19 COVID-19 pandemic cross-sectional EHR England Health network New Patient Practice Record trend Volume [DOI] 10.1001/jamanetworkopen.2021.31490 PMC 바로가기 [Article Type] Observational Study
Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19Article Published on 2021-10-122022-10-04 Journal: Scientific Reports [Category] MERS, 유전자 메커니즘, [키워드] 95% confidence interval Admission Brain Cerebrovascular disease classification Complication condition country COVID-19 COVID-19 severity cross-sectional analysis Disease code disorder EHR EHR data Electronic health record Encephalitis Epidemiology FDR Frequency Healthcare systems hemorrhage hospital Hospitalization hospitalized patient increase in Medical research neurological Neurological disorders neurological phenotype NEUROLOGY outcome pandemic Patient patients hospitalized polymerase chain Population positive Prevalence proportion reverse transcription risk SARS-CoV-2 SARS-COV-2 infection severe COVID-19 severe disease with COVID-19 [DOI] 10.1038/s41598-021-99481-9 PMC 바로가기 [Article Type] Article
International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort StudyOriginal Paper Published on 2021-10-112022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, SARS, [키워드] 95% CI Admission adopted Analysis analyzed approach association C-reactive protein Care change changes in clinical Clinical data Cohort country COVID-19 COVID-19 pandemic creatinine CRP D-dimer Data quality demographic demonstrated effect size EHR EHR data Electronic health records Epidemiology exhibited feasibility federated study female ferritin fibrinogen First wave France Germany Health Health care system heterogeneity heterogeneous hospital Hospitalization hospitalizations Hospitalized indicated Infection International Laboratory Laboratory testing laboratory trajectory male Meta-analysis objective pandemic pathophysiology Patient patients patients hospitalized patients with SARS-CoV-2 performed physiological predominant Prevalence procalcitonin random effect reduction in reported representing Result retrospective cohort study risk SARS-CoV-2 second wave severe COVID-19 severe disease significantly significantly higher significantly lower Spain submitted the mean trajectory [DOI] 10.2196/31400 PMC 바로가기 [Article Type] Original Paper
Budget constrained machine learning for early prediction of adverse outcomes for COVID-19 patientsArticle Published on 2021-10-012022-10-04 Journal: Scientific Reports [Category] MERS, SARS, 바이오마커, [키워드] adverse outcome Analysis approach budget clinical evaluation clinical utility cohort study Combination Computational science COVID-19 patient data-driven Deterioration develop EHR EHR data Electronic health record evaluate example hospitalized COVID-19 patient IMPROVE Infection Laboratory tests ML model Mortality outcome Outcomes research Patient patients with SARS-CoV-2 performed Predictive ProMedica reduction in resource risk risk stratification tested Ventilation ventilatory support was performed [DOI] 10.1038/s41598-021-98071-z PMC 바로가기 [Article Type] Article
COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and ValidationOriginal Paper Published on 2021-09-282022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, SARS, [키워드] 95% CI age Algorithm America Analysis approach AUROC Cardiopulmonary caused characteristic clinical manifestations Clinical treatment Cohort Comorbidity covariate COVID-19 data set death deep deep learning development disease EHR Electronic health record evaluated feature fibrinogen first positive follow-up time hazard ratio Health heterogeneous indicated individual information Kera Laboratory laboratory measurement Laboratory test learning machine learning machine learning model Mayo Clinic Mild Missing data Mortality Neural network nucleic acid test objective oxygen saturation Patient patient population performed predicted prediction provide provided Record recurrent neural networks reducing reported Result retained robust SARS-COV-2 infection serum statistically significant difference Stratification survival Symptom System TensorFlow the SARS-CoV-2 virus the United State Time series Traditional treated validation [DOI] 10.2196/30157 PMC 바로가기 [Article Type] Original Paper