Brian C Sauer
Dados Biográficos
| ID | 5542571 |
|---|---|
| NOME | Brian C Sauer |
| PRENOMES | Brian C |
| SOBRENOME | Sauer |
| ASSINATURA | SAUER B C |
| AFILIAÇÕES | University of Utah |
| ORCID | 0000-0002-3546-3051 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 5 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 5 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2007 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2021 |
| ÍNDICE H | 0 |
Predicting Survival in Veterans with Follicular Lymphoma Using Structured Electronic Health Record Information and Machine Learning
The most accurate prognostic approach for follicular lymphoma (FL), progression of disease at 24 months (POD24), requires two years' observation after initiating first-line therapy (L1) to predict outcomes. We applied machine learning to structured electronic health record (EHR) data to predict individual survival at L1 initiation. We grouped 523 observations and 1933 variables from a nationwide cohort of FL patients diagnosed 2006-2014 in the Ve…
In Data We Trust? Comparison of Electronic Versus Manual Abstraction of Antimicrobial Prescribing Quality Metrics for Hospitalized Veterans With Pneumonia
BACKGROUND: Electronic health records provide the opportunity to assess system-wide quality measures. Veterans Affairs Pharmacy Benefits Management Center for Medication Safety uses medication use evaluation (MUE) through manual review of the electronic health records. OBJECTIVE: To compare an electronic MUE approach versus human/manual review for extraction of antibiotic use (choice and duration) and severity metrics. RESEARCH DESIGN: Retrospect…
A Simulation-Based Evaluation of Methods to Estimate the Impact of an Adverse Event on Hospital Length of Stay
INTRODUCTION: We used agent-based simulation to examine the problem of time-varying confounding when estimating the effect of an adverse event on hospital length of stay. Conventional analytic methods were compared with inverse probability weighting (IPW). METHODS: A cohort of hospitalized patients, at risk for experiencing an adverse event, was simulated. Synthetic individuals were assigned a severity of illness score on admission. The score var…
Developing Indicators of Inpatient Adverse Drug Events Through Nonlinear Analysis Using Administrative Data
BACKGROUND: Because of uniform availability, hospital administrative data are appealing for surveillance of adverse drug events (ADEs). Expert-generated surveillance rules that rely on the presence of International Classification of Diseases, 9th Revision Clinical Modification (ICD-9-CM) codes have limited accuracy. Rules based on nonlinear associations among all types of available administrative data may be more accurate. OBJECTIVES: By applying…
Out-of-Pocket Pharmacy Expenditures for Veterans Under Medicare Part D
OBJECTIVES: Because the VA pharmacy benefit is deemed equivalent coverage to Medicare Part D, veterans can use either or both of these Federal benefits. We sought to determine how these programs' different benefit structures and low-income assistance thresholds would affect pharmacy out-of-pocket expenses for veterans. METHODS: We reviewed income and asset tests performed at the Salt Lake City VA in fiscal year 2005, and estimated the number of i…
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A Simulation-Based Evaluation of Methods to Estimate the Impact of an Adverse Event on Hospital Length of Stay
INTRODUCTION: We used agent-based simulation to examine the problem of time-varying confounding when estimating the effect of an adverse event on hospital length of stay. Conventional analytic methods were compared with inverse probability weighting (IPW). METHODS: A cohort of hospitalized patients, at risk for experiencing an adverse event, was simulated. Synthetic individuals were assigned a severity of illness score on admission. The score var…
Developing Indicators of Inpatient Adverse Drug Events Through Nonlinear Analysis Using Administrative Data
BACKGROUND: Because of uniform availability, hospital administrative data are appealing for surveillance of adverse drug events (ADEs). Expert-generated surveillance rules that rely on the presence of International Classification of Diseases, 9th Revision Clinical Modification (ICD-9-CM) codes have limited accuracy. Rules based on nonlinear associations among all types of available administrative data may be more accurate. OBJECTIVES: By applying…
Out-of-Pocket Pharmacy Expenditures for Veterans Under Medicare Part D
OBJECTIVES: Because the VA pharmacy benefit is deemed equivalent coverage to Medicare Part D, veterans can use either or both of these Federal benefits. We sought to determine how these programs' different benefit structures and low-income assistance thresholds would affect pharmacy out-of-pocket expenses for veterans. METHODS: We reviewed income and asset tests performed at the Salt Lake City VA in fiscal year 2005, and estimated the number of i…
In Data We Trust? Comparison of Electronic Versus Manual Abstraction of Antimicrobial Prescribing Quality Metrics for Hospitalized Veterans With Pneumonia
BACKGROUND: Electronic health records provide the opportunity to assess system-wide quality measures. Veterans Affairs Pharmacy Benefits Management Center for Medication Safety uses medication use evaluation (MUE) through manual review of the electronic health records. OBJECTIVE: To compare an electronic MUE approach versus human/manual review for extraction of antibiotic use (choice and duration) and severity metrics. RESEARCH DESIGN: Retrospect…
Predicting Survival in Veterans with Follicular Lymphoma Using Structured Electronic Health Record Information and Machine Learning
The most accurate prognostic approach for follicular lymphoma (FL), progression of disease at 24 months (POD24), requires two years' observation after initiating first-line therapy (L1) to predict outcomes. We applied machine learning to structured electronic health record (EHR) data to predict individual survival at L1 initiation. We grouped 523 observations and 1933 variables from a nationwide cohort of FL patients diagnosed 2006-2014 in the Ve…
Medicine (5 obras) · Health care (3 obras) · Internal Medicine (3 obras) · Adverse effect (2 obras) · Computer Science (2 obras) · Emergency Medicine (2 obras) · Emergency Medicine (2 obras) · Family medicine (2 obras) · Health records (2 obras) · Internal Medicine (2 obras)