Andrew Auerbach

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Recent Grants

Grant: Close

Achieving Diagnostic Excellence through Prevention and Teamwork (ADEPT)

Open Date: 2022-09-30

Close Date: 2026-09-29

Grant: Close

Utility of Predictive Systems to identify Inpatient Diagnostic Errors: The UPSIDE Study

Open Date: 2019-09-30

Close Date: 2022-09-29

Articles (21)

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2025

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2025

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2025

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2025

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2025

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2025

Background Medicare previously announced plans for new billing reforms for inpatient visits that are shared by physicians and advanced practice providers (APPs) whereby the clinician spending the most time on the patient visit would bill for the visit. Objective To understand how inpatient hospital medicine teams utilize APPs in patient care and how the proposed billing policies might impact future APP utilization. Design, Setting and Participants We conducted focus groups with hospitalist physicians, APPs, and other leaders from 21 academic hospitals across the United States. Utilizing rapid qualitative methods, focus groups were analyzed using a mixed inductive and deductive method at the semantic level with templated summaries and matrix analysis. Thirty‐three individuals (physicians [ n = 21], APPs [ n = 10], practice manager [ n = 1], and patient representative [ n = 1]) participated in six focus groups. Results Four themes emerged from the analysis of the focus groups, including: (1) staffing models with APPs are rapidly evolving, (2) these changes were felt to be driven by staffing shortages, financial models, and governance with minimal consideration to teamwork and relationships, (3) time‐based billing was perceived to value tasks over cognitive workload, and (4) that the proposed billing changes may create unintended consequences impacting collaboration and professional satisfaction. Conclusions Physician and APP collaborative care models are increasingly evolving to independent visits often driven by workloads, financial drivers, and local regulations such as medical staff rules and hospital bylaws. Understanding which staffing models produce optimal patient, clinician, and organizational outcomes should inform billing policies rather than the reverse.

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

Year:

2022

Collaborators (9)

Amy Yu

Assistant Professor

University of Colorado Boulder

UNITED STATES
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Angela Keniston, PhD, MSPH

Associate Professor; Director, Data and Analytics

University of Colorado Anschutz Medical Campus

UNITED STATES
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Valerie M. Vaughn

-

UNITED STATES
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James Harrison

Associate Professor of Medicine

University of California, San Francisco

UNITED STATES
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Margaret C. Fang

-

UNITED STATES
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Marisha Burden

-

UNITED STATES
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Rebecca Sudore

Professor

University of California, San Francisco

UNITED STATES
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Michelle Knees

Assistant Professor/Hospitalist

University of Colorado Hospital

UNITED STATES
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Priya Prasad

Associate Professor

University of California, San Francisco

UNITED STATES
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