DOI: 10.1002/jhm.13356 ISSN: 1553-5592

Impact of billing reforms on academic hospitalist physician and advanced practice provider collaboration: A qualitative study

Sara Westergaard, Kasey Bowden, Gopi J. Astik, Greg Bowling, Angela Keniston, Anne Linker, Matthew Sakumoto, Natalie Schwatka, Andrew Auerbach, Marisha Burden
  • Assessment and Diagnosis
  • Care Planning
  • Health Policy
  • Fundamentals and skills
  • General Medicine
  • Leadership and Management

Abstract

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.