Episode
Taking Physician Compensation Beyond the Spreadsheet with Jamaal Campbell
- Podcast
- MGMA Podcasts
- Published
- Sep 9, 2026
- Duration seconds
- 1314
- Processing state
not_requested- Canonical source
- https://mgma-podcasts.transistor.fm/782
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Summary
On this episode of the MGMA Insights Podcast, host and senior editor Daniel Williams sits down with Jamaal Campbell, general manager of Physician Enterprise at Hallmark, to explore how healthcare organizations can simplify physician compensation, reduce administrative risk and give leaders faster access to reliable workforce data. Campbell explains why compensation administration remains highly dependent on spreadsheets and disconnected systems, even as physician enterprises grow more complex. He also discusses the financial and compliance consequences of manual processes, the importance of transparency for physician and APP engagement, and the groundwork organizations should complete before adopting a compensation management platform. Episode takeaways Physician compensation often depends on disconnected data. Information may originate in the electronic health record, practice management platform, human resources systems, contracts and locally maintained spreadsheets. Every handoff introduces another opportunity for an error or delay. Simpler plans can improve understanding and trust. Physicians and APPs may not know how complicated compensation formulas translate into their payments. Clearer mechanics and accessible performance data help providers understand how they are paid and assess whether calculations are accurate. Specialized compensation talent is increasingly difficult to find. As physician enterprises expand through employment and consolidation, organizations need analysts and leaders who understand finance, contracts, benchmarks and compensation mechanics. Campbell says professionals with that combination of expertise have become organizational “unicorns.” A single source of truth supports faster decisions. When compensation calculations and source data ar…