Compensation Platform Modernization

Envision Healthcare · 2024–Present

Modernizing a legacy physician compensation program by reducing manual exceptions, increasing clinician transparency (including RVU/CPT visibility), and sequencing pilots (transparency → compensation) to regain momentum while standardizing pay models for scale.

Role
Project Manager (EPMO)
Scope
$2M+ modernization initiative
Cadence
Biweekly sprints · staged pilots
Focus
Transparency · Standardization · Pilot delivery
Team
8–10 core contributors + vendor + partner-team consults

Context

Goal: replace a legacy, highly manual compensation workflow with a platform and operating model that improves accuracy, reduces exception handling, and gives clinicians clear visibility into how pay is derived.
  • Acquisition-driven complexity: the legacy system evolved to accommodate many local pay plans and pay-cycle cadences (weekly/biweekly/monthly), increasing complexity with each new site that didn’t fit a standard model.
  • Operational drag: compensation relied on manual exceptions and “off-system” math, increasing rework and risk.
  • Low transparency: clinicians had limited visibility into RVU / CPT-level inputs, which reduced trust and made resolution slower.
  • Many upstream dependencies: the workflow touched timekeeping, HRIS, coding/RCM, billing, and payroll—so alignment across teams was essential.

Approach

  • Governance at the right altitude: monthly executive SteerCo (business + clinical), weekly clinical SteerCo, and a daily core working group during sprints to keep decisions moving.
  • Biweekly sprint cadence: iterative build/test cycles with clear owners, dated commitments, and explicit dependency tracking in Smartsheet and ServiceNow.
  • Pilots as a product loop: structured rollout as staged pilots to gather clinician feedback early, resolve usability gaps, and validate data/logic before cutover.
  • Change management as a deliverable: direct engagement with clinicians and site leaders; real-time support during pilot windows; feedback captured via structured forms.
  • Dependency management: partnered closely with the compensation simplification workstream so plan standardization and system automation stayed in lockstep.

I optimized for “make the next decision easier” because that’s what keeps cross-functional programs from stalling.

Decision snapshots

Sequence delivery: RVU first to restore momentum

Problem: early discovery showed hourly compensation logic was more complex than expected, increasing risk to timelines and trust.

Move: validated current-state complexity with Compensation, Contracting, and HRIS; mapped incremental build effort with the vendor; then pivoted delivery sequencing to prioritize RVU workflows first.

Result: enabled earlier clinician access via an RVU transparency pilot (late 2025 / early 2026) while hourly requirements were re-scoped.

Pilot design: transparency → compensation (run in parallel)

Decision: structure pilots in two phases—first to validate visibility and usability, then to validate compensation calculations—before a full cutover.

Tradeoffs: two pilots add coordination overhead, but reduce cutover risk and create cleaner feedback loops for clinicians and site leaders.

Result: Pilot 1 provided CPT/RVU visibility and a live feedback channel; Pilot 2 (compensation) runs calculations in-platform while continuing the legacy workflow in parallel for validation.

Make standardization a gating dependency

Problem: every non-standard pay plan increases exceptions and reduces the ability to scale automation across sites.

Move: partnered with compensation leadership and the parallel simplification PM to align plan design and system configuration as one integrated roadmap.

Result: reduced “one-off” configuration pressure and positioned the platform for expansion to additional sites/service lines.

Pilot feedback loop

The transparency pilot was designed as a fast feedback cycle: clinicians used the platform in real conditions, and we iterated quickly on the highest-friction issues.

  • Search and filtering friction: while the platform provider works on improving search, I shipped an interim workflow that lets clinicians copy/paste their data into a lightweight spreadsheet for quick filtering and analysis.
  • Self-serve data manipulation: packaged a simple export-and-analysis template so clinicians could answer common questions without waiting on support tickets.
  • Clearer site labeling: added site names and standardized naming within two sprints to reduce ambiguity in multi-site views.

Outcomes

  • Clinician transparency (in pilot): clinicians can see RVU / CPT-line detail as records pass coding QA—visibility that previously wasn’t available at scale.
  • Adoption signals met: clinicians engaged actively in the transparency view, and pilot satisfaction was positive (qualitative + survey-based).
  • Reduced manual exception pathways (expected): simplified, standardized compensation models are designed to cut down manual touches and rework as automation increases.
  • Scalable support model (in progress): redesigned support paths and documentation aligned to the new platform to reduce “tribal knowledge” dependence.

Note: specific KPI values and internal system/vendor details are intentionally generalized.

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