The first 90 days after acquiring an RCM company are a data problem before they are an automation problem.
Automation sounds attractive because the pain is visible: denials, slow cash, manual portals, payer follow-up, staff capacity, and inconsistent reporting. But if the platform automates on top of unclear data, it can make the system more fragile.
Start with the operating foundation.
1. Inventory the source systems
List the systems that touch claims, payers, providers, patient responsibility, prior authorization, eligibility, clearinghouse submission, denial work queues, payment posting, and reporting.
Do not assume the official system is the only system. Spreadsheets and local queues often contain the real operating truth.
2. Normalize the core entities
Before building advanced workflows, standardize the basics:
- Claims
- Payers
- Providers
- Patients or de-identified patient references
- Eligibility checks
- Prior authorizations
- Denial events
- Appeals
- Payments
- Staff capacity
- Workflow state
3. Capture baseline metrics
The acquisition baseline matters because it lets the platform separate actual improvement from reporting drift.
Useful baseline metrics include denial rate, clean claim rate, days in A/R, net collection rate, cost to collect, claim volume, payer mix, root cause distribution, and staffing levels.
4. Map workflow ownership
For each major workflow, identify whether the work is handled by a vendor, an internal tool, a manual team, or a hybrid process.
The goal is not to replace everything. The goal is to know which system owns which step and where the data returns.
5. Choose the first wedge carefully
Good first wedges are close to clean data and high-volume workflows. Eligibility, prior authorization, claim scrubbing, denial classification, and appeals are common candidates, but the best answer depends on the acquired company’s actual bottlenecks.
The platform should start where better data and workflow routing can create operational clarity without requiring a full rip-and-replace.