TL;DL
- A merger does not create a legacy data problem. It exposes one, and it adds another portfolio on top. No one usually owns retiring what earlier deals left behind.
- Every retained system keeps costing money. Licensing, hosting, support, security, and staff capacity accrue yearly, making effective healthcare legacy data management critical to remove those costs for good.
- Start the inventory before the deal closes. Early IT involvement shapes the TSA terms, savings model, and budget, and locks in data extraction rights before that leverage disappears.
- Assess, then sequence. Build a full inventory with ownership, usage, retention rules, and system connections, then turn it into a rationalization roadmap prioritized by cost and risk.
- Archive around who needs the data. Clinicians, HIM, finance, compliance, and legal each have different access needs, and imaging takes the most work to keep viewable.
- Pick one accountable partner with concurrent throughput, verifiable certifications, M&A experience, and documented outcomes.
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Introduction:
Health systems are good at closing deals. They are far less mature at retiring what those deals leave behind. Over 75 percent of 2025 healthcare provider M&A deals involved one provider organization acquiring another much like it, according to McKinsey's analysis of US healthcare dealmaking. Horizontal deals like these produce the most redundancy with a second EHR, a second revenue cycle system, a second imaging archive, and dozens of ancillary applications no one planned to keep