Consider a daughter who signs up for disease information on behalf of her father. Weeks later, he enrolls in copay assistance and asks another website for updates. To the family, this is one patient’s experience. To fragmented systems, it can look like three unrelated records, and one of them belongs to a different person.

The difference matters more than it first appears. A duplicate email is an annoyance. Treating a caregiver as the patient, or carrying a permission from one program into another, damages trust that rare-disease companies spend years building. Yet patient CRM modernization is usually planned as a platform or campaign migration. The harder work is deciding who each record represents, what communication it permits, how quickly changes reach every system, and who answers for the data when it is wrong.

In 2025 I led the data integration and migration workstream of a patient CRM modernization at a rare-disease company. We connected nine integrations spanning six websites, a patient-services environment and a legacy CRM. In the first 75 days after cutover, internal reporting showed 30% less time to plan and execute patient communications and 45% less rework from changing requirements; we later presented these results at an industry conference. These are operational results; they say nothing about clinical outcomes. The four decisions behind them apply to any technology stack.

The visible part of a CRM migration is rebuilding messages and campaigns. We began with a data audit and a ranked inventory of campaigns instead. Before moving any journey, we had to establish whether two records described the same patient, and whether the person acting on that patient’s behalf was someone else entirely.

Source link