Why I’m posting this: This is the pattern I see right before integration logic turns into infrastructure, and teams don’t realize it’s happening until much later.
Raw PMS data behaves well inside a single practice, it doesn’t feel like an accident, it’s more so the scope the system was designed for.
Once you aggregate across locations or various health record systems, assumptions start breaking with edits that overwrite intent, collapsed history and “authoritative” becomes contextual.
The data hasn’t degraded, it’s more that the context has expanded.
This is usually where integration logic starts accumulating exceptions.
Over time, those exceptions stop being temporary fixes and start becoming architecture.
When did you cross the line in the sand to unstable? Was it a slow creep for you too?
Top comments (0)