EMRs and their underlying infrastructure need constant maintenance: security patches, vendor releases, interface updates, and operating-system fixes. Skipping patches leaves known vulnerabilities open; applying them carelessly breaks workflows. Disciplined update management threads that needle — keeping the system current against threats without letting an untested release disrupt patient care. The tension is real, which is why so many practices fall into one of two failure modes: they defer updates indefinitely out of fear of breaking something, or they apply them blindly and discover the consequences in production. A defined process avoids both.
Know who patches what
Your responsibilities depend on the deployment model. Clarify the division of duties so nothing falls in a gap — the most dangerous vulnerabilities are often the ones each party assumed the other was handling.
| Layer | Cloud-hosted EMR | On-premise EMR |
|---|---|---|
| EMR application | Mostly vendor; you schedule/test | You apply vendor releases |
| OS / database | Vendor | You |
| Workstations / devices | You | You |
| Network / firewall | You (your side) | You |
Note that even with a cloud-hosted EMR, you almost always retain responsibility for the workstations, mobile devices, and network gear on your side. A perfectly patched cloud application is still reachable through an out-of-date workstation, so don't let the convenience of a hosted system lull you into ignoring the endpoints you still own.
Run a real vulnerability-management process
Don't skip change control
Updates — even security patches — can change behavior or break interfaces. Route them through change control so they're tested and reversible. Change control isn't bureaucracy for its own sake; it's the discipline that lets you move quickly on a critical patch without gambling the practice's operations on it.
- Review vendor release notes for changes affecting workflows, interfaces, or configurations.
- Test updates in a non-production environment before deploying to production where feasible.
- Schedule production changes in a maintenance window with downtime procedures ready.
- Keep a rollback plan and a known-good restore point in case an update misbehaves.
Test the high-risk surfaces
- Interfaces (labs, billing, e-prescribing) — verify they still pass messages after an update.
- Custom templates, order sets, and reports — confirm they survived the release.
- Integrations and third-party apps that depend on stable APIs.
- Printing, scanning, and device connectivity, which break in quietly annoying ways.
These surfaces deserve attention because they're where updates do their most invisible damage. An interface that silently stops passing lab results, or a custom order set that reverted to a default, may not throw an obvious error — it just quietly fails until someone notices results aren't arriving. Build a short post-update verification checklist that exercises each of these, and run it every time, so a regression is caught in minutes rather than days.
Communicate and document
Tell users what's changing before it changes, especially when an update alters a familiar workflow. Post tip sheets for new behavior and have support ready right after a release. Document each change — what, when, who approved it, test results, and outcome — so you have a maintenance history and an audit trail. That record pays off twice: it helps you diagnose problems by showing exactly what changed and when, and it demonstrates to an auditor that you run a deliberate, controlled maintenance program rather than an ad hoc one. CISA also publishes healthcare-specific cybersecurity guidance worth folding into your process. NIST's HIPAA Security Rule guidance frames patch and configuration management as ongoing safeguards. The goal is steady, controlled currency: patched against known threats, but never surprised by an update you didn't test.