COMPARE · 4 min read
Local vs Cloud AI Checklist for Hospitals
The deployment decision usually gets framed as a technology preference. It is really a risk-allocation decision: where does PHI move, who owns the logs, how many workflows need to share the same stack, and what happens when the first pilot succeeds and the second workflow is waiting behind it?
Cloud usually wins when a team wants the shortest route to an ambient-scribe pilot and already has a mature BAA-based operating model.
Local deployment wins when residency, auditability, or multi-workflow stack reuse are binding architectural requirements.
Use the checklist below to document which constraint is binding before the team treats a vendor demo as the decision.
Where the deployment decision gets made
Hospitals rarely choose local versus cloud in the abstract. The decision gets made when one of four constraints becomes non-negotiable: a privacy boundary, a need for shared infrastructure across workflows, an audit requirement, or a procurement timeline that values speed over control. If none of those constraints is explicit, teams drift toward whichever demo looks easiest.
Moneli Automation's role in that moment is to force the trade-off into the open. If the hospital wants one workflow with minimal lift, cloud may be the right short-term answer. If the long-term goal is a hospital-owned stack for multiple clinical workflows, local is often the cleaner architecture from day one.
Local vs cloud decision table
| Decision dimension | Local / private deployment | Cloud deployment |
|---|---|---|
| PHI boundary | Best when no PHI should leave the hospital or province. | Best when BAA-backed external processing is already acceptable. |
| Workflow expansion | One stack can support scribe, search, discharge drafting, and handoff workflows. | Each new workflow often introduces a separate vendor and control surface. |
| Operational speed | Slower to stand up because infrastructure and governance must be defined early. | Faster to pilot because the app is largely prepackaged. |
| Auditability | Better when the hospital wants direct control over logs, retention, and model changes. | Depends on the vendor exposing enough telemetry for security and privacy review. |
| Model flexibility | Lets the team swap models as open-weight options improve. | Ties the hospital to the vendor's model roadmap and hosting choices. |
Checklist for the steering committee
- checkIs there any policy, residency rule, or board-level requirement that makes external PHI processing unacceptable?
- checkDo we expect the first successful pilot to be followed quickly by two or more adjacent workflows?
- checkDoes the security team need hospital-controlled logs, retention, encryption, and model-change governance?
- checkIs speed-to-pilot more important than stack reuse during the next 6–12 months?
- checkWould Moneli Automation need to scope an on-prem WalledCare pilot in parallel so the team can compare both paths honestly?
Questions to resolve before procurement
- checkIf the cloud pilot succeeds, what new dependency have we accepted for our second workflow?
- checkIf we choose local first, who owns the operational runbook, uptime expectations, and clinician-support workflow?
- checkWhich decision would be hardest to reverse after six months: infrastructure ownership or vendor lock-in?
- checkWhat evidence do we need from the pilot to show that the chosen deployment model reduces risk rather than simply moving it?
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