CMMS for Hospitals
Reliable biomedical, HVAC and utility maintenance for patient safety.
Hospital maintenance sits at the intersection of clinical urgency and mechanical reality — a ventilator fault or a chiller failure in the OT wing can't wait in a ticket queue. AssetAI runs biomedical, HVAC, medical-gas and backup-power equipment through the same asset registry, PM scheduler and work-order engine used across industries, giving hospital facilities and biomedical teams one place to track fault history, service coverage and equipment risk — without needing a separate hospital-specific module bolted on.
From a ward fault report to a closed work order
Clinical and ward staff are usually the first to notice something's wrong with equipment, but they won't install an app or remember a login mid-shift. AssetAI's QR-scan flow is built around that constraint:
- Staff scan the machine's QR tag, enter their name and a company scan PIN — no account, no app to learn.
- They record severity (normal / high / emergency), whether the machine has stopped, the failure mode from a preset list, and up to five photos.
- Emergency severity skips the approval step entirely and raises the work order immediately, so a failed ventilator or OT monitor doesn't sit waiting for sign-off.
- Every breakdown and corrective work order is code-gated on a recorded failure cause and remedy before it can close, so the fault history behind each device is real, not a paper log filled in after the fact.
For equipment serviced on run-hours rather than the calendar — autoclaves, compressors, generators — meter-based schedules trigger PM on actual usage. Statutory inspection schedules carry their own regulation/statute field, certificate number, and a separate closure approval step, which fits a pattern where one role inspects and another signs off, without us dressing that up as more than what it is: a workflow gate, not a certification.
What AssetAI intentionally doesn't claim
Hospital procurement teams often ask about permit-to-work, accreditation reporting, or biomedical device integration — worth being direct about where the platform stands:
- There's no permit-to-work module with issue/close cycles or approval gates for hazardous jobs like LOTO or gas isolation. Each asset carries a Safety Measure master list that prints on the job sheet as a reference, not an authorisation system.
- Work-order and closure history is timestamped and stored, but there's no immutable audit ledger — so any claim that this alone satisfies NABH, JCI or ISO audit requirements needs separate verification against your accreditation body's actual checklist.
- There's no DICOM support, device telemetry, or vendor-API connectivity for biomedical equipment — AssetAI tracks the asset record, service history and AMC/warranty coverage, not live device data.
If your rollout depends on any of those, treat AssetAI as the maintenance-workflow layer underneath, not the compliance system itself — and confirm gaps before committing timelines.
Rolling it out across a hospital group
Coverage state (in warranty > under AMC > expired > none) is derived automatically and stamped onto every service call, with the AMC vendor pre-filled — useful when most biomedical servicing runs through OEM contracts rather than in-house staff. A daily sweep flags upcoming expiries so AMC renewals don't get missed. For groups running several facilities, multi-plant structure keeps each site's data scoped separately while still reportable centrally. Criticality and RRR scoring then help decide, with visible reasoning, whether an ageing ICU monitor gets repaired again or replaced.
Start with the fault-reporting workflow on one ward or one facility — see what a CMMS actually does, check the feature list, or book a 30-minute walkthrough on your own equipment list rather than a slide deck.
Hospital equipment doesn't fail on a predictable schedule, and it doesn't come in one flavour — a biomedical fleet, HVAC plant, medical-gas lines and DG sets all need different service logic even though they sit under the same facilities team. That mix is where a generic CMMS engine with enough schedule types earns its keep.
Matching schedule type to equipment reality
Not every asset should be maintained on the same clock, and treating them that way is a common way hospital PM programs quietly drift out of compliance:
- Calendar-based PM for HVAC and utility equipment serviced on a fixed cycle regardless of use.
- Meter/usage-based PM for autoclaves, compressors and generators, where run-hours or cycles — not the calendar — determine when service is due.
- Calibration schedules for biomedical devices where accuracy drift matters more than wear.
- Statutory inspection schedules, which carry their own regulation/statute field and certificate number, plus a separate closure approval step — one role inspects, another closes, matching how biomedical-engineer and facility-head sign-off is usually split.
- Predictive/condition and lubrication schedules for equipment where condition monitoring or routine servicing sits outside a strict calendar.
Running all six through one asset registry means a biomedical engineer and a facilities manager are looking at the same system, not two disconnected spreadsheets.
Deciding where limited maintenance hours go
Hospital facilities teams are usually stretched thin, and not every fault deserves the same urgency. AssetAI attaches a criticality rating (High/Medium/Low) to each asset, and an RRR score — repair, review or replace — built from repair cost against purchase price, failure trend, and downtime cost. For an ageing ICU monitor or ventilator that keeps coming back for repair, the RRR verdict shows its reasoning as plain lines rather than a black-box score, which is easier to defend in a budget conversation than a gut call. Paired with downtime cost, MTTR, MTBF and PM compliance tracking, plus a failure-mode Pareto, it turns "this machine keeps breaking" into a data trail rather than an opinion — the same underlying logic covered in OEE explained, applied to equipment reliability instead of production lines.
Coverage and vendors without chasing paperwork
Biomedical equipment is often serviced entirely by OEM or AMC vendors rather than in-house staff, so knowing what's covered matters as much as knowing what's broken. AssetAI derives coverage per asset — in warranty, under AMC, expired, or none — and auto-stamps it onto every service call, pre-filling the vendor from the asset's AMC vendor or supplier record. A daily sweep at 06:15 flags upcoming expiries so a contract doesn't lapse unnoticed on a critical device. For hospital groups running several facilities, the same multi-plant structure scopes each site's data separately while still rolling up centrally — worth comparing against other use cases and industries on the main industries page before deciding how many facilities to bring on in one instance. If you're weighing this against building something custom, the pricing page and a walkthrough via book a demo are the fastest way to see the schedule types and RRR logic against your own equipment list — and for teams benchmarking against broader quality frameworks, ISO's standards library is a useful outside reference point, alongside AssetAI's own ISO & standards notes.
CMMS for Hospitals FAQs
How do we track calibration schedules for biomedical equipment like patient monitors and ventilators?
AssetAI schedules calibration cycles as a dedicated schedule type, separate from routine maintenance. Each biomedical asset carries a calibration interval (e.g., annual, biennial) linked to the device record. When a calibration due date approaches, the system flags it for technicians. The work order enforces recording the calibration method, result, and certificate number — that certificate is then stored against the asset. Because preventive maintenance schedules and calibration schedules run in the same engine, you see all biomedical compliance in one calendar view instead of hunting through vendor letters or spreadsheets.
What happens when a nurse reports a broken infusion pump but doesn't know the exact model?
The nurse scans the QR code on the pump itself — no login required, no app to download. The system retrieves the asset name and device ID from that scan. The nurse types a fault description (e.g., "alarm beeping, won't prime"), adds her name and a company PIN for audit trail, and submits. A work order is created immediately with the correct asset linked. Because the asset registry holds all device specs, spare-part numbers, and service-contract details, the technician who picks up the job has full context without delay.
How do we prove to auditors that statutory equipment inspections actually happened?
Statutory inspection is a built-in schedule type. When you create a schedule for equipment that requires it (e.g., medical-gas pipelines, pressure vessels, fire-safety systems), you tag it with the relevant regulation or statute name and certificate number. Each time the inspection is due, a work order is generated. The technician cannot close the work order without recording the inspection result and uploading or referencing the inspection certificate. That certificate and completion date are permanently attached to the asset record, creating an auditable chain of compliance across your entire biomedical fleet.
When a biomedical equipment vendor contract expires, how do we know before we lose coverage?
Each asset in AssetAI carries warranty and AMC (Annual Maintenance Contract) fields with start and end dates. The system compares the current date against these fields continuously and calculates live coverage status: in warranty, under AMC, expired, or none. Every morning at 06:15, a sweep runs across all assets and flags any expiries due in the next 30 days (configurable). Ward managers and biomedical heads receive a notification listing equipment losing coverage. This prevents gaps where critical devices like dialysis machines or ventilators fall out of vendor service by accident.
How do we build a real failure history for each piece of biomedical equipment instead of loose notes?
Every breakdown or corrective work order in AssetAI is locked in a workflow that cannot close without two mandatory fields: failure cause and remedy applied. The technician must select from a cause list (e.g., connector loose, battery degraded, software fault) and describe what was done. Once recorded, these entries become a permanent, searchable history per asset. Over time, you can see patterns — for example, that your patient-monitor fleet develops connector issues every eight months — which feeds into better preventive maintenance planning and vendor negotiations.
Can we track which medical devices are under service contracts versus past their warranty?
Yes. AssetAI displays coverage status for every asset: the system shows whether each device is in warranty, under an active AMC, expired, or uncovered. When a technician or nurse reports a fault on a device under AMC, the system automatically stamps that information onto the work order so the service team knows whether to bill the hospital or the vendor. The daily expiry sweep also surfaces which contracts are ending soon, so procurement and biomedical teams can decide whether to renew or plan replacement before coverage lapses and you face emergency service charges.
How do we ensure sterile equipment like autoclaves and surgical instruments don't go into OT without passing preventive maintenance checks?
AssetAI lets you set mandatory PM completion gates before equipment status changes to "available." When an autoclave's sterilization cycle PM is due, staff can't mark it ready for surgery until maintenance completes and logs the check. This prevents contaminated instruments reaching the OT. You get audit trails showing exactly when each piece passed inspection before patient use.