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Smart Hospital · Health Systems

Find every pump. Move every patient. Prove every metric.

TRACIO designs and delivers hospital-grade real-time location programmes that hit the KPIs the COO, CNO, and CMIO actually report. BLE 5.x AoA, UWB, Passive RFID — integrated with Epic, Cerner Oracle Health, Meditech, and your biomed CMMS.

38%
Rental spend cut
LOS
−1.4 days typical
99%+
Equipment availability
HIPAA
Aligned
Healthcare · Hospital · assets & flowLIVEPump IV-44 foundIn 4 s · Bay 3Ready to useLive, right nowAssets tracked2,100Avg find4sBed turn22mPump IV-44 located in 4 s · Bay 3BLE + RTLS
How it works

Healthcare: the use case, and the numbers it moves.

The right radio for each job — chosen, never sold — mapped to your use case. That is what makes the ROI fast.

1 · Tag

Mobile equipment, beds and staff carry BLE or UWB tags.

2 · Locate

Find any pump, cart or asset in under 30 seconds.

3 · Integrate

Location flows to Epic, Cerner, CMMS and nurse-call.

<30 s
Asset find time
−30%
Rental spend
+ hygiene
Compliance
months
Payback

BLE 5.x AoA → assets · UWB → precision · RFID → supplies

The problems

What we keep seeing in Healthcare programmes.

Equipment hunting

Clinical staff lose 20+ minutes per shift hunting for pumps, telemetry, wheelchairs. Capital rental balloons to cover for what's actually on the floor — somewhere.

Patient flow bottlenecks

ED throughput, bed turn, and discharge readiness all run on tribal knowledge instead of a real signal. LOS suffers. HCAHPS suffers.

Compliance pressure

Joint Commission tracer methodology, hand-hygiene attestation, infant security — every audit is a fire drill instead of an evidenced answer.

What TRACIO delivers

The use cases that consistently pay back.

Mobile medical equipment locating

BLE 5.x AoA across acute care floors. Find any pump, monitor, IV stand within 1–3 metres in under 30 seconds. Direct integration with biomed CMMS for work-order automation.

Patient flow analytics

Real-time bed-state, dwell, and transition events feeding Epic / Cerner. ED-to-floor handoff measured in minutes, not estimated.

Staff safety & duress

Wearable duress badges with sub-room location precision. Code Blue response time measured and improved.

Infant security

UWB or BLE infant-protection programmes with audit-grade chain-of-custody.

Hand-hygiene attestation

Tag-and-dispenser proximity events captured automatically. Compliance dashboards integrated with infection-prevention reporting.

Clinical workflow integration

HL7 v2 / FHIR R4 bridges into Epic, Cerner Oracle Health, Meditech. Location signal triggers nurse-call escalations, OR scheduling adjustments, discharge readiness flags.

Vendors we work across

Hardware & software ecosystem

CenTrak · Stanley Healthcare (Aeroscout) · Sonitor · AiRISTA Flow · Kontakt.io Care · Midmark · Versus / Midmark RTLS

Enterprise integration

Where we plug in

Epic · Cerner Oracle Health · Meditech · Allscripts · ServiceNow IRM/HAM · Biomed CMMS (Maximo, Nuvolo, Connectiv)

Our biomed team was losing hours a day hunting for pumps. BLE locating across our acute sites cut about 26 minutes of search time per nurse per shift and dropped rental spend 38%, with payback inside nine months. Adoption held because they designed it around clinical workflow and our Epic integration first, not the hardware.
Director of Clinical Engineering · multi-site hospital group · EMEAAnonymised at the client’s request. Reference available on request.
Standards & compliance

What we design and document to

HIPAA · HITECH · HL7 v2 / FHIR R4 · Joint Commission tracer methodology · AAMI EQ56 · Care Coordination Performance Measures

Real-world use cases

Healthcare — where the payback shows up.

Infusion pump & mobile equipment tracking

Clinical staff stop hunting for pumps, telemetry and wheelchairs. BLE 5.x AoA and UWB locating cut search time per shift and rental spend by around 38%.

Patient flow & bed management

Bed-state and patient-flow events speed ED throughput and bed turn, integrated with the EMR — length of stay down by over a day in comparable programmes.

Hand-hygiene & staff safety

Automated hand-hygiene compliance, infant security, and staff-duress badges raise audit scores and protect lone clinicians.

USE CASES

Common use cases — what we keep seeing.

Hand-hygiene compliance with point-of-care attribution

Problem: Hand-hygiene compliance is regulator-required (WHO, CDC, NHS) but self-reported compliance overstates real behaviour by 20-40%.

Tech mix: BLE-AoA or UWB on staff badges, BLE/IR sensors on dispensers and bed locations, attribution of every hand-hygiene event to a specific patient encounter.

Outcome: Verified hand-hygiene compliance from 60% to 90%+, HAI rates reduced 20-30%, CMS/CQC compliance evidence.

Infant protection at bed level

Problem: Infant abduction is a low-frequency catastrophic event — bed-level certainty of infant location is mandatory for maternity units.

Tech mix: BLE-AoA or ultrasound tags on infants, exit-door access control, real-time bed-level position monitoring.

Outcome: Zero abduction events post-deployment, mother-infant matching verified, Joint Commission compliance.

Surgical-instrument tracking

Problem: Surgical sets contain hundreds of instruments; tracking through sterilisation, OR use, and re-processing prevents loss and ensures every instrument is on every set.

Tech mix: UWB or sub-cm RTLS on every instrument, fixed readers at sterilisation, OR and storage, integration with sterile-processing software.

Outcome: Instrument loss reduced 80%+, OR set readiness 99%+, never-event risk on retained instruments reduced.

Capital asset utilisation (infusion pumps, ventilators)

Problem: Hospital capital equipment is over-bought because finding free units is slow — actual utilisation is often 30-50% while clinicians can't locate equipment.

Tech mix: BLE-AoA or Wi-Fi RTLS on every device, room-level zone visibility, integration with biomedical engineering CMMS.

Outcome: Capital purchases reduced 15-30%, clinician search time eliminated, biomedical PM compliance improved.

Patient flow & length-of-stay reduction

Problem: Patient throughput in ED, OR and inpatient units depends on visibility of patient location and process status — opaque flow creates bottlenecks.

Tech mix: BLE-AoA on patient bands, EMR integration for process events, dashboards for ED-to-floor and OR-to-discharge flow.

Outcome: ED length of stay reduced 15-25%, OR turnover faster, inpatient throughput up 10-20%.

Wander prevention & elopement reduction

Problem: Confused, dementia, or post-anaesthesia patients can wander; elopement risk is highest in geriatric and behavioural-health units.

Tech mix: BLE wander-management tags on patients, exit-door interlocks, nursing-station alerts on zone-breach.

Outcome: Elopement events reduced 70%+, staff-to-patient response time faster, family confidence improved.

Staff safety / lone-worker duress

Problem: Healthcare staff face workplace violence — clinical units, psych and ED especially; staff must be able to summon help with location.

Tech mix: BLE-AoA or UWB duress badges, bed-level alarm raising, integration with security and unit-staff alert.

Outcome: Staff duress response time <60 sec, perceived safety improved, regulator/insurer compliance evidence.

Specimen and lab-sample tracking

Problem: Lab specimens (blood, tissue, biopsy) must be tracked from draw to result — lost specimens cause re-draws, delays and patient anxiety.

Tech mix: Passive RFID on every specimen, fixed readers at draw, transport, lab and result, EMR integration for chain-of-custody.

Outcome: Specimen loss eliminated, turn-around time reduced 20-30%, re-draw rate <0.5%.

Consignment stock & implant tracking

Problem: Consignment implants (orthopaedic, cardiac) are high-value and have expiry dates — managing them manually creates waste and OR-readiness issues.

Tech mix: Passive RFID on every implant, smart cabinet at OR consumable storage, integration with materials management and case-cart preparation.

Outcome: Consignment write-offs reduced 30-50%, OR set-readiness 99%, implant chain-of-custody for patient record.

Hospital bed and stretcher fleet management

Problem: Hospitals hold hundreds of beds and stretchers; finding a clean discharge-ready bed takes 5-20 min during peak turnover.

Tech mix: BLE-AoA on beds and stretchers, status (clean/dirty/in-use) from bedside terminals, integration with bed-management software.

Outcome: Bed turnover time reduced 30-50%, ED-to-floor wait time down, discharge throughput improved.

FAQ

Frequently asked questions

What can RTLS track in a hospital?

Mobile medical equipment such as infusion pumps, wheelchairs and beds, staff duress and safety, patient and people flow, temperature for vaccines and blood, hand-hygiene compliance, and overall asset utilisation - often on one platform.

How accurate does healthcare RTLS need to be?

It varies by use case. Room or bay level (BLE or Wi-Fi) is enough for equipment and patient flow; bed or centimetre level (UWB) suits workflow analytics and infant protection; choke-point reads (RFID) handle sterile-instrument tracking.

Is RTLS safe and compliant in clinical settings?

Yes. The low-power radio used by BLE, UWB and RFID is non-interfering with medical devices, and we design to your IT security, data-privacy (GDPR or HIPAA-equivalent) and clinical-engineering requirements from day one.

Will it integrate with our EHR, CMMS and nurse-call systems?

Yes. Location and event data feeds your EHR, biomedical CMMS, RTLS-aware nurse-call and building systems through standard interfaces, so the information lands where clinicians and engineers already work.

Do we need new Wi-Fi or cabling?

Not always. Some solutions ride your existing Wi-Fi or BLE; others need dedicated anchors. We survey first and reuse infrastructure wherever it meets the accuracy you need.

Ready to scope your programme?

30 minutes on the architecture, the numbers, and what would actually move your KPIs.

Talk to an advisor
Ready to scope it?

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