HealthcareAnonymised case study — client identity confidential.
Healthcare · Case study

Move patients faster — and stop hunting for pumps.

A hospital can’t see real-time patient flow through the ED, and clinical staff lose time every shift searching for mobile equipment. Utilisation is low, so the hospital over-buys and over-rents.

Patient flow scene
Outcomes

What the programme delivered.

30–60 min

Staff time per shift recoverable from searching.

32% → 65%

Mobile-equipment utilisation after RTLS.

10–20%

Asset loss avoidable — fewer rentals & re-buys.

Client identity withheld under confidentiality. Figures reflect outcomes from comparable RTLS/RFID deployments; your own numbers depend on use case, environment and execution.

The challenge

Clinical staff spend 30–60 minutes per shift searching for equipment; 10–20% of mobile assets go missing over their life; bottlenecks in patient flow are invisible until they bite.

Our approach

  • BLE 5.x AoA / RTLS for equipment and, where appropriate, patient-flow milestones.
  • Utilisation analytics to right-size the fleet and cut rentals.
  • Bed-turn and ED milestone visibility for flow.
  • Hand-hygiene / safety use cases as phase two.
  • Integrate with EMR and biomed CMMS.

Technology & integration

Stack deployed: BLE 5.x AoA, UWB for high-accuracy zones, RAIN RFID for supply rooms.

Integration: Epic / Cerner (Oracle Health) / Meditech, biomed CMMS, capacity systems.

Related: RTLS for hospitals · Healthcare RTLS · Hospital equipment RTLS

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