Hospital patient flow — live bed state and ED throughput.
Hospital patient flow is the highest-leverage healthcare RTLS use case after equipment locating. Real-time bed state, ED wait visibility, length-of-stay analytics — all backed by BLE-AoA tags on patients and beds, integrated with the EMR.
The clinical workflow.
Live bed state across wards — clean, dirty, occupied, awaiting transfer. Currently tracked manually with whiteboards or duplicated data entry; RTLS automates.
ED throughput — patient location from triage through assessment, treatment, observation and disposition. Length-of-stay analytics drive operational improvement.
Transfer coordination — bed managers see live availability across wards, drive admission throughput, reduce ED boarding.
Discharge optimisation — live visibility on patients ready for discharge accelerates bed turn.
Technology recommendations.
BLE-AoA badges for patient location at room-level. Sub-metre accuracy not needed; ward-zone is sufficient.
Bed-tagged BLE for live bed state. Tag accelerometer detects bed move events.
UWB in specific high-precision zones (interventional radiology, theatres) where sub-metre location matters.
Workflow events from Epic / Cerner feed the location stream — admission, transfer, discharge events combined with location data give true flow visibility.
Integration is the deciding cost.
Epic integration — well-trodden via Epic Beacon and Hyperspace; the location field updates in EMR and clinical workflow consumes it.
Cerner / Oracle Health — HL7 / FHIR integration; longer scoping but stable in production.
Meditech / AllScripts — per-platform; integration is the deciding cost line in many programmes.
Bed-management software — TeleTracking, Epic Bed Management, in-house. The bed state feed is the highest-utility integration point.
What ROI looks like.
ED throughput improvement of 10–15% on the operational measure most US hospitals track.
Bed turn-time reduction of 30–90 minutes per bed per turn.
Length-of-stay analytics that surface specific bottleneck workflows — typically a 0.3–0.7-day reduction at the population level over 12–18 months of operational improvement work.
The ROI case is driven by throughput rather than direct labour savings — the budget line is hospital capacity, not nurse time.
Frequently asked questions
Do patients have to wear badges?
Yes, for the location data to be useful. Badge design is critical — comfortable, discreet, clinical-grade. Hospitals that do this well make the badge feel like part of admission rather than a tracking device.
What about privacy and consent?
Location-tracking for clinical workflow is well-established under HIPAA / GDPR in healthcare. The badge is for clinical workflow not surveillance; consent is part of admission; data is held within the EMR security model.
How does this integrate with Epic / Cerner?
Via the EMR’s location-service API. Location data updates the patient record; bed state feeds Bed Management; workflow events combined with location give the throughput analytics.
What is typical implementation timeline?
9–18 months for a 600-bed hospital. ED first (highest-leverage), then wards in sequence. Validation and clinical adoption usually slower than physical install.
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