Beds are one the most important assets in a hospital. Lack of beds in A&E means incoming patients cannot be treated in time.
X-Tracking™ is a real-time tracking solution enabling full visibility on the location of each bed and its status. Finding available beds is easier, beds are circulated faster and cleaning of beds is ensured
– Lack of beds in A&E and bed wards
– Spending too much time searching for special beds
– Lack of overview of beds in circulation
– Beds are not available on time, need to stock beds in corridors
– Uncertain whether beds have been cleaned
X-Tracking™ supports tracking of beds with different configurations of hardware and software components and tracking technologies.
Bed tracking solutions are based on four main components:
– The X-Tracking front-end application
– Backend engine and integration layer
– Tag reader
X-Tracking™ is the real-time frontend tracking solution capable of tracking beds through workflow and logistic processes. The X-Tracking frontend shows tracking information for beds to hospital staff, provides search features and features to change status of beds and create events.
The X-Tracking frontend consists of the following applications: X-Tracking Web Application, X-Tracking HHT Android App, X-Tracking MDCC Windows App.
In X-Tracking™ hospital staff can easily search for beds by just typing part of a name and location. Staff can search across all types of beds, names, status, and locations in X-Tracking™. The search result contains last seen location, name, status, type and any highlighted notifications.
In X-Tracking™ staff can also drill down through both locations, types, and status in a real-time interactive overview screen as shown below.
Beds are tagged with hardcase passive RFID tags that can endure the washing and cleaning process for beds. One RFID tag is mounted on each bed in a position, where it can be easily read by ceiling mounted RFID antennas and RFID Handheld Terminals. The RFID tag is programmed with a GIAI code and displays a GIAI barcode and human readable text. Logo and contact information can also be added.
The RFID tag is read by RFID antennas installed at logistic choke points throughout the hospital. At each choke point, the bed automatically changes location in X-Tracking when passing through the choke point. If configured in X-Tracking, the bed also automatically changes status, e.g. a bed leaving the bed cleaning facility changes status to ‘Available’ and an event is created for the bed.
Beds are also tagged with Wirepas/BLE tags to enable real-time positioning of beds throughout the hospital. The Wirepas tag sends a signal at a high rate when the bed is moving and at a lower rate, when the bed is not moving. The Wirepas tag is read by a mesh network of Wirepas nodes, which is installed in a grid pattern throughout the hospital. In the backend tracking engine, tag positions are converted to locations e.g. bed ward, which is shown in the X-Tracking applications.
The RFID tags mounted on beds are read by xReaders installed in logistic choke points and by RFID Handheld Terminals carried by staff. The barcode on RFID tags can be scanned by the RFID Handheld Terminal.
xReaders are UHF RFID readers with ceiling mounted RFID antennas that are installed at both sides of a logistic choke point such as entries to bed depots, departments, and bed service facilities in the hospital. xReaders automatically read and track beds passing through choke points. Reading distance in a choke point is reduced to 3-4 meters and timing is within 1-2 seconds.
RFID Handheld Terminals are used by company staff to manually register a bed in a location and change the status of a bed e.g. checking a bed out of a depot.
The Wirepas tags mounted on beds are read by Wirepas anchors installed in a grid pattern. Wirepas backend software calculates the positions of Wirepas tags with an accuracy down to 3-5 meters. In areas where higher accuracy of 1-2 meters is needed, more Wirepas anchors can be installed.
Lyngsoe LIVE Logistics manages and handles data consolidation of tag readings from all beds, processing of RTLS data captured from barcodes, RFID tags and Wirepas tags on beds. It transforms tag positions into GLN locations and handles location management, location mapping, and location master data. Lyngsoe LIVE Logistics aligns various tag identifiers to a unique GS1 GIAI for each bed.
Lyngsoe LIVE Logistics manages a trace database and provides validated tracking information for beds through a standard EPCIS interface to frontend applications, asset management systems or ERP systems. Master data for beds are imported from asset management systems to X-Tracking through EPCIS or a bespoke data interface.
VALUE PROPOSITIONS – SOLUTION THEME
On top of this automated monitoring & tracking of beds, tracking information can be used for reporting and analysis of the bed cleaning facility’s processes. This allows healthcare executives and senior management to react quickly to — as well as prevent — obstacles related to items such as:
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