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Innovation in Urgent CareDr Paul Webster

30th November 2016

Confidential & Proprietary 2©2016 Ubisense

What is a Real-Time Location System?

• 3D accuracy: 15cm (95% confidence level) • Max. tag-sensor range: 160m / Varies according to antenna options for D4• Tag update rate: S7K/S9K: Variable; 10 updates/sec to 1 update/hour

(Each cell can support ~40 update slots/sec)

D4: Variable; 150 updates/sec to 1 update/hour(Each cell can support hundreds/thousands of updates/s)

• Tag battery lifetime: Up to 5 years (10 years+ for D4)• Certifications: US FCC, Industry Canada, EU CE, Singapore iDA,

China CMIIT, Korea KCC, Japan; ATEX and HAZLOC

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Visualisation and Communication Improvements…

“Contactable”

Space is

AvailableClinician is

Busy

Space is Occupied /

Patient is Waiting

Attention

Required(e.g. Cleaning)

Patient has not

been checked

for a while…

!

Choose most appropriate contact method, based on their context…

Send a text message / page Send a memo to their “wall” Initiate a call when both available

Find another member of that person’s team, sorted based on their proximity and colour coded based on their status…

Can search for clinicians, patients or

assets, with the map zooming-in to

show the location of the item and the

context it is currently found within…

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Programming with Location…

A real-time location driven virtual model of the whole care process.

Any person, asset or location can be monitored to record relevant

interactions between all of those actors, for example:

• Ambulance AE32 has arrived in Bay-3

• Doctor A.Gupta is examining patient R.Reynolds

• Patient S.Harting has arrived in X-Ray 1

• Waiting Area 1 occupancy has increased to 55

Zones and “interactions” are defined in software and can be updated

at any time through configuration…

EXAMPLE: PATIENT AND BED INTERACTION EXAMPLE: DOCTOR AND PATIENT INTERACTION

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Historical Reporting and Prediction…

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Ubisense Cloud-Based Software Platform…

Ha

rdw

are

&

De

vic

es

Enterprise

Systems

En

terp

rise

Lo

ca

tio

n

Pla

tfo

rm

“Sm

art

Sp

ace

”

Ap

plica

tio

ns

Process

Modelling

Location

Management

Data

ModellingConfiguration

Visualisation

& Reporting

Event

Management

Devices

RTLS

Sys

tem

Inte

gra

tion

Mo

du

les

Smart

Health

Smart

Factory

Smart

Transit

Smart

Logistics HL7

XML

SOAP

HTTP

TCP/IP

Internetof

ThingsSensor Data

+ Context

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A Holistic Approach to A&E Flow Management…

Fall Prediction and Prevention

Productivity Improvements

HomeMonitoring

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Fractal-D for Cognitive Monitoring and Fall Prevention…

Kearns, W. D., Fozard, J. L., Becker, M., Jasiewicz, J. M., Craighead, J. D., Holtsclaw, L., Dion, C. (2012). “Path Tortuosity in Everyday Movements of Elderly Persons Increases Fall Prediction Beyond Knowledge of Fall History, Medication Use, and Standardized Gait and Balance Assessments”. Journal of the American Medical Directors Association.

1.62

1.24

Confidential & Proprietary 9©2016 Ubisense

Enhancing Telemedicine and Remote Monitoring…

• Have they left the house recently?

• Have they got out of bed today?

• Are they eating and drinking?

• Have they used the bathroom more than

usual?

• Has their activity level changed?

• Has their Fractal-D deteriorated?

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Thank you foryour attention!

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Sharing Best Practice Conference 30 November 2016

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