Pervasive Tracking for Time-Dependent Acute Patient Flow: A Case Study in Trauma Management


Sara Montagna, Angelo Croatti, Alessandro Ricci, Vanni Agnoletti, Vittorio Albarello

2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), pages 237-240
IEEE
June 2019

The problem of tracking has gained a central role in healthcare research since it enables the acquisition of the information needed for improving healthcare management and efficiency, alongside patient safety. In literature, it is mainly discussed as an allocation problem that must deal with limited resources (rooms, physicians, equipment) to optimise workflows, and Real-Time Location Systems have been introduced with the main goal of locating and identifying  assets and personnel in a healthcare facility. In this paper, we propose a novel perspective of pervasive tracking into Hospital 4.0, devised explicitly for time-dependent acute patient flow. The goal is to develop a tracking system that acquires not only the time and location of entities, exploiting state-of-the-art techniques, but also the main clinical events occurred. As an example application we describe TraumaTracker, a system developed to support the accurate and complete documentation of trauma resuscitation processes from pre-hospital care.

(keywords) Hospitals;Pathology;Real-time systems;Tracking;Radiofrequency identification;Real time location system;Pervasive Tracking;Trauma Management

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  • 32nd IEEE CBMS International Symposium on Computer-Based Medical Systems (CBMS 2019) — 05/06/2019–07/06/2019

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Publication

— authors

Sara Montagna, Angelo Croatti, Alessandro Ricci, Vanni Agnoletti, Vittorio Albarello

— status

published

— sort

paper in proceedings

— publication date

June 2019

— volume

2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)

— pages

237-240

— venue

Cordoba, Spain

URLs

original page  |  original PDF

identifiers

— DOI

10.1109/CBMS.2019.00057

— DBLP

conf/cbms/MontagnaCRAA19

— IEEE

8787462

— IRIS

11585/694876

— Scopus

2-s2.0-85070984457

— WoS / ISI

000502356600048

— print ISSN

2372-9198

— print ISBN

978-1-7281-2286-1

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