We describe an innovative case study focusing on a social robot able to help healthcare professionals compute criticality scores for patients hosted in a Geriatric Sub-Intensive Care Unit. The aim is to establish the feasibility of a scenario in which the robot modulates the frequency of its visits to the room of bedridden patients, based on the criticality scores it has computed.

Adoption of a Social Robot in a Sub Intensive Care Unit for the Autonomous Computation of Criticality Scores / Piccininno, Giovanni; Laurieri, Nicola; Anselmo, Alessandro; Russo, Sergio; Sorrentino, Alessandra; Sancarlo, Daniele; D'Onofrio, Grazia; Lorusso, Letizia; Fiorini, Laura; Cavallo, Filippo; Greco, Antonio; Giuliani, Francesco. - ELETTRONICO. - 24:(2024), pp. 0-0. (Intervento presentato al convegno XXXV EUROSENSORS Conference tenutosi a Lecce nel 10–13 September 2023) [10.3390/proceedings2024097006].

Adoption of a Social Robot in a Sub Intensive Care Unit for the Autonomous Computation of Criticality Scores

Sorrentino, Alessandra;Fiorini, Laura;Cavallo, Filippo;
2024

Abstract

We describe an innovative case study focusing on a social robot able to help healthcare professionals compute criticality scores for patients hosted in a Geriatric Sub-Intensive Care Unit. The aim is to establish the feasibility of a scenario in which the robot modulates the frequency of its visits to the room of bedridden patients, based on the criticality scores it has computed.
2024
Proceedings
XXXV EUROSENSORS Conference
Lecce
10–13 September 2023
Piccininno, Giovanni; Laurieri, Nicola; Anselmo, Alessandro; Russo, Sergio; Sorrentino, Alessandra; Sancarlo, Daniele; D'Onofrio, Grazia; Lorusso, Let...espandi
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1386315
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