The objective of this work is the design of atechnological platform for remote monitoring of patients withChronic Obstructive Pulmonary Disease (COPD). The concept ofthe framework is a breakthrough in the state of medical,scientific and technological art, aimed at engaging patients in thetreatment plan and supporting interaction with healthcareprofessionals. The proposed platform is able to support a newparadigm for the management of patients with COPD, byintegrating clinical data and parameters monitored in daily lifeusing Artificial Intelligence algorithms. Therefore, the doctor isprovided with a dynamic picture of the disease and its impact onlifestyle and vice versa, and can thus plan more personalizeddiagnostics, therapeutics, and social interventions. This strategyallows for a more effective organization of access to outpatientcare and therefore a reduction of emergencies andhospitalizations because exacerbations of the disease can bebetter prevented and monitored. Hence, it can result inimprovements in patients' quality of life and lower costs for thehealthcare system.

Challenges and Opportunities of IoT and AI in Pneumology

M Mongelli;V Orani;E Cambiaso;I Vaccari;A Paglialonga;CE Catalano
2020

Abstract

The objective of this work is the design of atechnological platform for remote monitoring of patients withChronic Obstructive Pulmonary Disease (COPD). The concept ofthe framework is a breakthrough in the state of medical,scientific and technological art, aimed at engaging patients in thetreatment plan and supporting interaction with healthcareprofessionals. The proposed platform is able to support a newparadigm for the management of patients with COPD, byintegrating clinical data and parameters monitored in daily lifeusing Artificial Intelligence algorithms. Therefore, the doctor isprovided with a dynamic picture of the disease and its impact onlifestyle and vice versa, and can thus plan more personalizeddiagnostics, therapeutics, and social interventions. This strategyallows for a more effective organization of access to outpatientcare and therefore a reduction of emergencies andhospitalizations because exacerbations of the disease can bebetter prevented and monitored. Hence, it can result inimprovements in patients' quality of life and lower costs for thehealthcare system.
2020
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI - Sede Secondaria Genova
978-1-7281-9535-3
Internet of Things
healthcare
machine learning
intelligible analytics
statistical validation
cyber-security
File in questo prodotto:
File Dimensione Formato  
prod_433531-doc_154797.pdf

solo utenti autorizzati

Descrizione: Challenges and Opportunities of IoT and AI in Pneumology
Tipologia: Versione Editoriale (PDF)
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 343.72 kB
Formato Adobe PDF
343.72 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
prod_433531-doc_154798.pdf

accesso aperto

Descrizione: Proceedings Euromicro Conference on Digital System Design DSD 2020
Tipologia: Altro materiale allegato
Licenza: Altro tipo di licenza
Dimensione 375.32 kB
Formato Adobe PDF
375.32 kB Adobe PDF Visualizza/Apri
PNEULYTICS_DSD2020_postprint.pdf

Open Access dal 09/10/2022

Descrizione: Challenges and Opportunities of IoT and AI in Pneumology
Tipologia: Documento in Post-print
Licenza: Altro tipo di licenza
Dimensione 884.21 kB
Formato Adobe PDF
884.21 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/382109
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? 3
social impact