Consiglio Nazionale delle Ricerche

Tipo di prodottoAbstract in rivista
TitoloCognitive computing for hearing healthcare: An eHealth solution for the clinical management of aged people with hearing disabilities
Anno di pubblicazione2017
FormatoCartaceo
Autore/iGabriella Tognola, Alessia Paglialonga, Alessandra Murri, Ruby Karmacharya, Francesco Pinciroli, Domenico Cuda
Affiliazioni autoriGabriella Tognola, Alessia Paglialonga, Ruby Karmacharya: CNR IEIIT - Istituto di Elettronica e di Ingegneria delle Informazioni e Telecomunicazioni, Milan, Italy; Alessandra Murri, Domenico Cuda: Ospedale "Guglielmo da Saliceto", UO Otorinolaringoiatria, Piacenza (Italy); Francesco Pinciroli: CNR IEIIT and Politecnico di Milano DEIB
Autori CNR e affiliazioni
  • FRANCESCO PINCIROLI
  • RUBY KARMACHARYA
  • GABRIELLA TOGNOLA
  • ALESSIA PAGLIALONGA
Lingua/e
  • inglese
AbstractBackground: A successful hearing rehabilitation plan for older people shall consider the technological factors (e.g. the type of HA or CI used) and also other aspects related to auditory disability, e.g., the perceived hearing difficulties in real life, the impact of subject's hearing disability on the quality of life, speech perception abilities in real environments. Many valuable clinical instruments exist to measure all the diverse aspects of hearing disability. Unfortunately, most physicians cannot make profit of this wealth of ever increasing information as it is dispersed in different medical documents. Also, about 80% of health data, e.g. that in medical notes, is invisible to systems because it is unstructured. Our work is the first attempt in the hearing healthcare domain, to design and develop an easy-to-use, multi-source clinical system for extracting and collating audiological information from the diversified documents of the patient health record. Material and methods: This first pilot evaluation of our system is done on a sample of medical records of elderly with CIs. The records included all the medical documents and test results generated during the time (including all the follow-up visits). The system applies eHealth technologies (cognitive computing) and leverages an ad hoc lexicon developed for the hearing healthcare. Results: Our system extracts textual narrative information (e.g. from the past medical history, current complaints, etiology, audiological diagnosis, risk factors, surgical procedure to implant the hearing devices) and numerical information (e.g. audiometric tests, technical setup of CIs, questionnaires scores, etc.). The system analyses medical notes written in plain language, understands which information is critical to the treatment pathway, and puts the extracted information into the proper textual and temporal contexts. The extracted information is then made available through a central platform to be analyzed in a tuned approach by the clinician. All these processes are directly performed on the original medical documents, as they are generated by the clinician using plain language. Conclusions: The proposed system provides clinicians with a multi-source and multi-dimensional view of patient's hearing disability. It helps clinicians to improve the ongoing treatment of chronic conditions and the proactive and preventive interventions. Grant: PNRCNR Aging Program 2012-18.
Pagine da39
Pagine a40
Pagine totali-
RivistaJournal of Hearing Science (Print)
Attiva dal 2011
Editore: Institute of Sensory Organs - Kajetany
Paese di pubblicazione: Polonia
Lingua: inglese
ISSN: 2083-389X
Titolo chiave: Journal of Hearing Science (Print)
Titolo proprio: Journal of Hearing Science. (Print)
Titolo abbreviato: J. Hear. Sci. (Print)
Numero volume della rivista7
Fascicolo della rivista2
DOI-
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)-
Parole chiavecognitive computing, hearing loss, aging
Link (URL, URI)-
Titolo parallelo-
Data di accettazione-
Note/Altre informazioniAbstract del contributo scientifico presentato al "13th Congress of the European Federation of Audiology Societies (EFAS)", 7-10 giugno 2017, Interlaken (Svizzera)
Strutture CNR
  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
Moduli CNR-
Progetti Europei-
Allegati