{"id":13745,"date":"2021-12-18T18:28:16","date_gmt":"2021-12-18T16:28:16","guid":{"rendered":"https:\/\/ticsalutsocial.atoom.space\/noticia\/un-nou-sistema-augmenta-lefectivitat-en-el-diagnostic-de-la-disfagia\/"},"modified":"2021-12-18T18:28:16","modified_gmt":"2021-12-18T16:28:16","slug":"un-nou-sistema-augmenta-lefectivitat-en-el-diagnostic-de-la-disfagia","status":"publish","type":"noticia","link":"https:\/\/ticsalutsocial.atoom.space\/es\/noticia\/un-nou-sistema-augmenta-lefectivitat-en-el-diagnostic-de-la-disfagia\/","title":{"rendered":"Un nou sistema augmenta l’efectivitat en el diagn\u00f2stic de la disf\u00e0gia"},"content":{"rendered":"\n

La intel\u00b7lig\u00e8ncia artificial promet reduir els costos contra la disf\u00e0gia i fer tractaments m\u00e9s eficients<\/h2>\n\n\n\n

Es desenvolupa un nou sistema autom\u00e0tic basat en IA i machine learning que augmenta del 20% al 85% l\u2019efectivitat en el diagn\u00f2stic de la disf\u00e0gia. <\/h2>\n\n\n\n

La disf\u00e0gia orofar\u00edngia (DO), o dificultat per deglutir, s’observa habitualment en persones adultes d\u2019edat avan\u00e7ada. La malaltia provoca desnutrici\u00f3, deshidrataci\u00f3 i pneum\u00f2nia per aspiraci\u00f3 que \u2013en casos greus- pot esdevenir mortal. Amb freq\u00fc\u00e8ncia, la DO no es reconeix com la causa principal d’aquestes complicacions perqu\u00e8 no existeix un cribratge sistematitzat que permeti el seu diagn\u00f2stic.  El tractament nom\u00e9s \u00e9s viable amb intervencions m\u00ednimes, com l’adaptaci\u00f3 de l\u00edquids i textures, l’aportaci\u00f3 complement\u00e0ria nutricional i la higiene bucodental.<\/p>\n\n\n\n

S\u2019estima que menys del 20% de casos en pacients hospitalitzats s\u00f3n diagnosticats, tractats i corregits. Els sistemes actuals per identificar la disf\u00e0gia es basa en q\u00fcestionaris i entrevistes, a m\u00e9s de ser efectiu \u00fanicament en el 55% dels casos. A Europa, s\u2019estima que pateixen aquesta dificultat per deglutir uns 30 milions de persones.<\/p>\n\n\n\n

Possibilitat de diagn\u00f2stic m\u00e9s eficient<\/strong><\/p>\n\n\n\n

L\u2019infermer investigador Alberto Mart\u00edn<\/a>, de l\u2019Hospital de Matar\u00f3 \u2013en col\u00b7laboraci\u00f3 amb el director d\u2019investigaci\u00f3 i innovaci\u00f3 del Consorci Sanitari del maresme<\/a> (CSdM) Pere Clav\u00e9 \u2013 <\/a>ha desenvolupat un sistema de cribratge per predir el risc de patir DO dels pacients hospitalitzats. L\u2019Artificial Intelligence Massive-Screening for Oropharyngeal Dysphagia (AIMS-DO) \u00e9s un programari patentat per a realitzar un diagn\u00f2stic autom\u00e0tic, \u00e9s a dir, sense necessitat d\u2019intervenci\u00f3 per part del personal infermer o m\u00e8dic.<\/p>\n\n\n\n

Implementar en altres hospitals<\/strong><\/p>\n\n\n\n

Actualment, l\u2019AIMS-OD es troba en fase pilot a l\u2019Hospital de Matar\u00f3 on s\u2019analitzen els registres que es van realitzar entre el 2013 i 2017, amb dades anonimitzades i encriptades de m\u00e9s de 5.000 pacients. El sistema ha demostrat un encert del 85% a partir de l\u2019an\u00e0lisi de les m\u00e9s de 17.000 variables que poden influir en el risc de patir-la.<\/p>\n\n\n\n

Una altre avantatge \u00e9s que el sistema pot realitzar el mateix nombre de cribratges en vuit segons que el que es faria en 42 hores amb els sistemes tradicionals. L\u2019algoritme s\u2019ha perfeccionat en els darrers tres anys a partir de l\u2019experi\u00e8ncia en investigaci\u00f3 sobre la DO. L’Hospital de Matar\u00f3 ha realitzat estudis on es descriuen factors de risc, variables normalitzades i informaci\u00f3 sobre els f\u00e0rmacs.<\/p>\n\n\n\n

\"\"
(Foto: d’esquerra a dreta Pere Clav\u00e9  i Alberto Martin, recollint el premi Creatic).<\/figcaption><\/figure><\/div>\n\n\n\n

El sistema s\u2019emmarca dins del projecte PECT \u201cMatar\u00f3-Maresme: ecosistema d\u2019innovaci\u00f3 per a les ciutats cuidadores\u201d<\/a>, finan\u00e7at a trav\u00e9s dels Fons de Desenvolupament Regional de la Uni\u00f3 Europea (FEDER)<\/a>. Conta tamb\u00e9 amb el suport de CaixaImpulse<\/a> i el del centre universitari de Matar\u00f3 Tecnocampus, que ha atorgat el seu premi Creatic<\/a> dotat amb 12.000 \u20ac. Aquest ha estat acollit dins del programa StartHealth,<\/a> que proporciona assessorament expert per al llan\u00e7ament de noves start-ups dins el sector salut. Segons Clav\u00e9, l\u2019objectiu \u00e9s poder implementar el sistema intel\u00b7ligent en tots els hospitals d\u2019Europa.<\/p>\n","protected":false},"author":3,"featured_media":10162,"menu_order":0,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false},"etiqueta":[],"tipus":[],"topic":[19],"class_list":["post-13745","noticia","type-noticia","status-publish","has-post-thumbnail","hentry","topic-innovacio"],"acf":{"autor":"TIC Salut Social","textos_destacats":false},"yoast_head":"\nUn nou sistema augmenta l'efectivitat en el diagn\u00f2stic de la disf\u00e0gia - Fundaci\u00f3 TIC Salut i Social<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ticsalutsocial.atoom.space\/es\/noticia\/un-nou-sistema-augmenta-lefectivitat-en-el-diagnostic-de-la-disfagia\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Un nou sistema augmenta l'efectivitat en el diagn\u00f2stic de la disf\u00e0gia - Fundaci\u00f3 TIC Salut i Social\" \/>\n<meta property=\"og:description\" content=\"La intel\u00b7lig\u00e8ncia artificial promet reduir els costos contra la disf\u00e0gia i fer tractaments m\u00e9s eficients Es desenvolupa un nou sistema autom\u00e0tic basat en IA i machine learning que augmenta del 20% al 85% l\u2019efectivitat en el diagn\u00f2stic de la disf\u00e0gia. 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