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IRIS
: The traditional healthcare model is focused on diseases (medicine and natural science) and does not acknowledge patients' resources and abilities to be experts in their own lives based on their lived experiences. Improving healthcare safety, quality, and coordination, as well as quality of life, is an important aim in the care of patients with chronic conditions. Person-centered care needs to ensure that people's values and preferences guide clinical decisions. This paper reviews current knowledge to develop (1) digital care pathways for rhinitis and asthma multimorbidity and (2) digitally enabled, person-centered care.1 It combines all relevant research evidence, including the so-called real-world evidence, with the ultimate goal to develop digitally enabled, patient-centered care. The paper includes (1) Allergic Rhinitis and its Impact on Asthma (ARIA), a 2-decade journey, (2) Grading of Recommendations, Assessment, Development and Evaluation (GRADE), the evidence-based model of guidelines in airway diseases, (3) mHealth impact on airway diseases, (4) From guidelines to digital care pathways, (5) Embedding Planetary Health, (6) Novel classification of rhinitis and asthma, (7) Embedding real-life data with population-based studies, (8) The ARIA-EAACI (European Academy of Allergy and Clinical Immunology) strategy for the management of airway diseases using digital biomarkers, (9) Artificial intelligence, (10) The development of digitally enabled, ARIA person-centered care, and (11) The political agenda. The ultimate goal is to propose ARIA 2024 guidelines centered around the patient to make them more applicable and sustainable.
Concepts for the Development of Person-Centered, Digitally Enabled, Artificial Intelligence–Assisted ARIA Care Pathways (ARIA 2024)
Bousquet, Jean;Schünemann, Holger J.;Sousa-Pinto, Bernardo;Zuberbier, Torsten;Togias, Alkis;Samolinski, Boleslaw;Bedbrook, Anna;Czarlewski, Wienczyslawa;Hofmann-Apitius, Martin;Litynska, Justyna;Vieira, Rafael José;Anto, Josep M.;Fonseca, Joao A.;Brozek, Jan;Bognanni, Antonio;Brussino, Luisa;Canonica, G. Walter;Cherrez-Ojeda, Ivan;Cruz, Alvaro A.;Vecillas, Leticia de las;Dykewicz, Mark;Gemicioglu, Bilun;Giovannini, Mattia;Haahtela, Tari;Jacobs, Marc;Jacomelli, Cristina;Klimek, Ludger;Kvedariene, Violeta;Larenas-Linnemann, Desiree E.;Louis, Gilles;Lourenço, Olga;Leemann, Lucas;Morais-Almeida, Mario;Neves, Ana Luisa;Nadeau, Kari C.;Nowak, Artur;Palamarchuk, Yuliia;Palkonen, Susanna;Papadopoulos, Nikolaos G.;Parmelli, Elena;Pereira, Ana Margarida;Pfaar, Oliver;Regateiro, Frederico S.;Savouré, Marine;Taborda-Barata, Luis;Toppila-Salmi, Sanna K.;Torres, Maria J.;Valiulis, Arunas;Ventura, Maria Teresa;Williams, Sian;Yepes-Nuñez, Juan J.;Yorgancioglu, Arzu;Zhang, Luo;Zuberbier, Jaron;Abdul Latiff, Amir Hamzah;Abdullah, Baharudin;Agache, Ioana;Al-Ahmad, Mona;Al-Nesf, Maryam Ali;Al Shaikh, Nada A.;Amaral, Rita;Ansotegui, Ignacio J.;Asllani, Julijana;Balotro-Torres, Maria Cristina;Bergmann, Karl-Christian;Bernstein, Jonathan A.;Bindslev-Jensen, Carsten;Blaiss, Michael S.;Bonaglia, Cristina;Bonini, Matteo;Bossé, Isabelle;Braido, Fulvio;Caballero-Fonseca, Fernan;Camargos, Paulo;Carreiro-Martins, Pedro;Casale, Thomas;Castillo-Vizuete, José-Antonio;Cecchi, Lorenzo;Teixeira, Maria do Ceu;Chang, Yoon-Seok;Loureiro, Claudia Chaves;Christoff, George;Ciprandi, Giorgio;Cirule, Ieva;Correia-de-Sousa, Jaime;Costa, Elisio M.;Cvetkovski, Biljana;de Vries, Govert;Del Giacco, Stefano;Devillier, Philippe;Dokic, Dejan;Douagui, Habib;Durham, Stephen R.;Enecilla, Maria Lourdes;Fiocchi, Alessandro;Fokkens, Wytske J.;Fontaine, Jean-François;Gawlik, Radoslaw;Gereda, Jose E.;Gil-Mata, Sara;Giuliano, Antonio F. M.;Gotua, Maia;Gradauskiene, Brigita;Guzman, Maria Antonieta;Hossny, Elham;Hrubiško, Martin;Iinuma, Tomohisa;Irani, Carla;Ispayeva, Zhanat;Ivancevich, Juan Carlos;Jartti, Tuomas;Jeseňák, Miloš;Julge, Kaja;Jutel, Marek;Kaidashev, Igor;Bennoor, Kazi S.;Khaltaev, Nicolai;Kirenga, Bruce;Kraxner, Helga;Kull, Inger;Kulus, Marek;Kuna, Piotr;Kupczyk, Maciej;Kurchenko, Andriy;La Grutta, Stefania;Lane, Stephen;Miculinic, Neven;Lee, Sang Min;Le Thi Tuyet, Lan;Lkhagvaa, Battur;Louis, Renaud;Mahboub, Bassam;Makela, Mika;Makris, Michael;Maurer, Marcus;Melén, Eric;Milenkovic, Branislava;Mohammad, Yousser;Moniuszko, Marcin;Montefort, Stephen;Moreira, Andre;Moreno, Pablo;Mullol, Joaquim;Nadif, Rachel;Nakonechna, Alla;Navarro-Locsin, Cecilia Gretchen;Neffen, Hugo E.;Nekam, Kristof;Niedoszytko, Marek;Nunes, Elizabete;Nyembue, Dieudonné;O'Hehir, Robyn;Ollert, Markus;Ohta, Ken;Okamoto, Yoshitaka;Okubo, Kimihiro;Olze, Heidi;Padukudru, Mahesh Anand;Palomares, Oscar;Pali-Schöll, Isabella;Panzner, Petr;Palosuo, Kati;Park, Hae S.;Passalacqua, Giovanni;Patella, Vincenzo;Pawankar, Ruby;Pétré, Benoît;Pitsios, Constantinos;Plavec, Davor;Popov, Todor A.;Puggioni, Francesca;Quirce, Santiago;Raciborski, Filip;Ramonaité, Agné;Recto, Marysia;Repka-Ramirez, Susana;Roberts, Graham;Robles-Velasco, Karla;Roche, Nicolas;Rodriguez-Gonzalez, Monica;Romualdez, Joel A.;Rottem, Menachem;Rouadi, Philip W.;Salapatas, Marianella;Sastre, Joaquin;Serpa, Faradiba S.;Sayah, Zineb;Scichilone, Nicola;Senna, Gianenrico;Sisul, Juan Carlos;Solé, Dirceu;Soto-Martinez, Manuel E.;Sova, Milan;Sozinova, Olga;Stevanovic, Katarina;Ulrik, Charlotte Suppli;Szylling, Anna;Tan, Frances M.;Tantilipikorn, Pongsakorn;Todo-Bom, Ana;Tomic-Spiric, Vesna;Tsaryk, Vladyslav;Tsiligianni, Ioanna;Urrutia-Pereira, Marilyn;Rostan, Marylin Valentin;Sofiev, Mikhail;Valovirta, Erkka;Van Eerd, Michiel;Van Ganse, Eric;Vasankari, Tuula;Vichyanond, Pakit;Viegi, Giovanni;Wallace, Dana;Wang, De Yun;Waserman, Susan;Wong, Gary;Worm, Margitta;Yusuf, Osman M.;Zaitoun, Fares;Zidarn, Mihaela
2024-01-01
Abstract
: The traditional healthcare model is focused on diseases (medicine and natural science) and does not acknowledge patients' resources and abilities to be experts in their own lives based on their lived experiences. Improving healthcare safety, quality, and coordination, as well as quality of life, is an important aim in the care of patients with chronic conditions. Person-centered care needs to ensure that people's values and preferences guide clinical decisions. This paper reviews current knowledge to develop (1) digital care pathways for rhinitis and asthma multimorbidity and (2) digitally enabled, person-centered care.1 It combines all relevant research evidence, including the so-called real-world evidence, with the ultimate goal to develop digitally enabled, patient-centered care. The paper includes (1) Allergic Rhinitis and its Impact on Asthma (ARIA), a 2-decade journey, (2) Grading of Recommendations, Assessment, Development and Evaluation (GRADE), the evidence-based model of guidelines in airway diseases, (3) mHealth impact on airway diseases, (4) From guidelines to digital care pathways, (5) Embedding Planetary Health, (6) Novel classification of rhinitis and asthma, (7) Embedding real-life data with population-based studies, (8) The ARIA-EAACI (European Academy of Allergy and Clinical Immunology) strategy for the management of airway diseases using digital biomarkers, (9) Artificial intelligence, (10) The development of digitally enabled, ARIA person-centered care, and (11) The political agenda. The ultimate goal is to propose ARIA 2024 guidelines centered around the patient to make them more applicable and sustainable.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1213815
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.