Examining the effectiveness of artificial intelligence applications in asthma and COPD outpatient support in terms of patient health and public cost: SWOT analysis

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dc.authorid0000-0002-9606-6834en_US
dc.authorid0000-0003-2568-3015en_US
dc.contributor.authorAkduman, Seha
dc.contributor.authorYılmaz, Kadir
dc.date.accessioned2024-07-29T09:08:27Z
dc.date.available2024-07-29T09:08:27Z
dc.date.issued2024en_US
dc.departmentEnstitüler, Sosyal Bilimler Enstitüsü, Sanayi Politikaları ve Teknoloji Yönetimi Ana Bilim Dalıen_US
dc.description.abstractThis research aimed to examine the effectiveness of artificial intelligence applications in asthma and chronic obstructive pulmonary disease (COPD) outpatient treatment support in terms of patient health and public costs. The data obtained in the research using semiotic analysis, content analysis and trend analysis methods were analyzed with strengths, weakness, opportunities, threats (SWOT) analysis. In this context, 18 studies related to asthma, COPD and artificial intelligence were evaluated. The strengths of artificial intelligence applications in asthma and COPD outpatient treatment stand out as early diagnosis, access to more patients and reduced costs. The points that stand out among the weaknesses are the acceptance and use of technology and vulnerabilities related to artificial intelligence. Opportunities arise in developing differential diagnoses of asthma and COPD and in examining prognoses for the diseases more effectively. Malicious use, commercial data leaks and data security issues stand out among the threats. Although artificial intelligence applications provide great convenience in the outpatient treatment process for asthma and COPD diseases, precautions must be taken on a global scale and with the participation of international organizations against weaknesses and threats. In addition, there is an urgent need for accreditation for the practices to be carried out in this regard.en_US
dc.identifier.doi10.1097/MD.0000000000038998en_US
dc.identifier.issue29en_US
dc.identifier.pmid39029048en_US
dc.identifier.scopus2-s2.0-85199172493en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpagee38998en_US
dc.identifier.urihttps://hdl.handle.net/11467/7382
dc.identifier.urihttps://doi.org/10.1097/MD.0000000000038998
dc.identifier.volume103en_US
dc.identifier.wosWOS:001272852400015en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherLippincott Williams and Wilkinsen_US
dc.relation.ispartofMedicine (United States)en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectartificial intelligence, asthma, COPD, outpatient treatmenten_US
dc.titleExamining the effectiveness of artificial intelligence applications in asthma and COPD outpatient support in terms of patient health and public cost: SWOT analysisen_US
dc.typeArticleen_US

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