Understanding, experience and attitudes towards artificial intelligence technologies for clinical decision support in hearing health: a mixed-methods survey of healthcare professionals in the UK
Clinician acceptance influences technology adoption, but UK health professionals' attitudes towards artificial intelligence (AI) in hearing healthcare are unclear. This study aimed to address this knowledge gap. An online survey, based on the Checklist for Reporting Results of Internet E-Survey...
Saved in:
Published in | Journal of laryngology and otology p. 1 |
---|---|
Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
England
18.04.2024
|
Subjects | |
Online Access | Get more information |
Cover
Loading…
Abstract | Clinician acceptance influences technology adoption, but UK health professionals' attitudes towards artificial intelligence (AI) in hearing healthcare are unclear. This study aimed to address this knowledge gap.
An online survey, based on the Checklist for Reporting Results of Internet E-Surveys, was distributed to audiologists, ENT specialists and general practitioners. The survey collected quantitative and qualitative data on demographics and attitudes to AI in hearing healthcare.
Ninety-three participants (mean age 39 years, 56 per cent female) from three professional groups (21 audiologists, 24 ENT specialists and 48 general practitioners) responded. They acknowledged AI's benefits, emphasised the importance of the clinician-patient relationship, and stressed the need for proper training and ethical considerations to ensure successful AI integration in hearing healthcare.
This study provides valuable insights into UK healthcare professionals' attitudes towards AI in hearing health and highlights the need for further research to address specific concerns and uncertainties surrounding AI integration in hearing healthcare. |
---|---|
AbstractList | Clinician acceptance influences technology adoption, but UK health professionals' attitudes towards artificial intelligence (AI) in hearing healthcare are unclear. This study aimed to address this knowledge gap.
An online survey, based on the Checklist for Reporting Results of Internet E-Surveys, was distributed to audiologists, ENT specialists and general practitioners. The survey collected quantitative and qualitative data on demographics and attitudes to AI in hearing healthcare.
Ninety-three participants (mean age 39 years, 56 per cent female) from three professional groups (21 audiologists, 24 ENT specialists and 48 general practitioners) responded. They acknowledged AI's benefits, emphasised the importance of the clinician-patient relationship, and stressed the need for proper training and ethical considerations to ensure successful AI integration in hearing healthcare.
This study provides valuable insights into UK healthcare professionals' attitudes towards AI in hearing health and highlights the need for further research to address specific concerns and uncertainties surrounding AI integration in hearing healthcare. |
Author | Oremule, Babatunde Bruce, Iain A d'Elia, Alexander Saunders, Gabrielle H Kluk, Karolina |
Author_xml | – sequence: 1 givenname: Babatunde orcidid: 0000-0003-3908-323X surname: Oremule fullname: Oremule, Babatunde organization: Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK – sequence: 2 givenname: Gabrielle H surname: Saunders fullname: Saunders, Gabrielle H organization: Manchester Centre for Audiology and Deafness, School of Health Sciences I Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK – sequence: 3 givenname: Karolina surname: Kluk fullname: Kluk, Karolina organization: Manchester Centre for Audiology and Deafness, School of Health Sciences I Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK – sequence: 4 givenname: Alexander surname: d'Elia fullname: d'Elia, Alexander organization: Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK – sequence: 5 givenname: Iain A surname: Bruce fullname: Bruce, Iain A organization: Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38634374$$D View this record in MEDLINE/PubMed |
BookMark | eNo1kM1OwzAQhC0Eoj_wAFyQH4CA7cROyw1V_IlKHKDnamtvGqPUjmwH2tfjyUihnEY7-nZGmhE5dt4hIRecXXPGy5s3xoQQXHJRMMakZEdkyMtikslCsQEZxfjR-7xk4pQM8onKi7wshuR74QyGmMAZ69ZXFLctBotOI-0tCinZ1BmMNPkvCCZSCMlWVltoqHUJm8auf-mEuna-8Wvbw5UPVDfWWd1jBrWN1jsau7b1IfV_tEYIfd9em1TfUqAbu0WTbTDVvm-JXfjEHfXVgdAQkLbBVxj3UdDEfUqqkS5ezshJ1Rt4ftAxWTzcv8-esvnr4_Psbp5pIfOUQY45myihEFS5QqZUIRlIPS2AqaneX0aIaVVxBSo3AhgXajrh0uQSSl6KMbn8y2271QbNsg12A2G3_B9T_AAPW3up |
ContentType | Journal Article |
DBID | NPM |
DOI | 10.1017/S0022215124000550 |
DatabaseName | PubMed |
DatabaseTitle | PubMed |
DatabaseTitleList | PubMed |
Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database |
DeliveryMethod | no_fulltext_linktorsrc |
Discipline | Medicine |
EISSN | 1748-5460 |
ExternalDocumentID | 38634374 |
Genre | Journal Article |
GrantInformation_xml | – fundername: Manchester Biomedical Research Centre grantid: NIHR203308 – fundername: Research and Innovation Division, Manchester University NHS Foundation Trust grantid: G77664 |
GroupedDBID | --- -1D -E. .55 .FH 09C 09E 0E1 0R~ 123 4.4 5RE 5VS 74X 74Y 7RV 7~V AAAZR AABES AABWE AACJH AAGFV AAKTX AAMNQ AAQQT AARAB AASVR AAUIS AAUKB AAWTL ABBXD ABITZ ABJNI ABKKG ABLJU ABQTM ABROB ABVZP ABWCF ABXAU ABZCX ACBMC ACGFO ACGFS ACGOD ACIMK ACPRK ACUIJ ACYZP ACZBM ACZUX ADAZD ADBBV ADDNB ADFEC ADKIL ADVJH AEBAK AEMTW AENEX AENGE AEYHU AEYYC AFFUJ AFKQG AFLOS AFLVW AFUTZ AGABE AGJUD AHLTW AHMBA AHQXX AHRGI AIGNW AIHIV AIOIP AISIE AJ7 AJCYY AJPFC AJQAS ALIPV ALMA_UNASSIGNED_HOLDINGS ALVPG ANPSP AQJOH ARABE ATUCA AUXHV AZGZS BBLKV BENPR BGHMG BLZWO BMAJL BRIRG C0O CBIIA CCQAD CFAFE CHEAL CJCSC CS3 DOHLZ DU5 EBS F5P HCIFZ HG- HST HZ~ I.6 I.9 IH6 IOEEP IOO IS6 I~P J36 J38 J3A JHPGK JQKCU JVRFK KCGVB KFECR L7B L98 LHUNA LW7 M-V M7~ NIKVX NPM O9- P2P RCA ROL RR0 RWL RXW S6- S6U SAAAG SY4 T9M TAE TWZ UT1 UU6 WFFJZ WH7 WQ3 WXU WYP X7M ZYDXJ |
ID | FETCH-LOGICAL-c253t-a3e308626ea67be066450a5c94a069c6450d229ff16a63d2a01269815d35a7172 |
IngestDate | Fri Oct 18 09:18:20 EDT 2024 |
IsPeerReviewed | true |
IsScholarly | true |
Keywords | United Kingdom otolaryngologists Artificial intelligence audiologists attitude of health personnel general practitioners |
Language | English |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c253t-a3e308626ea67be066450a5c94a069c6450d229ff16a63d2a01269815d35a7172 |
ORCID | 0000-0003-3908-323X |
PMID | 38634374 |
ParticipantIDs | pubmed_primary_38634374 |
PublicationCentury | 2000 |
PublicationDate | 2024-04-18 |
PublicationDateYYYYMMDD | 2024-04-18 |
PublicationDate_xml | – month: 04 year: 2024 text: 2024-04-18 day: 18 |
PublicationDecade | 2020 |
PublicationPlace | England |
PublicationPlace_xml | – name: England |
PublicationTitle | Journal of laryngology and otology |
PublicationTitleAlternate | J Laryngol Otol |
PublicationYear | 2024 |
SSID | ssj0001702 |
Score | 2.4140956 |
Snippet | Clinician acceptance influences technology adoption, but UK health professionals' attitudes towards artificial intelligence (AI) in hearing healthcare are... |
SourceID | pubmed |
SourceType | Index Database |
StartPage | 1 |
Title | Understanding, experience and attitudes towards artificial intelligence technologies for clinical decision support in hearing health: a mixed-methods survey of healthcare professionals in the UK |
URI | https://www.ncbi.nlm.nih.gov/pubmed/38634374 |
hasFullText | |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwELa2IFW9IN5vNAduEJTEjpNwA1RUsWq5NFJvlZ3YaMW-1E0Q5efxc_gVjF9JdtUi4BLt2pso6_nkfDOZ-YaQl4wx1VDeRKpu6oiVQkSlZCJSOa9lpjWVttnE8Qk_qtins-xsMvk1ylrqWvmm_nFlXcn_WBXH0K6mSvYfLNtfFAfwM9oXj2hhPP6VjatxZYpZLNULFzsR1tYkAjRWxcFkx26MpNHMa0bMxmKcbYiwo-NsMw_7isnGN-F5tenWhqubAInpgm1CDK6I0tVLL2bfVRO5htQb_PHFN3UZmKhPMFuPZEA2IcGyml7Dj9Hlvlx-GSSiVu3WG4DPF2rRuVzo90KK1hTD9eEi0dmVsUF_IXFF5nM1lGFM591XXwhnWxaFcTRffuizh_vCn3FYJLXZNH4nV24rz1kRZcx1K_Dbc3LlQ8MrTdm6YEOAmCGyTg53BKL1wqKIFpwy6joL_Xl2R8c7TO2Rvbwwe_GJiSt5zpDkcRreuVtB8517OSD74fwd_8fyoNPb5JY3ELxzaLxDJmp5l-wf-xSNe-TnFihfwwBJwCHoIQkekjBAEsaQhDEkASEJAZIQIAkekngeeEiCg9tbELAFSHCAhJWGAZCwBUhzFQQkVNP7pPp4ePrhKPKNQqI6zWgbCaqodc2V4LlUyKJZFousLpmIeVmbb02allonXHDapAJZGS-LJGtoJnKk8A_IjeVqqR4R4EJzSdHtTHjJkLpLiU-9JK51rIVK4-IxeehW_3zt1GDOg12eXDvzlBwMCH1Gbmr8T-o5ctlWvrAw-A1e9KoH |
link.rule.ids | 786 |
linkProvider | National Library of Medicine |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Understanding%2C+experience+and+attitudes+towards+artificial+intelligence+technologies+for+clinical+decision+support+in+hearing+health%3A+a+mixed-methods+survey+of+healthcare+professionals+in+the+UK&rft.jtitle=Journal+of+laryngology+and+otology&rft.au=Oremule%2C+Babatunde&rft.au=Saunders%2C+Gabrielle+H&rft.au=Kluk%2C+Karolina&rft.au=d%27Elia%2C+Alexander&rft.date=2024-04-18&rft.eissn=1748-5460&rft.spage=1&rft_id=info:doi/10.1017%2FS0022215124000550&rft_id=info%3Apmid%2F38634374&rft_id=info%3Apmid%2F38634374&rft.externalDocID=38634374 |