Carmen Quesada-Puga, Francisco José Izquierdo-Espin, María José Membrive-Jiménez, Raimundo Aguayo-Estremera, Guillermo A Cañadas-De La Fuente, José Luis Romero-Béjar, José Luis Gómez-Urquiza
Job satisfaction and burnout syndrome among intensive-care unit nurses: A systematic review and meta-analysis
Intensive & critical care nursing
neovascular agerelated macular degeneration namd management one largest singledisease contributors hospital outpatient appointments partial automation namd treatment decisions could reduce demands clinician time established artificial intelligence aienabled retinal imaging analysis tools could applied usecase yet validated primary qualitative investigation stakeholder perceptions aienabled decision tool also absent multimethods study aims establish safety efficacy aienabled decision tool namd treatment decisions understand clinical pathway could sit factors likely influence implementation singlecentre retrospective imaging clinical data collected namd clinic visits national health service nhs teaching hospital ophthalmology service including judgements namd disease stability activity made realworld consultantledcare dataset size set power calculation using first 127 randomly sampled eligible clinic visits aienabled retinal segmentation tool rulebased decision tree independently analyse imaging data report namd stability activity clinic visits independently external reading centre receive clinical imaging data generate enhanced reference standard clinic visit noninferiority relative negative predictive value aienabled reports disease activity relative consultantledcare judgements tested parallel approximately 40 semistructured interviews conducted key namd service stakeholders including patients transcripts coded using theoretical framework thematic analysis follow nhs research ethics committee uk health research authority approvals place 21nw0138 informed consent planned interview participants written oral dissemination planned public clinical academic commercial stakeholders