Abdul Qayyum, Abdesslam Benzinou, Oumaima Saidani, Fatimah Alhayan, Muhammad Attique Khan, Anum Masood, Moona Mazher
Assessment and classification of COVID-19 DNA sequence using pairwise features concatenation from Multi-Transformer and deep features with Machine Learning models
SLAS technology
article migrated article marked recommended background safe handover crucial healthcare taught undergraduate prevocational training curricula considered entrustable professional activity epa handover assessment tools developed correlation perceived quality handover accuracy studied aims paper aims determine correlation perceived quality accuracy safety handover methods descriptive quantitative study looked medical students longterm rural clinical placements gave clinical handovers supervisors supervisors scored handovers using clinical handover assessment tool chat assessed accuracy safety handover seeing patient correlation handover scores accuracy safety calculated using cramers v coefficient results 114 handovers 25 students assessed correlation coefficient global assessment quality accuracy 0585 safety 0583 considered large effects 035 also held using checklist quality assessment less strongly 0419 0363 respectively conclusion findings suggest handovers sound good likely accurate clinicians trust gutfeeling high quality handover reflects trainee clinical reasoning communication organisational skills suggests provide accurate safe handover supports use global assessments handover important part multisource feedback required summative entrustment decisionmaking