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. 2022 Nov 16;10(11):e37478. doi: 10.2196/37478

Table 2.

Summary of study characteristics: clinical competency and performance assessment.

Ref. No. Ref., Year Professional education domains of competence Description (implied or explicit) of competency User-AIa interface training and description Performance assessment
1 Bien, 2018 [23]
  • Patient care—clinical skills

Implied in methods; improve image interpretation Training N/Rb; interface not described Metric N/Pc; evaluate if AI assistance improves expert performance in reading MRId images
2 Hirsch, 2015 [22]
  • Patient care—clinical skills

Implied in methods; improve summarization of longitudinal patient record and information processing in preparation for new patients Training N/R; authenticated user queries the database for a patient and is provided with a visual summary of content containing all visit, note, and problem information Questionnaire; evaluate time and efficiency in information processing for patient care
3 Jordan, 2010 [21]
  • Communication

  • Patient care—clinical skills

  • Systems-based practice

Implied in methods; improve handovers in peri-operative patient care by reducing communication and informational errors Training N/R; patient summarization and visualization tool are used as an overlay to the existing electronic patient record Questionnaire; evaluate if AI-based tool performs better than physicians to provide clinical information and patient status in ICUe handovers
4 Sayres, 2019 [20]
  • Patient care—clinical skills

Implied in methods; improve reader sensitivity and increase specificity of fundal images Readers were provided training and similar instructions for use; interface not described Metric N/P; evaluate if AI assistance increases severity grades in model predictions by assessing sensitivity and specificity of reader

aAI: artificial intelligence.

bN/R: not reported.

cN/P: not provided.

dMRI: magnetic resonance imaging.

eICU: intensive care unit.