Artificial Intelligence in healthcare: Insights from clinicians in a developing country

Abstract

Objective: This survey aims to explore clinicians’ knowledge and viewpoints regarding AI encroaching and altering healthcare delivery models. Study design: A mixed method survey-convergent parallel type Sample Size: 173 Place and duration of study: Data was collected online using Google forms from September to December 2019. Participants: Clinicians, dentists, and medical students of Pakistan were reached out via email and WhatsApp groups. Methodology:A questionnaire exploring clinicians’ knowledge and perceptions of AI in healthcare was designed. It comprised 17 close-ended and 5 open-ended items. Face and content validation was done in an FGD with six participants. Results: The majority of participants knew the definition of AI (65.6%) and believed that the clinicians should learn AI (79%) because AI is the future (31.4%). Half of the participants (54%) don’t believe that computers can discover meaning from data or do reasoning. Very few (n=18) AI applications in healthcare were known to the participants. Only 39% believed that AI apps should be built by multi-professional teams including doctors. Almost 71 % knew that computer and statistical skills are necessary for future clinicians as 16% (n=40) said it is the need of the hour, to do research 15.1% (n=37), an essential part of life 8.1% (n=20), to expedite their work 6.5% (n=l6) and to remain competent 9.8% (n=24). Conclusion: Current and future clinicians need more awareness about AI technologies and its sub-fields in order to gain its maximum benefit and remain clinically and culturally competent in the upcoming digital era of healthcare.

Ähnliche Arbeiten