None listed
Conditions
Brief summary
Aim: To provide descriptive statistics about Western Australian health consumers attitudes towards the use of artificial intelligence (AI) in their emergency care. Justification: Over the last decade a combination of exponential increases in computing power, the digitalisation of medical data, and advances in AI algorithms has led to a renaissance in AI research. There exists both optimism and excitement over the potential for AI to improve society, and valid apprehension and concerns over potential failings or malicious uses of AI. If current trends continue AI technologies are likely to improve over the coming years and become increasingly integrated into the practice of emergency medicine in the near future, resulting in increasing patient exposure to such technologies. There is currently no data about how patients in Western Australia accessing emergency care feel about the use of AI in their care. Project design: Cross sectional survey Methods: We will survey patients in three large emergency departments in Perth Western Australia to assess their attitudes and concerns towards the use of artificial intelligence in their emergency care. We have developed our survey input from emergency physicians, computer scientists, and consumers. We will survey around 385 patients in order to provide an accurate representation of the combined South Metro Health Service, North Metro Health Service, and East Metro Health Service catchment areas. Hypothesis 1. Health consumers will be supportive of AI in their emergency care 2. Health consumers will trust humans more than AI 3. Health consumers will be willing to interact with some form of AI Expected outcome: This survey will provide the first high quality data on West Australian health consumers attitudes towards the use of AI in their emergency care.
Interventions
The survey has been designed specifically for this study. Survey questions have been developed with input from specialists in emergency medicine, computer science and artificial intelligence, and consumers to ensure face validity. The survey to be used will be piloted in a small representative sample of around 50 patients. If required survey questions will be iteratively updated. Surveys will be conducted by researchers blinded to study hypothesis. Following informed consent, patients in the eme
The survey has been designed specifically for this study. Survey questions have been developed with input from specialists in emergency medicine, computer science and artificial intelligence, and consumers to ensure face validity. The survey to be used will be piloted in a small representative sample of around 50 patients. If required survey questions will be iteratively updated. Surveys will be conducted by researchers blinded to study hypothesis. Following informed consent, patients in the emergency department will complete a paper-based survey. The anticipated duration of this survey is approximately 5 minutes. If patients cannot read English the survey will be conducted through a standardised and structured interview (~5 minutes duration).
Sponsors
Dr Jonathon Stewart
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
Patients presenting to Hospital Emergency Departments with an Australasian Triage Score category of 2, 3, 4, or 5. Patients will be considered eligible if they are over 18 and able to give informed consent to participate in the survey.
Exclusion criteria
Patients will be excluded if they are aged under 18, if they are acutely psychotic, if they are intoxicated, if they are cognitively impaired, if they do not speak English, or if the urgency of their clinical care precludes them from participating in a survey.
Outcome results
None listed