How might Al help the global clinician workforce?

There is a global healthcare crisis with issues in affordability, access, and quality. Despite increased technology use, expected benefits have not been realized due to the complexity of care and poor design and implementation. Moreover, the healthcare workforce is stretched thin, over-worked, and has degraded wellbeing. Burnout rates of clinicians are alarming in most countries. The factors contributing to clinician burnout are multifactorial, complex and vary by country. In the US, a key contributor to clinician burnout is the increasing burden of computer use. Al has the potential to improve healthcare quality, safety, clinician well-being, and reduce costs. However, poorly designed To reduce clinician burnout, Al must be Al can worsen patient safety and clinician designed with human-centered design well-being. Improper design of Al user (HCD) focusing on the needs of clinicians interfaces may lead to unintended errors and patients. Social scientists and human and patient harm, particularly during factors professionals are crucial in this human-Al interactions in time-sensitive, high-risk settings. Al models can contain systemic biases, resulting in care inequities. Over-reliance on Al can cause deskilling and misplaced trust, leading to serious errors. Automation bias has already caused adverse events in aviation and driving, with similar emerging issues in healthcare. Additionally, Al accuracy can deteriorate over time due to changes in patient populations, policies, and data capture methods. process. Key design elements include enhanced trust and transparency, clear communication of Al uncertainty, support for clinician and patient autonomy, and robust infrastructure to address Al technical, social, and ethical issues.