Parkinson's disease and the concept of resilience, cognitive, and motor reserve.

In this era of expanding development and deployment of Data Science and Artificial Intelligence (AI), a key focus is how these new technologies can be adopted safely to benefit health and care. Coinciding with this is an increased burden on healthcare professionals (HCPs) due to factors such as increased administrative demands, patient volume and complexity and public health emergencies such as the COVID-19 pandemic. HCPs felt the brunt of COVID-19 with many reporting heightened levels of acute stress, anxiety and feelings of burnout due to increased workload with more strenuous shifts []. There are strong associations between medical errors and physician burnout []. Moreover, research has suggested that stressful hospital environments, defined by high levels of perceived patient stress, yield poorer patient outcomes []. Clinical decision support systems (CDSS) are tools which aid users in making evidenced based decisions surrounding patient care. They contribute towards better clinical practice through reducing error, enhancing patient safety and ultimately improving patient outcomes []. Implementing and adopting progressive systems such as AI-assisted CDSS (AI-CDSS), may become especially important to address the increasing demands on current healthcare systems.