Nurses in the intervention arm will perform will receive training on the nature of AI recommender (FAIR) and how it works, and how they can apply it in their assessment of the patient.

After that, they will be introduced to three simulated patients with different conditions and needs - intended to reflect a patient at "low risk of falls", "moderate risk of falls" and "high risk of falls" and asked to read and interpret the FAIR recommendations before making their own falls risk assessment of the patient using mWHeFRA.

Nurses in the control arms will be reinforced on fall risk assessment methods using the modified Western modified Western Health Falls Risk Assessment Tool (mWHeFRA).

After that, they will be introduced to three simulated patients with different conditions and needs - intended to reflect a patient at "low risk of falls", "moderate risk of falls" and "high risk of falls" and asked to perform assessments of the patient mWHeFRA.

FAIR is an alert system built into the hospital's electronic medical record system. It is an adaptation of a machine learning model for fall risk calculation built in another hospital in Singapore. FAIR combines multiple patient-specific variables to identify if a patient is at increased risk of falling during their inpatient stay, marking them as a 'falls risk'.

Based on the 'flag' raised, the nurse will be instructed to prioritise her falls risk assessment of the patient (If deemed 'high risk') or to do so subsequently as a lower priority once other pressing patient care issues are resolved (if deemed 'low risk').

That way, it ensures the requirements of each patient receiving a falls risk assessment as scored through mWHeFRA are still met, with FAIR allowing nurses to better prioritise their focus and attention on the patient that most needs the assessment at point of admission,

Examination of how often the flags raised by FAIR are accepted by nurses, and whether they are accepted or ignored correctly.

The time taken by the nurses to perform their falls risk assessment will be recorded

The time each nurses takes looking at the FAIR falls risk assessment will be assessed