Examining Nurses' Trust and Acceptance of FAIR, an AI-powered Falls Risk Recommender

Trial design

Treatments tested in this trial

• Falls risk - Artificial Intelligence Recommender (FAIR)

  Other intervention Other interventionAn intervention that does not fit one of the standard intervention types.

  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,

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• modified Western Health Falls Risk Assessment Tool (mWHeFRA)

  Other intervention Other interventionAn intervention that does not fit one of the standard intervention types.

  The mWHeFRA is the hospital's standard falls risk assessment tool. All nurses are expected to be proficient in its use to guide their risk assessment of patients