A Non-touch approach using artificial intelligence to assist nursing intermittent visual observations

  •   Project Name

    A Non-touch approach using artificial intelligence to assist nursing intermittent visual observations

  •   HHS:

    Metro North HHS

  •   Presented by:

    Adjunct Associate Professor Niall Higgins, Mr Thanveer Shaik, Professor Xiaohui Tao, Professor Raj Gururajan and Associate Professor Xujuan Zhou

In-hospital suicides are often associated with occurring in the evening and during night shifts when there is reduced staff supervision. During these times of high risk, suicides occur in isolated areas of the ward such as bathrooms and single rooms. In this study, a prototype for a Remote Patient Monitoring (RPM) system was developed for early detection of suicidal behaviour in a hospital based mental health facility.

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