27 August 2024 | 13:00-14:30

Format: Presentation
Stream: People

Part 1: Resilience redefined: innovating behavioural solutions for a safer, healthier tomorrow

Breaking Barriers, Building Bridges: Join the conversation on Sydney Local Health District’s Behavioural Escalation Support Team (BEST). Explore how BEST pioneers transformative strategies, ensuring patient and staff well-being. Join us for a compelling session on revolutionizing behavioural support in modern healthcare.

Chloe Hannigan Sydney Local Health District, Australia

 

Part 2: Survey of factors influencing nurses managing mental state in acute hospital settings

Caring for patients presenting with mental state deterioration (MSD) in acute hospital settings presents a uniquely complex and demanding challenge. The impacts of MSD include poor patient outcomes, continued use of restrictive practices, negative staff effect. Our healthcare organisation is trialing a rapid response team model to manage patients presenting with MSD. This survey is part of a realist evaluation testing and refining theories by identifying factors influencing nurses’ ability to manage MSD. Understanding these factors is important for understanding the effectiveness of the response model. Our research is in line with the forum’s systems thinking stream and would be honoured to share our findings.

Tendayi Bruce Dziruni Alfred Health, Deaking University, Australia

 

Part 3: Impact of using transcription software in outpatient clinic to improve efficiency

Demographic details play a pivotal role in the holistic assessment of children providing valuable insights to the doctors in their clinic consultation. During the first visit to the Department of Child Development (DCD) at KK Women’s and Children’s Hospital in Singapore, the demographic details including child’s medical and birth history are collected through a parent-reported online questionnaire. Upon receiving this, the nurse transcripts the details manually onto the electronic medical records (EMR). However, it is prone to errors, consumes time and resources. We have implemented a JavaScript Object Notation “JSON” -based transcription software for transcription onto EMR. This paper reports the preliminary findings of adopting this software on quality improvement.

Si Yu Lee KK Women’s & Children’s Hospital, Singapore