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Title BMJ Simulation & Technology Enhanced Learning
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Abstract nursing care in technologically complex environments is particularly challenging when nurses develop relationships with their patients over an extended period of time. In these environments the potential for intimate relationships can increase
Abstract ). Part 2 of this updated Joint Project report summarizes HTA-based strategies for directing the clinical use of PET and a discussion on the value of HTA in managing the diffusion of high cost diagnostic technologies, which were presented at an INAHTA
Abstract examined; (b) describe methods used to examine technology in nursing work; (c) identify outcomes used to evaluate technology in relation to the quality of nursing work; and (d) make recommendations for future research. BACKGROUND: New technologies can offer

The Efficacy of Technology in Type 1 Diabetes: A Systematic Review, Network Meta-analysis, and Narrative Synthesis.   [26-May-2020]

Zoungas S.; Pease A.; Lo C.; Earnest A.; Kiriakova V.; Liew D.
Abstract conducted a systematic review, network meta-analysis, and narrative synthesis to compare the relative efficacy of available technologies for the management of type 1 diabetes. Method(s): We searched MEDLINE, MEDLINE In-Process and other nonindexed citations
Abstract underwent forensic medical examinations at the Victorian Forensic Paediatric Medical Service following an allegation of sexual assault, between 1 January 2014 and 31 December 2020. Cases identified as being technology facilitated were further analysed

Location context for knowledge management in healthcare.   [22-Jun-2010]

Ahsan K.; Kingston P.; Shah H.
Abstract in adopting location deduction technologies for patient care resulting in improvements in clinical process management and healthcare services. Copyright © 2010 Inderscience Enterprises Ltd.

Artificial intelligence-driven wearable technologies for neonatal cardiorespiratory monitoring. Part 2: artificial intelligence.   [6-Mar-2023]

Sitaula C.; Grooby E.; Kwok T.C.; Sharkey D.; Marzbanrad F.; Malhotra A. 
Abstract , and categorised the methods based on their learning capabilities and performance. Result(s): For AI related to wearable technologies for neonatal cardio-respiratory monitoring, 63% of studies utilised traditional ML techniques and 35% utilised deep learning

Implementing Tap-to-Witness Technology in the Electronic Medical Record.   [1-Feb-2024]

Jedwab R.M. ; Pham A.; Gogler J. ; Garduce J.-N.; Foster J.; Brook R.; Dobroff N. 
Abstract The implementation of an organisation-wide EMR system in 2019 included single sign-on technology for nurses and midwives. This first-in-Australia study extended the use of this technology to enable nurses and midwives to tap-to-witness for high

Utilisation, access and recommendations regarding technologies for people living with type 1 diabetes: consensus statement of the ADS/ADEA/APEG/ADIPS Working Group.   [27-Nov-2021]

Pease A.J.; Andrikopoulos S.; Abraham M.B.; Craig M.E.; Fenton B.; Overland J.; Price S.; Simmons D.; Ross G.P.
Abstract is needed to ensure equitable and sustainable implementation of these technologies as part of holistic care. Main recommendations: This consensus statement considers technologies for insulin delivery, glucose sensing and insulin dose advice
Abstract eHealth systems exist and are in use by the medical professions working in primary and community care; less is known about eHealth systems for allied health professions. Objective To identify examples where an eHealth technology had been built
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