Displaying 31 - 40 of 351 results for "global warming because AI"
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Evaluation report: Test of the national paediatric early warning system implementation
This document outlines an evaluation of the early implementation of the national paediatric early warning system (PEWS).
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Webinar: Caring for complex older people
Dr Michal Boyd presented a webinar on Thursday 21 May 2020, 'Caring for complex older people: tips, tricks and tales from the trenches', in association with Mobile Health.
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Patient deterioration
The goal of this Atlas domain is to identify whether there is wide variation in rates of patient deterioration, which may highlight areas for further local investigation and improvement.
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Maternity early warning system (MEWS) short-stay maternity vital signs chart (MVSC)
The national maternity early warning system (MEWS) short-stay maternity vital signs chart (MVSC) supports the recognition of and response to deteriorating women in short-stay/assessment areas, such as women’s assessment units...
- Evaluation of the early implementation of the national maternity early warning system
- ‘Team Tamariki’: Paediatric early warning system (PEWS) poster for whānau, tamariki and staff
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Third annual report of the Maternal Morbidity Working Group
The third annual report from the Maternal Morbidity Working Group covering the period of 1 September 2017 to 31 August 2018.
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Second annual report of the Maternal Morbidity Working Group
This is the MMWG’s second annual report. It outlines the work of the MMWG and provides an update on what we have achieved this year and an overview of next steps.
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Guidelines for working with Asian patients and their families
Information and guidance for clinicians to increase cultural awareness, sensitivity, knowledge and skills when working with Asian patients and their families.
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Policy and practice in the use of root cause analysis to investigate clinical adverse events: mind the gap
This paper (Social Science and Medicine 73 (2011) 217-225) examines the challenges of investigating clinical incidents through the use of Root Cause Analysis.