Research paper
Assessing Risk in Implementing New Artificial Intelligence Triage Tools - How Much Risk is Reasonable in an Already Risky World?
About this item
- Title
- Assessing Risk in Implementing New Artificial Intelligence Triage Tools - How Much Risk is Reasonable in an Already Risky World?
- Content partner
- University of Otago
- Collection
- Otago University Research Archive
- Description
Risk prediction in emergency medicine (EM) holds unique challenges due to issues surrounding urgency, blurry research-practise distinctions, and the high-pressure environment in emergency departments (ED). Artificial intelligence (AI) risk prediction tools have been developed with the aim of streamlining triaging processes and mitigating perennial issues affecting EDs globally, such as overcrowding and delays. The implementation of these tools is complicated by the potential risks associated ...
- Format
- Research paper
- Research format
- Scholarly text / Journal article
- Thesis level
- Article
- Date created
- 2025-01-29
- Creator
- Nord-Bronzyk, Alexa / Savulescu, Julian / Ballantyne, Angela / Braunack-Mayer, Annette / Krishnaswamy, Pavitra / Lysaght, Tamra / Ong, Marcus E. H. / Liu, Nan / Menikoff, Jerry / Mertens, Mayli / Dunn, Michael
- URL
- https://hdl.handle.net/10523/44865
- Related subjects
- Artificial intelligence / implementation / risk / triage
What can I do with this item?
Check copyright status and what you can do with this item
Check informationReport this item
If you believe this item breaches our terms of use please report this item
Report this itemDigitalNZ brings together more than 30 million items from institutions so that they are easy to find and use. This information is the best information we could find on this item. This item was added on 10 February 2025, and updated 14 February 2025.
Learn more about how we work.
Share
What is the copyright status of this item?
Share, Modify, Use commercially
See below for specifics about how you may use this item.
More Information
University of Otago has this to say about the rights status of this item:
Copyright © The Author(s) 2025. This work was first published in Asian Bioethics Review (Springer Nature). This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://www.creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, provided that the original work is properly attributed to the creator(s) and the source, a link to the Creative Commons license is provided, and any changes made are indicated.
What can I do with this item?
You must always check with University of Otago to confirm the specific terms of use, but this is our understanding:
Non-infringing use
NZ Copyright law does not prevent every use of a copyright work. You should consider what you can and cannot do with a copyright work.
Share it
This item is suitable for copying and sharing with others, without further permission.
Modify it
This item is suitable for modifying, remixing and building upon, without further permission.
Use it commercially
This item is suitable for commercial use, without further permission.
What can I do with this item?
Check copyright status and what you can do with this item
Check informationReport this item
If you believe this item breaches our terms of use please report this item
Report this itemDigitalNZ brings together more than 30 million items from institutions so that they are easy to find and use. This information is the best information we could find on this item. This item was added on 10 February 2025, and updated 14 February 2025.
Learn more about how we work.
Share
Related items
Loading...