Abstract
Especially during and as we come out of COVID-19, we are witnessing many challenges in emergency departments around the world. As such, a key focus is how to intelligently and effectively manage and improve patient flow so that clinical outcomes are optimal, patient satisfaction is high and costs are not excessive. Artificial intelligence (AI), machine learning (ML) and analytics are techniques that have been successfully utilised for great benefit in many escorts to address problems around flow and processes and thus in this chapter we investigate what might be possible in the context of the emergency department. To do this we begin with a scoping review and from this identify areas for future work and focus.
| Original language | English |
|---|---|
| Title of host publication | Dimensions of Intelligent Analytics for Smart Digital Health Solutions |
| Editors | Nilmini Wickramasinghe, Freimut Bodendorf, Mathias Kraus |
| Place of Publication | U.K. |
| Publisher | CRC Press |
| Chapter | 12 |
| Pages | 261-285 |
| Number of pages | 25 |
| ISBN (Electronic) | 9781003849704 |
| ISBN (Print) | 9781032699738 |
| DOIs | |
| Publication status | Published - 1 Jan 2024 |
| Externally published | Yes |
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