Abstract
Aim: Introducing Artificial intelligence (AI) technology into healthcare is complex. One area in which AI technology could benefit is in the calculation of individualised fluid volume for patients with sepsis, guided by their clinical characteristics. Using a human factors approach, this study aimed to understand clinicians’ needs for an AI sepsis fluid management (AI-SFM) tool in adult critical care.
Methods: A vignette was created demonstrating how the proposed AI-SFM tool could be used for sepsis fluid management. Clinicians working in Scottish adult critical care were shown the vignette and interviewed (Dec 2022 – Feb 2023) to discuss their current work system and how this may be impacted by the AI-SFM tool. Data were collected and analysed using a thematic approach, using the extended Work System Model as a framework.
Results: Twenty clinicians from nine health boards participated (six trainee doctors, five pharmacists, four consultants, four advanced critical care practitioners, and one nurse). The AI-SFM tool was perceived positively. Participants provided suggestions for the AI-SFM tool, including that patient data should be automatically integrated from patient records, but with the potential to make changes via the tool if necessary. However, changes to the work environment would be necessary before the AI-SFM tool could be used in practice, including: the need for additional technology; organisational culture improvements; and ward layout changes.
Conclusions: This study explored the needs of clinicians working in adult critical care for an AI-SFM tool for sepsis fluid management using a human factors approach. While received positively, underlying environmental and technological changes would be necessary before integrating an AI tool. Applying a human factors approach and including prospective users of healthcare AI technology in the initial design stage allowed for the consideration of the needs of said users in this healthcare setting.
Methods: A vignette was created demonstrating how the proposed AI-SFM tool could be used for sepsis fluid management. Clinicians working in Scottish adult critical care were shown the vignette and interviewed (Dec 2022 – Feb 2023) to discuss their current work system and how this may be impacted by the AI-SFM tool. Data were collected and analysed using a thematic approach, using the extended Work System Model as a framework.
Results: Twenty clinicians from nine health boards participated (six trainee doctors, five pharmacists, four consultants, four advanced critical care practitioners, and one nurse). The AI-SFM tool was perceived positively. Participants provided suggestions for the AI-SFM tool, including that patient data should be automatically integrated from patient records, but with the potential to make changes via the tool if necessary. However, changes to the work environment would be necessary before the AI-SFM tool could be used in practice, including: the need for additional technology; organisational culture improvements; and ward layout changes.
Conclusions: This study explored the needs of clinicians working in adult critical care for an AI-SFM tool for sepsis fluid management using a human factors approach. While received positively, underlying environmental and technological changes would be necessary before integrating an AI tool. Applying a human factors approach and including prospective users of healthcare AI technology in the initial design stage allowed for the consideration of the needs of said users in this healthcare setting.
| Original language | English |
|---|---|
| Publication status | Published - 14 Dec 2023 |
| Event | 2023 Digital Heath & Care Fest: Health & care in the digital age: underpinning care & wellbeing in health, home and communities - Technology & Innovation Centre, University of Strathclyde, Glasgow, United Kingdom Duration: 14 Dec 2023 → 14 Dec 2023 |
Conference
| Conference | 2023 Digital Heath & Care Fest |
|---|---|
| Abbreviated title | DigiFest23 |
| Country/Territory | United Kingdom |
| City | Glasgow |
| Period | 14/12/23 → 14/12/23 |
Keywords
- digital health
- sepsis
- critical care
