Designing a Digital Health Solution: A Platform for Automated Surveillance of Fungal Infection
- Author(s)
- Khanina, A; Rozova, V; Elkins, S; Verspoor, K; Thursky, K;
- Journal Title
- Studies in Health Technology and Informatics
- Publication Type
- Research article
- Abstract
- Surveillance of invasive fungal infection (IFI) requires laborious review of multiple sources of clinical information, while applying complex criteria to effectively identify relevant infections. These processes can be automated using artificial intelligence (AI) methodologies, including applying natural language processing (NLP) to clinical reports. However, developing a practically useful automated IFI surveillance tool requires consideration of the implementation context. We employed the Design Thinking Framework (DTF) to focus on the needs of end users of the tool to ensure sustained user engagement and enable its prospective validation. DTF allowed iterative generation of ideas and refinement of the final digital health solution. We believe this approach is key to increasing the likelihood that the solution will be implemented in clinical practice.
- Publisher
- IOS Press
- Keywords
- Pregnancy; Female; Humans; Artificial Intelligence; Digital Health; *Mycoses/diagnosis; *Labor, Obstetric; Natural Language Processing; Design thinking framework; digital health solutions; invasive fungal infection
- Department(s)
- Infectious Diseases
- Publisher's Version
- https://doi.org/10.3233/shti231241
- Open Access at Publisher's Site
https://doi.org/10.3233/shti231241- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2024-03-12 06:26:59
Last Modified: 2024-03-12 06:47:38