| Autor: |
Mélanie Suppan, Tal Sarah Beckmann, Cenan Gercekci, Thérèse Sigrist, Georges Louis Savoldelli, Roxane Fournier, Caroline Flora Samer |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Healthcare, Vol 9, Iss 7, p 799 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2227-9032 |
| DOI: |
10.3390/healthcare9070799 |
| Popis: |
Local anesthetics systemic toxicity can lead to life-threatening situations. Correct calculation of the maximum safe dose is therefore paramount in preventing such complications. Different solutions have already emerged to support anesthesiologists but are seldom used in clinical practice as they require either access to a computer or specific documents to be at hand. A mobile app could provide an easy and practical solution; however, the few apps already created for this purpose often lack key elements, allowing invalid data to be entered and suggesting doses that might exceed the maximum safe dose. We describe the development of LoAD Calc, a mobile health (mHealth) app developed using a modified version of the Information Systems Research framework, which adds design thinking modes to the original framework. The app was enhanced through multiple iterations and developed with the aid of contextual observations and interviews, brainswarming sessions, prototyping, and continuous feedback. The design process led to the creation of two prototypes which underwent thorough testing by a sample of eight anesthesiologists. The final version of the app, LoAD Calc, was deployed on Apple and Android mobile test platforms and tested again by the same sample until deemed fit for release. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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