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https://www.selleckchem.com/products/kppep-2d.html Due to the COVID-19 pandemic, multidisciplinary team (MDT) meetings have to switch from physical to digital meetings. However, the technology they currently use to facilitate these meetings can sometimes be lacking, therefore many software companies have developed new software to ease our new digital workspace. In this study, we propose a new method, a comparative participatory cognitive walkthrough, which can show mismatches in cognitive models. To test our method, we tested the compatibility of EPIC EMR (EPIC Care) and the NAVIFY Tumor Board for preparing MDT meetings. The identified mismatches are categorized in the HOT-fit model by Yusof et al, a common way to evaluate if a healthcare information system fits with the healthcare professionals and the organization. In total, 16 mismatches were identified. These mismatches were discussed in a feedback session with an implementation manager of the NAVIFY Tumor Board. The proposed method seems to be a fast and cheap method to gain useful insights in how well new software matches with the software currently in use, by comparing the cognitive models in place when performing tasks involved with specific scenarios. The identified aspects can be of use for the development and adaptation of the new software, as well as provide guidelines on which aspects to focus on when training healthcare professionals to use the new software to have a smooth transition of software.The demographics in Denmark are changing. People's life expectancy is increasing, which puts a strain on the home care resources. The aim of this article is to get a deeper insight to how a specific medication robot in elders' homes can be further developed and modified to create more independence. An insight to the end users is created through the use of participatory design methods. The methods illuminate the fact that the medication robots design is gawky, its alarm volume is too low, the robot itself is to

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