Clinical documentation takes up 40% of clinicians’ time. To ease the administrative burden of clinicians, digital scribes offer the potential to automate clinical note taking. Digital scribes are intelligent documentation softwares that combine automated speech recognition (ASR) and natural language processing (NLP). Digital scribes transcribe clinician-patient consultations and convert the conversation into structured clinical notes. Attendi, the client is developing a digital scribe for orthopedics: the Assistant. Hip arthrosis consultations have a well-structured anamnesis, therefore a promising use case for the digital scribe.

This Master thesis investigates the clinician perspective of implementing the Assistant. Literature was reviewed to understand the problem space and the design implications of the enabling technologies. Core concepts in human-AI collaboration such as system transparency and human control were identified to design for hybrid documentation. Also, the perspectives of recording consultations were translated into values for hospitals, clinicians and patients. The findings lead to both mutual benefits and tensions for the clinician-patient relationship and obstacles for implementation.

To contribute to developing the Assistant, user research was carried out in context by shadowing orthopedic surgeons to see their day-to-day workflow and understand the current cycle of clinical documentation. Several surgeons were interviewed to gain more in-depth views about the digital scribe. As synthesis, personas and journey maps were created both for a typical consultation cycle and a daily workflow. From the research phase, a list of user requirements were gathered in order to aid the design phase and future development. Finally, the envisioned user journey is presented in a service blueprint with the developed interface of the Assistant.

In the IPD Master’s in Industrial Design Engineering (TU Delft) we see a growing diversity of students. We see the international student population growing, but also see significant differences in prior education, socio-emotional aspects, and competences. Within the Advanced Embodiment Design (AED) course, students work in teams on a client-based design project for a full semester. In 2018-2019, 22 student-teams started out their endeavour, coached by eight coaches. On a weekly basis the coaches tracked the teams' performances by means of six key performance indicators. The weekly logs are aggregated, converted, and visualized in a performance dashboard which was used to lead the discussion on troublesome teams and solutions to get them back-on-track. In this cohort four fields were found: (i) cultural differences; (ii) differences in design approaches; (iii) emotional differences; and (iv) differences in student competences. These typical problems were the result of our own coaches' perspective, and not so much from a student's perspective. To really get a grip on team dynamics and issues involved, we wanted to know what students come across when functioning in a multi-diverse team. In this paper we present our exploration from students' perspective by evaluating the end-of-course reflections. The goal of this research is to learn about the most occurring issues within multi-diverse teams and come to applicable solutions to help teams during the project. We started out with a word cloud to find the most common terms and use those as labels for clustering. 308 unique students’ quotations were labelled and clustered into three main clusters based on project management, emotional interaction and interdisciplinary, and 11 subclusters. The clustered data revealed interesting results in terms of (sub)clusters as well as their relationships to each other. Visualizing the associations between the subclusters show for example that lack of clear consensus on leadership causes challenges from various aspects leading to difficulties in role agreements, task concerns and design approaches, as well as managing individual behaviours. Despite initial assumptions, Cultural Differences led to the smallest number of challenges but scored high in terms of relations with other clusters. In this paper we will present our findings on the issues clustered and the prioritization of importance. We will discuss the relationships between the clustered student challenges, and review solutions which can help them out in becoming highly performing teams.@en