Title: Breaking Down Barriers to Technology Adoption in Clinical Settings: A Co-Design Study of Clinical Dashboards for Monitoring Parkinson’s Disease
Speaker: Diogo Branco, LASIGE/DI-FCUL
Date: June 1, 2023, 12h
Where: Room 6.3.26
Abstract: A wide array of tools are available for monitoring fluctuations in Parkinson’s disease, and the utilization of technological solutions such as sensors, applications, and smartphones has seen significant growth. However, the adoption of these approaches in clinical practice remains limited. One key factor is the need for greater awareness and comprehension among clinicians regarding the benefits and practicality of these technologies. Additionally, the unstructured nature of the data collected poses a challenge. To overcome these barriers, it is crucial to enable non-technical experts to utilize the collected data effectively. In our study, we collaborated with a multidisciplinary team of clinicians to co-design clinical dashboards in six sessions. The process commenced with a group discussion to gain insights into current practices and the potential role of technology. We then proceeded to envision future scenarios where technological approaches could be advantageous, unrestricted by existing limitations. Finally, participants were encouraged to illustrate their ideal dashboard, integrating data from clinical assessments and real-life scenarios. Our results revealed that despite the diverse backgrounds of the participants, there were shared interests in the data collected during evaluations. Most participants expressed a positive reception towards the opportunities technological approaches could offer in their evaluations. This finding underscores the potential benefits and acceptance of integrating technology into clinical practices, as identified through our collaborative design process. The study emphasizes the importance of involving stakeholders early in the design process, aiming to enhance the perceived value of technology. This approach represents a departure from the traditional norm, where individuals are typically required to adapt to technology.