Flytram
Wise Decision
Healthcare providers and patients are now encouraged to make decisions together. Although doctors are responsible for explaining medical risks and benefits to patients in order to help them understand their options, patients with low medical literacy and poor numeracy skills still struggle to understand medical risk values, resulting in medical decisions based on personal feelings or perceptions, and decisions that contradict their values. In such situations, visual aids can be necessary and advantageous in assisting patients in better comprehending their healthcare options and risks.
Wise Decision is a visual aid tool for patients that provides information relevant to medical decisions. Patients can actively participate, seek clarification, and communicate various options using interactive animations. The tool helps patients understand the risks and benefits of various treatments, examinations, and lifestyles by presenting the information visually. This encourages the consideration of treatments with fewer adverse effects while reducing biases resulting from narratives. Risk information, such as disease incidence and drug side effect ratios, is displayed through shading or colour changes using a denominator of 100 icons.
Wise Decision has the potential to enhance the efficiency of doctor-patient communication and bridge the knowledge gap between medical professionals and the general public. It can be synchronised with Electronic Health Records (EHR) to provide personalised risk data, aiding patients in comprehending the risks and benefits of various treatments, tests, and lifestyles. Additionally, the tool has the capacity to reduce medical disputes, prevent wastage of medical resources, improve overall medical quality, and enhance patient satisfaction.
Red Dot Award: Design Concept | Concept | Service Design
Credits
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Institution:National Taipei University of Technology, Department of Industrial Design, Design Psychology Lab, Taiwan
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Faculty Advisor:Prof. Zheng Meng-Cong
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Design:Chen Wei, Guo Jia-Xin, Lee Yuan-Chieh, Lung Ting-Chun, Wang Li-Jen