Enhance Comprehension of Over-the-Counter Drug Instructions for the General Public and Medical Professionals through Visualization Design
A new study shows redesigned visual drug labels improve comprehension and speed for both patients and doctors.
A research team from multiple institutions, including Mengjie Fan and Liang Zhou, has published a peer-reviewed study proposing a new, visual approach to over-the-counter (OTC) drug instructions. Published in the journal Computers & Graphics (Volume 136, May 2026), the work addresses a critical gap in medication safety: the poor comprehension of dense, text-based drug labels. The researchers conducted a visualization design study, creating two distinct instruction formats—one optimized for the general public and another for medical professionals—through an iterative design process.
A controlled user study demonstrated the effectiveness of this dual-approach strategy. The visual designs significantly outperformed traditional text-only instructions in key metrics, including faster user response times and higher usability scores. The availability of both a simplified public version and a detailed professional version was found to be particularly beneficial. Beyond the specific designs, the study also generated a systematic taxonomy for classifying OTC drug instructions, which received positive feedback from domain experts, and a generalized workflow that can be applied to redesign other medication guides.
This research, grounded in human-computer interaction (HCI) principles, moves beyond theory by providing tested, practical templates. The visualizations aim to reduce medication errors by making crucial information—such as dosage, timing, and warnings—instantly clearer. By tailoring communication to different audience needs and proving its efficacy with empirical data, the study offers a concrete blueprint for regulators, pharmaceutical companies, and healthcare providers to enhance patient safety and adherence.
- Created two distinct visual instruction designs: one for the general public and one for medical professionals, through an iterative HCI process.
- Proven efficacy: A controlled user study showed the visual designs beat text-only instructions in response time and usability metrics.
- Generated a taxonomy for OTC drug instructions and a generalizable design workflow for future medication guide redesigns.
Why It Matters
This research provides a data-backed method to reduce medication errors, a major public health issue, by making critical instructions clearer and faster to understand.