One of the most striking findings was the impact of adaptive interfaces on healthcare outcomes.
Parth Chandak
As digital transformation grows in many industries, focusing on user-centered design becomes very important. This type of design helps technology fit well into our daily lives, making it useful and easy to use. Whether it's about healthcare or self-driving cars, user-centered design makes a big difference. Parth Chandak is an expert in this field, studying how these concepts can make technology better. He has examined how user-friendly telemedicine interfaces and healthcare IoT (Internet of Things) applications are. Together with healthcare professional Dr. Alaka Chandak, he investigates how intuitive design can improve both healthcare and systems that operate on their own, like autonomous vehicles.
Chandak’s research papers, Advancing Telemedicine Through Adaptive UX: A Systematic Review of Interface Design for Equity and Accessibility in Diverse Healthcare Settings and Systematic Review of Healthcare IoT and Rapid Prototyping Applications: Addressing Challenges and Implementation, further explores these themes, analyzing how interface adaptability can improve access to healthcare for diverse populations.
How did you become interested in user-centered design for healthcare technology?
"While examining research on telemedicine tools, I noticed a big gap between what these technologies could do and what people actually needed," Chandak states. "Many of these systems were impressive from a technical standpoint, but they didn't fully address the varied needs of both patients and healthcare providers."
His collaboration with Dr. Alaka Chandak provided crucial insights. “Her healthcare expertise helped us see that technology adoption in healthcare isn’t just about capability-it’s about usability. Even the most advanced systems fail if they are difficult to navigate or don’t align with the workflow of medical professionals.”
Chandak notes that these principles apply beyond healthcare. “The same challenge exists in autonomous systems, where trust in technology depends on how intuitive and transparent the interface is. Whether in a hospital or a self-driving car, users need to understand and trust the system for it to be effective.”
What key findings emerged from your literature reviews about adaptive interfaces?
One of the most striking findings was the impact of adaptive interfaces on healthcare outcomes. Studies reviewed in Chandak’s research revealed that adaptive interfaces reduced wait times by 30% and improved patient compliance with chronic care plans by 25%.
For communities with limited access to services, having features like support for several languages and easy-to-use navigation tools made a significant impact. In India's eSanjeevani telemedicine program, for example, adding regional language support helped access grow by 40% in rural areas, showing how important language accessibility can be in reaching more people. Another key lesson learned was about using progressive disclosure.
This approach involves sharing the most critical information first and then providing more details if needed. It helps reduce the amount of information to process at one time, making it easier for people to focus on what's really important without getting overwhelmed or missing key details.
What challenges did you observe in implementing user-centered design?
“Digital literacy remains a major barrier, particularly among elderly patients and in resource-constrained environments,” Chandak says. “Many interfaces are built for tech-savvy users but fail for others.”
Infrastructure limitations pose another hurdle. Healthcare IoT applications often assume reliable internet connectivity and power-resources that aren’t always available.
Cross-disciplinary collaboration also plays a crucial role. The most successful implementations involved constant dialogue between technologists, healthcare providers, and patients. When this collaboration was missing, systems often overlooked critical user needs.
How do these principles apply to autonomous systems?
“The parallels are striking,” Chandak says. “Both healthcare technology and autonomous systems must earn user trust through transparent, predictable, and adaptive interfaces.”
In autonomous vehicles, for example, clear communication about the system’s awareness and decisions is as critical as it is in telemedicine. Multimodal communication-using visual, audio, and haptic feedback-has proven effective in both sectors.
He also highlights the importance of progressive disclosure in autonomous technology. “Like in healthcare, these systems should present critical information upfront while allowing users to access deeper insights when needed.”
What future directions do you see for user-centered design in these fields?
“The research points toward increasingly personalized interfaces that adapt to individual user needs,” Chandak notes. Studies show that when systems learn from user interactions, satisfaction and adoption rates improve significantly.
He also emphasizes the value of ‘minimum viable experiences’-simplified but functional prototypes that allow users to engage with core features early. “This approach ensures that real user feedback shapes the design before heavy investment in development.”
Finally, he underscores the growing recognition that equity must be a foundational design principle. “The most successful interfaces are those built with diverse user groups in mind from the outset, rather than being retrofitted for accessibility later.”
Ultimately, Chandak envisions a shift where technology feels less like an external tool and more like an intuitive extension of human intention. “The future isn’t just about making technology smarter-it’s about making it more human.”
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