# human-centered design Published articles for human-centered design. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Reframing Healthcare Technology in the AI Era DevFeed: [Reframing Healthcare Technology in the AI Era]() Original publisher: [Read original article]() Author: Jon Wettersten Published: 2026-03-06T22:14:00Z Content type: opinion Language: en Sources: [8th Light](), [8th Light Insights]() Topics: [Artificial Intelligence](), [Generative AI](), [Automation](), [decision-making](), [trust](), [digital]() Tags: [ai](), [automation](), [decision-making](), [generative-ai](), [governance](), [healthcare](), [healthtech](), [human-centered-design](), [safety](), [technology](), [transparency](), [trust]() ### AI overview This article argues that healthcare organizations should approach AI adoption through human-centered design, stronger governance, transparency, and alignment with clinical standards. It emphasizes that clinicians need technology to reduce administrative burden and support patient care without compromising safety, trust, or practical and ethical readiness. ### Source excerpt At 8th Light, we help healthcare organizations design and build AI-enabled systems that put people first, combining product strategy, human-centered design, and technology leadership to create innovative solutions that work for clinicians as well as patients. Why This Matters Although AI continues to dominate healthtech headlines, many frontline clinicians are still battling clunky systems, fragmented workflows, and administrative overload. The reality? Healthcare practitioners are not asking for more technology, they're asking for more time with patients. The tension between innovation and adoption continues to shape healthcare's digital transformation. As AI tools quickly evolve and adapt to revolutionize diagnosis, documentation, and decision-making, many healthcare providers remain cautious. Their questions are not about the potential of technology, but about its practical and ethical readiness for real-world care. For instance: How do we vet these tools? Can we trust the outcomes? Will this actually improve care or just add more work? Will this solution deliver measurable ROI without compromising patient safety? These are not questions of resistance, they're questions of responsibility. As healthcare systems race to deploy generative AI, predictive analytics, and automation, clinicians and administrators are demanding stronger governance, transparency, and alignment with clinical standards. Their goal isn't to slow innovation, but to ensure technology protects both patients and the licensed physicians who care for them. Behind these questions lies a workforce already under significant strain, and technology that fails to ease that burden risks making it worse. The Urgent Need for Human-Centered Healthtech The U.S. is already experiencing workforce strain across many health professions, driven by geographic maldistribution, burnout, and demographic pressures. Federal workforce projections show ongoing gaps across multiple professions, with non-metro communities ## Using Viability and Feasibility to Guide Ambiguous Design Projects DevFeed: [Using Viability and Feasibility to Guide Ambiguous Design Projects]() Original publisher: [Read original article]() Author: Agustin Sanchez Published: 2025-07-25T05:00:00Z Content type: article Language: en Sources: [8th Light Insights]() Topics: [iteration](), [Testing](), [Users]() Tags: [experiential-design](), [experiment](), [human-centered-design](), [iteration](), [onboarding](), [value]() ### AI overview This article presents human-centered design as a way to navigate ambiguous projects. It explains how defining business objectives and measurable outcomes establishes viability, while testing ideas early and iterating helps assess feasibility and reduce risk. ### Source excerpt Updated 7/25/2025. Originally published 12/10/2024 Ambiguity in design isn't a roadblock -- it's an opportunity. Design ingenuity thrives in the gray area where rules haven't been written, and solutions are waiting to be discovered. So how do you turn "I have no idea where to start" into breakthrough ideas that actually work? At 8th Light, our approach is anchored in the three pillars of human-centered design: viability, feasibility, and desirability. These are the tools that transform chaos into clarity and make ambiguity your ally, not your enemy. Viability: Define Your Destination Before Picking the Route The truth is, you don't need to know the "how" right away. However, you absolutely need to know the "why." Viability ensures your team stays aligned with business objectives, reducing costly detours and keeping your efforts focused on delivering measurable value. Picture this: You're tasked with fixing an outdated customer onboarding process. The details are vague, but the goal is crystal clear -- reduce the time it takes for new users to find value. Once you've mastered the "why," the rest becomes an experiment. Early setbacks are simply data points, guiding you toward smarter decisions. Viability keeps you aligned with business objectives, ensuring that every test and rapid iteration thereafter, serves a purpose. Pro tip: Start every ambiguous project with these two questions: What are we trying to achieve? Why does this matter? -> Takeaway: Before starting a project, define clear business objectives and measurable outcomes. Use these as your north star to guide every decision. Feasibility: Stop Guessing, Start Testing With your goals in place, it's time to embrace the unknown and start experimenting. Feasibility minimizes risk by validating ideas early, reducing the chance of expensive missteps, and accelerating your path to market-ready solutions, encouraging you to iterate effectively to reach the solution. It answers the question: Can we actually build this?