User Experience Design for Healthcare

We talk about health literacy as if it lives inside people — as if the solution is to hand individuals better tools, clearer brochures, simpler language, and hope they can “navigate” the system. But that framing is fundamentally wrong. Health literacy is not an individual skill problem. It is a system design problem. If a person struggles to understand, act, or make informed decisions, that is not a sign of their failure. It is a sign that the environment was not built to support them. It is an organizational failure, a policy failure, a leadership failure — a failure of design. Health literacy is not about teaching people to try harder. It is about building systems that make health understanding, access, and action natural — not heroic. It is a matter of equity and power, not worksheets and pamphlets. The true measure of a health-literate society is not how well individuals adapt to complexity — but how well institutions remove the complexity in the first place. Until we shift the responsibility from people to systems, from coping to designing, from deficit to empowerment — we will keep treating symptoms while ignoring the root cause.

𝐆𝐨𝐨𝐠𝐥𝐞 𝐣𝐮𝐬𝐭 𝐚𝐜𝐜𝐢𝐝𝐞𝐧𝐭𝐚𝐥𝐥𝐲 𝐬𝐡𝐨𝐰𝐞𝐝 𝐮𝐬 𝐡𝐨𝐰 𝐭𝐨 𝐟𝐢𝐱 𝐜𝐨𝐧𝐬𝐮𝐦𝐞𝐫 𝐡𝐞𝐚𝐥𝐭𝐡 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬. Their research on personal health agents wasn't meant for physical products. But buried in their framework is the blueprint for how consumer health should actually work. They identified the key elements that drive sustained health behavior change. 𝘏𝘦𝘳𝘦 𝘢𝘳𝘦 𝘴𝘰𝘮𝘦 𝘰𝘧 𝘮𝘺 𝘧𝘢𝘷𝘰𝘳𝘪𝘵𝘦𝘴: ✅ Appropriate timing - interventions that fit into existing routines ✅ User empowerment - increases agency, not anxiety ✅ Coherent synthesis - connects individual actions to overall health ✅ Informed suggestions - based on individual context and data ✅ Guided goal setting - actionable, measurable outcomes ✅ Feedback incorporation - adaptive to what's actually happening These principles apply perfectly to physical health products - but almost no one is building this way. The future of consumer health isn't about products. It's about systems. 𝘐𝘮𝘢𝘨𝘪𝘯𝘦 𝘩𝘦𝘢𝘭𝘵𝘩 𝘱𝘳𝘰𝘥𝘶𝘤𝘵𝘴 𝘵𝘩𝘢𝘵: ↳ Interpret your environment and health data together ↳ Provide informed, personalized guidance ↳ Embed into routines you already have ↳ Create continuous feedback loops ↳ Empower through clarity, not overwhelm This isn't about making "smarter" products. It's about designing user-centric platforms that treat health as continuous, contextual, and personal. The companies that win will be the ones that stop selling products and start building health infrastructure for your life. Invisible. Embedded. Adaptive. Empowering. 𝐖𝐡𝐚𝐭 𝐟𝐞𝐚𝐭𝐮𝐫𝐞𝐬 𝐝𝐨 𝐲𝐨𝐮 𝐭𝐡𝐢𝐧𝐤 𝐰𝐢𝐥𝐥 𝐝𝐞𝐟𝐢𝐧𝐞 𝐭𝐡𝐞 𝐧𝐞𝐱𝐭 𝐠𝐞𝐧𝐞𝐫𝐚𝐥 𝐨𝐟 𝐬𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥 𝐡𝐞𝐚𝐥𝐭𝐡 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬? 🔬 Study: Google Research, 2024 | "The Anatomy of a Personal Health Agent" #HealthTech #BehaviorChange #ProductDesign #ConsumerHealth

The data is screaming a failure of leadership: You cannot buy better patient outcomes. Industry has treated digital health like an IT project, not a human transformation. And the result is a $100 Billion to $300 Billion annual non-adherence problem in the U.S. alone. Stop buying tech that adds friction. Start investing in invisible empathy. The real transformation doesn't happen when a new server racks up. It happens when a well-designed tool hands a physician more time to look a patient in the eye. This is the non-negotiable ROI of smart health technology: Time returned to the caregiver. If your solution demands the human workflow adapt to the software (EHRs, I'm looking at you), you've lost. You have introduced the Curse of Intelligence, prioritizing complexity over care. Connected Care demands we reverse this. The mandate is simple for Founders and Executives: Design for the "From Home, Back to Home" Loop. The critical disconnect happens after discharge. The patient's core human need shifts to continuous reinforcement and accountability. The Connected Care model solves this. This is where technology must be a seamless enabler, not a distraction: Wrong Focus: Generic medication reminders and confusing portal dashboards. Right Focus: AI-powered nudges, triggered by integrated biometrics (IoT), that translate complex data into a simple, real-time message of support. When a virtual monitoring system detects a deviation (missed exercise, sudden weight gain), it must deliver personalized, empathetic coaching. This scales the vital function of an expensive human health coach. The formula is simple: Connected Care + Personalization = Adherence. It is estimated that highly personalized digital messaging can increase adherence rates by almost 18%. That's not a technical win; that's a human win scaled by technology. The technology you can't see working is often the one generating the highest value. True Connected Care is felt, not seen. #HealthTech #DigitalHealth #HealthcareStrategy #HealthIT #ConnectedCare

Happy Global Accessibility Awareness Day everyone! It's a great day to remind people, that, accessibility is the responsibility of the whole team, including designers! A couple of things designers can do: - Use sufficient color contrast (text + UI elements) and don’t rely on color alone to convey meaning. - Ensure readable typography: support text resizing, avoid hard-to-read styles, maintain hierarchy. - Make links and buttons clear and distinguishable (label, size, states). - Design accessible forms: clear labels, error help, no duplicate input, document states. - Support keyboard navigation: tab order, skip links, focus indicators, keyboard interaction. - Structure content with headings and landmarks: use proper H1–Hn, semantic order, regions. - Provide text alternatives for images, icons, audio, and video. - Avoid motion triggers: respect reduced motion settings, allow pause on auto-play. - Design with flexibility: support orientation change, allow text selection, avoid fixed-height elements. - Document accessibly and communicate: annotate designs, collaborate with devs, QA, and content teams. Need to learn more? I got a couple of resources on my blog: - A Designer’s Guide to Documenting Accessibility & User Interactions: https://lnkd.in/eUh8Jvvn - How to check and document design accessibility in your mockups: a conference on how to use Figma plugins and annotation kits to shift accessibility left https://lnkd.in/eu8YuWyF - Accessibility for designer: where do I start? Articles, resources, checklists, tools, plugins, and books to design accessible products https://lnkd.in/ejeC_QpH - Neurodiversity and UX: Essential Resources for Cognitive Accessibility, Guidelines to understand and design for Dyslexia, Dyscalculia, Autism and ADHD https://lnkd.in/efXaRwgF - Color accessibility: tools and resources to help you design inclusive products https://lnkd.in/dRrwFJ5 #Accessibility #ShiftLeft #GAAD

Your caregiving app requires a smartphone, good wifi, and digital literacy. Congratulations..you just excluded half your users. Most digital health teams still think accessibility means translating screens or adding a bigger help button. Designing for "everyone" means nothing if your product fails for the person who left school at 14, or the 73-year-old caring for her spouse who can't remember his own password. I've seen it firsthand: the best home-care tools mean nothing if they're too fiddly, rely on tiny icons, or assume every carer has time (or energy) to learn new tech. Here's the flip: caregiving tech must work for the most "offline" person in the room. If your user needs training, you failed. If your UI confuses someone after three taps, you failed. If your beautiful dashboard tells them nothing they can act on before their tea goes cold - you failed. When I first tested Dez with my brother who doesn't understand icons or how to answer a call on WhatsApp, he got it in 2 minutes. No jargon, no guessing, no shame. This matters because caregiving is already invisible and exhausting. The last thing the burdened want is another hoop to jump through. If your tech won’t scaffold autonomy for whom they care for, it’s not a healthcare product. It’s an exclusion device. Ready to debate? Is your product truly accessible, or just beautiful compliance box? #adaptability

Why do some digital health experiences feel effortless, while others just... don’t? It’s not only about design or UX as most of us know it, but it's about how motivation is treated and and delivered. Most digital health products (and my team has done lots of audits) still treat motivation like something you can add from the outside, where you can just push people with reminders, streaks, points, or little dopamine tricks! In the short term, that may work, but that is not going to keep people around if their goal is actually to achieve a positive health outcome. You see, good motivation design is meant to pull people in, whereas bad motivation design pushes them around. You need to understand that motivation is not a static simple thing, instead it is a system that changes moment to moment - that is what I explain to my advisory and consulting clients. It’s not about willpower, it’s about creating conditions where the right thing feels easy, meaningful, and maybe even satisfying, because keeping motivation alive is harder than just starting it. Something we use and which we have made practical for digital health design is called PRIME Theory (not many people I know use it in design - mostly used by behavioural scientists at the moment, so I encourage you to look into it) Prime (by Robert West) explains why our actions shift moment to moment and why we don’t always do what we plan to do. For your products this means: 1. Stop designing for static motivation - remember you’re shaping the conditions that influence which impulse wins right now. 2) Target multiple levels: -Interface and environment → affect impulses and responses. -Messaging and meaning → affect motives and evaluations. -Onboarding, identity cues, social norms → affect plans and values. 3) Design for state transitions, not traits - every feature, message, or interaction should help a user carry a motive from one moment to the next. 4) Bridge “oughts” to “wants” - engagement rises when what people believe they should do becomes something they want to do. 5) Identity is the deep lever - changing what people see themselves as (“I’m the kind of person who...”) reorganizes multiple PRIME layers at once. At any moment, one can override the others, and that is why you can want to be healthy, plan to exercise, but still skip the gym because your impulse to rest wins. Designing for engagement means you stop fighting human nature and start designing around it - a) You make the behavior easier for the moments people are tired or distracted b) You make the experience feel rewarding in itself c) You reduce the noise that pulls them away. That’s what real engagement design looks like, not the dark patterns and manipulation that some apps are driving these days with badly implemented gamification tactics, which in health can have really bad unintended consequences.

𝐖𝐡𝐚𝐭 𝐊𝐞𝐞𝐩𝐬 𝐖𝐨𝐦𝐞𝐧 𝐄𝐧𝐠𝐚𝐠𝐞𝐝 𝐢𝐧 𝐇𝐞𝐚𝐥𝐭𝐡 𝐀𝐩𝐩𝐬? (𝐇𝐢𝐧𝐭: 𝐈𝐭’𝐬 𝐍𝐨𝐭 𝐌𝐨𝐫𝐞 𝐍𝐨𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬) A 2024 scoping review in the Journal of Medical Internet Research delved into women's preferences for personalized digital health tools. The study emphasized that personalization isn't just a feature; it's a necessity for effective engagement. ✅ 𝐖𝐡𝐚𝐭 𝐖𝐨𝐫𝐤𝐞𝐝: ↳ 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐞𝐝 𝐌𝐞𝐬𝐬𝐚𝐠𝐢𝐧𝐠: Tailored messages, especially those addressing individual health goals and using the user's name, enhance motivation and reduce message fatigue. ↳ 𝐂𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐚𝐛𝐥𝐞 𝐍𝐨𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: Allowing users to set the frequency and timing of notifications led to higher notification interaction. ↳ 𝐔𝐬𝐞𝐫-𝐂𝐨𝐧𝐭𝐫𝐨𝐥𝐥𝐞𝐝 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬: Dashboards that women could customize to track metrics relevant to their evolving goals (e.g., during pregnancy or lifestyle changes) improved long-term adherence. ↳ 𝐀𝐞𝐬𝐭𝐡𝐞𝐭𝐢𝐜 𝐚𝐧𝐝 𝐃𝐢𝐬𝐜𝐫𝐞𝐞𝐭 𝐖𝐞𝐚𝐫𝐚𝐛𝐥𝐞𝐬: Sleek, stylish designs that could be worn discreetly encouraged consistent use, with some users viewing them as fashion accessories. ❌ 𝐖𝐡𝐚𝐭 𝐃𝐢𝐝𝐧'𝐭 𝐖𝐨𝐫𝐤: ↳ 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐈𝐬𝐬𝐮𝐞𝐬: Dependence on stable internet connections posed challenges, especially in areas with limited coverage, leading to decreased tool usage. ↳ 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐆𝐥𝐢𝐭𝐜𝐡𝐞𝐬: App crashes, slow loading times, and broken links frustrated users, diminishing trust and engagement. ↳ 𝐋𝐚𝐜𝐤 𝐨𝐟 𝐂𝐮𝐥𝐭𝐮𝐫𝐚𝐥 𝐑𝐞𝐥𝐞𝐯𝐚𝐧𝐜𝐞: Tools that didn't account for cultural dietary habits or language preferences were less effective and often abandoned. ↳ 𝐎𝐯𝐞𝐫𝐰𝐡𝐞𝐥𝐦𝐢𝐧𝐠 𝐃𝐚𝐭𝐚 𝐏𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧: Excessive or complex data without clear explanations made users feel overwhelmed, reducing the perceived usefulness of the tool. 📊 𝐄𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐁𝐨𝐨𝐬𝐭 𝐰𝐢𝐭𝐡 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Studies within this report indicated that 𝐩𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐟𝐞𝐚𝐭𝐮𝐫𝐞𝐬 𝐜𝐨𝐮𝐥𝐝 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐞 𝐮𝐬𝐞𝐫 𝐞𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐛𝐲 𝐮𝐩 𝐭𝐨 𝟒𝟎%. For instance, customizable notifications and personalized messaging significantly enhanced user interaction with health apps. Source: Journal of Medical Internet Research https://lnkd.in/d6-6czg3 💡 Tools that empower choice, respect preferences, and simplify data drive real engagement. What’s worked for you to boost retention? Looking forward to your insights in the comments below. 👋 I'm Dr. Michelle Frank, specializing in women's health advocacy. Connect with me to discuss how we can work together to overcome these societal barriers and improve women's healthcare autonomy. #DigitalHealth #WomensHealth #Personalization #HealthTech #UserEngagement #Innovation #CommunityManagement

AI Personalization, Privacy, and Pleasure: Getting the Trade-offs Right View My Portfolio. Personalization can boost comfort and adherence—but only when privacy, consent, and safety are engineered first. A practical framework for intimate AI • Data minimization: Collect the least necessary. Defaults: no account, local-only logs, clear toggles to disable. • On-device first: Run recommendations on-device where possible; sync only anonymized aggregates for opt-in users. • Transparent value exchange: Tell users exactly what they get (e.g., “better comfort settings in 2–3 sessions”) and what is never collected. • Consent as a workflow: Plain-language prompts at setup, re-consent after major updates, and one-tap data resets. • Guardrails: Hard caps on intensity/temperature, cooldowns to reduce receptor fatigue, and safe-word style stops for interactive modes. • Explainability: Replace “AI decided” with “We noticed you prefer lower frequency after 3 minutes—would you like to save this?” • Bias checks: Test across anatomy, age, and sensitivity ranges; track who benefits and who doesn’t, then adjust. • Secure by default: Encrypted storage, ephemeral session data, and short retention windows; no shadow analytics. Metrics that matter • Adherence: ≥60% 30-day follow-through without pushy notifications. • Comfort: ≥4/5 median comfort after 10 minutes of guided use. • Personalization lift: +15–25% fewer manual adjustments after week 2. • Privacy trust: <1% opt-out due to data concerns, measured via voluntary in-app survey. At V For Vibes, we curate and develop products that treat personalization as a clinical-grade feature: local-first intelligence, explicit consent, and transparent coaching—so users get better outcomes without sacrificing privacy. #SexTech #SexualWellness #AI #Personalization #PrivacyByDesign #HumanFactors #InclusiveDesign #DigitalHealth #ProductAnalytics #TrustAndSafety #VForVibes

Designing a Product Organization That Matches How Healthcare Actually Works Health tech product org design is different. You are not building a simple SaaS product. You are dealing with clinical workflows, billing complexity, integrations, and regulatory pressure all at once. I've led product teams of about 20 across PM, UX, and technical writing. Here is how I think about structuring it. 1. You need both strategic PMs and technical PMs These are not the same role. Strategic PMs focus on market problems, positioning, and outcomes. They work with executives, customers, and revenue leaders. Technical PMs or strong product analysts focus on execution detail. They manage integrations, data flows, and edge cases. If you try to force one profile to do both at a high level, you get gaps. Strategy without execution depth leads to missed requirements. Execution without strategy leads to local optimization. You need both, and you need clear ownership between them. 2. UX should report into product In health tech, workflows are the product. UX is not a support function. It is core to how clinicians and staff get work done. When UX reports outside of product, you see: • Disconnected design decisions • Late involvement in the development cycle • Less accountability for outcomes When UX sits within product, you get tighter alignment between problem, design, and delivery. The team stays focused on workflow outcomes, not only screens. 3. One PM per product sounds clean. It often breaks down Assigning a PM to a single product in a portfolio looks simple on an org chart. In practice, health tech products are deeply connected. EMR, billing, patient engagement, and integrations all overlap. Pros of single product ownership: • Clear accountability • Deep domain expertise • Strong ownership mindset Cons: • Siloed decisions across the portfolio • Missed cross product opportunities • Conflicting priorities at integration points What has worked better for me is a hybrid approach: • Anchor PMs to core domains, not isolated products • Define shared ownership areas where workflows cross products • Create strong coordination mechanisms across PMs The goal is simple. Align the team to how care is delivered, not how software is packaged. Org design in health tech is not about clean lines. It is about making sure complex workflows stay connected. That is where product teams either create leverage or create friction.