{"id":126,"date":"2024-08-06T01:23:03","date_gmt":"2024-08-06T04:23:03","guid":{"rendered":"https:\/\/brunopavani.com\/?page_id=126"},"modified":"2026-03-02T12:32:28","modified_gmt":"2026-03-02T15:32:28","slug":"how-to-develop-an-e-commerce-for-multiple-innovative-products","status":"publish","type":"page","link":"https:\/\/brunopavani.com\/?page_id=126","title":{"rendered":"Lumia IA \u2014 Clinical AI Assistant"},"content":{"rendered":"\n<p>Designing a human-centered clinical decision support experience grounded in physician research and AI safety requirements<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Project Snapshot<\/h3>\n\n\n\n<p><strong>Product:<\/strong> Lumia IA \u2014 clinical decision support assistant (concept-to-design)<\/p>\n\n\n\n<p><strong>Timeline:<\/strong> Dec 2025 \u2013 Jan 2026<\/p>\n\n\n\n<p><strong>Role:<\/strong> Lead UX\/UI Designer (end-to-end)<\/p>\n\n\n\n<p><strong>Stakeholders:<\/strong> AI specialists (requesters) + practicing physicians (interviews\/feedback)<\/p>\n\n\n\n<p><strong>Scope (What I designed):<\/strong> trust-first UI (sources\/confidence\/limitations), review-and-confirm workflow, auditability, safe language, reusable patterns for scalability<\/p>\n\n\n\n<p><strong>Outcomes (validation, illustrative):<\/strong> ~25\u201330% faster time-to-orientation; +15\u201320% perceived trust uplift<\/p>\n\n\n\n<p><strong>Confidentiality:<\/strong> Concept + early validation; metrics illustrative.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Summary<\/h3>\n\n\n\n<p>Lumia IA is a concept-to-design initiative for a clinical AI assistant aimed at helping physicians confirm diagnoses faster, reduce cognitive overload, and keep the clinical decision process clearly human-led. The project started with a key tension: clinicians want speed and clarity, while AI specialists require safety, transparency, and auditability.<\/p>\n\n\n\n<p>I led the UX\/UI work end-to-end, combining discovery interviews with physicians and AI specialists, defining the product experience principles, and designing an interface that supports decision-making without positioning AI as \u201cinfallible.\u201d The result was a cohesive experience direction and a set of approved layouts ready for validation and iteration.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Context<\/h3>\n\n\n\n<p>Clinical workflows are time-constrained and high-stakes. Physicians routinely deal with incomplete information, shifting hypotheses, and the need to justify decisions. In this environment, an AI assistant must be designed as <strong>decision support<\/strong>, not decision replacement\u2014making sources, confidence, and limitations explicit while fitting naturally into how doctors think and document.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">My Role<\/h3>\n\n\n\n<p>Lead UX\/UI Designer working with the AI specialists who requested the project and interviewing practicing physicians to ground the product in real workflow needs.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">The problem<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Physicians were overloaded by scattered information and time pressure during case review<\/li>\n\n\n\n<li>\u201cAI suggestions\u201d without context can reduce trust and adoption<\/li>\n\n\n\n<li>The product needed to balance speed with governance: transparency, traceability, and safe language<\/li>\n\n\n\n<li>The experience needed to remain human, clinical, and calm\u2014avoiding \u201cmagic AI\u201d framing<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Goals<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Design a workflow that helps clinicians <strong>confirm<\/strong> a diagnostic direction faster<\/li>\n\n\n\n<li>Make reasoning transparent: evidence, confidence, and \u201cwhy this suggestion\u201d<\/li>\n\n\n\n<li>Reduce friction: fewer clicks to reach decision-critical info<\/li>\n\n\n\n<li>Support auditability and accountability (what was suggested, what was accepted, what was rejected, and why)<\/li>\n\n\n\n<li>Create an experience foundation that can evolve with model improvements without breaking trust<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Constraints and approach<\/h3>\n\n\n\n<p>The project needed to move quickly while staying credible to two audiences with different expectations: clinicians and AI stakeholders.<\/p>\n\n\n\n<p>Key decisions:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Treat trust as a product feature: sources, confidence, and limitations are part of the UI<\/li>\n\n\n\n<li>Keep the clinician in control: \u201creview and confirm\u201d interaction pattern<\/li>\n\n\n\n<li>Design for real clinical rhythm: skim \u2192 focus \u2192 verify \u2192 document<\/li>\n\n\n\n<li>Avoid prohibited language and unrealistic claims (no \u201cinfallible,\u201d no \u201cautomatic diagnosis\u201d)<\/li>\n\n\n\n<li>Build for future scalability via reusable patterns and a clear information hierarchy<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Discovery and research<\/h3>\n\n\n\n<p>I grounded the design in two perspectives:<\/p>\n\n\n\n<p><strong>Physician interviews<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Interviewed physicians to understand how they confirm diagnoses, where they lose time, and what would make an assistant genuinely usable.<\/li>\n\n\n\n<li>Key themes (illustrative but realistic):\n<ul class=\"wp-block-list\">\n<li>Fast access to the \u201cwhy\u201d matters more than the final answer<\/li>\n\n\n\n<li>Clear separation between <em>patient facts<\/em> vs <em>AI interpretation<\/em> builds trust<\/li>\n\n\n\n<li>Doctors want assistance with summarization, differential hypotheses, and red flags\u2014while keeping authorship of the decision<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<p><strong>AI specialist interviews (project requesters)<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Interviewed AI specialists to define constraints for safety, explainability, and responsible use.<\/li>\n\n\n\n<li>Key themes:\n<ul class=\"wp-block-list\">\n<li>Traceability is required for internal review and governance<\/li>\n\n\n\n<li>Confidence must be communicated carefully (avoid false certainty)<\/li>\n\n\n\n<li>The interface needs structured feedback loops to improve model behavior safely<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Key improvements (iteration highlights)<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">1) A clinician-first information hierarchy<\/h4>\n\n\n\n<p>Designed screens to prioritize what clinicians need in sequence:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Patient overview<\/strong> (high-signal summary, timeline, key vitals\/labs)<\/li>\n\n\n\n<li><strong>Clinical flags<\/strong> (risk triggers + missing critical info)<\/li>\n\n\n\n<li><strong>Differential suggestions<\/strong> presented as hypotheses, not conclusions<\/li>\n\n\n\n<li><strong>Evidence panel<\/strong> with sources and rationale (what data contributed)<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">2) Transparent \u201csuggestion\u201d model with controlled language<\/h4>\n\n\n\n<p>To prevent over-trust and reduce friction in review:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Suggestions shown with confidence as <strong>ranges \/ tiers<\/strong> (not absolute claims)<\/li>\n\n\n\n<li>Explicit \u201creasons\u201d and evidence links visible at decision time<\/li>\n\n\n\n<li>Clear disclaimers and interaction copy reinforcing human accountability<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">3) A review-and-confirm workflow that matches clinical decision-making<\/h4>\n\n\n\n<p>Instead of \u201caccepting AI outputs,\u201d the flow supports:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Compare hypotheses quickly<\/li>\n\n\n\n<li>Validate evidence and missing data<\/li>\n\n\n\n<li>Record a clinician decision with a short rationale<\/li>\n\n\n\n<li>Export\/share a structured summary suitable for documentation<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">4) Feedback loop designed for safety and iteration<\/h4>\n\n\n\n<p>Designed lightweight feedback moments that do not interrupt workflow:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u201cHelpful \/ not helpful\u201d with optional structured reasons<\/li>\n\n\n\n<li>Ability to flag problematic suggestions<\/li>\n\n\n\n<li>Capturing intent without demanding long forms from clinicians<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">5) Visual system aligned to clinical trust + human warmth<\/h4>\n\n\n\n<p>Applied the Lumia visual direction (clean, minimal, humanized tech):<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Calm hierarchy, restrained color usage, soft gradients and curves<\/li>\n\n\n\n<li>Avoided \u201csci-fi AI\u201d aesthetics<\/li>\n\n\n\n<li>Ensured the UI feels clinical and dependable, not experimental<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Approved layout<\/h3>\n\n\n\n<p>Final layouts designed by me, reviewed with AI specialists and validated through physician feedback sessions.<\/p>\n\n\n\n<iframe style=\"border: 1px solid rgba(0, 0, 0, 0.1);\" width=\"800\" height=\"450\" src=\"https:\/\/embed.figma.com\/proto\/Z3zpJcPvprOAaXAMlVef6j\/Lumia---Layout-IA?page-id=0%3A1&#038;node-id=1-2&#038;viewport=25%2C246%2C0.23&#038;scaling=contain&#038;content-scaling=fixed&#038;starting-point-node-id=1%3A2&#038;embed-host=share\" allowfullscreen><\/iframe>\n\n\n\n<h3 class=\"wp-block-heading\">Outcomes<\/h3>\n\n\n\n<p>Based on validation sessions and early prototype feedback:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Physicians completed \u201ccase understanding \u2192 decision direction\u201d faster (illustrative: <strong>~25\u201330%<\/strong> reduction in time-to-orientation)<\/li>\n\n\n\n<li>Higher reported confidence when evidence and limitations were visible (illustrative: <strong>+15\u201320%<\/strong> uplift in perceived trust)<\/li>\n\n\n\n<li>Reduced clarification cycles with stakeholders due to explicit states, structured rationale, and audit-ready history (illustrative: fewer back-and-forths during review)<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">What this demonstrates<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Product-led UX in a high-stakes domain balancing speed with governance<\/li>\n\n\n\n<li>Ability to integrate stakeholder constraints (AI safety) with real user needs (clinicians)<\/li>\n\n\n\n<li>Strong focus on trust primitives: explainability, traceability, and controlled language<\/li>\n\n\n\n<li>Designing for adoption: workflow fit, minimal friction, and clear accountability<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Next steps<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Run a broader round of usability tests with more specialties and contexts<\/li>\n\n\n\n<li>Validate documentation\/export flows against real clinical note requirements<\/li>\n\n\n\n<li>Define success metrics for a pilot (time-to-orientation, adoption, disagreement rate, feedback quality)<\/li>\n\n\n\n<li>Prepare a scalable design system for additional modules (labs, imaging summaries, integration points)<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Designing a human-centered clinical decision support experience grounded in physician research and AI safety requirements Project Snapshot Product: Lumia IA \u2014 clinical decision support assistant (concept-to-design) Timeline: Dec 2025 \u2013 Jan 2026 Role: Lead UX\/UI Designer (end-to-end) Stakeholders: AI specialists (requesters) + practicing physicians (interviews\/feedback) Scope (What I designed): trust-first UI (sources\/confidence\/limitations), review-and-confirm workflow, auditability, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-126","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/brunopavani.com\/index.php?rest_route=\/wp\/v2\/pages\/126","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/brunopavani.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/brunopavani.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/brunopavani.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/brunopavani.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=126"}],"version-history":[{"count":4,"href":"https:\/\/brunopavani.com\/index.php?rest_route=\/wp\/v2\/pages\/126\/revisions"}],"predecessor-version":[{"id":366,"href":"https:\/\/brunopavani.com\/index.php?rest_route=\/wp\/v2\/pages\/126\/revisions\/366"}],"wp:attachment":[{"href":"https:\/\/brunopavani.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=126"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}