MediWait+ is an AI-powered system that makes waiting rooms smarter. It uses AI video tools and real-time patient feedback to automatically show the right content at the right time. This helps doctors keep patients calm and informed without any extra work.
Project Overview
Role: Lead Product Designer (AI Strategy & Systems)
The Product: MediWait+ transforms the stressful waiting room into a smart educational space. I designed a system that uses AI video tools and real-time patient feedback to automatically keep patients calm and engaged.
Responsibilities: Product Vision & Strategy, AI Interaction Logic, User Flow & Information Architecture, UX/UI Design.
Transforming the Doctor’s Waiting Room Experience with AI
The Problem
Doctors’ waiting rooms often have passive, outdated, or irrelevant content, leading to missed opportunities for patient education and engagement. Healthcare providers needed a dynamic, customizable solution to:
- Educate patients about symptoms, conditions, and treatments.
- Showcase practice initiatives and health campaigns.
- Provide interactive elements (QR codes, polls) to encourage patient participation.
The Solution, an AI Assistant for Your Practice
MediWait+ acts like a digital assistant that understands a doctor’s office in real-time.
- AI-Generated Videos: doctors can type a simple idea and the AI builds a professional video in seconds.
- Proactive AI Recommendations: The system doesn’t just show data; it notices when wait times are high and suggests switching to “Calm Mode” to lower patient anxiety.
- Smart Patient Feedback: As patients use QR codes to share how they feel, the AI learns what content works best and automatically improves the “vibe” of the room.
Design Showcase: Bringing MediWait+ to Life
Dashboard
I designed the MediWait+ dashboard to provide doctors with a comprehensive overview of their waiting room digital signage. The dashboard offers a data-driven, user-friendly interface, enabling healthcare providers to manage content effortlessly while tracking patient engagement in real time.
Key Features:
Smart AI Recommendations: The “Hero” of the dashboard. It monitors wait times and patient mood, then suggests the best content to show right now to keep patients calm.
Analytics Overview – High-level insights with charts and visualizations showing patient interactions, content engagement, and screen activity.
Active Screens – Monitor and manage all waiting room displays in real time.
Playlist Report – Understand which content resonates most with patients through QR code scans, poll responses, and watch duration metrics.
The dashboard is designed for efficiency and ease of use, allowing doctors to enhance patient education and experience with minimal effort.
Content Management
This is the creative heart of MediWait+. I designed it to remove the technical barriers of video production, allowing doctors to go from a simple idea to a high-quality video in minutes.
Key Features:
- AI Studio (The Fast Path): The primary tool for busy staff. Doctors can type a clinical goal, and the AI generates three cinematic storyboards to choose from, saving hours of manual work.
- Scene-by-Scene Editor: For those who want more control, I designed a modular editor. It allows users to refine AI-generated drafts, lock specific visuals, and swap out text while the AI handles the timing and motion.
- Smart Media Library: A unified library that uses AI to organize assets. Doctors can search for content by “mood” or “vibe” (like Calming or Educational) rather than just searching for filenames.
- One-Click Templates: A collection of pre-made layouts that “auto-brand.” When a doctor picks a template, the AI instantly applies the clinic’s colors and fonts to ensure a professional look.
Screen Management
The Screen Management UI provides doctors with a seamless way to add, edit, and organize screens across their practice. With an intuitive interface, they can assign playlists to specific TVs, ensuring the right content reaches the right audience.
Patient Engagement
The Patient Engagement feature enhances the waiting room experience by allowing patients to interact with content through polls and QR codes. Doctors can create custom polls to gather patient feedback in real time, helping to improve services and address patient concerns. Additionally, QR codes linked to educational resources enable patients to learn more about symptoms, conditions, and treatment options on their smartphones, extending the value of in-office content beyond their visit.
Impact & Learnings
Designing for healthcare requires balancing information clarity & engagement. Interactivity drives patient participation, even in passive environments. Doctors prefer automation ,so simplifying content management was key.
- Reducing the “Blank Canvas” Anxiety: I learned that doctors aren’t video editors; they are busy caregivers. By moving from manual tools to an AI-first workflow, I reduced the time it takes to create a video from 45 minutes to just a few clicks.
- Data with a Purpose: I realized that data is only useful if it leads to action. Instead of just showing “Wait Times,” I designed the AI to offer a solution like a “Smart Recommendation” to change the room’s mood which directly lowers patient stress.
- The Importance of Human Control: Even with powerful AI, doctors need to feel in charge. Designing “Human-in-the-loop” features like the Edit Draft button ensured the AI felt like a helpful assistant, not a replacement.
My Design Process
Seeing these results was only possible because of a design process focused on human-centered AI and technical guardrails. Here is how I built the logic behind MediWait+
Research & Discovery
- Competitive Analysis: Studied traditional signage and current AI creative tools to find the gaps in healthcare.
- User Interviews: Talked to doctors to understand their daily “waitroom pressure” and where they felt overwhelmed.
- Identifying AI Opportunities: Found that doctors wanted to share info but lacked the time to create content, making this a perfect use case for generative AI.
System Logic & Wireframing
- Defining the AI Flow: mapped out how the “Co-pilot” should act when wait times spike.
- Bimodal Information Architecture: Organized the app so doctors could choose between “Fast AI Creation” or “Manual Control”.
- Prototyping Human-in-the-Loop: Designed the “Confirm/Refine” screens to ensure doctors always have the final say over AI content.
UI Design & AI Testing
- High-Fidelity Prototyping: Built a clean, professional interface that makes complex AI tools feel as simple as a search bar.
- Motion & Tone Design: Used my background in VFX to create “Mood Toggles” that let doctors change the vibe of a video instantly.
- Accessibility First: Ensured that AI-generated text is easy to read and follows medical safety standards.
Usability Testing & Iteration
- Feedback Sessions: Tested the AI Studio with medical staff to see if the “Prompt-to-Video” results matched their needs.
- Refining the “Magic”: Improved the speed and quality of the AI recommendations based on real-world waiting room data.