MedAI
Role: UX/UI Designer | Product Designer
Patients and caregivers often feel overwhelmed navigating healthcare—tracking medications, managing appointments, understanding treatments, and staying on top of health information.
How might we design an intuitive website that centralizes all healthcare needs—medications, appointments, health records, and wellness resources—while providing clear guidance and actionable reminders, thereby empowering users and caregivers to manage health with confidence and ease?
Imagine wanting to grow your own garden but feeling overwhelmed by where to start — from choosing the right seeds to finding organic supplies. I envisioned a place where everything a gardener needs could come together effortlessly.
Garden Hub began as a simple seed of inspiration: to create an app that nurtures not just plants, but also the passion for sustainable, organic gardening — making it easy, joyful, and accessible for everyone. This is the story of how that idea took root and began to grow.
Project background and personal journey
As someone deeply committed to making healthcare more accessible and manageable, my journey into creating Medai Healthcare Assistant began from a personal realization of how overwhelming it can be to stay on top of one’s health. From remembering medications and appointments to managing health records and understanding treatment options, I noticed that patients and caregivers alike often struggled without a centralized, reliable source of support. This inspired me to design a platform that simplifies healthcare management while providing clarity and peace of mind.
Grounded in user research and real-world healthcare challenges, I identified key pain points people face in their day-to-day medical routines and envisioned a solution that brings everything together in one place. Medai Healthcare Assistantwas designed not just as an app, but as a trusted companion—helping users organize medications, track appointments, access health information, and receive timely reminders through a simple, intuitive interface.
Medai Healthcare Assistant reflects my commitment to empowering individuals and caregivers to take control of their health with confidence. Every feature is crafted to reduce complexity, promote proactive care, and support healthier lifestyles—transforming healthcare management into a smoother, more reassuring experience.
Everything for your garden, all in one app!
From check-ups to wellness tips, your care, simplified.
PROBLEM
There’s a clear need for a comprehensive healthcare platform that not only consolidates medications, appointments, health records, and wellness resources but also empowers users and caregivers with practical guidance, simplifying the often overwhelming process of managing health.
Patients, caregivers, and families frequently struggle to find a single, efficient platform for their diverse healthcare needs. The current landscape is fragmented—medical records, appointment scheduling, medication tracking, and wellness advice are often scattered across multiple tools—leading to confusion and unnecessary stress.
Users, the heart of healthcare management, face challenges in accessing reliable information, staying on top of treatments, and coordinating care effectively. This scattered approach creates barriers, reducing adherence to health routines and discouraging proactive engagement in personal wellness.
Existing platforms often lack a user-centric, holistic approach, failing to integrate tracking, guidance, and educational resources in one seamless experience. This gap results in limited accessibility, reduced confidence in managing health, and missed opportunities for timely interventions.
A unified website that centralizes healthcare resources—medications, appointments, health records, and wellness guidance—while making health management simple, accessible, and empowering is conspicuously absent, highlighting a critical need for innovation in digital healthcare solutions.
This problem statement for Medai Healthcare Assistant emphasizes the necessity of an integrated, user-friendly healthcare platform and underscores the importance of accessibility, clarity, and proactive care—aligning with the broader mission of helping individuals and caregivers manage health with confidence and ease.
Research: Competitive & SWOT Analyses
SWOT Analysis — ABRIDGE
SWOT Analysis — SUKI AI
Abridge specializes in real-time transcription of clinician-patient conversations, transforming them into contextually aware, clinically useful, and billable AI-generated notes. Their platform is particularly beneficial for Epic EHR users, offering seamless integration and enhancing documentation efficiency. Abridge's Contextual Reasoning Engine dynamically integrates data from previous patient encounters, health system-specific guidelines, and clinician preferences to produce accurate notes. Additionally, their AI models intelligently recognize and group medical problems with language that aligns with appropriate billing codes, streamlining the revenue cycle process
Suki AI offers a robust suite of features, including ambient documentation, dictation, coding, order staging, patient summaries, and clinical Q&A, all within a unified platform. The platform boasts deep integration with major EHR systems like Epic, Oracle Health, Athenahealth, and MEDITECH, setting a high standard for EHR interoperability. Suki's hybrid AI strategy leverages proprietary speech recognition and intent extraction technology, along with various large language models (LLMs) for specific tasks, ensuring comprehensive support for clinicians' administrative needs
User Surveys & Interviews
Venturing into clinics, hospitals, and private practices, I sought first-hand insights from healthcare professionals ranging from primary care physicians to specialists. Engaging in open conversations and observing their workflows allowed me to validate assumptions with direct, qualitative feedback about their documentation struggles and time constraints.
Through this immersive approach, I uncovered critical insights that highlighted pain points across the clinical journey—from capturing accurate patient notes and managing EHR complexities to reducing the burden of administrative tasks. These interactions provided nuanced feedback, serving as the foundation for designing a user-centric solution that meaningfully supports clinicians while enhancing patient care.
User Survey Takeaways
Before initiating the survey, I designed targeted questions to uncover how clinicians currently manage documentation, the difficulties they encounter, and the type of support they expect from an AI-driven health assistant. The survey, which reached physicians, nurses, and administrative staff, revealed two consistent themes: the overwhelming time spent on manual documentation and the demand for seamless integration with existing EHR systems.
From the clinicians’ perspective, there was a strong emphasis on efficiency—having notes, summaries, and coding support available in one streamlined platform—while experienced practitioners highlighted the importance of accuracy, compliance, and adaptability to specialty-specific workflows. The findings underscored the frustrations caused by fragmented tools and repetitive tasks, while pointing to the clear opportunity for MedAI Health Assistant to deliver value by simplifying documentation, ensuring reliability, and enhancing overall care delivery.
Card Sorts & Affinity Mapping
Building on the survey insights, I conducted card sorting and affinity mapping sessions with healthcare professionals across different roles. These exercises uncovered how clinicians instinctively organized features such as documentation, coding, EHR integration, and patient summaries into logical workflows. The sessions also surfaced their expectations of an AI assistant—efficiency, accuracy, and compliance without adding extra steps.
By clustering recurring themes, I was able to identify both the functional priorities and the underlying emotional drivers, such as reducing burnout and regaining time with patients. These findings directly informed the structure and navigation of MedAI Health Assistant, ensuring the design aligns with real-world clinical needs while fostering trust and usability.
Meet the Users:
Personas, Task Flows, Journeys
To begin wireframing, I immersed myself in the day-to-day experiences of clinicians—shadowing patient visits, observing documentation practices, and engaging in discussions with physicians, nurses, and administrative staff.
By speaking directly with both early-career providers and seasoned specialists, I uncovered the realities of their challenges—balancing patient care with heavy documentation loads, navigating complex EHR systems, and striving for efficiency without compromising accuracy. These insights shaped detailed user personas for MedAI, which in turn informed task flows and user journeys that reflected authentic clinical routines.
This human-centered research revealed recurring needs and expectations, forming the foundation for a design that reduces administrative burden, restores focus on patient interaction, and builds trust through intuitive, reliable support.
User Persona - Patient
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Persona - Doctor
Exploration, Ideation:
1A & Wireframes
During the exploration and ideation phase for MedAI Health Assistant, my focus was on addressing the critical needs of both clinicians and patients — streamlined documentation, AI-powered visit summaries, and clear, accessible health information.
I mapped the journeys of Dr. Carter, a busy physician balancing heavy patient loads; John, a patient managing chronic conditions who often struggles with medical jargon; and Sophia, a caregiver who needs simple, shareable updates about her parent’s health. Key features identified included automated note generation, easy EHR integration, and patient-friendly summaries that break down complex terms into plain language.
Based on these insights, I sketched early design concepts that evolved into structured wireframes for MedAI, creating a foundation for an intuitive assistant that supports clinicians in their workflow while empowering patients with clarity and confidence in their care.
In the ideation phase for MedAI, I focused on features that would streamline clinical documentation and enhance patient understanding—helping clinicians save time while keeping patients informed.
I mapped the user journeys for Dr. Emily, a busy physician managing multiple patient visits, and Emily Johnson, a patient seeking clear summaries and guidance after appointments. Core to the app’s design was a personalized dashboard for Dr. Emily, highlighting upcoming appointments, AI-assisted note-taking, and follow-up reminders. Features for patients included concise visit summaries, medication instructions, and actionable health tips.
Using these insights, I created wireframes that emphasized smooth navigation and clear prioritization of clinical tasks and patient information. These wireframes evolved into mid-fidelity prototypes, refined through iterative feedback from clinicians and patients, ensuring the experience was intuitive, efficient, and supportive. The prototypes acted as a blueprint, illustrating MedAI’s structure, key interaction points, and seamless flow for both doctors and patients.
MEDAI taught me
MedAI has been a journey of innovation and problem-solving, evolving from the idea of reducing clinician workload and improving patient understanding into a comprehensive AI-powered healthcare assistant. The project, undertaken independently, was guided entirely by understanding the needs of both clinicians and patients—doctors seeking efficient documentation, nurses managing follow-ups, and patients like Emily Johnson wanting clear, actionable visit summaries. Their insights became the foundation for the design, ensuring the app genuinely supports users in delivering and receiving care.
As a solo project, my design philosophy centered on empathy, usability, and intelligent automation. I devoted time to understanding the workflows, pain points, and motivations of users, shaping features that incorporate AI in meaningful ways—such as voice-assisted note-taking for clinicians, AI-generated visit summaries for patients, and automated reminders for follow-ups and medications. The satisfaction of creating a solution that balances human-centered design with AI-enhanced efficiency reinforced the importance of designing thoughtfully for technology integration and strengthened my skills in research, ideation, and end-to-end product design.
