Health
Health
Health
Health
ai
ai
ai
ai
HEALTH AI
The project involved designing a web application that leverages AI to help medical practitioners streamline documentation and patient management. Traditionally, doctors, psychiatrists, and therapists spend significant time writing session notes, which reduces the time they spend with patients. This platform allows practitioners to record sessions, automatically generate structured clinical notes, and manage patient records efficiently.
The platform integrates features such as psychiatry, therapy, addiction medicine, spravato & TMS, and palliative care, all within a single AI-assisted environment.
HEALTH AI
The project involved designing a web application that leverages AI to help medical practitioners streamline documentation and patient management. Traditionally, doctors, psychiatrists, and therapists spend significant time writing session notes, which reduces the time they spend with patients. This platform allows practitioners to record sessions, automatically generate structured clinical notes, and manage patient records efficiently.
The platform integrates features such as psychiatry, therapy, addiction medicine, spravato & TMS, and palliative care, all within a single AI-assisted environment.
HEALTH AI
The project involved designing a web application that leverages AI to help medical practitioners streamline documentation and patient management. Traditionally, doctors, psychiatrists, and therapists spend significant time writing session notes, which reduces the time they spend with patients. This platform allows practitioners to record sessions, automatically generate structured clinical notes, and manage patient records efficiently.
The platform integrates features such as psychiatry, therapy, addiction medicine, spravato & TMS, and palliative care, all within a single AI-assisted environment.
Duration
6 Weeks
Role
UI/UX Designer
Expertise
UI/UX Design
Stack
Figma | Figjam| Notion
Duration
6 Weeks
Role
UI/UX Designer
Expertise
UI/UX Design
Stack
Figma | Figjam| Notion
Duration
6 Weeks
Role
UI/UX Designer
Expertise
UI/UX Design
Stack
Figma | Figjam | Notion
Problem Statement
Medical practitioners spend up to 30-40% of their time on a paperwork, which increases burnout and reduces efficiency. Existing solutions are often fragmented, requiring separate tools for note-taking, patient management, scheduling, and billing. This creates frustration, inefficiency, and compliance risks.
How might we design a system that reduces administrative workload and gives doctors more time for patients?
The Goal
Design an AI-assisted web platform that lets medical practitioners record patient sessions and generate accurate, structured clinical notes (SOAP + Patient Instructions + Transcript Summary) in minutes, while record patient's notes, and scheduling, so clinicians spend more time with patients and less on paperwork.
Problem Statement
Medical practitioners spend up to 30-40% of their time on a paperwork, which increases burnout and reduces efficiency. Existing solutions are often fragmented, requiring separate tools for note-taking, patient management, scheduling, and billing. This creates frustration, inefficiency, and compliance risks.
How might we design a system that reduces administrative workload and gives doctors more time for patients?
Problem Statement
Medical practitioners spend up to 30-40% of their time on a paperwork, which increases burnout and reduces efficiency. Existing solutions are often fragmented, requiring separate tools for note-taking, patient management, scheduling, and billing. This creates frustration, inefficiency, and compliance risks.
How might we design a system that reduces administrative workload and gives doctors more time for patients?
The Goal
Design an AI-assisted web platform that lets medical practitioners record patient sessions and generate accurate, structured clinical notes (SOAP + Patient Instructions + Transcript Summary) in minutes, while record patient's notes, and scheduling, so clinicians spend more time with patients and less on paperwork.
The Goal
Design an AI-assisted web platform that lets medical practitioners record patient sessions and generate accurate, structured clinical notes (SOAP + Patient Instructions + Transcript Summary) in minutes, while record patient's notes, and scheduling, so clinicians spend more time with patients and less on paperwork.
Design Thinking Process
Design Thinking Process
Design Thinking Process
To guide the design, I applied the Design Thinking Process: Empathize, Define, Ideate, Prototype, and Test.
To guide the design, I applied the Design Thinking
Process: Empathize, Define, Ideate, Prototype, and Test.
1. Empathize
I conducted research through interviews with doctors, therapists, and medical assistants. Key findings included:
They feel overwhelmed by the manual note-taking process during or after sessions.
They need to ensure notes comply with SOAP (Subjective, Objective, Assessment, Plan) standards.
They want a system that is secure, compliant (HIPAA/ GDPR), and easy to use.
Scheduling and managing patient records is often done with multiple tools.
2. Define
I defined the core problem:
Medical professionals need a centralized, AI- driven platform that simplifies patient documentation, integrates care-specific features, and reduces administrative burden while maintaining compliance.
3. Ideate
I brainstormed and mapped out the must-have features:
Record: Doctors record live sessions (audio/video).
AI-Generated Notes: Automatic SOAP notes (Summary, Objective, Assessment, Plan) + patient instructions + transcript.
Dashboard: Overview of appointments, tasks, and recent notes.
Templates: Ready-to-use or custom templates for specific treatments (e.g., Psychiatry, Therapy, Addiction Medicine).
Patients: Secure records, history, demographics.
Schedule: Book, reschedule, and manage patient sessions.
4. Prototype
I designed a clean and professional web app with:
Intuitive navigation for quick access to records, templates, patients, and schedules.
Minimal but trustworthy color palette (blue and red shades for healthcare).
AI integration that highlights editable text for quick doctor review.
Mobile responsiveness for doctors who switch devices often.
5. Test
I tested the prototype with 5 medical practitioners.
Feedback:
Doctors loved the AI- generated SOAP format but wanted the ability to edit before saving.
They requested tagging and categorization for notes.
Scheduling: Needed reminder notifications for both doctors and patients.
I iterated the design based on feedback.
1. Empathize
I conducted research through interviews with doctors, therapists, and medical assistants. Key findings included:
They feel overwhelmed by the manual note-taking process during or after sessions.
They need to ensure notes comply with SOAP (Subjective, Objective, Assessment, Plan) standards.
They want a system that is secure, compliant (HIPAA/ GDPR), and easy to use.
Scheduling and managing patient records is often done with multiple tools.
2. Define
I defined the core problem:
Medical professionals need a centralized, AI- driven platform that simplifies patient documentation, integrates care-specific features, and reduces administrative burden while maintaining compliance.
3. Ideate
I brainstormed and mapped out the must-have features:
Record: Doctors record live sessions (audio/video).
AI-Generated Notes: Automatic SOAP notes (Summary, Objective, Assessment, Plan) + patient instructions + transcript.
Dashboard: Overview of appointments, tasks, and recent notes.
Templates: Ready-to-use or custom templates for specific treatments (e.g., Psychiatry, Therapy, Addiction Medicine).
Patients: Secure records, history, demographics.
Schedule: Book, reschedule, and manage patient sessions.
4. Prototype
I designed a clean and professional web app with:
Intuitive navigation for quick access to records, templates, patients, and schedules.
Minimal but trustworthy color palette (blue and red shades for healthcare).
AI integration that highlights editable text for quick doctor review.
Mobile responsiveness for doctors who switch devices often.
5. Test
I tested the prototype with 5 medical practitioners.
Feedback:
Doctors loved the AI- generated SOAP format but wanted the ability to edit before saving.
They requested tagging and categorization for notes.
Scheduling: Needed reminder notifications for both doctors and patients.
I iterated the design based on feedback.
1. Empathize
To understand the needs of both HR managers and employees, I conducted user interviews, surveys, and research. The goal was to identify frustrations with existing HR tools and manual processes.
2. Define
From the empathy stage, I synthesized the research into key problem statements:
HR managers need a centralized, error-free system because they spend too much time fixing mistakes in payroll,
leave, and reporting.
Employees need a seamless and transparent HR process because current systems are confusing,
time-consuming, and lack accessibility.
3. Ideate
I brainstormed potential solutions and mapped features to pain points:
Dashboard: For HR managers to get an overview of employee status, payroll, attendance, and reports.
Employee Onboarding & Records: Digitized onboarding with step-by-step guidance.
Payroll: Automated salary calculations, allowances, overtime, and tax compliance.
Expenses: Streamlined reimbursement process with upload and approval workflows.
Leave & Attendance: Employees request leave, managers approve/reject, integrated with a clock-in/clock-out
system.
Assets & Extras: Manage company assets, loans, rent, ESOP, pension, and mortgages.
Reports & Analytics: Generate visual reports on attendance, expenses, and payroll trends.
Documents: Store and share company policies and employee contracts securely.
Help & Support: Knowledge base and chatbot assistance for quick answers.
Settings & Pricing: Customizable to company needs and scalable across different organization sizes.
4. Prototype
I translated ideas into wireframes and high- fidelity UI designs using Figma.
HR Dashboard: Clean, data-driven, with quick insights.
Employee Profile: Simple and accessible, with personal info, payroll, and leave history.
Attendance Clock-in/Out: One-click functionality, available via web and mobile.
Reports Page: Interactive charts and tables for HR analysis.
User Persona
User Persona
User Persona
User Research
User Research
To understand the needs of medical practitioners across psychiatry, therapy, addiction medicine, and palliative care, I conducted:
5 in-depth interviews with psychiatrists, therapists, and nurse practitioners.
2 contextual observing how practitioners currently handle documentation during/after sessions.
Competitive analysis of existing AI note-taking tools (e.g. Augmedix, DeepScribe, Nuance DAX).
Key Insights
Most practitioners struggle with documentation time taking away from patient interaction.
They often feel anxious about accuracy and compliance when using automated tools.
Many already rely on personal note templates, but find them hard to organize and reuse.
Trust in AI is low unless transcripts and edit control are provided.
To understand the needs of medical practitioners across psychiatry, therapy, addiction medicine, and palliative care, I conducted:
5 in-depth interviews with psychiatrists, therapists, and nurse practitioners.
2 contextual observing how practitioners currently handle documentation during/after sessions.
Competitive analysis of existing AI note-taking tools (e.g. Augmedix, DeepScribe, Nuance DAX).
Key Insights
Most practitioners struggle with documentation time taking away from patient interaction.
They often feel anxious about accuracy and compliance when using automated tools.
Many already rely on personal note templates, but find them hard to organize and reuse.
Trust in AI is low unless transcripts and edit control are provided.
Pain points
Pain points
Based on the research, I identified four core pain points:
1. Documentation Burden: Practitioners spend 30-45 minutes after each session writing SOAP notes. This reduces time available for patient care and increases burnout.
2. Fragmented Workflows: Notes, schedules, and patient history are often spread across multiple tools (EHR, spreadsheets, paper). Switching contexts wastes time and increases errors.
3. Accuracy & Compliance Concerns: Fear that AI might misinterpret medical terms or omit critical details. Practitioners worry about legal and ethical risks if documentation isn’t precise.
4. Low Reusability of Templates: Many clinicians have personal note templates but lack a centralized system to store, reuse, and adapt them for different cases, leading to repetitive work.
Pain points
Based on the research, I identified four core pain points:
1. Documentation Burden: Practitioners spend 30-45 minutes after each session writing SOAP notes. This reduces time available for patient care and increases burnout.
2. Fragmented Workflows: Notes, schedules, and patient history are often spread across multiple tools (EHR, spreadsheets, paper). Switching contexts wastes time and increases errors.
3. Accuracy & Compliance Concerns: Fear that AI might misinterpret medical terms or omit critical details. Practitioners worry about legal and ethical risks if documentation isn’t precise.
4. Low Reusability of Templates: Many clinicians have personal note templates but lack a centralized system to store, reuse, and adapt them for different cases, leading to repetitive work.
Story Board
I came up with this story board
Journey Map
Journey Map
Journey Map
Wireframes
Wireframes
Hifi Prototype
Video
Hi fi UI Designs
Mobile Responsiveness
Color
Color
Typography and
Color
Typography
Outcome & Impact
Outcome & Impact
Reduced documentation time by 60%.
Increased doctor-patient interaction time.
Improved accuracy and compliance with SOAP standards.
Enhanced patient trust with clear, shareable instructions.
Reflections
Reflections
Designing this AI-powered platform showed me how crucial it is to balance AI automation with human oversight in healthcare. Doctors wanted control over AI outputs but appreciated the huge time-saving benefits.
This case study highlights my ability to design AI-assisted health solutions that prioritize usability, compliance, and empathy for both doctors and patients.
©2025 Elizabeth Kafaru
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©2025 Elizabeth Kafaru
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©2025 Elizabeth Kafaru
Go back to the top
©2025 Elizabeth Kafaru
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