Smarter Hospital System Design for Early Disease Prevention
Transforming healthcare with AI to reveal hidden risks for enhanced patient care
Industry
Health and Technology
Timeframe
1 Year with implement
Team
Business, Product, Innovation, Developer
Role
UX Research, IA, Wireframing, UI Design
INTRODUCTION & PROBLEM
Thailand is facing a crisis.
​Millions in Thailand suffer from preventable NCDs like diabetes and hypertension. Doctors lack time, and patients lack awareness.
My role? Designing an AI-powered system that helps doctors detect risks early and empowers patients to take action before it's too late.
PROCESS OVERVIEW
User-centered solutions for better healthcare efficiency and outcomes.
Design thinking ensures we create solutions that address real user needs, improving healthcare efficiency and outcomes.
Empathize
Research needs of doctors, nurses, patients,
business team
Define
Clarify barriers to early disease detection and intervention
Ideate
Brainstorm solutions
with stakeholders
Prototype
Design wireframes, IA, and UI
Test
Validate with real user feedback and iterate
EMPATHIZE: UNDERSTAND THE PROBLEMS
Gain real insight with all stakeholders
We researched and interviewed all stakeholders involved in the project: founders, doctors, nurses, patients, and the business, technology, and innovation teams to find out their problems and needs
Research Method: Affinity Diagram
UX Research Canvas
Research Method: User Interviews
Doctor
Goal
-
Understand the doctor’s workflow in managing chronic diseases and identify barriers to efficiency.
Reseach question
-
How do you currently track and follow up with patients?
-
How do you explain complex health info to patients?
-
How do you currently track and follow up with patients?
Patient
Goal
-
Understand the patient experience and identify barriers to understanding and following treatment plans.
Reseach question
-
What challenges do you face when you see the doctor or nurse
-
How do you receive and understand health information?
-
How do you prefer to receive health information about your condition and treatment options?
Nurse
Goal
-
Explore the nurse's role in assessments and patient communication to improve workflow efficiency.
Reseach question
-
How do you communicate health status to patients?
-
How do you currently monitor patient progress?
-
What tasks are most time-consuming during patient assessments?
Business Team
Goal
-
Understand the business team's goals for improving hospital efficiency and adopting new technologies.
Reseach question
-
What are the main business goals for implementing this hospital system?
-
What barriers do you face in adopting new technologies within the hospital?
Dr.Kasem, 44 years old
Doctor
An experienced internal medicine specialist managing chronic diseases, he sees 40–50 patients daily. He values prevention but struggles with time constraints and outdated systems.
Tech Proficiency
"I want patients to understand their risks and how to adjust their behavior, but there’s too much information, And they often don’t get it"
Goal
Inform the patient about the factors contributing to risk and methods for behavior modification to reduce it.
Frustrations (Pain Points)
There is too much information to convey, and patients might
not understand it.
Motivation
Passionate about preventive care, using AI-driven insights for better decisions, and reducing hospital overload through early intervention.
Expectation
Real-time reports on patient outcomes and hospital efficiency.
Ms.Somporn, 48 years old
Head Nurse
An experienced internal medicine specialist managing chronic diseases, he sees 40–50 patients daily. He values prevention but struggles with time constraints and outdated systems.
Tech Proficiency
"Another problem is Patients often ignore medical advice, leading to worsened conditions and unnecessary repeat treatments."
Goal
Enable faster risk screening, improve patient compliance, enhance doctor coordination, and streamline documentation for better efficiency.
Frustrations (Pain Points)
overwhelmed with paperwork and patient load, struggles with communication gaps, and finds it frustrating when patients don’t follow medical advice.
Motivation
Advocates for patients, values AI for reducing errors, and seeks a system that enhances teamwork and efficiency.
Expectation
The system should be simple, mobile-friendly, and visually intuitive, providing clear risk scores and automated patient education.
MS.Sukpimon, 53 years old
Office Worker
She is an office administrator with a sedentary routine. she dismisses symptoms and rarely gets check-ups, believing that feeling fine means being healthy. she remains unaware of her personal risk.
Tech Proficiency
I need a simple, clear system to track my blood sugar and blood pressure, with easy-to-understand advice for daily life. and avoid complex medical terms"
Goal
Enable faster risk screening, improve patient compliance, enhance doctor coordination, and streamline documentation for better efficiency.
Frustrations (Pain Points)
overwhelmed by confusing health data like blood sugar and blood pressure numbers, and struggle with too much online advice.
Motivation
The system should provide clear, personalized health risks and simple daily actions, with easy smartphone integration and reassurance to keep her on track without overwhelming medical terms.
Expectation
Stay healthy as she ages, preferring simple, natural lifestyle changes over medication, and values clear, easy-to-understand health advice.
Company
Business Team
She is a business development at an AI healthcare startup, working with diverse teams to align their solutions with hospital needs, tackling business, regulatory, and adoption challenges.
Tech Proficiency
"We aim to partner with hospitals and insurers to offer AI-driven risk prevention,
driving meaningful change in Thailand's healthcare."
Goal
To scale the project, need to partner with hospitals, clinics, and insurance companies to offer AI-driven risk prevention services.
Frustrations (Pain Points)
Struggles with complex data, doctor resistance, fragmented IT systems, slow approvals, and convincing hospitals to invest.
Motivation
Using technology and data-driven innovation to improve healthcare, to make a meaningful impact on Thailand's healthcare system.
Expectation
The AI system should be intuitive, clinically validated, cost-effective, and supported by positive feedback from early adopters.
Problem Identified
Doctor
Overloaded with complex explanations
Nurse
Struggle with patient compliance and
admin load
Patient
Confused by medical data, prefer simple
daily advice.
Business
Need a system that's easy to scale and adopt.
DEFINE: PROBLEM STATEMENT
Problmes Statment
Many Thai patients at risk of NCDs lack early detection and guidance, leading to worsening health conditions and costly treatments. How might we create an intuitive hospital system that enables early intervention, risk assessment, and proactive health monitoring
Vision
To prevent NCDs from using AI-driven risk analysis, early warnings should be provided to improve health outcomes
before diseases develop.
IDEATE: EXPLORING SOLUTION
From Brainstorm to Breakthrough
We explored ideas like Hologram Health, Gauge Charts, and Ranking Leaderboards, welcoming feedback from all stakeholders, including the Hospital Team, patients, and the Internal Team. This collaborative approach led to intuitive data visualizations, comprehensive analysis reports, and an efficient back-office system, tailored to real hospital needs.
Brainstorming with all steakholder to create the best solution
Doctor
Nurse
Patient
Management
Team
Business
Team
Developer
Innovator
Design for all stakeholders' needs.
Balance user experience, service efficiency, and business growth.
Discovery 3 key oppotunity
Our research revealed urgent needs in hospitals
Predictive Health Analytics
Forecasting disease risk is complex, requiring diverse patient data and AI models to detect early signs of conditions like diabetes and hypertension.
Improved Efficiency in Healthcare​
Balancing AI-driven health interventions with personalized care is challenging, as it must account for lifestyle, genetics, and environment while maintaining a human touch.​
Early Disease Detection and Warning
Deliver timely, trustworthy AI-driven health warnings to encourage preventative action.
Final Concept: A Preventive Health Dashboard
Lifestyle Modification
Personalized health recommendations based on individual habits, aiming to improve long-term wellness and prevent chronic diseases.
Digagnos Analysis Report
A comprehensive report that consolidates health data, offering insights and detailed analysis to support accurate diagnoses and treatment plans
AI to detect early disease risk patterns
Leveraging artificial intelligence to analyze patient data and identify early warning signs of diseases, enabling proactive care and timely interventions.
Validating Product-Market Fit Early
We validated strong product-market fit by addressing Thailand’s rising NCD rates, aiming to help doctors detect risks early and reduce healthcare costs.
Product-Market Fit Process
Define Core Value
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Identify Target Audience
Uncover
Underserved Needs
Align Value
with User Needs
Translate into
feature set and design
Prioritize the feature,
Then turn it on to wireframe
UX
How do we turn this fit into a usable product?
Feature set
How does our value solve what they’re missing?
Core Valuve
What meaningful value are we offering?
Underserved Needs
What pain points are not being addressed today?
Target Audience
Who will benefit most from our solution?
PROTOTYPE: BRINGING DESIGN TO LIFE
From Brainstorming Ideas to Designing the Structure Then Iterating with Feedback
After brainstorming solutions, I designed the wireframe and IA, focusing on user flow and admin management. Then, I gathered feedback and made necessary adjustments for improvement.
Wireframe
Information Architecture and Management Structure
User : Administrator
User : Doctor and Nurse
Doctor
​"There is concern about accuracy
and insufficient information,
which may lead to errors in initial patient diagnosis."
Business Team
"Is it easy to use?
If not, it could limit sales growth."
​
"If more than four diseases
how is it displayed?
Change for the future
If we ignoring feedback from both doctors (accuracy & usability concerns) and business stakeholders (ease of use & scalability) can lead to severe consequences for both UX and business success.
Impact of Not Making These Changes
1
Low Adoption & Loss of Trust from Doctors
70% of digital transformation projects in healthcare fail due to low adoption from medical professionals.
2
Increased Errors & Patient Safety Risks
Poorly designed information displays can lead to misdiagnosis, treatment delays, or incorrect prescriptions,
3
Business Loss: Decline in Sales & Market Competitiveness
If the system is hard to use, hospitals and clinics may reject it, leading to financial losses and loss of market share.
Design Iterated from Real User Feedback
After collecting feedback, we enhanced the UI and are now collaborating closely with developers.
Simplified, Clear, and Initiative
Based on research insights, I designed a simplified patient dashboard with easy-to-understand risk scores, using color-coded indicators for quick decision-making."
Make more Trust
Enhance user trust and confidence that the software is properly connected to the HIS system.
Problem
Data Accuracy: Inconsistent or delayed updates between the software and HIS reduce trust in patient data.
Solution
Add a "Sync" button in the dashboard for connect with HIS system.
​"There is concern about accuracy and insufficient information,
which may lead to errors in initial patient diagnosis."
Easy to Control
Redesign the display to prioritize diseases based on urgency, addressing doctor and nurse concerns about identifying critical cases while ensuring seamless usability
Problem
Usability: The horizontal layout was difficult for desktop users to navigate, leading to poor usability and a frustrating experience.
Solution
I switched from a horizontal to a vertical layout for better desktop navigation, making it easier to use with a mouse and allowing smooth scrolling.
"Is it easy to use? If not, it could limit sales growth."
Ensure accurate data
Improve Data Accuracy and Information Depth to Prevent Diagnosis Errors.
Problem
Doctors and nurses face challenges with incomplete or inaccurate patient data, leading to diagnostic errors and difficulty in confidently answering patient questions with personalized advice.
Solution
Adding more blood test data for users requires additional data from blood tests to ensure accurate patient analysis.
"Without accurate data, even the best intentions can lead to misdiagnoses. It's crucial for both our decisions and patient trust."
Real-time monitoring of the entire hospital network
Design the dashboard to focus on user needs and goals, like monitoring the entire hospital network chain in real time
A streamlined dashboard for managing doctors, nurses, and admins, with status and easy account creation.
A centralized dashboard for managing users and roles track status and effortlessly create, edit, or deactivate accounts
Developer Collaboration
Clear communication is key. Define your desired display and functionality precisely and collaborate to establish realistic
development timelines.
Search Box
This search box displays the results of user searches by Name and Surname, ID card and Hospital Number​
Search Box
Use a conditional check to determine if no results are returned from the search query. If no results are found, display a friendly reminder suggesting the user verify spelling or adjust search keywords for better accuracy​
Patient-Centered A.I Analysis
The Box displays a risk analysis by comparing the health average of each disease, indicating the risk status as High, Normal, or Low. Diseases with urgent risk levels are prioritized and shown at the top
Patient Information
This Patient Information Box displays real-time patient data, including Date of Birth, Weight, Height, Blood Pressure, Heart Rate, and BMI. The data is synced from the hospital's HIS (Hospital Information System)
Detail of decease
The disease Box displays a health data analysis of patients, including lab tests, X-rays, and lifestyle information, with data synced from the hospital's HIS system
TEST : VALIDATING THE SOLUTION
Expected Outcome
As a UX designer, my focus went beyond visual design. On this project, I focused on how our work improved workflow efficiency and delivered measurable business value in the healthcare sector.
Satisfaction rate
User Expreience Metric
60-70%
Goal
To understand how satisfied healthcare professionals (doctors and nurses) are with the system's usability, features, and overall experience.
How to Messaure
The satisfaction rate likely came from initial feedback. I would have pushed for ongoing surveys to track trends and improve.
Doctor
"AI Prediction Disease had 60-70% satisfaction. Improving accuracy, usability, and clarity will boost confidence and adoption."
Time Save
User Expreience Metric
25%
Goal
To assess how effectively the system reduces the time healthcare professionals (doctors and nurses) spend on patient assessments, aiming to improve workflow efficiency and allow more time for direct patient care.
How to Messaure
Early internal assessments indicated a 25% time saving, though more comprehensive post-implementation studies with a larger user group would offer stronger validation.
Nurse
"Initial use showed a 25% reduction in assessment time, but a larger study is needed to confirm the impact."
Adoption Rate
10+
Professional User
Business Metric
Goal
Track the number of active healthcare professional users to evaluate early system adoption, assess real-world workflow improvements, and identify opportunities for system optimization and broader scaling.
How to Messaure
User management and analytics dashboards track this data. '10+' likely indicates 10 or more active users, a preliminary adoption indicator.
Management Team
"The AI prediction system has over 10 active users, showing good adoption and improving workflow efficiency. User data allows for continuous performance tracking and optimization."
Scalability and Market Reach
5+
Clinic
Business Metric
Goal
Use the growth in partnerships and user numbers as leading indicators to evaluate whether the system has strong market demand and the operational capability to scale beyond the initial pilot clinics.
How to Messaure
Tracking the number of partnerships and user growth would be key metrics for assessing scalability.
Nurse
"The AI prediction results in the first 5 clinics met the expected criteria, improving treatment efficiency. For scalability, we are tracking the growth of partnerships and users to assess future expansion potential."
KEY TAKEAWAY
Learning through hands-on experience.
This project taught me valuable lessons about being resourceful, putting the user first, and working effectively with others when
developing a product
Resources are a critical factor
Prioritize resources when designing. Initially aiming for a holographic human body, we pivoted to address core pain points due to budget, personnel, and time constraints.
Design for Users, Not for Ourselves
We design based on assumptions, but user feedback often reveals our designs aren't liked. To avoid wasted effort, create quick prototypes and gather user feedback early and often.
Take action on what truly matters
Gather, analyze, and negotiate stakeholder feedback to assess its impact on the design and overall outcome.
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