▪️Conceptual Digital Health UX Case Study
▪️Developed during Google UX training
▪️Grounded in 15+ years clinical workflow experience
▪️Includes simulated cybersecurity risk modeling aligned with clinical roles
Small clinics often rely on outdated EHR systems that slow down doctors, frustrate staff, and reduce time available for patient care.
This project reimagines patient record workflows with a responsive web and mobile solution that reduces errors, simplifies daily tasks, and improves communication between roles.
My focus was to bring clarity and speed to healthcare staff, so they can spend more time caring for patients and less time fighting with software.
📌 Project Overview
▪️Goal: Improve documentation workflows in small medical clinics
▪️Solution: Responsive web + mobile app for doctors, nurses, and receptionists
▪️Focus: Reduce frustration, save time, and simplify communication
▪️Case study from the Google UX Design Certificate
⚡ Challenge
▪️Outdated Electronic Health Record (EHR) systems slow down workflows
▪️Staff waste time switching between multiple screens
▪️Information is often hard to find quickly
▪️Result: less time with patients, more time fighting the software
👤 My Role
▪️UX Designer - responsible for:
        - Research & personas
        - User journeys & site map
        - Wireframes & prototypes (low-fi and high-fi in Figma)
        - Usability testing & iteration
✅ Completed Work
▪️Defined personas for 5 key clinic roles (doctor, assistant, receptionist)
▪️Created user stories, mapped pain points and goals
▪️Built user journey tables and a clinic site map
▪️Wrote problem & goal statements tied to measurable UX outcomes
▪️Conducted a competitive audit of healthcare platforms
▪️Designed and tested wireframes, low-fi prototypes, and high-fi prototypes in Figma
▪️Ran usability studies (5 participants), then applied insights:
        - Added red alarm button for urgent cases
        - Highlighted patients in waiting with green color
        - Improved navigation consistency
🎯 Key UX Focus Areas
▪️Role-specific dashboards tailored to doctors, nurses, receptionists
▪️Reduced steps and minimized screen switching
▪️Mobile-first input for vitals and check-ins
▪️Error prevention and clear feedback for junior staff
▪️Accessibility & clarity across all experience levels
🧭 Design Rationale – Navigation Approach (Matrix Design)
I chose a matrix navigation structure to simplify workflows and ensure users don’t need to follow complicated menus. The left sidebar (Patients, Tasks, Doctors) and the top bar remain consistent across all screens, so users can quickly access any section without losing context. This approach reduces cognitive load, increases efficiency, and ensures that both experienced and junior staff can confidently navigate the system.
✅ Outcomes
▪️Patient search simplified → all 5 participants found records in under 15 seconds
▪️Zero navigation errors reported during testing
▪️Task efficiency improved → fewer steps, less screen switching
▪️Positive feedback on dashboards and navigation clarity
▪️Matrix navigation reduced confusion → users always knew where they were and how to return
🎓 Key Learnings
▪️Usability feedback revealed simple but powerful fixes (alarm button, color coding)
▪️Accessibility-first design improved clarity for different staff experience levels
▪️My 15+ years in healthcare helped empathize with staff needs and validate solutions
▪️Iteration is key → each testing round brought valuable insights
✨ My Contribution & Use of Generative AI
▪️My Contribution
        - Conducted UX research: personas, user journeys, problem & goal statements
        - Created wireframes, prototypes (low-fi, hi-fi) in Figma
        - Organized usability testing, synthesized insights, and iterated designs
        - Brought 15+ years of healthcare experience to validate decisions
▪️Use of Generative AI (as a support tool)
        - AI was used for brainstorming alternative layouts and improving visual presentation of wireframes/storyboards
        - Helped rephrase and polish texts for case study clarity
        - Served as an assistant for structuring deliverables (e.g., converting notes into bullet points, preparing summaries)
▪️Final Design Responsibility
        - All key UX decisions, navigation structures, and design rationale were my own
        - AI suggestions were evaluated critically and only integrated if they improved usability
        - The final product reflects my design thinking and user-centered approach.
🚀 Security-Aware UX Design - Healthcare Case Study
As an extension of my Healthcare Records UX Case Study, I explored how Linux file permissions can be applied in a training-based medical clinic scenario to protect sensitive patient data. This activity demonstrates the principle of least privilege by aligning system-level access controls with clinical roles such as doctors, nurses, and administrative staff.
It highlights how security fundamentals and usability must work together to support safe, efficient, and compliant digital health systems.
🔐 Risk Assessment - Digital Health Context
As part of my cybersecurity training, I conducted a simulated risk assessment adapted to a small medical clinic using a digital health records application. I evaluated common risks such as credential compromise, data leaks, unauthorized access, and system outages using a risk matrix (likelihood × impact). This exercise strengthened my understanding of how security risks directly affect patient safety, regulatory compliance, and system availability - factors that must be considered when designing healthcare user experiences.
🔐 Data Privacy & Least Privilege - Healthcare UX Perspective
As part of my cybersecurity training, I analyzed a simulated data leak scenario caused by improper access controls and oversharing of sensitive information. The exercise focused on applying the principle of least privilege, using NIST SP 800-53 (AC-6) as a reference framework, to reduce the risk of accidental data exposure.
From a healthcare UX perspective, this analysis directly relates to permission design, sharing flows, and role-based access. Poorly defined access boundaries increase the risk of unauthorized disclosure, while clear, time-bound, and role-specific permissions support both usability and patient data protection.
This work reinforced the importance of designing systems where security controls are intuitive, visible, and aligned with real user workflows—especially in digital health environments handling highly sensitive information.
These exercises inform my design decisions around access control, error prevention, and transparency in healthcare interfaces.
🔐 Security Automation - Python Access Control Script
As part of my cybersecurity training, I developed a Python algorithm to automate the maintenance of an IP allow list used to control access to a restricted healthcare subnetwork containing sensitive patient records. The script reads an existing allow list file, compares it against a removal list of unauthorized IP addresses, and automatically updates the file to remove access that is no longer permitted.
From a digital health security perspective, this exercise demonstrates how simple automation can support secure access management and reduce human error when maintaining network access controls. Automating repetitive security tasks such as updating allow lists helps maintain accurate permissions and supports the principle of least privilege in healthcare environments.
🔎 Security-Aware UX Design in Healthcare
These cybersecurity exercises helped me understand how security considerations influence the design of digital health systems that handle sensitive patient data. In healthcare environments, usability decisions directly affect how safely medical staff interact with medical records and other protected information.
Designing secure workflows requires considering role-based access, permission clarity, error prevention, and safe system defaults from the early stages of the UX process. Clear access boundaries and transparent system feedback help reduce the risk of accidental data exposure while still allowing clinicians to work efficiently.
Understanding cybersecurity fundamentals allows healthcare interfaces to support both efficient clinical workflows and the protection of highly sensitive patient information.
UX Personas
UX Personas
User Story
User Story
UX User Journey
UX User Journey
UX Personas
UX Personas
User Story
User Story
UX User Journey
UX User Journey
UX Personas
UX Personas
User Story
User Story
UX User Journey
UX User Journey
UX Personas
UX Personas
User Story
User Story
UX User Journey
UX User Journey
UX Personas
UX Personas
User Story
User Story
UX User Journey
UX User Journey
Value Proposition
Value Proposition
Value Proposition
Value Proposition
UX Ideation
UX Ideation
Crazy 8s: Sketches – Consultation flow Fast layout exploration to reduce screen switching and information overload.
Crazy 8s: Sketches – Consultation flow Fast layout exploration to reduce screen switching and information overload.
Scenario 1 – Big Picture – Current pain & improved future A busy clinic team moves from frustration with outdated tools to smooth, streamlined workflows using the proposed app.
Scenario 1 – Big Picture – Current pain & improved future A busy clinic team moves from frustration with outdated tools to smooth, streamlined workflows using the proposed app.
Scenario 2 – Focused Task Flow – Task flow: Accessing patient record From dashboard to quick actions — this storyboard shows a simplified, time-saving path for clinical staff.
Scenario 2 – Focused Task Flow – Task flow: Accessing patient record From dashboard to quick actions — this storyboard shows a simplified, time-saving path for clinical staff.
Low-Fidelity Wireframes – Early Exploration
Low-Fidelity Wireframes – Early Exploration
Prototyp High-Fidelity
Prototyp High-Fidelity
Prototyp High-Fidelity 1
Prototyp High-Fidelity 1
Prototyp High-Fidelity Mobile 1
Prototyp High-Fidelity Mobile 1
Prototyp High-Fidelity 2
Prototyp High-Fidelity 2
Prototyp High-Fidelity Mobile 2
Prototyp High-Fidelity Mobile 2
Prototyp High-Fidelity 1
Prototyp High-Fidelity 1
Prototyp High-Fidelity 2
Prototyp High-Fidelity 2
Calendar
Calendar
Seitmap
Seitmap
Pattern Identification
Pattern Identification
Insight Identification
Insight Identification
UX Research Study_1
UX Research Study_1
UX Research Study_2
UX Research Study_2

Let’s work together! 
Contact
Email: lmarian.ux@online.de
LinkedIn: linkedin.com/in/lucian-marian-387560193
Location: 82515 Wolfrtashausen, Germany 

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