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UX/UI
Product
System Design
Gistmd Platform
Gist empowers patients worldwide to access, understand, and use healthcare information anytime, helping them make informed decisions and follow treatment plans with confidence.
Challenge
Healthcare providers currently lack a scalable way to personalize medical data for diverse patient needs. Current information delivery is often "static," failing to adapt to a patient’s unique language, literacy level, or clinical status. This creates infrastructural friction, where a fragmented data pipeline increases the manual workload for medical teams and leaves patients unprepared for critical procedures.
Solution
A modular ecosystem adapts to every patient by combining medical content and personal attributes to automatically create personalized, culturally relevant videos. By utilizing a logic-driven architecture to tailor each experience to the individual's language, age, and medical details, the platform empowers patients to understand their care journey with confidence while significantly reducing the manual workload for healthcare teams.
Platform Modular Architecture
To manage the distinct requirements of 11 specialized procedures, the platform was engineered as a modular orchestration engine that replaces static page design with a logic driven system.
By treating clinical interactions as reusable functional blocks, the system automatically assembles personalized patient journeys based on real time data inputs.
To support this complexity without increasing UI clutter, the architecture utilizes conditional logic gates that trigger specialized Extended Flows only when specific clinical criteria are met
The Base
Sets the system foundation by processing global variables to standardize every patient case.
The Extension
Modular plug-ins that trigger on demand, ensuring the system remains lightweight and scalable.
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The Modular Lifecycle: Platform Phases
01
Data Initialization
This phase focuses on defining the primary variables that will govern the entire patient graph.
Guided Logic Progress
A structured 6–8 step timeline ensures that all required system variables are captured without cognitive overload.
Constrained Input
By limiting non-essential interactions, the system maintains data integrity, ensuring only valid clinical parameters are passed to the next phase
Optimized Variable Entry
Streamlined actions allow for rapid entry of age, gender, and language preferences, establishing the foundation for the personalized experience.
02
Logic Triggering
In this stage, user responses act as real-time triggers that modify the system's output and pathing.
Component-Based Questioning
Long-form medical intake is broken into modular steps, reducing complexity and increasing completion rates.
Adaptive Flow Branching
The system utilizes conditional follow-up questions; user responses serve as logic triggers that open or close specific sub-graphs in real-time
State Visualization
Clear progress indicators show users where they are in the flow, keeping them engaged during complex data entry.
03
System Monitoring
The final phase serves as a global oversight layer, providing real-time telemetry on patient flows.
Logic-Driven Oversigh
Monitors thousands of concurrent automated journeys from a centralized hub to maintain system integrity.
Actionable State Telemetry
Highlights outliers and patient status via high-density layouts for rapid, data-driven interventions
Administrative Control Gates
Manages dual-layered permissions to protect system logic while enabling performance reporting
Impact
55%
reduction in preoperative meetings
50%
drop in outpatient no-shows
60%
Improvement in colonoscopy bowel preparation adherence
80%
decrease in Workload for Medical Staff
+972 549917303
Einavmshelh@gmail.com