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HackGT: FiLog

Universal data tracker with app integration for real-time patient-provider communication.

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Problem

Real-time communication between patient and provider is often inadequate, leading to blind spots in treatment.

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Scenario

  • A young child, post-trauma, admitted to hospital.�
  • Nurses, already understaffed check in only once per hour.�
  • Child is too nervous/overwhelmed to explain what’s wrong.�
  • Providers rely on guesswork and occasional snapshots of his condition.

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  • Barriers include: age, stress, illness, disability, or language differences.�
  • Current methods (verbal check-ins, picture scales) = inconsistent, biased, and poorly organized for long-term care.

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A Universal Data Tracker + App�Provides Real-Time Patient-Provider Communication

Providers receive a clear summary with most recent information

Recorded data displayed in graphs, displaying trends

Provider Summary

Trends

Patient Input

Patients log data (e.g., pain, mood, discomfort) instantly with a simple button press via physical or digital device.

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Data Recorded

Information is saved on the app, tied to the patient

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DEVICES :

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Physical

Digital

Mobile or tablet application�

Customizable for adults and older children�

Allows tracking of more variables and personalized preferences

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Tactile, color-coded buttons with printed surfaces�

Designed for accessibility and ease of use�

Suitable for children, non-verbal patients, or those with disabilities (e.g., blindness)

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Buttons

Arduino Uno

Hardware

Web Server

Each set of buttons corresponds to a specific variable (i.e. pain, discomfort level, mood)

Arduino Uno used to receive button press inputs and record the corresponding state.

A node.js file is used to interpret the arduino output and send the corresponding data to the frontend graphs.

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Software

React Frontend

WebSocket

Node.js Backend

Arduino IDE

The front-end displaying the the patient’s data to the provider is made with React and JavaScript.

A C++ script reads the button inputs and records the corresponding information.

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Our Arduino Setup

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MockUP

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Applications + Benefits

  • BENEFITS :
    • Continuous patient monitoring in hospitals, clinics, or at home.

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    • Reduced need for constant in-person checks, lowering stress for staff and patients.

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    • Documented health histories for better-informed decisions.

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APPLICATIONS :

      • Continuous Data Logging
      • Trends Over Time
      • Predictive Insights
      • Early Alerts

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RESEARCH POTENTIAL :

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  • Anonymous data collection across patients for universal database
    • more reliable and less biased

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  • Integration with machine learning
    • Pattern identification
    • Predicting treatment outcomes

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Thank you for listening :)

CREDITS: This presentation template was created by Slidesgo, including icons by Flaticon and infographics & images by Freepik