SnapLog is a cutting-edge, AI-powered mobile application specifically designed to transform the management of clinical data.

Traditional methods using stickers in notebooks and cumbersome spreadsheet entries are outdated and inefficient, especially in fast-paced environments like operating theaters.

SnapLog addresses these issues by offering a seamless and efficient way to handle data between medical procedures.

Right from the conceptual stage, SnapLog demonstrated its potential versatility beyond the healthcare sector, suggesting applications across various industries.

However, its core mission remains clear: to streamline the cumbersome process of manual data entry into a swift, mobile experience.

SnapLog allows healthcare professionals, particularly surgeons, to scan patient and operation details quickly.

Through AI-driven text recognition, the app enables immediate use of the data within a mere three seconds, directly from mobile devices.

This capability not only saves precious time but also enhances data accessibility from anywhere, at any time, through a user-friendly interface that supports extensive customization and multiple report generation.

The development of SnapLog was strategically divided into multiple phases focusing on both web and native mobile applications. This approach allowed us to refine each aspect of the solution:

Web Version:

Features a comprehensive admin area for users, including:

• User registration and profile customization, allowing experience-based settings adjustments.

• Attribute and parameter customization to track essential data.

• Operation case media management and review.
  An advanced reporting tool for generating customizable reports.

Native App:

Optimized for speed and user experience, the native app reduces the number of steps needed to capture and utilize data. Key performance indicators (KPIs) for the app include rapid data processing and minimal user interaction.

One of the standout features of SnapLog is its ability to save and apply user preferences both globally (across the profile) and locally (specific to each case). This functionality enables users to quickly adapt settings and preferences, reducing the process to a few simple screen touches.

Despite its practical orientation, SnapLog has been meticulously designed to be both aesthetically pleasing and easy to use.

Multiple design iterations have been crafted, allowing clients to choose the product’s final appearance.

This results in a highly customizable, user-friendly tool that significantly reduces the administrative burden on medical professionals.

Data Security: Given the sensitivity of clinical data, SnapLog incorporates robust security measures, including AWS-powered infrastructure and two-factor authentication (2FA), enhanced with FaceID and password options.

Payment Integration: Incorporates Stripe for secure online payments.

Technical Stack:

• Server-side: AWS

• Web Application: PHP Laravel/ReactJS

• Mobile Application: React Native

• Initial OCR Technology: Google OCR

• Custom AI Model: Python-based, developed for advanced data recognition and ongoing learning in Phase 2.