Case Studies/Technology in Healthcare

Technology in Healthcare

Integration of apps, medical devices, and advanced infrastructure

Technologies

AndroidiOSSDKReact Native BridgeFlutter PluginIoTBluetooth LEJavaSpringReactNext.jsAzureKubernetesFHIR

Context and Introduction

The increasing expectations of patients and the limitations caused by the COVID-19 pandemic have made telemedicine a key need in the healthcare sector. The client identified a market gap – a lack of a comprehensive tool that would allow patients to perform diagnostic tests at home and quickly have their results remotely analyzed by doctors.

Our task was to create a digital platform that connects a professional diagnostic device with an intuitive mobile application and a web tool for medical specialists.

Problem Description

Traditional healthcare relied mainly on in-person medical visits, often requiring long wait times and the patient's physical presence. During the COVID-19 pandemic, this became burdensome, increasing the risk of infections and limiting access to healthcare. The lack of a platform that enabled remote collection of precise diagnostic data meant that doctors could not fully benefit from telemedicine. For patients, difficulties in storing and sharing their medical records with doctors during remote consultations also posed a challenge.

Proposed Solution

We developed a comprehensive telemedicine platform that integrates an advanced diagnostic device (provided by the client) with a mobile application (Android/iOS) and a web portal for doctors. Using the mobile app, patients can perform medical measurements themselves (e.g., throat and ear examination, temperature measurement, lung and heart auscultation), and the collected data is automatically transmitted and analyzed on a cloud-based platform.

The entire solution is built on technologies such as Flutter (mobile app), React (web app), Java Spring Boot (backend), and is deployed in the Azure cloud, ensuring high data security standards and scalability. The solution also incorporates AI algorithms supporting diagnostics, improving the accuracy of remote diagnoses.

Results and Benefits

Implementing the platform reduced the time needed to obtain a diagnosis from several hours (including in-person visits) to an average of 30 minutes from the moment the patient submits medical data. Within the first six months of use, the platform gained over 15,000 active users per month, and patient satisfaction was rated an average of 4.9 in the App Store and Google Play.

The solution also positively impacted doctors' work, providing them with quick access to detailed patient data, which improved diagnostic accuracy and reduced the duration of a single consultation by approximately 40%. Thanks to automated data collection and medical record archiving, both patients and doctors gained a convenient tool for monitoring health history and responding quickly to emerging health issues.

Average time to obtain a diagnosis

Examinations conducted

User rating

Client Testimonial

“The implemented telemedicine solution significantly increased our competitiveness and allowed us to offer top-quality medical services to patients without them having to leave their homes. As a result, both interest in our product and user trust have grown.”

Summary

The development of the telemedicine platform successfully combined modern medical diagnostics with an easy-to-use interface for both end-users and medical professionals. The platform significantly reduced diagnostic time, improved the quality of online medical services, and increased user satisfaction. This project has become a key component of the digital transformation of healthcare services, addressing critical market needs during the COVID-19 pandemic and beyond.