Acropolium
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⏩ Development of an IoT-based Emergency Health Monitoring System

case study

Development of an IoT-based Emergency Health Monitoring System

Developing a health care monitoring system using IoT for proactive patient oversight. Adopting low-code practices for flexible workflows with customization features based on unique patient needs. Leveraging advanced patient data analytics to switch from a reactive approach to anticipatory strategies. Embracing scalable cloud infrastructure to handle expanding data volumes.

client

NDA Protected

Switzerland
80 employees

Our client is a medium-sized healthcare provider with a network of medical facilities offering outpatient care services. Prioritizing personalized treatments and effective monitoring of chronic diseases, the provider wanted to integrate the IoT technology for remote, real-time data on long-term conditions.

case study on health care monitoring system using IoT

request background

Transforming Health Monitoring System Using IoT & Low Code

Our client aimed to rethink their approach to chronic disease management by adopting a more proactive, data-driven model for monitoring patient health remotely. Currently, they face challenges with delayed response times due to the absence of real-time tracking for key health indicators, resulting in an overreliance on reactive care and frequent hospital readmissions.

To address these issues, they contacted Acropolium to develop a custom patient health monitoring system using IoT, allowing for continuous data collection and advanced tracking of patient vitals.

Additionally, the client required a low-code platform that could facilitate swift customization and deployment for medical staff to adjust workflows and analytics according to specific patient needs.

With this solution, the client aimed to improve patient outcomes through timely interventions, reduce readmission rates, and optimize their resources for more efficient chronic care management.

health monitoring system IoT project case study

challenge

Getting More Responsive with an IoT-based Health Monitoring System

The medical company's existing platform lacked live tracking features, making it difficult for healthcare providers to respond promptly to changes in patient vital signs. As a result, they are forced to rely on reactive care, increasing the likelihood of hospital readmissions and complicating proactive health management.

Customization of the system has been another pain point, as adapting the platform to the specific needs of various patient demographics requires extensive IT support and technical resources. That severely hindered their ability to quickly modify workflows or integrate new IoT devices.

Furthermore, as the client's patient base grows, scalability has become a pressing concern. Their current infrastructure struggles to manage increased data volumes and the number of connected devices across different healthcare settings.

Such limitations also place a strain on resources, as even minor adjustments demand technical expertise. Seeking a more adaptable solution, the client requires a low-code platform that would enable healthcare teams to make essential changes with minimal reliance on IT.

goals

Build an IoT health monitoring system with predictive analytics capabilities for early intervention in potential health issues.
Enable continuous live tracking of patient heart rate, blood pressure, and glucose levels, through the integration of IoT devices like wearables and sensors.
Develop a low-code platform with customizable dashboards and workflows.
Provide a scalable, cloud-based solution capable of managing the growing data volumes from multiple IoT devices, ensuring the platform can support the client's business expansion.

IoT-based emergency health monitoring system development

solution

A Comprehensive IoT-based Health Monitoring System with Customizable Workflows

React, Node.js, AWS IoT Core, PostgreSQL, AWS Global Infrastructure, Apache Kafka, TensorFlow
16 months
9 specialists

For this health monitoring system IoT project, we started with a discovery phase that provided a deep understanding of their operational challenges, technical gaps, and strategic objectives. With these insights, we designed a solution focused on real-time data tracking, predictive analysis, and user-friendly customization to meet the client's goals.

We utilized a combination of React for the frontend interface and Node.js for the backend, allowing for a responsive and flexible platform that could be easily customized. For IoT device integration, we leveraged AWS IoT Core for consistent data collection from wearable devices and sensors. This setup facilitated seamless connectivity while providing a secure channel for transmitting sensitive health data. Our developers chose the PostgreSQL database to ensure reliable, scalable, and structured storage of large datasets, allowing for efficient access and management of health information.

The cloud infrastructure was built on AWS cloud infrastructure, chosen for its scalability and compliance with healthcare regulations, ensuring a secure and reliable environment for storing and processing sensitive patient data.

To further enhance data processing, we integrated Apache Kafka, which supports real-time data streaming and efficient data handling from multiple IoT sources.
We implemented predictive analytics and health trend forecasting using TensorFlow, which provided machine learning capabilities to analyze historical and real-time data.
A key feature of the IoT health monitoring system is a user-friendly dashboard developed using React with a drag-and-drop interface.
Using AWS, we created a low-code environment that doesn't require tech expertise when making system adjustments.
To monitor and maintain system performance, we integrated features for real-time alerts and analytics to ensure the solution operates optimally.

outcome

Reliable Care and Optimized Workflows with IoT & Advanced Analytics

The IoT-based remote health monitoring system updates and customizations now take 40% less time, allowing healthcare teams to make adjustments swiftly and dedicate more attention to patient care.
Scalability enhancements have expanded patient data storage capacity and enabled monitoring of 50% more patients without impacting system performance.
This improvement supports a substantial increase in patient capacity, paving the way for scalable growth in their services.

IoT-based patient health monitoring system case study

client feedback

Working with Acropolium has been smooth and enjoyable from day one. The team really took the time to understand our specific challenges and what we wanted to achieve. We're thrilled with how everything turned out and can't wait to keep working together!

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