This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

IoT-Based Remote Patient Health Monitoring and Low-Code Workflow System

acropolium

Medical

Challenges with Reactive Chronic Disease Management

The client currently faces challenges with delayed response times to changes in patient vital signs due to the lack of real-time tracking. This leads to an over-reliance on reactive care and frequent hospital readmissions. Customization of existing systems is also difficult, requiring significant IT resources. Furthermore, the existing infrastructure struggles to scale with growing data volumes and the increasing number of connected devices.

About the Client

A medium-sized healthcare provider in Switzerland with a network of outpatient medical facilities, focused on personalized treatment and chronic disease management.

Project Goals

Develop an IoT-based health monitoring system with predictive analytics for proactive intervention.
Enable continuous, real-time tracking of patient heart rate, blood pressure, and glucose levels via wearable devices and sensors.
Implement a low-code platform for customizable dashboards and workflows.
Create a scalable, cloud-based solution to manage increasing data volumes and support future business expansion.

System Functionality

Real-time data streaming from IoT devices (wearables, sensors).
Data visualization dashboards with customizable views.
Predictive analytics engine for risk assessment and early warning.
Customizable workflows for medical staff based on patient conditions.
Alerting system for critical health events.
Secure data storage and access control.
Low-code platform for system configuration and adjustments.

Technology Stack

React (Frontend)

Node.js (Backend)

AWS IoT Core

PostgreSQL

AWS Global Infrastructure

Apache Kafka

TensorFlow

External System Integrations

Integration with various wearable device APIs
Potential integration with existing Electronic Health Record (EHR) systems (to be assessed)

Non-Functional Requirements

Scalability to support a growing number of patients and devices.
High availability and reliability.
Data security and compliance with healthcare regulations (e.g., GDPR, HIPAA).
Performance: Real-time data processing and low latency.
User-friendly interface for medical staff.

Expected Business Impact

The implementation of this system is expected to reduce hospital readmission rates by proactively identifying and addressing potential health issues. It will also improve patient outcomes through timely interventions and allow healthcare providers to optimize resource allocation and streamline workflows, leading to increased efficiency and cost savings. The low-code platform will empower medical staff to adapt to evolving patient needs and quickly integrate new technologies.