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IoT Platform Enhancement: Predictive Maintenance and User Interface Optimization for Smart Disinfector Management

gloriumtech.com

Medical

Hospitality & leisure

Environmental Services

Challenges with Existing System & Need for Proactive Device Management

The existing user interface for the IoT platform was outdated and required significant improvements. There was a lack of proactive monitoring and prediction capabilities for smart disinfectant devices, leading to reactive maintenance and potential stockouts. Hygiene specialists were burdened with manual data entry, hindering efficient workflow and timely interventions.

About the Client

Leading provider of enterprise-wide document delivery solutions for the healthcare industry, now expanding into smart hygiene management solutions.

Project Goals

Develop a modern, user-friendly interface for the IoT platform.
Implement a predictive maintenance algorithm to forecast disinfectant device filling levels.
Automate data collection and reporting to reduce manual effort for hygiene specialists.
Improve hospital hygiene practices and reduce hospital-acquired infections through proactive device management.
Enhance system stability and scalability for future growth.

System Functionality

Customizable UI/UX for data visualization and reporting
Configurable reports based on IoT parameters
Predictive alerts for device filling levels
Automated daily reports with predictions
Organizational and location-based device supervision
Patient days' management system
NFC-based data collection via mobile application

Technology Stack

Angular

Java

Android

iOS

ML Algorithms (for predictive modeling)

External System Integrations

Potential integration with existing document delivery system (for user authentication/authorization)
Possible integration with hospital inventory management systems

Non-Functional Requirements

Scalability to support a growing number of devices and hospitals
High availability and reliability
Data security and privacy compliance (HIPAA if applicable)
Responsive design for optimal viewing on various devices
Performance optimization for fast data processing and reporting

Expected Business Value

This project is expected to significantly improve hospital hygiene practices, reduce hospital-acquired infections, enhance operational efficiency for hygiene specialists, and provide valuable data insights for better resource allocation. The predictive maintenance capability will minimize device downtime and optimize inventory management, resulting in cost savings and improved patient outcomes.