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Introduction

In response to the growing demand for data-driven decision-making in the healthcare industry, our USA-based client sought to develop an innovative IoT-based system aimed at measuring dentist chair occupancy. The objective behind this initiative was to gain valuable insights into the utilization of dental chairs, with the ultimate goal of making informed business decisions and enhancing the return on investment (ROI) for dental practices.

Solution

In response to the challenge of accurately identifying chair occupancy while respecting patient privacy, our solution combines innovative hardware and software components.

The Hardware team introduced a sensor-based solution that can be seamlessly integrated into dentist chairs. This sensor system effectively detects chair occupancy without compromising patient privacy. By avoiding video streaming and AI-based detection, we prioritize patient confidentiality, ensuring a more secure and ethical approach to chair occupancy monitoring.

The Software team developed a scalable architecture to manage the high volume and high velocity data generated by the sensor network. By leveraging the MQTT real-time protocol, data is transmitted and processed efficiently, ensuring that dental practices can access real-time occupancy information. This not only enhances decision-making but also allows for more efficient chair scheduling and resource allocation.

In this integrated solution, the hardware and software work in tandem to provide a comprehensive and privacy-compliant system for chair occupancy management. This innovative approach not only resolves the challenge at hand but also positions dental practices to operate more efficiently and ethically while adhering to patient privacy regulations.

  • A tailored dashboard that presents the organization's real-time key performance indicators (KPIs) enabling data visualization and analysis for well-informed decision-making.
  • Quick and precise report generation functionality
  • Close monitoring of KPIs to identify trends and take corrective action when necessary.

Core Features

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Data Processing

The system leverages Force Sensing Resistor (FSR) based hardware devices to communicate with the backend server using the MQTT protocol through AWS IoT Core. This architecture ensures high scalability and efficient management of high volume and high velocity data streams, enabling real-time data processing.

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Data Storage

The chosen data storage solutions are designed for scalability and data security. AWS DynamoDB serves as the primary data storage option, ensuring the reliable and flexible storage of critical data. Additionally, AthenaDB is utilized as a data warehouse to facilitate analytical insights and reporting.

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Dentist Dashboard

The Dentist Dashboard is a central component of the system, offering various charts and reports. It empowers dentist houses by providing valuable insights and tools to optimize their operations. This feature enables data-driven decision-making and enhanced efficiency within the dental practices.

Technologies

NodeJS

NodeJS

React JS

React JS

AWS QuickSight

AWS QuickSight

IoT Core

IoT Core

DynamoDB

DynamoDB

Lambda Function

Lambda Function

AthenaDB

AthenaDB

AppSync

AppSync

Conclusion

  • Enhanced operational effectiveness
  • Lowered expenditures
  • Elevated financial viability
  • Enhanced competitive positioning
  • Instantaneous data visualization and analysis for trend recognition and informed decision-making

Testimonial

TriState Technology has truly revolutionized our business. Their team of specialists dedicated time to comprehend our unique requirements and provided us with an automated system that has significantly improved our operations in terms of efficiency and accuracy. We are extremely satisfied with their services and wholeheartedly endorse TriState Technology to any business seeking growth and enhancement.

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