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Automated Cloud-Based Data Aggregation and Billing System for Medical Device Usage
  1. case
  2. Automated Cloud-Based Data Aggregation and Billing System for Medical Device Usage

Automated Cloud-Based Data Aggregation and Billing System for Medical Device Usage

effectivesoft.com
Medical
Information technology
Healthcare Technology

Challenges in Manual Data Collection and International Billing for Medical Devices

The client faces operational inefficiencies due to manual collection of device activity logs and usage data across a growing international customer base spanning over 29 countries. The manual process results in increased overhead, potential errors, and delays in invoicing, complicating revenue management and scaling efforts.

About the Client

A mid to large-sized healthcare device manufacturing company specializing in therapeutic laser devices, seeking to streamline device data collection and billing processes across multiple countries.

Goals for Automating Medical Device Data Management and Billing

  • Develop a centralized web portal that aggregates device usage data from multiple locations worldwide.
  • Automate the synchronization of device logs with the cloud system to reduce manual effort.
  • Enable remote verification, testing, and interaction with medical devices for ongoing maintenance and compatibility checks.
  • Facilitate accurate and efficient billing based on device usage metrics.
  • Improve operational efficiency, reduce costs associated with manual data collection, and support scaling to additional international markets.

Core Functional System Features for Medical Device Data Automation

  • User registration module for device registration using device ID and API keys.
  • Real-time data collection and approval workflows from multiple geographically dispersed devices.
  • Automated data filtering, matching logs with registered devices and users.
  • Dashboard displaying consolidated device usage and activity logs for billing review.
  • Remote device testing and status verification capabilities without physical access.
  • Secure authentication and authorization mechanisms for healthcare professionals and staff.

Preferred Technologies and Architecture for Solution Development

ASP.NET Core for backend development
MS SQL Server for data storage
Azure Cloud Services for deployment and scaling
Azure App Service, Azure SQL Database, Azure Active Directory
Azure Application Insights for monitoring
Angular or similar framework for frontend UI

Mandatory External System Integrations for Data Synchronization

  • Device APIs for remote data collection and device status verification
  • Authentication services for user management
  • Billing systems or modules for generating invoices based on device activity logs

Essential Non-Functional System Attributes

  • System scalability to handle data from devices across 29+ countries
  • High availability with minimal downtime
  • Secure data transmission and storage compliant with healthcare data regulations
  • Performance capable of processing and displaying aggregated logs in real-time
  • Remote testing and software interaction without physical device access

Projected Business Outcomes and Benefits of the Data Automation Solution

The implementation of this cloud-based device data aggregation and billing system is expected to significantly reduce operational overhead, improve billing accuracy, and streamline international compliance. It aims to support scaling efforts, decrease manual labor by automating data collection, and enable faster invoicing, ultimately leading to increased revenue efficiency and enhanced customer satisfaction.

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