Technology Enabled Pain Treatment Platform

Published: July 31, 2023

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Opportunity | Key Issues with the approach to pain management
Traditional pain management programs often lack personalization and scalability, leading to generic solutions that fail to meet individual patient needs. Existing platforms also faced challenges in managing sensitive health data in real time. This presented an opportunity to develop a comprehensive platform utilizing AWS’s powerful cloud services to overcome these issues, offering personalized pain management programs while ensuring secure data handling.

Approach | The AWS-driven Solution Blueprint
Reveal’s comprehensive approach integrated several critical components for the success of their platform. The team prioritized building a robust data infrastructure by leveraging AWS services throughout the platform. This cloud-based architecture enabled Reveal to manage increasing volumes of user data while maintaining high availability and performance, ensuring scalability and reliability.

Beyond the technical infrastructure, Reveal has planned to customized AI and ML models to provide personalized recommendations. By utilizing the platform’s vast data, these AI-driven insights significantly improved user experiences and outcomes. To protect sensitive information, Reveal adhered to strict security and compliance standards, including HIPAA, ensuring healthcare data remained secure and regulatory requirements were met.

Moreover, Reveal remained dedicated to continuous optimization and support, delivering regular updates and enhancements to keep the platform aligned with evolving user needs. This holistic approach not only improved platform performance but also guaranteed long-term security and compliance.

Reveal HealthTech leveraged advanced AWS-based infrastructure to build a robust, scalable, cloud based platform.

Reveal’s platform integrated a range of advanced technologies to ensure efficient data management, workflow automation, security, and user experience:

  • Data Integration and Management: Airbyte on Kubernetes aggregated data from multiple sources, including continuous pain score monitoring systems and CRM platforms. The data was centralized in Amazon Redshift, consolidating user profiles, health metrics, and activity logs to enable real-time analysis and insights.
  • Workflow Automation and Orchestration: Reveal managed its data pipelines and workflows with Dagster, transforming raw data into user-centric models using dbt (Data Build Tool). This ensured accurate and up-to-date features, such as personalized pain management plans and treatment recommendations.
  • Data Security and Storage: Secure storage for logs, backups, and event data was provided by Amazon S3, while Amazon KMS, IAM, and ECR handled encryption, identity management, and container registries, safeguarding sensitive health data and ensuring compliance with regulatory standards.
  • Visualization and Reporting: Real-time dashboards, integrated via Superset, allowed users and care managers to track key health metrics, enhancing user engagement through clear and actionable visual insights.
  • Scalable Networking and Application Layer: Amazon VPC and ELB facilitated scalable, secure networking, managing high traffic volumes without compromising performance. Personalized reports and notifications were delivered to users via Amazon SES, ensuring timely communication.
  • User-Facing Interfaces: A user-friendly interface featured goal logging, personalized content, and digital prescription generation. The Superset dashboard provided care managers and administrators with seamless monitoring capabilities, while the custom app interface ensured users could easily navigate health plans, participate in community challenges, and track progress.

Outcomes | Impact and Improvements
Through its collaboration with Reveal, the platform has transformed pain management by offering a personalized, data-driven experience. Leveraging expert guidance and real-time health monitoring through AWS cloud services, the following significant outcomes were achieved:

  • Product-Led Growth (PLG) in Medicine Revenue: The platform’s user-centric design, powered by advanced data analytics, has enhanced the user experience, boosted adoption rates, and led to increased revenue in the medical sector.
  • Targeted Pain Relief Solutions: Patients benefit from non-surgical treatments tailored to their specific pain levels, leading to more effective relief and an improved quality of life.
  • Increased Care Manager Efficiency: The platform’s technology streamlines workflows for care managers, allowing them to engage clients more effectively and improve health outcomes.
  • Simplified Activity Tracking: Integration with tools like Google Fit enables users to effortlessly monitor their physical activities, making tracking their health progress more accessible.
  • Convenient Health Data Access: Users enjoy easy access to their health reports and digital prescriptions, enhancing their overall experience and empowering them to take control of their health.

Conclusion
The pain management platform saw significant improvements in adoption and user engagement. Leveraging AWS cloud services—from secure data storage to real-time analytics to scalable networking to user interface design — the platform set a new standard in personalized health management. Reveal’s expertise in AWS implementations demonstrated their ability to deliver innovative, secure, and scalable solutions, making them an ideal partner for organizations seeking advanced AWS support.

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