Revolutionizing Patient Insights with Fractal’s Patient Jarvis solution

By Palash Jain, Senior Consultant – Fractal
By Deval Kulshrestha, Senior Consultant – Fractal
By Raghu Iyer, Sr. Partner Solution Architect – AWS
By Somdeb Bhattacharjee, Sr. Solution Architect – AWS

Fractal Analytics

In the ever-evolving pharmaceutical landscape, data-driven decision-making has become pivotal for companies to stay ahead of the curve. However, the industry often grapples with the challenge of extracting meaningful insights from the vast troves of claims data scattered across disparate sources.

Traditionally, the process of generating AI-powered insights, such as identifying top healthcare providers (HCPs) with the highest contributions, potential patient drop-offs, drug uptake across different segments, and tracking key performance indicators (KPIs), has been a cumbersome and time-consuming task for pharmaceutical companies.

Pharmaceutical companies had to undergo the arduous exercise of analyzing each claims dataset individually, leading to significant time and resource investments. Ensuring data consistency across these siloed datasets was an additional challenge, increasing the risk of human errors and inconsistencies. This is where Fractal’s Patient Jarvis, an AI-powered accelerator built using AWS services, steps in to revolutionize how pharmaceutical companies approach patient analytics. The blog will detail the features and architecture of the Fractal’s solution.

The Fractal Solution: Patient Jarvis

Fractal’s Patient Jarvis is designed to address these industry pain points head-on. The solution streamlines the data processing and analysis by standardizing claims data into a single, unified format. This saves valuable time and resources and eliminates the risk of inconsistencies across datasets.

Key Features of Patient Jarvis

360-degree View of Patients and Physicians: Patient Jarvis provides a comprehensive understanding of patient journeys and physician behavior patterns, empowering pharmaceutical companies to make more informed decisions.

AI-Powered Pattern Recognition: Patient Jarvis leverages advanced machine learning capabilities to uncover hidden trends and patterns, such as deep dives into drug uptake, sources of business explorations, and combined drug usage for multiple medical conditions. This helps pharmaceutical companies identify critical insights that can drive more effective treatments and better patient outcomes.

Conversational Agent – Jarvis Agent: Powered by generative AI, Jarvis Agent allows non-technical users to quickly extract insights through ad-hoc queries, driving better decision-making without the need for specialized data analysis skills.

Data-Driven Decisions: Patient Jarvis’s integrated analytics and quality assurance mechanisms empower organizations to make data-driven decisions. Patient Jarvis supports strategic planning and operational efficiency by providing precise and actionable insights, enhancing overall decision-making processes across the organization.

High-Quality Data Processing: By leveraging AWS’s analytical services, Patient Jarvis ensures data quality. This enables faster and more accurate analysis of anonymized patient-level data, empowering pharmaceutical companies to draw meaningful insights.

Patient Jarvis Solution Architecture

The solution ingests data from various sources, such as claims, payor data. It uses AWS Glue for data integration, ingestion, and quality validation, and stores the data in Amazon Simple Storage Service (Amazon S3). AWS Lake Formation and Amazon DataZone provides data governance.

The data consumption layer utilizes Amazon Bedrock for providing insights through conversation agent . Predictive analytics are enabled through Amazon SageMaker. The solution also incorporates data visualization and reporting tools like Amazon QuickSight.

DevOps capabilities are provided by AWS CodeDeploy, AWS CodeBuild, and AWS CodePipeline. Event-driven workflows and serverless computing are facilitated through Amazon EventBridge and AWS Lambda. The solution also incorporates core AWS services for access management, monitoring, notifications, and encryption key management, such as AWS Identity and Access Management (IAM), Amazon CloudWatch, Amazon Simple Notification Service (SNS), and AWS Key Management Service (KMS).

Please note, the architecture presented here are for reference purposes only. Fractal will work closely with you to deploy the Patient Jarvis solution in accordance with industry standards, compliance requirements, and relevant data regulations.

Conclusion

In conclusion, Fractal’s Patient Jarvis represents a transformative solution for the pharmaceutical industry’s data analytics challenges. Patient Jarvis empowers organizations to unlock powerful insights and make more informed, data-driven decisions by unifying disparate claims data, automating processing, and leveraging advanced AI. With its 360-degree patient and physician views, high-quality anonymized patient level data (APLD) processing, and intuitive conversational agent, the solution streamlines analytics to support strategic planning, operational efficiency, and improved patient outcomes. As the industry navigates an increasingly competitive, data-driven landscape, innovative solutions like Patient Jarvis will be crucial for pharmaceutical companies seeking to maintain a competitive edge and drive long-term growth.

Fractal Analytics – AWS Partner Spotlight

Fractal Analytics is an AWS Advanced Tier Consulting and Competency partner that helps clients solve complex business problems with data, AI/ML, and Analytics.

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