Key Highlights
- Rhapsody Autopilot utilizes machine learning to automatically link patient records, enhancing data quality and comprehensive views.
- Rhapsody Copilot companion feature aids data stewards with AI-powered decision-making, setting a new standard in patient matching.
- Significant cost and time savings reported: potential $150,000 savings for every 100,000 data quality tasks, and 50,000 hours of data steward time with over 2M records evaluated in less than 80 minutes.
Source: Business Wire
Notable Quotes
- “With Rhapsody Autopilot, we’re helping improve the effectiveness of teams and products otherwise hampered by poor data quality and incomplete views.” – Sagnik Bhattacharya, CEO at Rhapsody
- “Rhapsody Autopilot uses a neural network-based model trained with data steward tasks to mirror and automate the decisions a human would make.” – Lynn Stoltz, Product Manager at Rhapsody EMPI
SoHC's Take
Rhapsody’s announcement of the Autopilot and Copilot technologies represents a significant step forward in addressing the complexities of healthcare data management. By employing AI and ML, Rhapsody is not only improving the accuracy and efficiency of data stewardship but also setting a new standard for patient data matching. The potential cost and time savings are notable, indicating a substantial value proposition for healthcare organizations. Moreover, Rhapsody’s ongoing commitment to enhancing its products with AI and providing flexible, scalable solutions underscores its role as a catalyst for digital health innovation. The anticipation for its showcase at HIMSS 2024 suggests a keen interest from the industry in these advancements.
