Rhapsody Launches AI for Identity with Rhapsody Autopilot

Interoperability Platform Lyniate Rebrands as Rhapsody

What You Should Know:

Rhapsody, a leader in digital health enablement, has unveiled a groundbreaking technology called Rhapsody Autopilot.

– The first-of-its-kind solution utilizes machine learning (ML) to automatically link patient records, ensuring a comprehensive view that aligns with each customer’s specific preferences.

The Problem: Drowning in Data

The healthcare industry faces a growing challenge: a constant surge of patient information. Managing this data effectively, particularly ensuring accurate patient identity across records, is crucial but resource-intensive.

The Solution: Automating Data Stewardship with AI

Rhapsody Autopilot acts like a digital assistant, mimicking human decision-making to resolve data linking and quality issues. It automates preferred actions, leading to several key benefits:

– Improved Data Credibility: Streamlined data linking enhances downstream data reliability for clinicians and other healthcare professionals.

– Reduced Workload: Data stewards and clinicians can focus on more critical tasks as Autopilot handles repetitive tasks.

– Enhanced Patient Safety: Lower duplicate rates translate to fewer errors and ultimately, improved patient safety.

The Benefits: Accuracy, Savings, and Efficiency

Rhapsody Autopilot offers several advantages for healthcare organizations:

– Consistent Decision-Making: This AI-powered solution consistently makes data linking decisions based on pre-defined guidelines, exceeding human consistency rates (72-85%) significantly.

– Measurable Efficiency: Studies show that healthcare organizations using Autopilot achieve a 98% alignment rate with their data matching guidelines. This translates to significant time and cost savings. For instance, automating data stewardship can save teams $150,000 per 100,000 data quality tasks and 50,000 hours of work.

Transparency and Control: Rhapsody Autopilot prioritizes user control. Customers retain full transparency regarding data linking decisions, the underlying data used, and a clear lineage of data handling.

“Healthcare organizations seek ways to drive higher-quality data while reducing cost. Using AI to automate data stewardship is the perfect use case for technological advancements to achieve those goals,” said Sagnik Bhattacharya, CEO of Rhapsody. “With Rhapsody Autopilot, we’re helping improve the effectiveness of teams and products otherwise hampered by poor data quality and incomplete views.”