AI Meets EMPI: How Rhapsody is Revolutionizing Person Data Management

This blog is based on a conversation between Jitin Asnaani, CPO of Rhapsody, and Chris Hayden of Fierce Healthcare. Watch the interview here. 

As a health technology company, imagine pitching your product to a hospital system in a metropolitan area with 100 patients named Jay Smith. Without a technology solution that combines matching records and deletes duplicates, humans need to painstakingly review each potential duplicate to produce quality person data. At best, consolidating “Jay Smith” records would take a few minutes per record. 

Now, consider today’s healthcare reality, where individuals move around multiple care sites and providers. At each clinic, hospital, and lab, patients gather more data than ever. Mergers and acquisitions add to this data deluge. All this data from disparate systems adds up to more than a human can reasonably manage.  

“You have this dramatically increasing surface area where you need to connect the dots. As excellent as it may be, human intelligence just doesn’t scale for it,” says Jitin Asnaani, CPO of Rhapsody

That’s where Rhapsody steps in. It combines the Enterprise Master Person Index (EMPI) with AI machine learning that mimics human thought processes. Rhapsody EMPI with Autopilot enables healthcare organizations to maintain accurate, consistent person data across information systems.  

The growing challenge of person identity management 

Combining the power of EMPI with machine learning AI is a natural next step for the exponential growth of person data.  

Healthcare providers and health technology innovators already face hurdles when dealing with fragmented data — an increasing problem as care options and wearable data grow.  

Organizations must navigate: 

• Interoperability issues: Data is often stored in disparate systems, so creating a unified person record is difficult. 
• Cybersecurity concerns: As more data moves across networks, protecting patient health information (PHI) is even more challenging. 
• Resource constraints: IT budgets are shrinking while staffing shortages are growing. 
• Demonstration of ROI: For providers to justify the investment in new products or other innovations, health technology companies must demonstrate cost savings, efficiency gains, and improved patient care. 

Managing these growing challenges requires new solutions that work at scale. “Rhapsody has been a pioneer in the EMPI space for two decades, so bringing artificial intelligence into the process through machine learning is a natural next step to improve patients’ quality data experience even as the surface area underneath them increases,” says Asnaani. 

Why AI-powered EMPI is the future 

As a health tech company, quality data is a critical input to your ability to deliver a valuable product. “Inaccessible, unreliable, or fragmented data inhibits your ability to utilize and actually innovate,” says Asnaani.  

EMPI powered by AI allows you to access quality data from multiple sources. 

A traditional EMPI uses algorithms to match person records across systems. These systems rely on human intervention to resolve discrepancies, which doesn’t scale as data becomes increasingly more complex.  

Autopilot automates most of this person-matching work, ensuring only the most complex cases require human intervention. AI-powered EMPI solutions take identity resolution to the next level by: 

• Automating and scaling person data matching: AI-driven models learn from human decision-making and apply those patterns at scale. As healthcare networks grow, AI effortlessly handles millions of records in real time. 

• Increasing record matching accuracy: The system continuously improves by analyzing new data and refining matching algorithms, all within the policies set by your human experts. 

• Mass customization: With AI, workflows are established to align with each organization’s specific data needs and priorities. 

Rhapsody EMPI with Autopilot uses neural network-based machine learning that mimics human thought processes to consolidate person records. It ensures person data is accurate, consistent, and secure. It’s purpose-built for the healthcare industry with machine learning AI that’s proven and trusted in environments where precision matters most.  

“​​The better the picture of patients you have as a provider, the better care you can deliver,” says Asnaani. It’s crucial for health tech companies to ensure their products deliver the data quality that providers expect. 

Cutting-edge AI-powered EMPI from Rhapsody is leading the way  

While other EMPI solutions exist, Rhapsody EMPI with Autopilot sets itself apart. This is what you can expect:  

• 30+ years of industry leadership in person identity data management 

• A proven EMPI solution that works at scale  

• AI-driven machine learning models for automated, highly accurate person matching 

• Referential matching capabilities to consolidate records based on public data outside of healthcare systems 

• Global presence, ensuring security and compliance requirements across the world 

• Best-in-KLAS^® customer support for implementation and beyond 

Here’s how your health tech organization can partner with Rhapsody to deploy EMPI with Autopilot: 

1. Identify the business objectives: Work alongside Rhapsody as a trusted partner and advisor with decades of identity data management experience, to enable data quality for your business and care outcomes. 

2. Train the AI to mimic what a human would consider a match: Through machine learning and neural networks, the system mimics human decision-making based on how identity resolution is handled for your specific needs. 

3. Consolidate person records at scale: Rhapsody EMPI reconciles up to 30% more data through automation with 98% consistency – all without the need to increase staff.  

4. Maintain quality data even as the quantity increases: Traditional EMPIs rely on deterministic and probabilistic algorithms, while AI introduces adaptive learning and real-time automation. Rhapsody EMPI with Autopilot dramatically improves speed, accuracy, and scalability. 

Reduce your workload and improve efficiency 

Rhapsody EMPI with Autopilot is a game changer for organizations looking to level up their operations. It ensures accuracy, improves downstream data credibility, and lets your team focus on higher-value issues. “I feel really good about our ability to say this can help you as a company transform your organization,” says Asnaani. 

Interested in AI-Powered EMPI? 

Let’s explore how an AI-driven EMPI can enhance your person data strategy and help your organization achieve seamless interoperability and high-quality person data.

Schedule a demo