Optmized Accuracy
Potential Duplicate Task Resolution (MPI/EMPI/MDM)
Potential Duplicate Tasks
Limitations of Traditional Systems
Traditional Master Patient Index (MPI), Enterprise Master Patient Index (EMPI), and Master Data Management (MDM) platforms often struggle with making definitive match decisions for patient records. These systems typically rely on:
Deterministic matching (exact data comparisons)
Probabilistic matching (scoring likelihood of matches)
When these methods fail to reach a conclusive decision, the system flags the records as potential duplicates.
Impact on Healthcare Organizations
The inability to resolve potential duplicates automatically leads to several issues:
10-20% of records are typically flagged as potential duplicates
Manual review is required by data stewards, creating a significant workload
Backlogs of unresolved duplicates accumulate over time
Patient safety risks increase due to fragmented medical histories​
Operational inefficiencies and increased costs ($96 per duplicate on average)
Solution
AI-Powered Solution: Automating Decision-Making
AI Steward solution offers a promising approach to tackle this challenge:
Automating the Review Process
The AI Steward can:
Make decisions with accuracy comparable to human experts
Process large volumes of records quickly and consistently
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Capturing Human Expertise
By learning from the decision-making processes of experienced data stewards, the AI can:
Understand nuanced matching criteria​
Adapt to organization-specific matching preferences
Benefits of AI-Driven Duplicate Resolution
Reduced manual workload for data stewards​
Faster resolution of potential duplicates
Improved patient record accuracy
Enhanced patient safety through more complete medical histories​
Cost savings by eliminating manual review processes
By leveraging AI to automate the resolution of potential duplicates, healthcare organizations can significantly improve the accuracy and efficiency of their patient record management, ultimately leading to better patient care and operational performance.
Let us prove our service by resolving 10,000 Potential Duplicate Tasks Free of Charge, no commitments.
MPI Task Customer Example
Schedule a 15min Call to Learn More
One Size Approaches Fail because every Client has a different belief about matching and we honor that by creating a custom fit algorithm. We learn directly from your team and create an algorithm that mimics your data teams decisions.
Custom Fit
Producing Results in a timely manner is important. Traditional approaches typically take months or even longer. EntityWise ML Technology can resolve 10's of millions of records in days.
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Fast Delivery
Accuracy is the most critical aspect of a Match Service. This is the goal of the project, to uncover all the possible matches. We are absolutely confident about our solution we offer a No Cost Proof Of Concept to prove it.
Accurate Results
Our Approach
You provide your data in file format.
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EntityWise Machine Learning Match Service matches your data.
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Data results are provided back in file format.
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We can prove our accuracy with a proof of concept.