Save Money, Increase Accuracy
MPI Duplicate Tasks Example
A Major East Coast Healthcare Organization
utilizing Epic Identity, faced a critical challenge: a backlog of 163,000 Epic Potential Duplicate Tasks. These tasks, common byproducts of patient matching attempts in legacy systems like Epic, Meditech, and Cerner, pose significant risks to patient safety and operational efficiency. Traditionally, resolving these potential matches required time-consuming manual review by staff. However, EntityWise's advanced machine learning technology offers a game-changing solution. Our system can:
Replicate your data team's decision-making process with high fidelity
Operate at unprecedented scale and speed
Dramatically reduce costs associated with manual review
By leveraging EntityWise, healthcare organizations can efficiently clear backlogs of potential duplicates, enhancing patient safety and streamlining operations without the need for extensive manual intervention.
163,000 Epic Potential Duplicates
The healthcare provider confronted a critical challenge: resolving a staggering backlog of 163,000 potential duplicate records within a tight six-week deadline.
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Large Backlog
6 Week
Deadline
The six-week deadline made it unfeasible to rely on traditional manual data stewards, who would have required 11 months to address the issue. Consequently, they turned to EntityWise, successfully resolving the backlog within the stipulated timeframe.
Deadline Handled
$147,000
Saved
By utilizing EntityWise, they saved $147,000 and eliminated 10 months of manual work compared to the traditional approach of hiring data stewards to resolve the backlog.
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Significant Costs
Our Approach
You provide your data in file
format.
01
EntityWise Machine Learning Match Service matches your data.
02
Data results are provided back in file format.
03
We can prove our accuracy with a proof of concept.