Overcoming the burden of Potential Duplicates
By investing in an EMPI / MPI platform you recognize the need to match your data accurately and completely but these platforms fail to match the entire population of data and leave the unresolved matches as potential duplicates (also known as tasks, suspects, worklists, reviews etc...) for humans to work manually.
This often leaves a large burden on the data team and if the backlog is significantly large you will never catchup.
The Pain Points:
MPI/EMPI/MDM Implementation's create Potential Duplicates for humans to review
Unresolved Potential Duplicates create Patient Safety Concerns
Human Data Remediation
Can be inconsistent between stewards
Confined to workdays/hours (M-F, 8-hour days)
Large Backlogs are difficult and even impossible to overcome (100k – millions)
Meanwhile new Potential Duplicates continue to be created
Potential Duplicates typically account for 10-15% of the population which affects your match rate
Ai Steward can Eliminate those Pain Points
AI Steward Implementation Process:
Start to Finish in a few Weeks
Projects completed in weeks
We do most of the heavy lifting
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 best Stewards and create a virtual Steward that mimics your data teams decisions.
Producing Results in a timely manner is important.
Traditional approaches typically involve training a team of stewards and executing on the volume of data which takes months.
We can solve 100's of thousands of PD's in days to weeks
Accuracy is the most critical aspect of resolving Potential Duplicates.
Ai Steward mimics the decisions of your best data stewards which produce the most consistent and accurate results.
We are absolutely confident about our solution we offer a No Cost Proof Of Concept to prove it.
There are 3 steps to resolving any potential duplicate on any platform:
Learn how to make decisions from your best Data Stewards
Test the new Ai Steward against your own data to validate it's accuracy.
Resolve 10's to 100's of thousands of Potential Duplicates in Days
We will prove that our solution is equally accurate as your Data Stewards.
How do we engage?
We can engage:
As a one-time project to eliminate a backlog and allow your data team to catchup (a services engagement)
As a subscription where we continuously resolve an ongoing workload 7x24x365
As a file based engagement where we receive a file of potential duplicates and return them resolved.
How AI Steward Works
To Answer the question, "How Ai Steward Works" we first must understand why Data Stewards are able to resolve tasks when the EMPI/MPI cannot.
Data Stewards examine a pair of records differently than your typical MPI/EMPI platform which employs a Deterministic or Probabilistic match approach.
A human looks at each of the attributes individually and makes assessments that weigh the balance of attributes and how well the values match by striking a balance that is not possible from traditional approaches. Traditional Approaches can only assess on one dimension where humans can employ multi-dimensional decisions.
Machine Learning, what AI Steward uses, approaches the decision making process exactly the same way a human does through a multi-dimensional assessment.
It learns from the data steward and can see how the data steward is making the decision and mimic that behavior creating a fast, accurate, virtual steward.
AI Steward can resolve tasks on platforms or file based projects (e.g. MPI Cleaups) at 20x the speed of a data team and at 1/3 the cost. And as a machine learning technology it will learn the match behavior from your team and mimic their accuracy while saving money.