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How address verification boosts provider data accuracy for Maven One Health
Products used
US Address Verification
At a glance
Challenge
Address data from legacy systems needs extensive cleaning before migration to newer systems, but an insufficient, internally-developed address verification solution caused Maven One Health to frequently update their process, miss out on essential metadata, and lack the ability to flag address errors.
Solution
Smarty’s US Address Verification provides the standardization and metadata needed to validate a high volume of addresses at a mind-blowing speed.
Results
Maven One Health gives their customers actionable insights for improving the accuracy of their address data, enabling them to confidently create directories or claims with up-to-date provider location.
The client: Maven
The client: Maven One Health
Maven One Health is a provider data management firm offering tech-enabled services to payers, third-party administrators, and health tech firms looking to migrate, clean, and analyze their provider data. They also help their customers improve member and provider experience through KPI monitoring and management.
To ensure their customers effectively connect members with providers—all while avoiding costly compliance fees—Maven One Health manages over 1 million addresses spanning across all fifty states.
The challenge: Legacy data and insufficient address verification
Many of Maven One Health’s customers look to migrate their provider data from aging legacy claims platforms. The majority of these legacy systems aren’t equipped with any form of address validation. For decades, customers using these systems have entered provider addresses manually or through Optical Character Recognition (OCR) processes that lower accuracy.
Manually entered addresses are prone to errors. While validating their customer’s address data, Maven One Health encountered typos, mismatched cities and ZIP Codes, addresses written in all caps, missing secondary designators, and duplicate records. In an especially messy dataset, they found Philadelphia spelled 37 different ways.
In an especially messy dataset, they found Philadelphia spelled 37 different ways.
If inaccurate provider data migrated to a new system, Maven One Health’s customers would face a variety of problems, including:
Misdirected patients: Patients often choose providers based on their location. Sending a patient to an incorrect provider address could lead them to a PO box or residential area, rather than a practice. The provider’s actual location could be a long commute—and multiple frustrating phone calls—away.
Inadequate networks: Networks should ensure members have reasonable access to care, but when they’re built on bad address data, coverage can appear to exist where it doesn’t.
Inaccurate service payments: The cost of a service can change depending on where it was provided. When a claim lists the place of service using the wrong provider address, the paid amount could be incorrect, leading to costly provider disputes or even denied claims, audits, and penalties.
Undeliverable claims: For companies using paper claims, an inaccurate provider address could lead to an undeliverable location. This could, in turn, result in returned mail, delayed payments, and increased costs associated with reprocessing.
Manual claim processing: Automated claims processing can boost a company’s speed and efficiency, but when provider address errors need to be corrected, slow, manual verification has been the costly answer.
To prevent these issues, Dave Medlock, Founder of Maven One Health, developed a process for verifying addresses. However, this address verification tool struggled to accommodate challenging address variations and couldn’t flag residential addresses, Commercial Mail Receiving Agencies (CMRAs), or PO Boxes.
“As a software developer, you look at it and you read the rules on the USPS website and say, ‘Oh, I can write a routine that will standardize addresses.’” Dave admitted. “Then you find yourself constantly tweaking, tuning, or dealing with data that looks correct, but isn’t. You start to realize that address standardization is actually a lot more complex than it looks on the surface.”
If anyone understands the address-data headache Dave experienced, it’s Smarty. We’ve been laser-focused on address quality for over a decade, and we’re still unearthing oddball edge cases. That’s one of the main reasons we update our APIs multiple times a month.
With significant time and resources going towards an internally-developed address verification tool that couldn’t meet their needs, Maven One Health began to look for a faster, more consistent solution.
The solution: The speed and accuracy of Smarty’s US Address Verification
To validate legacy address data before moving it to a newer system, Maven One Health seamlessly integrated Smarty’s US Address Verification with their migration process.
“I was able to install the SDK quickly and easily.” Dave stated. “The documentation was thorough, clear, and easy to understand. I was up and running and getting the results I needed within a couple of hours.”
I was up and running and getting the results I needed within a couple of hours.
After implementing Smarty, Maven One Health not only validated thousands of addresses with confidence and speed, they simultaneously flagged specific address errors. Dave explains:
“I can tell a customer how many invalid addresses they have and exactly what’s wrong with those addresses. That was a big win, and something we make sure we capitalize on.”
Unlike their previous address verification tool, Smarty’s US Address Verification met Maven One Health’s needs. In under a week, they saw ROI through the following KPIs:
Developer friendliness: Smarty’s comprehensive documentation and all-star support team made API integration a breeze.
Cost efficiency: US Address Validation allowed Maven One Health to put their time and resources towards what they do best, instead of developing their own address verification tool.
Speed: Maven One Health has yet to find the limit of how many API calls they can run per second because they’ve never hit it. (Hint: For standard plans, it’s over 25,000 per second, but it can go much faster!)
Flexibility: As a cloud-based service, US Address Validation will scale with Maven One Health as their needs change.
Multiple use cases: US Address Validation returns up to 55 metadata points, including geocodes, property type (residential or commercial), vacancy status, CMRA/PO box details, and DPV footnotes. This added data makes locating potential matches for incorrect addresses and determining how accurate an address is a walk in the park.
The results: Actionable insights & unprecedented accuracy
Since implementing Smarty, Maven One Health consistently provides their customers with actionable insights for improving their provider address data.
US Address Verification enables Maven One Health to identify the validity of provider addresses, all while eliminating duplicate addresses from a database. When an address is invalid, they can tell a customer why—whether it's missing a secondary address, has an incorrect State or ZIP Code, or just doesn’t exist at all.
With these insights, customers can boost the accuracy of their provider data by removing invalid addresses from their provider directory or preventing them from entering their claims system.
Now, Maven One Health can help their customers clean provider data and improve overall member and provider experience without worrying about an edge-case address throwing a wrench in their entire process.
“That combination of complete, valid, and accurate data is tremendously important.” Dave emphasized. “It always has been.”
That combination of complete, valid, and accurate data is tremendously important. It always has been
Conclusion
Maven One Health’s partnership with Smarty has boosted their ability to provide customers with a clear course of action for taking control of their provider data, whether they use provider addresses to create directories or process claims.
No matter how error-ridden a customer’s provider address data is, US Address Verification quickly and consistently validates a high volume of addresses and provides metadata indicative of what’s missing from incorrect addresses.
Accurate address data helped Maven One Health tackle the challenges of provider data migration and clean up with confidence.
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