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Humana Announces Strategic Partnership with Veda to Improve Accuracy of Provider Directories

Enhancements will help seniors get real-time access to local in-network providers

LOUISVILLE, KY and MADISON, WI (February 26, 2024) – Leading health and well-being company  Humana Inc. (NYSE: HUM) today announced a strategic partnership with Veda, a health technology company specializing in helping healthcare companies solve complex provider data challenges. Humana will partner with Veda to improve the accuracy of its provider information and ensure that seniors have real-time details about in-network providers, making it easier for them to access high-quality healthcare.  

Ensuring the accuracy of provider directories has been the source of ongoing challenges for seniors, health plans, providers and policymakers. Maintaining up-to-date provider directories, including accurate phone numbers, addresses and panel status of in-network practitioners, is critical to helping seniors make informed choices about their healthcare. While Humana historically was making millions of calls annually to confirm provider data, ongoing inconsistencies and inaccuracies in these directories can make it harder to find a provider and lead to administrative burden for seniors, providers, and health plans.   

ENHANCING EXPERIENCES WITH VEDA’S AUTOMATION TECHNOLOGY

Veda will use its patented automation technology to analyze, verify, and standardize Humana’s data to ensure it is accurate and comprehensive, along with real-time scoring of data quality. Veda’s platform achieves high data accuracy, ensuring quality across networks as measured by the Center for Medicare & Medicaid Services (CMS). Veda’s automation will allow Humana to devote more time and resources to enhance the patient experience. 

“Accurate provider data is a key component of efficient health plan operations, care delivery, interoperability, and ultimately patient satisfaction,” said Veda co-founder and CEO Meghan Gaffney. “By addressing the challenges that members may face with finding in-network care providers, Humana is ensuring their members have access to the timely, high-quality care they deserve.” 

In addition to working with Veda, Humana will continue to apply best practices in ensuring that provider directories are accurate and up-to-date. Humana has also long supported efforts to create a National Directory of Healthcare Providers and Services, and has provided feedback to CMS about how such a national effort can increase patient satisfaction.

View release on Humana’s website.


About Humana   

Humana Inc. is committed to putting health first – for our teammates, our customers, and our company. Through our Humana insurance services, and our CenterWell health care services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com

About Veda 

Veda blends science and imagination to solve healthcare’s most complex data issues. Through human-in-the-loop Smart Automation, our solutions dramatically increase productivity, enable compliance, and empower healthcare businesses to focus on delivering care. Veda’s platforms are simple to use and require no technical skills or drastic system changes because we envision a future for healthcare where data isn’t a barrier—it’s an opportunity. To learn more about Veda, follow us on LinkedIn

Rural healthcare challenges: How bad data deepens disparities

In rural healthcare, timely access to crucial mental healthcare and other specialized services presents a significant challenge. Over the last decade, numerous rural hospitals have shuttered, with more at risk of closure due to staffing shortages, declining reimbursement rates, diminished patient volume, and challenges attracting talent. The answer to the challenges in rural healthcare is to get more data.

With very few options for specialty and subspecialty providers, rural patients often endure long journeys for necessary care. According to a Pew Research Center report, the average drive to a hospital in a rural community is approximately 17 minutes, nearly 65 percent longer than the average drive time in urban areas. Such systemic failures not only exacerbate disparities but also challenge the very foundation of patient care.

A functioning rural health system relies on legions of specialty care doctors conducting outreach visits across vast geographic areas. In principle, this approach presents an efficient means to provide rural patients with access to specialty care, eliminating the need for extensive travel to major urban centers. However, the persistence of inaccurate data poses a significant barrier to achieving comprehensive access to specialty care in rural regions.

Discover Bob Lindner’s take on how bad data exacerbates rural healthcare challenges and impacts patients on Chief Healthcare Executive.

Connect with Dr. Bob Lindner on LinkedIn. Read more from Bob with Automation, Machine Learning, and the Universe: Q&A with Veda’s Chief Science and Technology Officer and Co-founder, Dr. Bob Lindner

CMS Directory Accuracy Audits and Sanctions: Achieving True Directory Accuracy

The Centers for Medicare & Medicaid Services (CMS) regularly audits health plan programs and provider directories. All health plans providing services to Medicare and Medicare Advantage members are nearly guaranteed to be audited by CMS. By definition, the CMS directory accuracy audits aim to improve patient access and experience. Additionally, many standards for provider directories and network adequacy are developed based on CMS regulations.

Veda works with health plans to prepare for CMS audits and then interpret and address their audit results.

Unfortunately, health plans’ directory accuracy claims may not match with CMS’s findings—in the case of lower accuracy discovered, the plans may receive CMS sanctions and fines. Why are the directory accuracy rates differing and what can be done to reconcile the accuracy rates?

Why do accuracy rates determined by CMS and health insurance providers differ?

ai regulation questions

Many factors determine accuracy rates in provider directories. CMS zeroes in on specific fields (such as name, address, and phone number) for determining accuracy while insurance providers may go further in determining accuracy (such as specialty fields). Here are the reasons why updating directories while maintaining high accuracy levels—is an uphill battle:

  • In anecdotes shared by those in the industry, 20–30% of providers are unresponsive during attestation requests. Attestation is not a sufficient data-collection tool and does not result in data quality.
  • Many systems rely on heavily manual workflows, causing delays in data updates. Human error degrades data quality
  • Provider abrasion and long turnaround times are present when constantly attesting to information
  • Phone calls, even when used for verification, have a 20% variability rate. Meaning, if your call center has two people call the same provider twice in one day, you’ll get a different answer 20% of the time

Why Does CMS Audit Provider Directories?

A few years ago, a CMS Online Provider Directory Review Report looked at Medicare Advantage directories and found that 52% had at least one inaccuracy. The areas of deficiency included such errors as:

  • The provider was not at the location listed,
  • The phone number was incorrect, or
  • The provider was not accepting new patients when the directory indicated they were.

And, despite provisions in the 2021 No Surprises Act legislation, new research has shown that directories remain inconsistent, one study citing “of the almost 450,000 doctors found in more than one directory, just 19% had consistent address and specialty information.” (Let alone complete accurate information including phone numbers.) The audits continually find inaccuracies as the years go on.

How Do Health Plans Prepare for CMS Audits?

Traditional approaches to audit preparation include phone calls and mock audits.

Phone Calls

Pricey and oftentimes inconsistent, call campaigns amount to hundreds of thousands of phone calls being made every day to check data.

Mock Audits

Mimics the audit experience with sample sets of small amounts of data but are not reflective of the overall directory.

These approaches are not sufficient for achieving successful audit results.

What Is CMS Looking for in Audits of Directories?

Not all information is equally important during an audit. The scoring algorithm assigns different weights for fields so if you’re starting somewhere, Veda recommends starting with the key areas of focus: Name, Address, Phone, Speciality, and Accepting Patients.

Addressing the most important data elements with quality validated data will move a health plan towards audit success.

How Veda’s Solutions Interpret and Address CMS Audit Results

CMS performs audits to advocate for members and better outcomes so interpreting audit results is the perfect place to get started with directory updates. Our research shows that when it comes to what members care about it is pretty simple: Choice, Accuracy, and Accessibility —meaning the ability to schedule, with their preferred provider, easily and quickly. On the first try. 

Where to Start For CMS Audit Success

Many health plans are realizing that achieving directory accuracy and audit success is not a one-and-done. An ongoing surveillance approach is needed to confidently prepare and ultimately, achieve success in an audit.  

Veda’s approach consistently evaluates the directory to provide ongoing insights. For example, we leverage technology to identify and prioritize providers for updates who haven’t attested recently, to ensure they have a data trail that supports their current status and information in a directory. By prioritizing bad data, this audit strategy is efficient and effective.

Diagnose your provider directory and fix critical data errors ahead of CMS audits with Veda.

Addressing Challenges in Rural Healthcare Data

HEALTHCARE BUSINESS TODAY — Specialty and subspecialty healthcare services are less likely to be available in rural areas and are less likely to include highly sophisticated or high-intensity care. This exacerbates problems for rural patients seeking specialized care who must travel significant distances for treatment.

It comes as no surprise a 2019 policy brief from the University of Minnesota Rural Health Research Center found that 64% of surveyed rural health clinic staff members reported difficulties finding specialists for patient referral.

A functioning rural health system relies on legions of specialty care doctors doing outreach visits across a wide geography. In theory, that’s an effective way to ensure that rural patients have access to specialty care without traveling to a major metro area. But, bad data is keeping us from achieving complete access to specialty care in rural areas and experts across industries are weighing in on the issue.

Read Chief Science & Technology Officier Dr. Bob Lindner’s entire article addressing rural healthcare data challenges.


Progress in healthcare data quality

Health tech companies have attempted to solve provider data inaccuracy problems with a number of products, platforms, and integrations. No solutions have been able to offer members the ability to easily book an appointment armed with accurate information.

While many solutions focus on gathering all data sources available to identify providers, most don’t have the ability to effectively clean up those databases. That’s where we comes in. Veda is leading efforts to eradicate rural healthcare data challenges in the U.S. Discover how our technology connects patients to the critical care they need while ensuring that individuals are not burdened with unexpected healthcare costs.

AI for Amateurs: Questions Answered by Veda’s AI Experts

Everything You Always Wanted to Know About AI But Were Afraid to Ask


Impossible to miss, 2023 is synonymous with the year AI debuted to the masses. AI capabilities have brought up questions in every industry, including healthcare. Your organization will likely find itself navigating the risks and rewards associated with healthcare AI in the coming year.

But, let’s start with a question you’re too afraid to ask at the company meeting: What is AI? Like, really. We’ve found a lot of false information out there and we’re here as a trustworthy source you can pull information from.

Why is Veda a Trusted Source?

As pioneers who have used AI technology since our founding, we’re passionate advocates for AI and want to ensure everyone else feels comfortable with it too.

Want our credentials? Our technology and data science team has 80 years of collective AI experience. Veda co-founder and Chief Science and Technology Officer, Bob Lindner, is the author of five technology patents on AI, entity resolution, and machine learning. Bob also has over 16 years of experience writing and publishing scientific and academic papers in the artificial intelligence field.

Backed by extensive experience and science, we’re the AI experts.

What is AI?

OFFICIAL ANSWER: Artificial intelligence Is a field of study that focuses on how machines can solve complex problems that usually involve human intelligence.

AI is not one specific tool. It is a field of study. With AI’s computing power, computers can make decisions and predictions, and take actions. An algorithm recommending which movie you should watch next is an AI action.

VEDA’S TAKE: So why does this matter? Why is AI important? By freeing up human resources, AI can reduce manual and often error-prone tasks. Freeing up people so they have the time to do the things they do best, that’s the power of AI.

What is machine learning?

OFFICIAL ANSWER: Machine learning is a sub-field of AI and focuses on algorithms that train models to make predictions on new data without being explicitly programmed. Meaning, the machine learns the way humans do, with experience.

Note: In recent years, some organizations have begun using the terms artificial intelligence and machine learning interchangeably.

Instead of learning step by step, computers using machine learning can learn through trial and error and lots of practice. What does machine learning practice on? Lots and lots of data. The data can be things like images, video, audio, and text. When fed loads of data, machine learning will recognize patterns and make predictions based on these patterns.

AI is not one specific tool. It is a field of study. With AI’s computing power, computers can make decisions and predictions, and take actions.

VEDA’S TAKE: Veda uses machine learning, and therefore, AI for the healthcare industry, every day. For what exactly? To power our provider information. Veda uses machine learning to:

  • Determine correct addresses and phone numbers
  • Transform provider rosters from one format to another
  • Simulate an experience a member may have when booking an appointment

With a patented training data approach, our machine learning can make predictions on a wide variety of new data (that it has never seen before in the training set).

Feeling good about AI and machine learning? Further your AI understanding with these blogs:

Healthcare Business Today: Congress, Bad Data, and Ghost Networks

The Senate Finance Committee has advanced legislation that aims to eradicate ghost networks, a goal that will benefit payers, providers, and patients alike.

As the legislation advances through the halls of Congress, all stakeholders must have a clear understanding of why the bill is necessary and what’s behind all those ghosts anyway.

Ghost networks are provider networks that appear robust and full of available providers but actually contain inaccurate data and, in reality, have limited availability and unreachable providers. These “ghosts” are no longer practicing, not accepting new patients, are not in-network, or have errors in their contact information.

Read Veda CEO Meghan Gaffney’s entire article in Healthcare Business Today.

MedCity News: Healthcare Doesn’t Need More Big Tech

Healthcare Doesn’t Need More Big Tech; It Needs Specialized Tech. Byline by Dr. Bob Lindner in MedCity News.

It’s easy to oversimplify and say, “These big tech companies are now doing healthcare and they’re going to solve everything.” But the reality is that often, the solutions are not going to come from big tech.

READ FULL MEDCITY NEWS ARTICLE

Just like clinicians who specialize in an area of medicine, healthcare’s tech problems need specialized solutions. That’s because the industry doesn’t have a single general issue to solve, healthcare has many discrete issues to address.

To further complicate things, healthcare is not one industry but many industries under the same umbrella. Clinical care, devices, diagnostics, pharmaceuticals, hospitals, payers, and more each has its own unique challenges and opportunities that need to be addressed with unique solutions.

It’s easy to oversimplify and say, “These big tech companies are now doing healthcare and they’re going to solve everything.” But the reality is that often, the solutions are not going to come from big tech.

Our healthcare system is built on a series of complex requirements and regulations that conventional technology solutions aren’t built for. Patient data privacy, regulatory compliance, interoperability, and the sensitivity of medical information call for a specialized set of solutions. A solution for a payment issue isn’t the same as a solution for patient records or network construction, telehealth, provider data, or a condition-specific issue.

These individual problems are being addressed by legions of innovative people working in smaller, more focused organizations where they are experimenting, iterating, pivoting, and getting closer and closer to solutions to the issue they’re addressing. These teams are focusing on singular issues and solutions in a way that bigger, more general tech doesn’t.

To compound the issue, healthcare is an ever-changing industry and requires solution providers to be agile in order to keep up with emerging trends, new discoveries, new regulations, and shifts in patient and provider preferences. These smaller more specialized companies may not have the resources of large tech enterprises; however, they are inherently more adept at quickly iterating solutions, responding to changes, and adapting to evolving needs.

This is why specialized solutions and specialized tech providers are ultimately going to be the problem solvers.

Does this mean that big tech doesn’t have a place? Of course not. Big tech can do what big tech does best: identify, vet, and foster some of these solutions and ultimately scale the right ones.

But what about the funding? These entrepreneurial companies who are developing innovative tools are often start-ups and frequently raising capital at the same time they are building the solution.

A recent Pitchbook report covered by MedCity News included a mixed bag of news for these entrepreneurial companies in the medtech space. The report noted that venture capital funding to medtech appears to have bottomed out in the first quarter of this year and has been ticking slightly upward. That’s the good news. The troubling news is that this year’s medtech funding total may not reach the 2022 funding total of $13.5 billion and certainly won’t even approach the 2021 funding total of more than $19 billion.

In healthcare the stakes are high, and any tech solution needs to operate as a “mission-critical” part of the equation. Think NASA or car safety where there are no margins for error or experimentation like there are if we were building a ridesharing or shopping app. We’re dealing with people’s health and lives on a daily basis. The stakes should be treated as life or death because they are. And the solutions we deploy need to be more than adequate. They need to be infallible.

Connect with Dr. Bob Lindner on LinkedIn. Read more from Bob with Automation, Machine Learning, and the Universe: Q&A with Veda’s Chief Science and Technology Officer and Co-founder, Dr. Bob Lindner

Is Your Data Partner Ready for New AI Regulations?

How to Find the Right Provider Data Vendor Partnership

It seems that almost every week we see new vendor offerings within the provider data management ecosphere—each claiming to offer a revolutionary way of visualizing your data and making impactful improvements for healthcare. The provider data accuracy challenges that health plans and provider organizations face are vast, so it’s not surprising that new health tech companies are quick to capitalize. Caution: all health tech companies may not be keeping new and developing AI regulations in mind when developing their technology.

All health tech companies may not be keeping new and developing AI regulations in mind when developing their technology.

Looking at the Bigger Provider Data Picture

Quality provider data can help the healthcare industry tackle some of the biggest challenges health plans and provider networks face, like onboarding, credentialing, roster creation, and referrals. 

A commitment to improving your provider data can have great ROI potential and long-term impacts on your business and patient populations. But, with all the buzzwords and capability promises from the masses, how do you find the best vendor fit for your business needs?

Necessary Topics to Cover When Vetting Provider Data Vendors

To set you up for partnership success, here are discussion ideas for data vendor conversations:

  1. Find out the vendor’s practices for responsible data collection, storage, and validation. For example, does the vendor keep their data in the U.S.?
    Veda’s Take: You want to ensure any vendor interacting with critical data is not utilizing offshore, 3rd party data processing centers that can unnecessarily expose data and therefore, providers’ information. Consider this: If patient data is protected from offshore processing vendors via HIPAA and other regulations, shouldn’t the same protections be afforded to provider data? Veda offers comprehensive security and data protection and is HITRUST-certified.
  2. Understand the vendor’s business policies regarding AI. For example, how does an AI vendor utilize Language Learning Models? 
    Veda’s Take: Avoid risk by future-proofing your AI policies. Machine Learning can be a powerful tool, but should be approached thoughtfully and aligned with current and future U.S. legislative requirements such as President Biden’s executive order for the Development and Use of Artificial Intelligence. Warning: fewer companies comply with the proposed regulatory requirements than you may think.
  3. Ask about their reporting and measurement. How does the vendor define accurate data and measure it during and after delivery?
    Veda’s Take: Data can be compliant but inaccurate and unusable for health plan members who depend on the data to get care. Be prepared to discuss your business goals and thresholds for accuracy—consider going beyond meeting regulatory guidelines. We think healthcare data should truly be considered “accurate” if it meets a member’s needs when accessing care. 
  4. Discuss what is necessary for your business success. Can the vendor offer the necessary tools to reach your goals and eliminate what is unproven?
    Veda’s Take: Don’t be distracted by tools that may not deliver results or provide value for your goals. For example, APIs are often necessary to save time on automation. Therefore, many businesses focus on the ability to have an API connection and the API integration above even the results the product delivers. Or, in another example, the UX and the interface of a product can become a focal point above the actual functionality of the product. If you can’t trust the data and know how to interpret and use it, then connectivity and appearances don’t matter.
  5. Determine what happens first. Can a vendor partner prioritize your specific business requirements?
    Veda’s Take: All businesses have different objectives and these goals greatly impact priorities. Your vendor should clearly articulate what needs to happen first, upon implementation of the product, to realize immediate value and reach success. There is no one-size-fits-all solution when working with a provider data vendor. Before integration and during the initial conversations is the perfect time to establish an approach to prioritization within business rules. 
  6. Get familiar with the training process. What does the implementation, training, and delivery process look like for your AI data vendor?
    Veda’s Take: How a provider data vendor plans to work with you, and how they plan to train others in your organization, is key to partnership success. Beyond day-to-day use of the tools, how does the vendor recommend using the data and applying the findings? Who should be trained on what tasks? Clear and concise preparation will ready everyone in your organization.

Ensure any vendor interacting with critical data is not utilizing offshore, 3rd party data processing centers that can unnecessarily expose data and therefore, providers’ information.

Once you have a solid understanding of how a potential partner tackles the above objectives, only then can you capitalize on a business case for building a collaborative partnership with a provider data vendor.

Need more ideas on what to ask a potential provider data vendor? See Veda’s Six Questions to Ask Your Provider Data Vendor

Eradicating Ghost Networks from Provider Directories with Accuracy

The REAL Health Providers Act and Veda’s Accurate Data Approach

The bipartisan Requiring Enhanced & Accurate Lists of (REAL) Health Providers Act, introduced by U.S. Senators Michael Bennet (D-Colo.), Thom Tillis (R-N.C.), Ron Wyden (D-Ore.) calls to eradicate ghost networks that are impacting patients nationwide.

What are ghost networks?

A ghost network is a provider network that appears robust and full of available providers but actually contains bad data and thus, much more limited availability and unreachable providers. These “ghosts” are no longer practicing, not accepting new patients, are not in-network, or have errors in their contact information. 

Imagine using a “Find A Doctor” online tool to pick an in-network doctor in the specialty you seek, but when you call to book an appointment, you discover the provider is no longer practicing. That’s a ghost.

Despite the introduction of the bill, recent media coverage, and attention from the Senate Finance Committee, ghost networks are not a new phenomenon. A Yale Law & Policy Review completed in 2021 titled Laying Ghost Networks to Rest: Combatting Deceptive Health Plan Provider Directories declared “…these directories are deeply flawed.”

“ [Ghost networks are a] pervasive issue in the American health care system. A three-phase study of the accuracy of Medicare Advantage directories, which included over 15,000 providers, found that between forty-five and fifty-two percent of provider directory listings had errors, with some individual plans having error rates as high as ninety-eight percent.”

While behavioral health networks are often cited for inaccuracy and the mental health crisis in America has brought adequate network issues to light, inaccurate directories are a systemic issue prevalent across all provider types. All directories have “ghosts.” 

How do ghost networks inhibit care?

Besides adding to patient frustration, ghost networks prevent patients from accessing the care they need. Impactful stories, like this one from the Yale Law & Policy Review,  shed light on the millions of people dealing with the repercussions of inaccurate provider directories each year: 

“KC, who manages her brother’s mental health care, gave up on trying to find an in-network psychiatrist because calling potential providers was taking up so much of her time that it was more cost effective to pay out-of-network rates. “Ironically, I can’t imagine my brother or others in his situation being organized and effective enough to be able to make all these calls and keep track.” [Yale Law & Policy Review]

Additionally, ghost networks have inhibited care by leading to unexpected medical bills. “When Americans are purchasing and using their health insurance, they have the right to know whether their doctors are covered by that plan,” said Ron Wyden (D-Ore). “Too often, seniors and families get health care whiplash when they sign up for a plan only to find out that their preferred doctor is out-of-network, or it’s impossible to find a covered mental health care provider.”

How does the REAL Health Providers Act tackle the issue of ghost networks?

The legislation aims to combat the ghost network problem by, among other things, requiring Medicare Advantage (MA) health plans (beginning with plan year 2026) to verify their provider directory data every 90 days and, if necessary, update that information.

  • If a health plan cannot verify the data, the plan must indicate in its directory that the information may not be up to date.
  • A health plan must also remove a provider within 5 business days if the provider is no longer participating in the plan’s network.
  • If ​​a patient obtains care from an out-of-network provider that a health plan’s directory indicated was in-network at the time the appointment was made, the plan may only charge that patient in-network prices.

The legislation also requires MA health plans to analyze the accuracy of their provider data on an annual basis and submit a report to HHS/CMS with the results of that analysis. HHS/CMS will use this information to publish accuracy scores for each plan’s provider directory.

How does Veda banish ghost networks?

Veda has been at the forefront of efforts to eradicate “ghost networks” in the U.S. for years. Veda understands that progress on this front is essential to connect patients to the critical care they need and ensure that individuals are not burdened with unexpected healthcare costs.

Veda takes a one-two-punch approach to eradicating ghost networks. Veda leverages its patented technology and innovative solutions to first identify where the “ghosts” reside in provider directories and then fills in the gaps left behind once the ghosts have been removed. Using a mix of AI technology, smart automation, and machine learning, Veda’s provider data is proven accurate.

Find the Ghosts

Veda’s Quantym platform identifies the errors in a provider directory

High-volume audit solution that delivers comprehensive, real-time scoring of provider data quality to identify bad data and significantly improve provider directory accuracy

Fill the Gaps with Accurate Data

Veda’s Vectyr tool supplies accurate data to replace the bad data

The most up-to-date, comprehensive, and accurate source of data on healthcare providers, groups, and facilities on the market

Veda understands that ghost networks will not be eliminated by the manual attestation methods of the past.  Manual verification is labor-intensive, expensive, subject to human error and time and again, it’s proven ineffective. The fact is, “attested” data is frequently not “correct” or “accurate.”

Veda’s technology takes provider attestation out of the equation and, in doing so, can more accurately identify where ghost networks exist (by pointing out inaccuracies in the health plans’ provider directory data) and provide solutions to the ghost network problem (by filling in the gaps that are created when the bad data is removed).

It’s time to let technology like Veda’s solve the ghost network problem once and for all. Give your members the accurate information they need to make an appointment for care on their first try.  Contact Veda for a free data assessment.

Want to learn more about ghost networks? Watch a recording of Veda and Mathematica’s November 2, 2023, webinar,  Don’t Get Spooked by Health Care Data: Tackling Zombie Rates and Ghost Networks. Read a summary of the REAL Health Providers Act here.

Leaders of B2B Podcast: Meghan Gaffney

Leaders of B2B podcast quote

In this episode of Leaders of B2B, Meghan Gaffney, CEO and co-founder of Veda, offers an in-depth perspective on the evolving realm of artificial intelligence in healthcare. With her extensive experience, Meghan underscores the transformative impact of implementing AI solutions in medical diagnostics and patient care pathways.

Tune in to learn why a diagnostic approach is essential for effective data management across industries, to identify and address critical issues systematically.

You know your business. We know data.

One Simplified Platform

Veda’s provider data solutions help healthcare organizations reduce manual work, meet compliance requirements, and improve member experience through accurate provider directories. Select your path to accurate data.

Velocity
ROSTER AUTOMATION

Standardize and verify unstructured data with unprecedented speed and accuracy.

Vectyr
PROFILE
SEARCH

The most up-to-date, comprehensive, and accurate data source of healthcare providers, groups, and facilities on the market.

Quantym
DIRECTORY ANALYSIS

Review and refresh your network directory to identify areas that affect your quality metrics.

Resources & Insights

Provider Data Solution Veda Automates Over 59 Million Hours of Administrative Healthcare Tasks Since 2019
October 21, 2024
HealthX Ventures Blog: How Veda Is Aiming to Fix Healthcare’s Broken Provider Directories
October 17, 2024
Contact Veda Today

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