The most up-to-date, comprehensive, and accurate source of data. Your organization can access profiles of every active provider in the U.S.—over 6 million.
See how we’ve helped leading healthcare organizations achieve significant cost savings, improve data accuracy, and enhance patient care. Here, you will find our results, research, reports, and everything else our scientists are testing in the Veda Lab – no lab coat required.
At Veda we understand that every data point is an opportunity to improve the healthcare experience. And we can see the potential when data is no longer a barrier.
Healthcare organizations today face an immense challenge: ensuring data accuracy and accessibility in a complex, often fragmented industry. Meghan Gaffney, CEO of Veda Data Solutions, is tackling these healthcare data challenges head-on.
In a recent episode of the Healthcare Strategy Podcast, Gaffney, whose unique journey spans nearly 15 years in healthcare policy to tech entrepreneurship, discussed how AI-driven healthcare solutions can bridge critical gaps.
Meghan covers the impact Veda’s technology has had on healthcare organizations. Please read about our automation, which saves money and improves the member experience.
Meghan Gaffney: 5 Reasons Why Women Build Great Companies
Read CEO and Co-Founder of Veda Meghan Gaffney’s Medium.com Interview
Medium Authority Magazine — Women-led businesses are on the rise, and the data shows they often outperform their peers. From fostering strong company cultures to driving innovation and long-term success, women bring unique strengths to entrepreneurship and leadership. What are the key reasons behind their success? Read Meghan Gaffney‘s interview with Authority Magazine below.
Thank you so much for doing this with us! Before we dig in, our readers would like to get to know you a bit more. Can you tell us a bit about your “backstory”? What led you to this particular career path?
I worked on Capitol Hill during the development of the Affordable Care Act and had the unique opportunity to hear perspectives on the future of healthcare from hospital executives, insurers, and patient advocates. Data was at the center of many challenges patients faced when accessing care, but it wasn’t the focus of any proposed solutions. I learned most patients simply want the basics: the ability to find a provider who they can easily and quickly book an appointment with. Quite simply, I knew there had to be a better way for people to access a provider.
Can you share the most interesting story that happened to you since you began your career
What I’ve found over and over again is how bipartisan healthcare is. From working on Capitol Hill to CEO of a healthcare technology company, healthcare’s impact is universal. It’s a rare piece of common ground for both sides of the aisle.
Can you share a story about the funniest mistake you made when you were first starting? Can you tell us what lesson you learned from that?
One of the mistakes I made in the early fundraising days was trying to contort our business into something that it wasn’t to appeal to a broader audience. We were offering technology that was fundamentally different from what everyone else was doing in Silicon Valley and initially, instead of leaning into that, I tried to appeal to everyone. Even down to my slide deck framework, I made it look like what the market was used to seeing.
I learned broad visions that address all areas of a market can muddy the water on what your next steps are. It’s difficult to find out where your product will fit if it fits everywhere. I quickly realized an authentic voice and viewpoint was far more valuable than doing what everyone else was doing.
If we can speed up end-point to end-point connections of the healthcare lifecycle and remove additional steps in the clerical process, it will result in improved patient experiences.
However, simplifying workflows isn’t enough unless the data driving the information is accurate and timely.
In the fast-paced world of healthcare, sluggish provider data is a liability, not a luxury. Backlogged rosters pile up, decisions stall, and resources drain away. But what if provider data moved faster?
How Veda’s Speed Redefines Provider Data Management
Imagine what is possible when automation delivers provider rosters at unprecedented speeds. That’s the power of Veda. We’re not just automating data; we’re redefining it. In the future of provider data, speed isn’t just a goal – it’s how we connect health systems and payers to solve complex healthcare data challenges.
Manual provider data approaches are specifically troublesome when handling large provider rosters, some containing hundreds of rows. Handling the volume of data created in healthcare every day is unfeasible without AI.
Where AI Comes In
One of the main benefits of AI is the ability to quickly wrap up tasks—especially when compared to manual methods and reduced processing times free up resources for other meaningful tasks.
Large, unruly provider rosters or atypical formats? Not a problem with robust and reliable (and patented) AI. When data quality is maintained by automation, it also means rosters don’t need addressing or fixing again later.
AI also delivers on what we call “synthetic attestation.” This is an attestation that occurs with no provider intervention or effort. While this is important in all specialties, it’s especially impactful for behavioral health when providers do not have precious moments available to pick up the phone and self-attest. Synthetic attestation uses the data providers are already creating in their day-to-day workflows.
Faster Data, Faster Care
With accurate data that quickly gets to where it needs to be, providers are displayed correctly, decision-making is improved, and patients have faster access to care.
Digital Health Transformers podcast host Gregory Cave is joined by Meghan Gaffney, CEO and Co-Founder of Veda. She discusses the importance of accurate provider data, the challenges patients face in accessing specialized care, and how AI is transforming healthcare operations. Meghan explains how Veda automates the transfer of provider data to health plans, helping patients find in-network providers quickly and efficiently.
Meghan covers the impact Veda’s technology has had on healthcare organizations-read about our automation that saves money and improves member experience.
Meghan: When we founded Veda, we set out to create lasting infrastructure in the healthcare industry that allows accurate data to flow automatically between payers and providers. That meant inventing new ways of processing data that were both secure and accurate, and then publishing our work through the patent process. Ten years later, we are staying true to those objectives— we’ve built AI tools to modernize healthcare and we’ve shared our discoveries through the patent process so our solutions can fuel further innovation.
Bob: We needed to bring a fresh perspective to the problems surrounding provider data that have remained stagnant for over four decades. By creating wholly new approaches to the trillion-dollar data administration problem in healthcare, we knew that our solutions were innovative and unique. So we began early in our company’s history with the patenting of Veda’s technology—protecting our inventions in the short term, while also benefitting all of us in the long run.
Veda’s patents protect our entity resolution engine, AI modeling engine, ML training data process & platform, and web-scale data collection.
How else has Veda committed to AI development?
Bob: I’m an astrophysicist and I built AI tools in radio astronomy before founding Veda. Scientists have been building innovative AI tools for decades and have a cultural rigor that drives them to test and publish their findings.
We’ve recruited a team of PhD scientists—from physics to molecular genetics and astronomy—who help build and test Veda’s in-house LLM technology, train our machine learning models, and develop the infrastructure that is the foundation for Veda’s patented systems.
What makes your AI systems different from others in the industry?
Bob: Our AI is trained on Veda’s proprietary training data, which is ethically sourced and high quality. Our training data is used to fine-tune Veda’s models and help solve critical healthcare-specific tasks with the highest possible performance.
Plus, Veda’s AI models are entirely owned by Veda with no external dependencies. Our application of AI differentiates us from others in the industry because it leverages LLMs and contextual understanding but does not produce hallucinations. We allow the model to select correct answers, not to invent free-form text.
Meghan: Our company is founded on scientific rigor and was built specifically for healthcare from Day 1. We have over 80 combined years of AI expertise, and our commitment to science and data integrity compels us to approach problems differently. It hasn’t always been easy. We did the hard work upfront. We threw out the rule book and asked ourselves, “How do I ensure I can access care?”
Putting ourselves in the patients’ shoes is how we began to turn these challenges on their heads and look at them differently—we’ve calibrated our success to the patient’s ability to use the data to access care. What does that mean technologically? It means our AI systems must provide hallucination-free, predictable, and measurable results because that is what our customers expect and it is what patients deserve.
Bob: It was essential we build the system in a new way. The blend of patents is what makes our AI systems so unique. The patented technology works together, in parallel, to accomplish complex data curation challenges with speed and accuracy that was previously thought impossible.
Which provider data problem is Veda’s AI solving?
Bob: All of them. But the one I’m particularly excited about, and that our most recently granted patent underscores, is our ability to automate intake at scale.
Meghan: Veda’s technology isn’t just a single model. It offers many capabilities working in tandem towards one comprehensible function. There are several foundational data challenges that our technology solves. One of the unique benefits of our patented technology is that it can be assembled in different ways to address many kinds of healthcare industry problems.
Bob: For example, our patented entity resolution system efficiently matches the identity of healthcare providers. The special challenge in this problem is that healthcare providers change lots of their information over the course of their careers, so the system needs to connect their identities while allowing for a normal amount of drift in some fields over time.
Why do you need AI to solve provider data problems?
Meghan: Veda’s AI can cut through data barriers and ensure that people can access care when they need it the most. That’s why we founded Veda—because everyone deserves access to accurate, up-to-date information that empowers them to get the care they need.
What are the risks of using AI in healthcare and how can they be mitigated?
Meghan: While everyone is looking to AI and automation for solutions, in healthcare the AI isn’t living up to the hype. In a race to reduce costs, many have lost sight of the problem they are trying to solve and have left out foundational components of professional services, actual results, and rigorous testing. In fact, I think the irresponsible development of some AI tools could negatively impact the companies that are taking a transparent and tested path.
For instance, imagine a business trying a new product for the first time, and it doesn’t go well. It breaks, it’s costly, and leaves a negative impression. After that bad experience, you might be reluctant to try another product in that category. This can happen with AI too—if one company delivers poor results, people might dismiss AI solutions altogether and revert to outdated methods, which ultimately hurts innovation.
Bob: We succeed with AI when it is effective, robust, and focused on responsibly making an impact. While there is a risk posed by poorly designed and underperforming tools, I see an opportunity for Veda to prove our integrity to the industry. We’re proud to showcase our patented AI and machine learning solutions, which were developed and tested with an unwavering commitment to scientific rigor and ethical, security-forward principles.
Ready for Veda’s provider data solutions? Contact us.
Veda Announces Tenth AI and Machine Learning Patent
Proprietary Technology Leads the Health Data Industry
MADISON, February 6, 2025 – Veda Data Solutions, Inc. (Veda), a healthcare technology company solving complex provider data challenges, announced its tenth patent has been granted by the United States Patent and Trademark Office, with four patents secured in the last four months.
“Our provider data solution is the only one of its kind,” said Veda Chief Science & Technology Officer and patent author Dr. Bob Lindner. “The 10 patents work in tandem to deliver automation, speed, and provider data accuracy that others can’t match. Our IP portfolio spans the entire operational pipeline from web-scale data collection, entity resolution, automatic semantic recognition and transformation, accuracy modeling, and human-in-the-loop interactivity.”
Why did Veda patent its AI technology?
Veda is committed to building responsible and transparent AI. The patent process is rigorous and ensures inventors are both creating technology with unique value while also openly sharing their research to fuel an innovation ecosystem.
What does Veda’s patented AI technology do?
Veda’s patented technology definitively solves provider data problems plaguing the healthcare industry.
Veda offers the optimal solution for automatic mass-scale demographic information management along with automatic roster ingestion, directory accuracy, network construction, and network adequacy optimization.
Veda’s best-in-class product leaves behind flawed, biased, and outdated notions of “sources of truth” and attestation, instead leaning on artificial intelligence and sound scientific design to produce reliable and reproducible results.
Is Veda’s AI secure?
Veda’s AI systems are HITRUST-certified and built entirely in-house. Veda’s implementation of its patented technology is bias and hallucination-free with all customer data and services fire-walled within the United States for maximum security.
At Veda, provider data is treated with the same reverence for security and privacy that is required for patient data.
What is next for Veda’s proprietary innovations?
With 14 more pending patents, Veda continues innovating to remain the optimal solution for provider data roster automation and data accuracy scoring.
“Veda’s technology isn’t only patented, it’s powerful. Innovated precisely for healthcare organizations and their unique data problems, our patents are essential to the delivery of fast and accurate data to Veda’s customers,” said Veda CEO Meghan Gaffney. “Veda was the first to tackle the provider roster data problem successfully and continues to develop innovative solutions in healthcare data today. With our patented approach, organizations can dramatically reduce operating costs by automating complex business rules for data extraction, transformation, and loading.”
About Veda Veda blends science and imagination to solve healthcare’s most complex data issues. Using AI, machine learning, and human-in-the-loop 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, visit vedadata.com and follow us on LinkedIn.
9 Questions Leaders Should Ask Themselves to Help End Employee Burnout
Read Veda CEO Meghan Gaffney’s Entrepreneur Leadership Network article
Entrepreneur — While eating well, moving your body and getting rest are familiar wellness mantras and advice that continue to ring true year after year, employers can go further for the well-being of their employees in 2025.
I’ve fully embraced the cliche and, every New Year, I make business resolutions. This year, I’m focused on well-being. As a tech entrepreneur in the healthcare space, well-being is often at the forefront of my mind. While eating well, moving your body and getting rest are familiar mantras and advice that continue to ring true year after year, employers can go further for the well-being of their employees in 2025.
After attending a strategic forum for business leaders earlier this year, I walked away with a deeper understanding of wellness and how, as an employer to a remote workforce, I can support employees and their well-being by taking strategic aim at ending the workplace’s most dreaded feeling: burnout.
When exhaustion is up, productivity goes down
At the pace of business today, we’re all at risk for burnout. With calendars full of meetings and an overflowing inbox greeting us before we’ve had our first cup of coffee, many people are feeling exhausted before they even start their day. Need a business reason why exhaustion is detrimental to your company? It’s not difficult to find statistics and research proving exhausted employees have impaired work performance (via the Journal of Occupational and Environmental Medicine).
According to research presented by Frank Giampietro, Chief Wellbeing Officer at Ernst & Young, productivity decreases and IQ starts to drop at 350 digital interactions per day (digital interactions include emails and Slack messages). Have a busy day of solving problems and interacting with colleagues? That 350 adds up fast.
Questions to ask yourself for holistic employee wellness
To achieve holistic wellness for employees and avoid burnout (while keeping productivity up), here are nine questions employers should ask themselves in 2025:
Are you supporting their physical health? Supporting physical health can mean times for walks during the workday, friendly step challenges, or gym stipends. Flexibility with workday and meeting scheduling of course creates the most opportunity for physical health. This way, someone can catch their favorite noon yoga class or get in a swim before the workday begins.
Can meeting behavior be addressed? According to Giampietro, even a 5-minute break between meetings increases well-being scores and lowers anxiety. Stick to meeting etiquette guidelines and include agendas and action items with each invite. Better yet, cancel some unnecessary meetings. At the very least, every meeting attendee should know why they are there and what the outcome is.
Are you going far enough with flexibility? Schedule flexibility that allows for switching loads of laundry, attending a middle school recital or an important friend gathering is commonplace. Go further and consider what else may impact an employee’s workday and time. There may be a major event taking place in their city or, common in 2024, extreme weather that needs time and attention for preparation and cleanup. Extra time in the day away from work to manage life responsibilities can go a long way for an employee’s well-being.
Pulse 2.0 Interview With CEO & Co-Founder Meghan Gaffney About The Healthcare Innovation Company
Pulse 2.0 — Veda is on a mission to accelerate the ability to access the care patients need, reduce financial loss in the healthcare system, and create efficiencies that drive healthcare innovation. Pulse 2.0 interviewed Veda CEO and co-founder Meghan Gaffney to learn more about the company.
Meghan Gaffney’s Background
During my time working on Capitol Hill during the development of the Affordable Care Act, I had a unique opportunity to hear diverse perspectives on the future of healthcare from hospital executives, plans and patient advocates. Data was a central theme in many of the challenges patients faced when accessing care, yet it wasn’t the focus of any proposed solutions. As a mom searching for care for my kids, I personally felt the same provider data gap that Veda solves today. My professional and personal experiences pointed to a desperately needed solution: patients need accurate information to make healthcare truly accessible. This led me to co-found Veda in 2015.
Formation Of Veda
The idea for Veda came from a combination of professional insight and personal experience. While working on Capitol Hill and experiencing the gaps in provider data firsthand, I realized the need for accurate healthcare information. A colleague introduced me to my co-founder, Bob Lindner, an astronomer skilled in AI tools for data processing. Together, we entered and won a hackathon, which focused on correcting errors in provider directories. This success led us to leave our previous fields and build Veda, addressing the critical need for accurate provider data in healthcare.”
“Today, we blend science and imagination to solve health care’s most complex data issues. Its solutions increase productivity, enable compliance and empower health care businesses to focus on delivering care. Veda’s platform requires no technical skills or system changes because the team envisions a future for health care where data isn’t a barrier — it’s an opportunity.
Healthcare de Jure host Matt Fisher is joined by Meghan Gaffney, CEO and Co-Founder of Veda. They discuss background on provider directories and difficulties of confirming accuracy of information; inconsistent application of accountability requirements; policy update on pending Congressional bills; discussion of how technology is promoting better data and presenting more readily.
From public policies and Federal initiatives to privacy and security, join host Matt R. Fisher as he and his guests discuss a smorgasbord of topics, giving hospitals, physicians, vendors and patients a seat at the table. Matt’s virtual conversations can be listened to on demand or heard on air. So don’t miss a minute of what’s on the menu.
Perspectives for Payers on Tackling Ghost Networks
MedCity News – Lawmakers have ghost networks in their sights, and payers can prepare now for policy changes.
It’s not uncommon for a patient, when searching their insurer’s provider directory, to find listings for physicians who are no longer practicing and no longer in-network, as well as inaccurate addresses, phone numbers, and websites. These phantom entries create “ghost networks” in health insurance.
For more than a year ghost networks have made headlines as an increasingly serious issue for payers, providers, and especially patients. Riddled with inaccurate data, these networks often lead to delayed care and surprise bills, significantly impacting member experiences and trust.
Frustrated patients have been contacting their elected officials to address the ubiquity of ghost networks. Legislators have been hearing from constituents that this problem is impacting patients’ lives and ability to get care–and they are doing something about it. Three bills–two in the Senate, and one in the House–have been proposed that specifically address inaccuracies in health insurance provider directories, with more stringent guidelines, tighter timeframes, published scores, and possible fines if providers fail to keep their directories compliant.
Payers have good reason to prepare for any regulation changes now as the traditional means of checking directory accuracy–call campaigns, attestations, or manual roster intake–are cumbersome and costly processes that have not proven effective.
What is proven? Automated solutions to meet the implementation windows and level of accuracy these new bills propose.
Policy reform initiatives
Three recent legislative efforts are aimed at addressing the root causes of ghost networks and enhancing healthcare access for patients.
U.S. Senators Michael Bennet (D-CO), Thom Tillis (R-NC), and Ron Wyden (D-OR) introduced the REAL Health Providers Act in October 2023. The bipartisan-supported bill is backed by the Senate Finance Committee and aims to ensure that Medicare Advantage plans keep accurate directories and protect their members–most of them seniors–from receiving surprise medical bills.
The House version of the REAL Health Providers Act – H.R. 7708 – was introduced in March 2024 by Representatives Greg Murphy (NC-03) and Jimmy Panetta (CA-19), among others. It mirrors the language in the Senate bill and aims to protect seniors from delayed care and unnecessary costs.
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.
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