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Healthcare de Jure: Meghan Gaffney, CEO and Co-Founder of Veda

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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.

Healthcare NOW Radio: Healthcare de Jure

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.

Meghan Gaffney Named a Women in Health IT to Know 2024

Women are working to shape and enhance the future of healthcare through health IT. These strong female leaders are modernizing administrative healthcare processes, cutting back on inefficiencies, standardizing workflows and more.

Read the full list from Beckers Hospital Review

Meghan Gaffney. CEO and Co-founder of Veda (Madison, Wis.). As CEO and co-founder, Ms. Gaffney is instrumental in shaping Veda into a pioneering force in the data automation sector and a key player in the provider data management market. She oversees the strategic direction of the a Series B company, steering it through significant growth phases and forming partnerships with commercial plans and industry giants like Humana. Her leadership has also contributed to the company’s recent achievement of third-party validation for its AI technology. With over 15 years of experience in healthcare policy, Ms. Gaffney is adept at navigating complex regulatory environments and leveraging technology opportunities to address pressing issues such as “ghost networks” in healthcare provider directories. A 2023 EY Entrepreneurial Winning Women, Ms. Gaffney also contributes to the Entrepreneur Leadership Network and shares her insights on venture capital dynamics within the digital health startup ecosystem.

Beckers Hospital Review

Meghan Gaffney interviewed on The Tate Chronicles discussing Veda products

The Tate Chronicles Dispatches from the frontline of Health IT


https://www.youtube.com/watch?v=-HR0VAiZelg

What Threat or Opportunity Should Health IT Leaders be Keeping Their Eye On?

Healthcare IT Today — With how fast the world of healthcare is evolving, it is impossible to stay up to date on every single thing that is happening, especially once you factor in the amount of work that is required in every health IT job. There is no way that health IT leaders can be aware of every single threat or opportunity they need to keep an eye on, or at least there’s no way to do that if they try to do it alone. Thankfully, we are here to make sure that none of you are left to handle all that work by yourself. In order to get a good range of insights and opinions on what threats and opportunities health IT leaders should be looking out for, we reached out to our incredibly talented Healthcare IT Today Community while at ViVE 2024. The following video is a compilation of their answers!

Read the full article from Healthcare IT Today here


Veda First to Achieve Third-Party Data Validation from Erdős Institute, Reinforcing Commitment to Accountable AI-Powered Solutions in Healthcare

Independent Audit Says Veda’s AI Precision Exceeds 90%, Solving Ghost Networks and Payer Network Attestation Challenges

MAY 6, 2024 – MADISON, WI Veda, a leading health technology company specializing in provider data solutions, announced today that it has achieved third-party validation from the prestigious Erdős Institute, an independent organization of university PhDs advancing the fields of Data Science and Machine Learning.

Following a blind independent review of Veda’s AI-powered data curation engine—the backbone of its product stack—Erdős Institute researchers found highly accurate provider directory data with certain accuracy scores exceeding 90 percent for critical information like addresses, locations, and phone numbers.

By facilitating accurate provider directory data, as mandated by the No Surprises Act, validation of Veda’s proprietary curation and machine learning methodologies represents a pivotal milestone in Veda’s journey towards fostering greater transparency and accountability in payer data solutions.

“As skepticism surrounds AI tools in healthcare, validation from the Erdős Institute underscores Veda’s commitment to leading the market with ethical and reliable solutions,” said Meghan Gaffney, Co-Founder and CEO of Veda. “While outdated methods for maintaining accuracy and compliance continue to fail, Veda is proof positive that automation is an effective and necessary approach to supporting health plan members who rely on provider directories to find care.”

A rigorous analysis by Erdős not only demonstrates Veda’s commitment to AI excellence but also sheds light on the prevalent issue of ‘ghost networks,’ or inaccurate provider directories. Yale Law and Policy Review found 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. 

Increased pressure on state and federal lawmakers to protect seniors from surprise medical bills and improve access to mental health treatment has spurred a wave of bipartisan legislation seeking to hold commercial and Medicare Advantage plans accountable. 

In a crowded marketplace of payer solutions, the independent validation from Erdős sets a new benchmark for accuracy and compliance.

“Our blinded study found that Veda’s data-driven automation is capable of producing accurate provider data quickly and efficiently,” said Roman Holowinsky, PhD, Managing Director of the Erdős Institute. “Automated, real-time provider datasets like Veda’s can greatly benefit the market and save users a lot of time over manual attestation or intervention.”

To access a copy of the whitepaper, please visit vedadata.com/case-studies/erdos-white-paper-vedas-ai-precision-exceeds-90.

About Erdős Institute:

The Erdős Institute is a multi-university collaboration focused on helping PhDs get jobs they love at every stage of their career. Founded in 2017, the Institute helps train and place a diverse pool of PhDs through boot camps, workshops, mini-courses, consulting opportunities, and direct employer connections. For more information, visit www.erdosinstitute.org

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 is simple to use and requires 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.

We promise accuracy, and we deliver.

Why It Took Language Processing For AI To Go Mainstream

Scientists and technologists have been using AI for decades. We’ve used it to do complicated calculations and run algorithms and equations that we couldn’t previously conceive of. Your favorite streaming services have been using it for years to recommend shows and movies. But looking at media coverage of the past year, you’d think that AI was just developed. Why is mainstream AI language processing now taking off?

In late 2022, did AI experience an onslaught of media attention that made it seem like it was a new functionality? Why are legislators and regulators now racing to regulate something that has been in existence for about the same length of time as the color TV?

Learning To Learn

Tools powered by AI have essentially learned to learn. The language models we’re all seeing now train themselves with two primary algorithms. First, they can look at any sentence in any context and try to predict the next one.

The other way that language models try to learn is by guessing words in a sentence if some words are randomly removed. These are examples of implicit supervised training, and it’s made possible because these tools use the entire corpus of the internet as training data. This is the actual breakthrough.The other way that language models try to learn is by guessing words in a sentence if some words are randomly removed. These are examples of implicit supervised training, and it’s made possible because these tools use the entire corpus of the internet as training data. This is the actual breakthrough.

Read Chief Science & Technology Officier Dr. Bob Lindner’s entire article on Mainstream AI Language Processing.


ViVE 2024 – Veda Media Mentions

Humana and Veda Press Coverage ViVE 2024

The Humana and Veda partnership was announced at the ViVE 2024 health tech conference. Here is what the media had to say. . .


This move bodes well for Humana as it spends a good chunk of time in calls to confirm provider data. Inaccurate and inconsistent data from provider directories will cause friction in the process of finding a provider, thereby increasing administrative work for providers, health plans and seniors.
-Nasdaq


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.
-Fierce Healthcare


Keeping provider directories up to date is often a massive undertaking for health plans and providers. In the past, Humana has had to make “millions of calls annually” to make sure its provider directory is accurate.
-MedCity News


Lawmakers have pressed insurers to improve their provider directories. In October, Sens. Thom Tillis, Ron Wyden and Michael Bennet introduced the Requiring Enhanced & Accurate Lists of (REAL) Health Providers Act, which would strengthen requirements for Medicare Advantage plans to maintain accurate directories.

Becker’s Payer Issues also cited an April 2023 study in JAMA Health Forum (which found physician information is often inconsistent across payer directories) to emphasize the challenges associated with provider data.
-Becker’s Payer Issues


Veda will use its automation technology to analyze, verify, and standardize Humana’s data, ensuring accurate provider data.
-Vator.tv.


The Humana and Veda partnership has come full circle after Veda got its start in a Humana hackathon back in 2016.
-Digital Health Wire

WATCH: Meghan Gaffney Shares Insights on HealthTech Industry

Interview by Dennis Dailey of HIT!Show at ViVE 2024. Watch to hear Meghan Gaffney insights on Healthtech industry trends.

“We’ve finally made the jump from AI as an idea to AI really moving the needle for plans and providers,” remarks Meghan Gaffney, Co-Founder and CEO of Veda, during our video interview at the event.

“At Veda, we like to say, ‘We build technology that helps people, help people,‘” Meghan continues, reflecting on her background in public policy and the company’s mission to tackle healthcare infrastructure challenges.

Meghan shares insights into Veda’s partnership with Humana, highlighting their efforts to enhance provider directory accuracy for Medicare Advantage members.

“The complexity is that there are six million healthcare providers… We really focus on using technology to make the entire exchange of information easy for both the provider and the payer,” she explains.

Discussing industry trends, Meghan emphasizes the significance of regulations like the Real Provider Act and their impact on ensuring patients’ access to accurate healthcare information. “There’s going to be an increased focus on making sure that every patient has access to the right information to get care,” she adds.

“We’re excited about being a part of that conversation and bringing AI into the mainstream,” Meghan concludes, expressing Veda’s commitment to advancing the potential of AI technology in healthcare.

See you next year at ViVE!

What Will It Take to Transform the Rural Healthcare Landscape?

HealthTech Magazine

The way for success in the rural healthcare landscape is to make it easy to find a doctor, to be a doctor and to pay a doctor,” said Bob Lindner during a ViVE 2024 education session on the challenging rural healthcare landscape. “All of these three things have challenges that can be traced back to the data.”

Bob Lindner Chief Science and Technology Officer at Veda Data Solutions

Many rural healthcare organizations are struggling due to current reimbursement models and lack of resources. This can have an impact on patients in rural areas, who often face challenges with care access.

Health IT leaders from different parts of the industry addressed these pain points and what needs to happen to keep rural healthcare organizations afloat.

Data Can Drive Change for Rural Healthcare

Lindner shared a story of an organization that wanted to know why it was so hard for patients to find appointments for addiction medication. He said it was important to analyze the data because the reason could have been that there were enough providers, but they were hard to find on a website; that there weren’t enough providers and the industry needs to recruit more; or that there were enough providers accepting patients, but they were scheduling them out so far, they might as well have been unavailable.

“You don’t want to jump to a conclusion and try to solve something without understanding what your actual problem is,” said Lindner.

Amy Gleason, chief product officer at Main Street Health, said that many rural healthcare organizations are using older electronic health record systems, and some are still using paper charts. Not having a robust EHR setup makes it difficult for these health systems or clinics to determine which patients have missed screenings or other trends in their patient population. Gleason pointed out that while health plans try to provide their own data to rural organizations, they may all do that in a different way with a different portal. Clinicians don’t have the time to log in to different portals or find out how to get into a spreadsheet — and often, their EHR can’t handle that influx of data anyway. Read the full article from HealthTech.

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. 

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.

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Standardize and verify unstructured data with unprecedented speed and accuracy.

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PROFILE
SEARCH

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

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DIRECTORY ANALYSIS

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

Resources & Insights

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Q&A with Veda’s Co-Founders: Patented AI Approach for Provider Data
February 6, 2025
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