Breaking Healthcare Data Barriers
VEDA VISION
Improving Healthcare Provider Data Accuracy and Integrity
OUR APPROACH
All of our products are fueled by Veda’s proprietary, AI-driven approach to collecting and augmenting provider data.
AI-Enabled Automation
Veda is configured to solve a broad array of healthcare data challenges using semantic recognition, active learning, and human-in-the-loop automation. No matter the shape or format of your data, our AI-driven automation returns your new and improved data in under 24 hours, with guaranteed accuracy.
Data Quality Engine
The platform never sleeps. Your data goes through our proprietary two-phase engine and is then constantly inspected for ongoing changes. The first phase, entity resolution, prepares your data for scoring by cleaning and organizing it. It then gets corrected with our supervised machine learning system, where it’s validated against trusted external sources.
Ongoing Measurement
Healthcare data is constantly evolving, and you need a platform that can calibrate just as fast. We understand the systems you use to house critical provider and prescriber data. Veda’s engine inspects your data and adjusts it on an ongoing basis for both user-facing and internal clarity.
Advanced Technology, Superior Results
WHAT MAKES VEDA DIFFERENT
Veda helps you get it right by employing rigorously tested AI and Machine Learning tools to identify, validate, and enhance your data. The data goes through a meticulous process, but don’t let our comprehensive system fool you—your data is delivered within hours.
AUTOMATION
There are two types of data that healthcare organizations have to coordinate. Static information, which rarely changes over time (birthday, residency, medical school credentials, etc.); and temporal information, which changes at varied rates (practice address, phone number, group affiliation, etc.). Veda fully automates status and temporal data, boosting accuracy and reducing provider barriers. This validation process is automated in real-time, a fundamental advantage for healthcare companies seeking effective data structure.
DATA RECONCILIATION
As temporal data evolves, Veda’s entity resolution follows. Veda accounts for data drifts over time, so our entity resolution is calibrated to recognize correct data from the abundant sources available today. New data is always cleansed and standardized, then consolidated within your database to eliminate duplicates.
MEASURE PERFORMANCE
Our technology packs the punch, but our human-in-the-loop approach ensures there’s always a professional there to assess the results. Veda’s team of data scientists carefully monitors your data’s success, creating statistical models, sample sizes, and methodology to consistently guarantee accuracy. This attention to detail ensures your specialty and data demands are evaluated and performing at the highest level.
TEST OUTCOMES
Even with 90%+ accuracy, Veda doesn’t rely on automation to do all the work. The Veda team inspects all aspects of your delivered data, including quality, delivery methods, bugs, and errors with a continuous monitoring process. Your assurance comes first, which is why we guarantee our outcomes across the board: speed, accuracy, and compliance.
Our Team of Data Experts
WHO WE ARE
Our team of data scientists, engineers, and industry experts is dedicated to solving healthcare’s most pressing data challenges. We combine deep domain knowledge with cutting-edge technology to deliver exceptional results.
Our Leaders
Our executive team, a perfect mix of scientists, visionaries, analysts, and creatives, represents the multiplicity we bring to the table. They spark innovation in healthcare data and pilot our supportive and inclusive workforce.
Meghan Gaffney
Meghan has over 15 years of experience in the political sector, working to navigate how new technologies can thrive in our regulatory environment. She is a fierce advocate for Artificial Intelligence, Machine Learning, and the winner of countless awards for her entrepreneurship.
Bob Lindner, PhD
Dr. Bob Lindner is a full-stack data scientist who specializes in cloud-based machine learning systems. He earned his doctorate in astrophysics from Rutgers University and was a postdoctoral researcher at University of Wisconsin-Madison where he built machine-learning tools for radio astronomy.
Dylan Gaffney
Dylan heads the engineering team at Veda. He is responsible for aligning the product vision, roadmap and research priorities with rapid engineering timelines. Leading a team located across the U.S. and in Ireland, Dylan is passionate about building solutions in the healthcare field using machine learning and AI.
What use cases are you intersted in exploring
What use cases are you intersted in exploring
What use cases are you intersted in exploring
What use cases are you intersted in exploring
Help Build The Future Of Data-Driven Healthcare
JOIN THE VEDA TEAM
Like what you see? If the Veda story has you curious, see if there’s a spot for you. Browse our open positions within the U.S. and Ireland and apply today.
