--- title: How HealthVerity transforms messy real-world data into trusted insights description: Discover how HealthVerity ensures quality and privacy for EMR and unstructured notes using ML, frequency filtering, and the power of the HVID. image: https://blog.healthverity.com/hubfs/ask-an-expert-blog-featured-alt-5.png --- Announcing HealthVerity Precision Event Alerts, a next-generation physician alerting solution. [Learn more](https://healthverity.com/news/healthverity-precision-event-alerts-launch/) - [Contact](https://healthverity.com/contact/) - [Sign In](https://marketplace.healthverity.com/login/?next=/marketplace/) [![HealthVerity-Logo-Dark-3](https://blog.healthverity.com/hs-fs/hubfs/HealthVerity-Logo-Dark-3.png?width=1662&height=320&name=HealthVerity-Logo-Dark-3.png)](https://healthverity.com/) - How We Help - Featured Content - [HealthVerity MarketplaceTM](https://healthverity.com/marketplace/healthverity-marketplace/) - [HealthVerity TaxonomySM](https://healthverity.com/taxonomy-portal/) - [Life Sciences](https://healthverity.com/life-sciences/) - [Identity Manager (HVID)](https://healthverity.com/identity-manager/) - Data Ecosystem - [HealthVerity MarketplaceTM](https://healthverity.com/marketplace/healthverity-marketplace/) - [HealthVerity TaxonomySM](https://healthverity.com/taxonomy-portal/) - [Precision Event Alerts](https://healthverity.com/precision-event-alerts/) - [HealthVerity Mastersets](https://healthverity.com/mastersets/portal/) - 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[PatientSourceDUOTM](https://blog.healthverity.com/hubfs/HealthVerity-Symphony-PDFs/HealthVerity-Symphony-Health-Factsheet-PatientSourceDUO.pdf) - [Symphony FLEXTM](https://blog.healthverity.com/hubfs/HealthVerity-Symphony-PDFs/HealthVerity-Symphony-Health-Factsheet-Symphony-FLEX.pdf) - [CustomerSource®](https://healthverity.com/symphony-health/integrated-dataverse-and-source-solutions/) - [DiagnosticSource®](https://blog.healthverity.com/hubfs/HealthVerity-Symphony-PDFs/HealthVerity-Symphony-Health-Factsheet-DiagnosticSource.pdf) - [NonRetailSource®](https://blog.healthverity.com/hubfs/HealthVerity-Symphony-PDFs/HealthVerity-Symphony-Health-Factsheet-NonRetailSource.pdf) - Symphony Technology - [Symphony HealthCloud](https://healthverity.com/symphony-health/health-technology-and-business-intelligence-solutions/) - [Synoma Data Integration](https://healthverity.com/symphony-health/health-technology-and-business-intelligence-solutions/) - [Vantage Applications](https://blog.healthverity.com/hubfs/HealthVerity-Symphony-PDFs/HealthVerity-Symphony-Health-Factsheet-Vantage-Applications.pdf) - 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How We Help - Symphony - Who We Serve - Resources - [Careers](https://healthverity.com/careers/) - [About Us](https://healthverity.com/about-us/) [Request Demo](https://healthverity.com/request-demo/) Featured Content ###### HealthVerity MarketplaceTM The nation’s largest healthcare and consumer data ecosystem ###### taXonomy Pathways Unique features per therapeutic area with claims, labs and EHR including notes ###### HealthVerity eXOs AI-native real-world evidence generation ###### Identity Manager (HVID) Standalone de-identification as a service Data Ecosystem HealthVerity MarketplaceTM HealthVerity TaxonomySM HealthVerity Notes Precision Event Alerts HealthVerity Mastersets Media Measurement Syndicated Audiences Insurance Underwriting Technology Products Identity Manager (HVID) HealthVerity for Clinical Trial Linkage HealthVerity for Commercial Smart Contracts HealthVerity for Registries Symphony Health Platform ###### Symphony Health Overview Seamless Data. Stronger Insights. Smarter Decisions. ###### Integrated Dataverse Integrated Dataverse (IDV®) is de-identified claims data platform that combines medical, hospital, prescription, and demographic data into a single unifed view. ###### Symphony HealthCloud Securely store, integrate, access, and analyze virtually unlimited volumes of data with Symphony HealthCloud. Symphony Solutions Health technology and business intelligence solutions Integrated Dataverse and Source Solutions Brand strategy and sales HealthRankings Market access Patient Journey Medicines affordability Symphony Products PayerSource® PrescriberSource® PatientSource® PatientSourceCompleteTM PatientSourceDUOTM Symphony FLEXTM CustomerSource® DiagnosticSource® NonRetailSource® Symphony Technology Symphony HealthCloud Synoma Data Integration Vantage Applications Metys ###### Life Sciences Technology solutions from development through commercialization ###### Channel Partners HealthVerity enables partners to unlock unprecedented value and insights for clients ###### Government Comprehensive and compliant solutions to manage the nation’s care ###### Data Ecosystem Partners Join the nation’s largest data partner ecosystem ###### Insurance Insurance-grade solutions that excel in managing risk and rebates ###### HealthVerity Blog Insights and updates from industry experts ###### Publications Peer-reviewed research and discoveries ###### News & Events Stay informed about our latest announcements and happenings ###### The IPGE Approach Fundamentals that power everything that we do and every solution we offer ###### Resource Library Explore guides, webinars, and tools to enhance your understanding ###### Zombie Data Explained Learn how data quality drives better research outcomes [Thought Leadership](https://blog.healthverity.com/tag/thought-leadership), [Solutions & Best Practices](https://blog.healthverity.com/tag/solutions-best-practices) # How HealthVerity transforms messy real-world data into trusted insights [By - HealthVerity,](https://blog.healthverity.com/author/healthverity) August 28, 2025 ![](https://blog.healthverity.com/hubfs/ask-an-expert-blog-featured-alt-5.png) **![ask an expert at healthverity](https://blog.healthverity.com/hs-fs/hubfs/ellen-ike-header.png?width=2500&height=729&name=ellen-ike-header.png)** **(Part 2)** In [Part 1](https://blog.healthverity.com/how-healthverity-ensures-real-world-data-quality-and-privacy) we explored how [HealthVerity Marketplace](https://healthverity.com/marketplace/) delivers high-quality, privacy-compliant real-world data through rigorous validation, the Theseus pipeline, and continuous quality monitoring. In Part 2, we go into the data types that pose the biggest challenges, how HealthVerity handles complex formats like unstructured notes, and what makes the data in HealthVerity Marketplace fundamentally different from traditional aggregators with two members of the HealthVerity Data Quality Assurance team: **Ike Osuagwu**, **Manager of Data Quality**, and **Ellen McCleskey, PhD**, **Senior Data QA Engineer.** ## Why EMR/EHR and chargemaster data are harder to clean Not all real-world data is structured in the same way. Electronic medical records (EMR), also known as electronic health records (EHR) and chargemaster data are known to be particularly messy, especially when they involve multiple tables attempting to represent a single patient event. “We see a lot of variation in EMR data,” said Dr. Ellen McCleskey, Senior Data QA Engineer at HealthVerity. “EMR/EHR, chargemaster, anything where multiple tables coalesce to form one patient event, that’s definitely where you see the messiest of things,” added Ike Osuagwu, Manager of Data Quality. EMR data can vary widely depending on the provider system, the software used, and the documentation practices of clinicians. These differences **must be reconciled** before any dataset reaches HealthVerity Marketplace, where clients depend on **consistency, completeness, and privacy compliance that HealthVerity Marketplace provides**.   ## How HealthVerity de-identifies and validates unstructured notes Unstructured clinician notes introduce a different level of complexity. These free text entries often contain highly variable language, shorthand, and even direct patient identifiers (Figure 1). ![healthverity notes example](https://blog.healthverity.com/hs-fs/hubfs/healthverity%20notes%20example.png?width=520&height=338&name=healthverity%20notes%20example.png) Figure 1: Examples of three clinical notes that might found in HealthVerity Notes data with PII that must be addressed. [HealthVerity Notes](https://healthverity.com/notes/)was designed to solve this problem by turning unstructured clinical documentation into structured, research-ready data that meets the same high standards as the rest of HealthVerity Marketplace.  > “We have doctors that write patient names in notes and you’ll find more de-identification issues the less common something is. We use a privacy filter so that over 97% of the most common distinct entries for a field are filtered out right away.” - **Ike Osuagwu**, **Manager of Data Quality**  To handle this challenge, HealthVerity uses a multi-layered approach to privacy and quality: - **Frequency-based filtering** helps flag rare or unusual terms that may indicate personally identifiable information. - **Machine learning models** are trained on known patient names as well as the context in which they typically appear. For example, the system is able to spot phrases like, “Sarah came in on this day” as likely containing a name. - **Privacy and QA teams** work together to review flagged content and continuously refine filtering techniques. These protections ensure that clients using unstructured data from HealthVerity Marketplace receive data that is not only de-identified, but also fit for generating real-world evidence. ## Why HealthVerity Marketplace delivers BETTER real-world data Many vendors claim to offer clean, usable real-world data, but the scale and sophistication of the HealthVerity ecosystem provide several critical advantages. “I personally think it’s the volume of data that we have that allows us to compete at a level that other people just can’t” said Ike Osuagwu. > “What really helps us compete, is that the HVID is so powerful with tracking a patient’s journey from some arbitrary start date all the way through the present day. It’s at a level that’s rarely seen in our competitors.” - **Ike Osuagwu**, **Manager of Data Quality** The HealthVerity ID (HVID) enables accurate, longitudinal patient tracking across open and closed claims, labs, EMR, and even unstructured notes. This makes it possible for clients to build cohorts that reflect real clinical experiences over time, not just isolated encounters. Just as important is the active feedback loop with data suppliers. When potential issues are identified, they are addressed before the data can ever be surfaced in HealthVerity Marketplace. “A big thing is PII,” said Ike Osuagwu. “If found, it does not make it past the person who found it. It gets pulled out of the data by the privacy team, and then we go back to the vendor letting them know that, ‘Hey, you sent us patient information.’” This proactive model sets HealthVerity apart. Rather than simply aggregating files, HealthVerity acts as a data steward, ensuring that clients only receive datasets that have been verified and certified to meet the highest standards. ## Delivering real-world evidence from complex data types Whether it comes from EMR systems, clinician notes, or claims databases, real-world data is rarely clean when it first arrives. What matters is how that data is transformed into something trustworthy, usable, and privacy-compliant. Through expert QA teams, automated validation processes, and proprietary identity technology, HealthVerity delivers structured insights from even the most chaotic sources. And with every dataset available through [HealthVerity Marketplace,](https://healthverity.com/marketplace/) clients can access real-world data with full confidence in its accuracy, completeness, and governance. 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[READ MORE](https://blog.healthverity.com/healthverity-transforms-messy-real-world-data-into-trusted-insights) #### Who we serve - [Life Sciences](https://healthverity.com/life-sciences/) - [Government](https://healthverity.com/government/) - [Insurance](https://healthverity.com/insurance/) - [Channel Partners](https://healthverity.com/channel-partners/) - [Data Ecosystem Partners](https://healthverity.com/data-ecosystem-partners/) #### How we help - [HealthVerity Marketplace](https://healthverity.com/marketplace/) - [HealthVerity Mastersets](https://healthverity.com/mastersets/) - [HealthVerity FLOW](https://healthverity.com/flow/) - [The IPGE Approach](https://healthverity.com/ipge-approach/) #### Resources - [HealthVerity Blog](https://blog.healthverity.com/) - [News & Events](https://healthverity.com/resources/news-and-events/) - [Resource Library](https://healthverity.com/resources/resource-library/) - [Publications](https://healthverity.com/resources/publications/) #### Our company - [About Us](https://healthverity.com/about-us/) - [Leadership](https://healthverity.com/about-us/#leadership) - [Board of Directors](https://healthverity.com/about-us/#board) - [Careers](https://healthverity.com/careers/) - [Contact](https://healthverity.com/contact/) ©2026 HealthVerity, Inc.    |    [Terms & Conditions](https://healthverity.com/terms-and-conditions/)    |    [Privacy Policy](https://healthverity.com/privacy-policy/) ![](https://px.ads.linkedin.com/collect/?pid=4361946&fmt=gif) ```json { "@context" : "https://schema.org", "@type" : "BlogPosting", "articleSection" : "Data Insights", "author" : { "@type" : "Organization", "name" : "HealthVerity" }, "dateModified" : "2026-09-02", "datePublished" : "2026-09-02", "description" : "Learn how HealthVerity transforms fragmented, unstandardized healthcare data into clean, HIPAA-compliant, and actionable real-world evidence for life sciences and healthcare leaders.", "headline" : "HealthVerity transforms messy real-world data into trusted insights", "keywords" : [ "real-world data quality", "RWD standardization", "healthcare data governance", "data harmonization", "taXOnomy", "real-world evidence", "PPRL", "HIPAA compliance", "patient journey mapping" ], "mainEntityOfPage" : { "@id" : "https://blog.healthverity.com/healthverity-transforms-messy-real-world-data-into-trusted-insights", "@type" : "WebPage" }, "publisher" : { "@type" : "Organization", "logo" : { "@type" : "ImageObject", "url" : "https://blog.healthverity.com/hubfs/healthverity-logo.png" }, "name" : "HealthVerity" }, "url" : "https://blog.healthverity.com/healthverity-transforms-messy-real-world-data-into-trusted-insights" } ``` ```json { "@context" : "https://schema.org", "@type" : "FAQPage", "mainEntity" : [ { "@type" : "Question", "acceptedAnswer" : { "@type" : "Answer", "text" : "Raw healthcare data comes from disparate sources—such as medical claims, EMR systems, lab feeds, and pharmacy systems—each with unique data formats, coding standards, duplicate entries, and missing fields that obscure the true patient journey." }, "name" : "Why is raw real-world healthcare data often considered 'messy'?" }, { "@type" : "Question", "acceptedAnswer" : { "@type" : "Answer", "text" : "HealthVerity applies automated data governance frameworks and harmonization engines, like taXOnomy, to normalize disparate coding systems, deduplicate overlapping records, and convert raw clinical feeds into structured, interoperable datasets." }, "name" : "How does HealthVerity standardize and clean real-world data?" }, { "@type" : "Question", "acceptedAnswer" : { "@type" : "Answer", "text" : "Using Identity Manager and Privacy-Preserving Record Linkage (PPRL), HealthVerity resolves patient identities across siloed data sources using persistent, encrypted tokens (HVIDs). This eliminates duplicate records and accurately tracks patient longitudinal outcomes while preserving HIPAA privacy." }, "name" : "What role does identity management play in ensuring data quality?" }, { "@type" : "Question", "acceptedAnswer" : { "@type" : "Answer", "text" : "Uncleaned or unharmonized data introduces severe bias and misclassifications into health economics, epidemiology, and commercial studies. Clean, trusted real-world data ensures that life sciences teams, payers, and regulatory bodies like the FDA can depend on research findings." }, "name" : "Why is clean real-world data critical for life sciences analytics?" } ] } ``` ```json { "@context" : "https://schema.org", "@type" : "BreadcrumbList", "itemListElement" : [ { "@type" : "ListItem", "item" : "https://healthverity.com/", "name" : "Home", "position" : 1 }, { "@type" : "ListItem", "item" : "https://blog.healthverity.com/", "name" : "Blog", "position" : 2 }, { "@type" : "ListItem", "item" : "https://blog.healthverity.com/healthverity-transforms-messy-real-world-data-into-trusted-insights", "name" : "HealthVerity transforms messy real-world data into trusted insights", "position" : 3 } ] } ```