News: 3Aware and John Snow Labs announce partnership to deliver multimodal de-identification inside the 3Aware Evidence Vault | CitizenWire. INDIANAPOLIS, Ind. and LEWES, Del. /CitizenWire/ - 3Aware today announced a formal partnership with John Snow Labs to embed their world-class multimodal de-identification capabilities directly within the 3Aware Evidence Vault, enabling health systems to unlock governed, privacy-protected real-world clinical data for scalable research and commercialization-while keeping data and analytic processing inside the provider environment. The partnership combines 3Aware's Evidence Vault model, built to activate longitudinal, multimodal clinical data under each health system's strict governance and controls, with John Snow Labs' in-environment de-identification technology for multimodal clinical data, including structured data and unstructured EHR data, PDFs, DICOM, FHIR, and text reports. John Snow Labs' capabilities-available at no charge to 3Aware's healthcare provider data partners-are integrated directly into 3Aware's native data curation and transformation workflow. Together, the companies will help health systems operationalize HIPAA Expert Determination workflows, preserve longitudinal linkage through consistent tokenization, and accelerate the creation of research-ready cohorts without moving raw patient data outside institutional control. With this foundation in place, 3Aware can scale in silico, non-interventional observational studies by more easily surfacing and interpreting the longitudinal clinical context embedded across complete episodes of care, including the unstructured clinical narrative that structured coding and claims typically miss. Faster de-identification via John Snow Labs reduces the time needed to onboard new health system partners and produce research-ready datasets-supporting both internal KOL-led research and life sciences-funded research collaborations at greater scale-within the 3Aware Evidence Vault. As 3Aware expands from industry-sponsored evidence programs to support investigator-led research within academic medical centers, the combined solution accelerates comparative effectiveness research (CER) and value analysis across interventions, pathways, procedures, and patient subgroups. "This partnership advances our core principle: health systems shouldn't have to choose between protecting patient privacy and unlocking meaningful evidence," said William (Bill) Moss, CEO of 3Aware. "By integrating John Snow Labs' multimodal de-identification inside the 3Aware Evidence Vault, we're making it easier for providers to participate as Commercial Data Partners-safely generating scalable, defensible real-world evidence and enabling new, non-reimbursement revenue through governed research collaboration." "As healthcare organizations move from pilot projects to scalable secondary use, the ability to de-identify multimodal clinical data where it lives is foundational," said David Talby, CEO, John Snow Labs. "Partnering with 3Aware brings our de-identification capabilities into a federated evidence infrastructure designed for real operational constraints: governance, auditability, and reliable outputs." "For health systems, de-identification is one of the biggest determinants of whether secondary-use research can scale responsibly," said Neil Martin, former Chief Quality Officer of Geisinger, former Chief Medical Officer of Providence Southern Division, and 3Aware Strategic Advisory Board Member. "Having trusted, world-class multimodal de-identification capabilities embedded directly within the 3Aware Evidence Vault helps mitigate risk and accelerates the ability to participate, so health systems can unlock research value while maintaining the privacy protections and governance patients and institutions expect." ABOUT 3AWARE 3Aware provides a Clinical Scientific Workbench and Evidence Vault that enable health systems to generate real-world evidence from longitudinal clinical records-structured and unstructured-processed within the health system's secure cloud. The platform supports rapid cohort definition, preserves full episode-of-care context, and uses interpretive AI to surface determinant clinical signals for defensible analysis. This model strengthens investigator-led research within partner institutions and enables MedTech manufacturers to run in silico, non-interventional observational studies on devices as used at the point of care. Today, 3Aware supports 15 leading manufacturers, including Medtronic(R), Johnson & Johnson(R), Boston Scientific(R), Stryker(R), BD(R), Zimmer Biomet(R), CONMED(R), and Teleflex(R). See https://3aware.ai/ for more information. ABOUT JOHN SNOW LABS John Snow Labs is a healthcare AI company whose medical language models are used by 500+ enterprise customers across health systems, payers, life sciences organizations, and government agencies. Its de-identification platform removes PHI from structured data, clinical notes, FHIR, PDFs, DICOM, and SVS images, with regulatory-grade accuracy, validated across billions of patient notes and in peer-reviewed research. All processing runs inside the customer's secure environment: no data leaves institutional control, and every pipeline produces confidence scores and audit logs that meet HIPAA Expert Determination standards. John Snow Labs also provides clinical NLP, medical LLMs, OMOP harmonization, and terminology services that let healthcare and life sciences teams build production-grade data pipelines without moving raw patient records off-premises. See https://www.johnsnowlabs.com/ for more information. Information is believed accurate but is not guaranteed. For questions about the above news, contact the company/org/person noted in the text and NOT this website.

3Aware and John Snow Labs announce partnership to deliver multimodal de-identification inside the 3Aware Evidence Vault. July 22, 2026 - 3Aware today announced a formal partnership with John Snow Labs to embed their world-class multimodal de-identification capabilities directly within the 3Aware Evidence Vault, enabling health systems to unlock governed, privacy-protected real-world clinical data for scalable research and commercialization - while keeping data and analytic processing inside the provider environment. The partnership combines 3Aware's Evidence Vault model, built to activate longitudinal, multimodal clinical data under each health system's strict governance and controls, with John Snow Labs' in-environment de-identification technology for multimodal clinical data, including structured data and unstructured EHR data, PDFs, DICOM, FHIR, and text reports. John Snow Labs' capabilities - available at no charge to 3Aware's healthcare provider data partners - are integrated directly into 3Aware's native data curation and transformation workflow. Together, the companies will help health systems operationalize HIPAA Expert Determination workflows, preserve longitudinal linkage through consistent tokenization, and accelerate the creation of research-ready cohorts without moving raw patient data outside institutional control. With this foundation in place, 3Aware can scale in silico, non-interventional observational studies by more easily surfacing and interpreting the longitudinal clinical context embedded across complete episodes of care, including the unstructured clinical narrative that structured coding and claims typically miss. Faster de- identification via John Snow Labs reduces the time needed to onboard new health system partners and produce research-ready datasets - supporting both internal KOL-led research and life sciences-funded research collaborations at greater scale - within the 3Aware Evidence Vault. As 3Aware expands from industry-sponsored evidence programs to support investigator-led research within academic medical centers, the combined solution accelerates comparative effectiveness research (CER) and value analysis across interventions, pathways, procedures, and patient subgroups. "This partnership advances our core principle: health systems shouldn't have to choose between protecting patient privacy and unlocking meaningful evidence," said William (Bill) Moss, CEO of 3Aware. "By integrating John Snow Labs' multimodal de-identification inside the 3Aware Evidence Vault, we're making it easier for providers to participate as Commercial Data Partners - safely generating scalable, defensible real-world evidence and enabling new, non-reimbursement revenue through governed research collaboration." "As healthcare organizations move from pilot projects to scalable secondary use, the ability to de-identify multimodal clinical data where it lives is foundational," said David Talby, CEO, John Snow Labs. "Partnering with 3Aware brings our de-identification capabilities into a federated evidence infrastructure designed for real operational constraints: governance, auditability, and reliable outputs." "For health systems, de-identification is one of the biggest determinants of whether secondary-use research can scale responsibly," said Neil Martin, former Chief Quality Officer of Geisinger, former Chief Medical Officer of Providence Southern Division, and 3Aware Strategic Advisory Board Member. "Having trusted, world-class multimodal de-identification capabilities embedded directly within the 3Aware Evidence Vault helps mitigate risk and accelerates the ability to participate, so health systems can unlock research value while maintaining the privacy protections and governance patients and institutions expect." About 3Aware. 3Aware provides a Clinical Scientific Workbench and Evidence Vault that enable health systems to generate real-world evidence from longitudinal clinical records - structured and unstructured - processed within the health system's secure cloud. The platform supports rapid cohort definition, preserves full episode-of-care context, and uses interpretive AI to surface determinant clinical signals for defensible analysis. This model strengthens investigator-led research within partner institutions and enables MedTech manufacturers to run in silico, non-interventional observational studies on devices as used at the point of care. Today, 3Aware supports 15 leading manufacturers, including Medtronic(R), Johnson & Johnson(R), Boston Scientific(R), Stryker(R), BD(R), Zimmer Biomet(R), CONMED(R), and Teleflex(R). About John Snow Labs. John Snow Labs is a healthcare AI company whose medical language models are used by 500+ enterprise customers across health systems, payers, life sciences organizations, and government agencies. Its de- identification platform removes PHI from structured data, clinical notes, FHIR, PDFs, DICOM, and SVS images, with regulatory-grade accuracy, validated across billions of patient notes and in peer-reviewed research. All processing runs inside the customer's secure environment: no data leaves institutional control, and every pipeline produces confidence scores and audit logs that meet HIPAA Expert Determination standards. John Snow Labs also provides clinical NLP, medical LLMs, OMOP harmonization, and terminology services that let healthcare and life sciences teams build production-grade data pipelines without moving raw patient records off-premises. See johnsnowlabs.com for more information. Participation. To request an overview of the 3Aware Evidence Vault or discuss participation, contact 3Aware, Inc..

John Snow Labs ranked highest in the MarketsandMarkets(TM) 360quadrant for NLP in Healthcare and Life Sciences. PR Newswire DELRAY BEACH, Fla., July 16, 2026 DELRAY BEACH, Fla., July 16, 2026 /PRNewswire/ - John Snow Labs, the industry leader in medical language models, has been ranked highest, at the top of the Progressive Companies quadrant, in MarketsandMarkets(TM) 360Quadrants NLP in Healthcare and Life Sciences Startups/SMEs Companies Assessment Report, 2026, which evaluated over 190 companies. The recognition reflects John Snow Labs' production-proven record across 500+ enterprise customers in health systems, life sciences, payers, and government, and its position as the top-ranked model provider on 12 of 13 clinical and biomedical AI benchmarks against current general-purpose frontier models. John Snow Labs provides healthcare-specific language models and pipelines that healthcare and life sciences organizations use to put clinical data to work: Medical LLMs, Healthcare NLP (3,000+ pre-trained models), multimodal de-identification, OMOP harmonization, no-code annotation, and Patient Journey Intelligence. Every component runs inside the customer's environment (cloud or on-premises) with no patient data ever leaving that security perimeter. The company has 70+ published case studies to date and its de-identification and clinical data abstraction solutions have been validated on multiple billion-document-scale real-world deployments. With 40+ peer-reviewed papers and 150M+ downloads of its open-source libraries, John Snow Labs also brings academic rigor and transparency to the evaluation of healthcare AI. "John Snow Labs sets itself apart in our analysis by supporting the full application and end-user footprint of this market - clinical documentation, information extraction, de-identification, medical coding, cohort identification, and real-world evidence generation - proven by both peer-reviewed papers and real-world deployments across leading healthcare providers, payers, pharmaceuticals, and government agencies," said Sushmit Chakraborty, Senior Manager - Market Intelligence & Growth Strategy Leader, MarketsandMarkets(TM). "Healthcare organizations need AI that meets the accuracy and compliance standards of a regulated clinical environment - not general-purpose models retrofitted for healthcare," said David Talby, CEO, John Snow Labs. "Being ranked highest in this analysis reflects what our customers already know: that purpose-built medical language models running privately inside your own environment produce better results, at a far lower cost compared to frontier API models." About the 360Quadrants Evaluation 360Quadrants, powered by MarketsandMarkets(TM), evaluated companies in its NLP in Healthcare and Life Sciences Startups/SMEs Companies Assessment Report, 2026. The evaluation covered over 190 companies, with the top 25 categorized and recognized as quadrant leaders. Factors such as revenue, geographic presence, growth strategies, investments, demand channels, and sales strategies were analyzed to determine each company's position in the quadrant. The main criteria for assessing product footprint included Offering (Software, Services), Deployment Mode (Cloud, On-premises), NLP Type, NLP Technique (Optical Character Recognition, Named Entity Recognition, Sentiment Analysis, Text Classification, Topic Modeling, Text Summarization, and others), Application, and End User. About MarketsandMarkets(TM) MarketsandMarkets(TM), recognized as one of America's Best Management Consulting Firms by Forbes as per their recent report, is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. With a broad lens on emerging technologies, the company is proficient in co-creating exceptional growth for clients worldwide. Today, 80% of Fortune 2000 companies rely on MarketsandMarkets, and 90 of the top 100 companies in each sector trust it to accelerate their revenue growth. With a global clientele of over 13,000 organizations, MarketsandMarkets helps businesses thrive in a rapidly evolving world, consulting on TAM expansion, go-to-market (GTM) strategy to execution, market share gain, account Enablement, and thought leadership marketing. About 360Quadrants 360Quadrants is the largest marketplace looking to disrupt over USD 3.7 trillion of technology spend and is the rating platform for vendors in the technology space. The platform provides users with unbiased information that helps them make informed business decisions, while also enabling vendors to influence the business decisions of potential clients. Vendors get to win ideal new customers, customize their quadrants, decide key parameters, and position themselves strategically in a niche space, to be consumed by giants and start-ups alike. Experts grow their brands and increase their thought leadership. The platform targets the building of a social network that links industry experts with companies worldwide. About John Snow Labs John Snow Labs, the AI for healthcare company, provides state-of-the-art software, models, and data to help healthcare and life science organizations put AI to good use. Developer of Medical LLMs, Healthcare NLP, multimodal de-identification, the Generative AI Lab, and the Patient Journey Intelligence Platform, John Snow Labs' award-winning medical AI software powers the world's leading academic medical centers, pharmaceuticals, and health technology companies. Creator and host of the Applied AI Summit (formerly the NLP Summit), the company is committed to further educating and advancing the global AI community. * Health * Fitness / Wellness * Magazines / Gossip * White Chronicle * Medicine - various * Software * Computer hardware imagesmode Images (1) Contact details Related press. calendar_today 15/07/2026 Fitness / Wellness Medicine - various Discover affinities bookmark_border calendar_today 29/05/2025 Pharmaceuticals Information Technology Telecomunicazioni