• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to secondary sidebar
  • Skip to footer

  • Opinion
  • Health IT
    • Behavioral Health
    • Care Coordination
    • EMR/EHR
    • Interoperability
    • Patient Engagement
    • Population Health Management
    • Revenue Cycle Management
    • Social Determinants of Health
  • Digital Health
    • AI
    • Blockchain
    • Precision Medicine
    • Telehealth
    • Wearables
  • Life Sciences
  • Investments
  • M&A
  • Value-based Care
    • Accountable Care (ACOs)
    • Medicare Advantage

Ciox Health Acquires Biomedical NLP Company Medal

by Jasmine Pennic 07/28/2020 Leave a Comment

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print
Ciox Health Acquires Biomedical NLP Company Medal

What You Should Know:

– Ciox Health has acquired Medal, Inc., a biomedical Natural Language Processing (biomed-NLP) technology company.

– The acquisition will lead Ciox to better and more quickly enable real-world data in support of research that advances patient care.


Ciox Health, a leading health technology company, today announced its acquisition of San Francisco-based biomedical Natural Language Processing (biomed-NLP) technology company, Medal, Inc., a leader in the application of AI techniques to the interrogation of unstructured medical record data. The acquisition accelerates capabilities to enable real-world data (RWD) in support of research that advances patient care.

The Real-World Data Advantage

As more pharmaceutical and research organizations look to real-world data to accelerate clinical research, reliable identification, and interpretation of phenotypic data from deep inside medical records are becoming paramount. The most relevant information resides in the unstructured data: the surgical reports, pathology reports, imaging reports, discharge summaries, and other clinician-scribed narrative text. Medal’s software helps identify, contextualize, and interpret narrative-based medical notes, leading to the creation of research-grade data sets at scale. The company’s approach to biomed-NLP and deep learning AI is guided and informed by consensus from clinical expert reviewers across therapeutic areas.

“More than 100 million medical records are retrieved and reviewed by Ciox each year from the vast majority of U.S. providers, presenting an unprecedented opportunity to actually bring a true longitudinal perspective to clinical investigation. Ciox works at the first and last mile of U.S. healthcare data,” says Andy McMurry, Ph.D., Chief Science Officer of Medal. “Using Medal AI, Ciox will reduce human expert time and increase the utility of patient data to support biomedical discovery and clinical trials research across many disease areas, including COVID-19. Combining vast biomedical knowledge sources with clinically trained Artificial Intelligence enabling human experts, we are reinventing real-world data for clinical investigation.”

Acquisition Benefits for Ciox Health

This acquisition is the third major recent announcement from Ciox’s growing Real World Data business, following two prior announcements of strategic collaborations with LabCorp and Merck. As health data remains fragmented throughout the U.S. healthcare ecosystem, Ciox is attracting interest in its RWD division from medical research organizations and other partners. This additional feature of the Ciox DataFit Platform through the acquisition of Medal will enable faster and more consistent translational research. 

Why It Matters

“We’re proud to bolster the Ciox Real World Data offering with Medal’s technology and team,” says Pete McCabe, CEO, Ciox. “The team and the biomed-NLP product, combined with Ciox’s technology-enabled ability to create longitudinal records across EHRs and provider systems, remove the friction related to medical records-based clinical research.  We will consistently supply consented, HIPAA-compliant, de-identified, research-grade RWD for complex clinical use cases to commercial researchers in pharma and biotech, as well as government sponsored researchers. The need is particularly highlighted in the COVID-19 research questions being asked by agencies like the FDA, CDC and NIH.”

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print

Tagged With: AI, Artificial Intelligence, Biomedical Knowledge, Biotech, CIOX, Ciox Health, clinical research, Clinical Trials, Deep Learning, FDA, Healthcare Data, Healthcare Mergers & Acquisitions, Healthcare Natural Language Processing, HIPAA, hipaa-compliant, LabCorp, medical records, Natural Language Processing (NLP), NIH, NLP, Partners, Patient Care, Pharma, SAN FRANCISCO, unstructured data

Tap Native

Get in-depth healthcare technology analysis and commentary delivered straight to your email weekly

Reader Interactions

Primary Sidebar

Subscribe to HIT Consultant

Latest insightful articles delivered straight to your inbox weekly.

Submit a Tip or Pitch

Featured Research Report

2026 Best in KLAS Awards: The Full List of Software & Services Winners

Most-Read

The "Platform" Squeeze: Epic Releases Native AI Charting, Putting Venture-Backed Scribes on Notice

The “Platform” Squeeze: Epic Releases Native AI Charting, Putting Venture-Backed Scribes on Notice

Analysis: Oracle Cerner’s Plans for a National EHR

Oracle May Cut 30k Jobs and Sell Cerner to Fund $156B OpenAI Deal

The $1.9B Exit: Why CommonSpirit is Insourcing Revenue Cycle and Tenet is Betting Big on Conifer AI

The $1.9B Exit: Why CommonSpirit is Insourcing Revenue Cycle and Tenet is Betting Big on Conifer AI

KLAS 2026 Rankings: Aledade and Guidehealth Named Top VBC Enablement Firms

KLAS 2026 Rankings: Aledade and Guidehealth Named Top VBC Enablement Firms

Beyond the Hype: New KLAS Data Validates the Financial and Clinical ROI of Ambient AI

Beyond the Hype: New KLAS Data Validates the Financial and Clinical ROI of Ambient AI

Anthropic Debuts ‘Claude for Healthcare’ and Opus 4.5 to Engineer the Future of Life Sciences

Anthropic Debuts ‘Claude for Healthcare’ and Opus 4.5 to Engineer the Future of Life Sciences

OpenAI Debuts ChatGPT Health: A ‘Digital Front Door’ That Connects Medical Records to Agentic AI

OpenAI Debuts ChatGPT Health: A ‘Digital Front Door’ That Connects Medical Records to Agentic AI

From Genes to Hackers: The Hidden Cybersecurity Risks in Life Sciences

From Genes to Hackers: The Hidden Cybersecurity Risks in Life Sciences

Utah Becomes First State to Approve AI System for Prescription Renewals

Utah Becomes First State to Approve AI System for Prescription Renewals

NYC Health + Hospitals to Acquire Maimonides in $2.2B Safety Net Overhaul

NYC Health + Hospitals to Acquire Maimonides in $2.2B Safety Net Overhaul

Secondary Sidebar

Footer

Company

  • About Us
  • 2026 Editorial Calendar
  • Advertise with Us
  • Reprints and Permissions
  • Op-Ed Submission Guidelines
  • Contact
  • Subscribe

Editorial Coverage

  • Opinion
  • Health IT
    • Care Coordination
    • EMR/EHR
    • Interoperability
    • Population Health Management
    • Revenue Cycle Management
  • Digital Health
    • Artificial Intelligence
    • Blockchain Tech
    • Precision Medicine
    • Telehealth
    • Wearables
  • Startups
  • Value-Based Care
    • Accountable Care
    • Medicare Advantage

Connect

Subscribe to HIT Consultant Media

Latest insightful articles delivered straight to your inbox weekly

Copyright © 2026. HIT Consultant Media. All Rights Reserved. Privacy Policy |