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

  • COVID-19
  • Opinion
  • Health IT
    • Behavioral Health
    • Care Coordination
    • EMR/EHR
    • Interoperability
    • Patient Engagement
    • Population Health Management
    • Revenue Cycle Management
    • Social Determinants of Health
  • Digital Health
    • Artificial Intelligence
    • Blockchain
    • Mobile Health
    • Precision Medicine
    • Telehealth
    • Wearables
  • Startups
  • M&A
  • Value-based Care
    • Accountable Care (ACOs)
    • Medicare Advantage
  • Life Sciences
  • Research

TriNetX Launches NLP Service to Extract Clinical Facts From Physician Notes & Clinical Reports

by Jasmine Pennic 12/13/2017 Leave a Comment

TriNetX NLP Service

TriNetX, a global health research network for healthcare organizations, biopharmaceutical companies, and Contract Research Organizations (CROs), today announced the general availability of its Natural Language Processing (NLP) service. TriNetX’s NLP service utilizes sophisticated algorithms to extract clinical facts from physician notes and clinical reports, links them with other Electronic Medical Record (EMR) data, and makes the combined data available for assessing study feasibility, protocol design, site selection, and subsequent identification of patients for clinical trials.

The TriNetX NLP service is based on technology from Averbis, a text-mining and machine-learning company headquartered in Germany. TriNetX chose Averbis as its NLP partner because of Averbis’ experience applying NLP within healthcare, the accuracy of their solution across various data domains including oncology, and the ability to work with multiple languages.

Members access TriNetX Live to analyze patient populations and perform “what-if” analyses in real-time. Users of the platform are presented with aggregate views, but each data point in the TriNetX network can be traced to healthcare organizations who have the ability to identify individual patients, allowing clinical researchers to develop virtual patient cohorts that can then be re-identified for potential recruitment into a clinical trial.

In addition to the structured data already available in TriNetX such as demographics, diagnoses, procedures, medications, labs, genomics, and deep oncology data, NLP provides access to data derived from clinical documentation including discharge summaries, radiology reports, pathology reports, and others that contain critical information that is important to more accurately identify candidates for a clinical trial. TriNetX’s NLP service mines unstructured data, such as measurements and observation on ECOG performance status for oncology, NYHA classification, Ejection Fraction, and Corrected QT Interval for cardiac studies. NLP also collects information from clinician notes for patients whose hospital medical records may be incomplete due to visits to multiple healthcare facilities. The extracted data is subsequently mapped to standardized clinical terminologies that can be easily analyzed by researchers using TriNetX Live.

“With the TriNetX NLP service, we are able access data that our researchers have been very interested in for some time,” said Jack London, PhD., Informatics Core Director, Sidney Kimmel Cancer Center at Jefferson and Professor of Cancer Biology, Thomas Jefferson University in a statement. “Extracting this data from our clinical text reports helps our investigators better define and identify patient cohorts, and provides a larger data set for our academic and industry clinical research collaborations.”

Tagged With: Clinical Reports, Clinical Trials, Natural Language Processing (NLP), Physician Notes, Progress Notes, TriNetX

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

Most Popular

Survey: Clinician Burnout Is A Public Health Crisis Demanding Urgent Action

17 Execs Share How Health IT Can Address Clinician Burnout, Staffing, & Capacity

Q/A: Dr. Johnson Talks Racial Disparities in Breast Cancer Care

Q/A: Dr. Johnson Talks Racial Disparities in Breast Cancer Care

Northwell Health Extends Contract with Allscripts Sunrise Platform Through 2027

Northwell to Deploy Epic Enterprise EHR Platform Across System

Sanofi Cuts Price of Lantus Insulin by 78% & Caps Out of Pocket Costs at $35 for All Patients

Sanofi Cuts Price of Lantus Insulin by 78% & Caps Out of Pocket Costs at $35 for All Patients

Pfizer Acquires Seagen for $43B to Tackle Cancer

Pfizer Acquires Seagen for $43B to Tackle Cancer

5 Key Trends Driving Purchasing Decisions in Healthcare IT

5 Key Trends Driving Purchasing Decisions in Healthcare IT

Sanofi to Acquire Diabetes Therapy Maker Provention Bio for $2.9B

Sanofi to Acquire Diabetes Therapy Maker Provention Bio for $2.9B

Dr. Arti Masturzo

Q/A: Dr. Masturzo Talks Addressing Food Insecurity with Patients

Transcarent Acquires 98point6 AI-Powered Virtual Care Platform and Care Business

Transcarent Acquires 98point6 AI-Powered Virtual Care Platform and Care Business

Eli Lilly Cuts Insulin Prices by 70%, Caps Patient Costs at $35 Per Month

Eli Lilly Cuts Insulin Prices by 70%, Caps Patient Costs at $35 Per Month

Secondary Sidebar

Footer

Company

  • About Us
  • Advertise with Us
  • Reprints and Permissions
  • 2023 Editorial Calendar
  • Submit An Op-Ed
  • 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 © 2023. HIT Consultant Media. All Rights Reserved. Privacy Policy |