• 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

Northwell Health Adopts NLP Tech to Accelerate Patient Identification for Clinical Trials

by Jasmine Pennic 03/14/2019 Leave a Comment

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print

Northwell Health Adopts NLP Tech to Accelerate Patient Identification for Clinical Trials

Northwell Health has implemented Clinithink’s natural language processing (NLP) solution, CLiX ENRICH to reinvent the clinical trial feasibility model – enabling the rapid identification of potential patients for clinical trials that had simply been missed before. The solution has allowed Northwell to successfully identifying candidates for clinical trials in hours not months.

Proof of Concept Study Details

By quickly and efficiently processing existing unstructured patient data, sites are able to identify eligible subjects against trial-specific inclusion and exclusion criteria in a fraction of the time it takes to review patient data manually. In a proof of concept study of COPD at Northwell the total patient cohort considered was 939,378 patients and there were 3.3 million associated documents for review. Using CLiX ENRICH for Clinical Trials, Northwell was able to assess these patients against 22 individual criteria in just 30 hours – a fraction of the time it would have taken previously – producing an impressive 88 patients to review, all of whom were highly relevant to the trial.

“What is really exciting about working with CLiX ENRICH is that it allows us to mine a much richer data set and identify potential patients across our entire network, not just the specific location where the study is being conducted.  Leveraging tools to support the patient identification and enrollment process is part of Northwell’s strategic goals to make clinical trials an option for patients and to make Northwell a premier destination for clinical trials,” said Elaine Brennan, Managing Director of Pharma Ventures at Northwell Health.  

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print

Tagged With: Clinical Trial Recruitment, Clinical Trials, Clinithink, Natural Language Processing (NLP)

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

Knowledge Hub

10 Critical KPIs Every Successful Healthcare Organization is Implementing10 Critical KPIs Every Successful Healthcare Organization is Implementing

How to Build Hybrid Care Models Around Remote Patient Monitoring

How to Build Hybrid Care Models Around Remote Patient Monitoring

Trending

Podimetrics CMO Talks Supporting Patients Living with SDoH Challenges

Podimetrics CMO Talks Supporting Patients Living with SDoH Challenges

Recent Digital Health Partnerships

Roundups: 15 Recent Digital Health Strategic Partnerships

Recent Digital Health Executive Hires & Board Appointments

Digital Health Executive Hires: Practice Better Appoints CEO, HHAeXchange, Intelerad, Tegria, Others

M&A: Florence Acquires Virtual Care Solution Zipnosis

M&A: Florence Acquires Virtual Care Solution Zipnosis

Adopting Value-Based Care Models for Autism Care Is Imperative

Why Adopting Value-Based Care Models for Autism Care Is Imperative

UNC Health to Pilot Epic, Microsoft’s Generative AI Tool

UNC Health to Pilot Epic, Microsoft’s Generative AI Tool

Vanderbilt University Medical Center Taps Philips Reduce Carbon Footprint

Vanderbilt University Medical Center Taps Philips to Reduce Carbon Footprint

Denials Management Named Most Time-Consuming Task in RCM

Denials Management Named Most Time-Consuming Task in RCM

How AI Can Eliminate Surprise Bills, Improve Payment Integrity

AI Can Eliminate Surprise Bills, Improve Payment Integrity

Q/A: IQVIA’s Global Lead Talks Unlocking AI for Drug Repurposing

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 |