• 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

Wolters Kluwer Harnesses AI to Bridge Data in EHRs to Speed Accuracy of HAIs

by Jasmine Pennic 04/24/2019 Leave a Comment

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print

Wolters Kluwer Harnesses AI to Bridge Data in EHRs to Speed Accuracy of HAIs

With healthcare M&A at an all-time high, many hospitals and health systems are feeling interoperability pains following mergers.  Wolters Kluwer is now harnessing AI to bridge data in electronic health records (EHRs) and disparate systems, such as lab results, to improve how organizations identify and report hospital-acquired infections.

Real World Data Integration Challenges for Providers

Integrating data from disparate EHRs across health systems continues to be a largely manual process. But time is critical as these efforts ensure continuous quality care and reduced revenue disruptions.

Wolters Kluwer’s data science team worked with Health Language to use AI and machine learning to accelerate mapping lab results to LOINC (lab) codes to accelerate data integration for providers by reducing a process that takes months to a year to complete, to mere weeks. This process is critical for patient safety. For example, it can improve the ability to rapidly identify/report hospital-acquired infections (HAIs) by streamlining the data-mapping capabilities that are used to identify them.

Beyond increasing the speed and accuracy of how healthcare organizations report HAIs, Wolters Kluwer is also applying AI to several other areas supporting patient engagement and clinical effectiveness.

Why It Matters

“Healthcare has reached a tipping point when it comes to actionable data, but the language of healthcare remains largely unstandardized, limiting what can be understood across platforms and the people who need to act upon the information,” said Jean-Claude Saghbini, Chief Technology Officer for Wolters Kluwer, Health. “AI is increasing data-mapping capabilities exponentially, which enables the rapid identification of findings that benefit decision-making. For example, hospitals using our surveillance solutions for early detection and intervention of hospital-acquired infections (HAI) will benefit from AI’s ability to map lab results faster and more accurately to reduce risks and help keep patients safe.”

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print

Tagged With: AI, Data Integration, EHR data aggregation, EHR integration, Health Systems, Healthcare M&A, Hospital-acquired infections, interoperability, LOINC, M&A, Machine Learning, patient engagement, patient safety, Wolters Kluwer

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 Interview

Reach7 Diabetes Studios Founder Chun Yong on Reimagining Chronic Care with a Concierge Medical Model

Most-Read

Bayer Exits Radiology AI Market, Discontinuing Calantic and Blackford

Bayer Exits Radiology AI Market, Discontinuing Calantic and Blackford

Oracle Health Launches AI Center of Excellence for Healthcare

Oracle Health Launches AI Center of Excellence for Healthcare

Particle Health Addresses Integration to Epic Data Despite Dispute

US Court Allows Particle’s Antitrust Claims Against Epic to Proceed

Epic Launches Comet: A New AI Platform to Predict Patient Health Journeys

Epic Launches Comet: A New AI Platform to Predict Patient Health Journeys

Preparing for the ‘Big Beautiful Bill’: How Digitization Can Streamline Medicaid Eligibility & Social Care Delivery

Preparing for the ‘Big Beautiful Bill’: How Digitization Can Streamline Medicaid Eligibility & Social Care Delivery

Evernorth Health Services Invests $3.5B in Shields Health Solutions

Evernorth Health Services Invests $3.5B in Shields Health Solutions

KLAS Report: Oracle Health Faces Customer Losses and Declining Satisfaction

KLAS Report: Oracle Health Faces Customer Losses and Declining Satisfaction

Tempus AI Acquires Digital Pathology Leader Paige for $81.25M

M&A:Tempus AI Acquires Digital Pathology Leader Paige for $81.25M

Mira Launches Ultra4™, the First At-Home Hormone Monitor with Lab-Quality Insights

Femtech: Mira Launches Ultra4™, the First At-Home Hormone Monitor with Lab-Quality Insights

How Healthcare CIOs Can Solve the Unstructured Data Crisis and Reduce Storage Costs

How Healthcare CIOs Can Solve the Unstructured Data Crisis and Reduce Storage Costs

Secondary Sidebar

Footer

Company

  • About Us
  • Advertise with Us
  • Reprints and Permissions
  • 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 © 2025. HIT Consultant Media. All Rights Reserved. Privacy Policy |