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Leveraging AI to Solve Common Healthcare Challenges: Hear From the Experts

Tue, Jun 18, 2019 3:00 PM EDT{LOCAL_TZ}

Artificial Intelligence (AI) success stories have become more common within the healthcare industry, as healthcare leaders are turning to AI and advanced technology to accelerate labor-intensive processes.

The tedious process of reviewing patient charts is a key example where AI technology can provide the most value, as patient chart reviews are conducted to inform a variety of organizational initiatives and drive patient care.

In this webinar we will explore how to use AI in your organization to solve common healthcare IT challenges so you can identify gaps in care for quality measure reporting, calculate risk scores, and generate predictive analytics.

Learn about:

  • Challenges healthcare organizations face when trying to unlock value from patient charts.
  • How AI-powered software solutions, including natural language processing (NLP) and machine learning (ML), can address these challenges and improve the efficiency of your staff.
  • Common use cases where AI can help identify gaps in care for quality measure reporting, calculate risk scores, and generate predictive analytics.
Register now to learn how you can apply AI solutions to improve workflow efficiency and scalability within your organization.

Please test your system for webcast compatibility by clicking here.

Presented by:

 Sarah Bryan
Director of Product Management, Health Language
Wolters Kluwer

As Director of Product Management at Health Language, Sarah Bryan is passionate about bringing terminology management software solutions to the healthcare industry to enable accurate analytics and interoperability. With a degree in Economics from the University of Colorado and a master’s degree in Health and Medical Informatics (in process), Sarah applies her education, extensive work with customers, and software development background to build solutions that streamline and accelerate workflows related to terminology management.
 Chris Funk, Ph.D.
Sr. Medical Informaticist, Health Language
Wolters Kluwer

Chris Funk graduated from the University of Colorado with a Ph.D. in Computational Biology. His dissertation focused on natural language processing (NLP) and identification of concepts from standard terminologies within unstructured text. Chris provides support for Health Language healthcare content analysts by using his expertise in NLP and machine learning to automate workflows for more efficient content updates, as well as meeting other customer terminology and unstructured text processing needs.
 John Langton, Ph.D.
Director of Applied Data Science
Wolters Kluwer

John leads data science at Wolters Kluwer, where artificial intelligence is being used to fundamentally change approaches to healthcare. He has an extensive background in machine learning and holds a Ph.D. in computer science from Brandeis University. John started his career conducting research and development for the US Department of Defense.

He applied that experience in the private sector by founding a visual analytics company, VisiTrend, which was acquired by Carbon Black in 2015 where John served as Director of Data Science. Shortly thereafter John joined athenahealth to investigate advanced analytics in healthcare. It was this experience that ignited a passion to directly address clinical decision support, which is now his focus at Wolters Kluwer. John has several peer-reviewed publications and regularly participates in the Boston data science community.

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