Close
  • Latest News
  • Artificial Intelligence
  • Big Data and Analytics
  • Cloud
  • Networking
  • Cybersecurity
  • Applications
  • IT Management
  • Storage
  • Sponsored
  • Mobile
  • Small Business
  • Development
  • Database
  • Servers
  • Android
  • Apple
  • Innovation
  • Blogs
  • PC Hardware
  • Reviews
  • Search Engines
  • Virtualization
Read Down
Sign in
Close
Welcome!Log into your account
Forgot your password?
Read Down
Password recovery
Recover your password
Close
Search
Logo
Logo
  • Latest News
  • Artificial Intelligence
  • Big Data and Analytics
  • Cloud
  • Networking
  • Cybersecurity
  • Applications
  • IT Management
  • Storage
  • Sponsored
  • Mobile
  • Small Business
  • Development
  • Database
  • Servers
  • Android
  • Apple
  • Innovation
  • Blogs
  • PC Hardware
  • Reviews
  • Search Engines
  • Virtualization
More
    Home Database
    • Database

    5 Ways Cognitive Computing Is Advancing Health Care

    By
    Darryl K. Taft
    -
    August 22, 2016
    Share
    Facebook
    Twitter
    Linkedin

      PrevNext

      15 Ways Cognitive Computing Is Advancing Health Care

      1 - 5 Ways Cognitive Computing Is Advancing Health Care

      The health care industry is getting a much-needed shot in the arm from cognitive computing, providing services that before were impossible with current technology.

      2Hill Physicians

      2 - Hill Physicians

      Today, health care providers rely on risk adjustment methods to receive payments for the services they provide to patients. This is incredibly difficult because much of the relevant risk adjustment data is unstructured and, therefore, difficult to access and extract from electronic health records (EHRs). To ensure correct billing for its risk adjustment, Hill Physicians reviews nearly 11,000 patient charts each year. Previously, the group relied on the traditional, tedious hand-read of charts, which not only drained resources, but also sacrificed accuracy. Apixio’s cognitive computing platform allows Hill Physicians to mine its EHR and scanned chart data for valid, risk-adjusting conditions for faster, more accurate coding that helps ensure more efficient and effective care.

      3UCLA

      3 - UCLA

      A few years ago, researchers at UCLA began to mine thousands of electronic health records for a more accurate and less expensive way to identify people with Type 2 diabetes. In addition to developing an algorithm to detect Type 2 diabetes, the researchers accidentally uncovered several previously unknown risk factors for all forms of diabetes. Using a computerized approach to mining doctor notes and health care records, this group was able to find previously unknown disease patterns, greatly improving diabetes diagnoses and care. The team has applied similar techniques to predict other diseases, including epilepsy.

      4Dartmouth-Hickcock Medical Center

      4 - Dartmouth-Hickcock Medical Center

      Dartmouth-Hitchcock Medical Center in New Hampshire uses Microsoft’s cognitive offerings to predict medical emergencies for patients while they’re still at home. Microsoft’s machines access data from a patient’s at-home scale and personal blood pressure reader, and can even listen to calls between nurses and patients to gauge a person’s emotional state. This software parses various patient data points with the intent to change the way people interact with the health care system. Dartmouth hopes this technology eventually will put patients at the center of their own care—ultimately changing the way we think about health completely.

      5American Cancer Society

      5 - American Cancer Society

      The American Cancer Society leverages the IBM Watson supercomputer to filter websites and data sources that deliver personalized treatments for oncology patients. At least 16 oncology practices are already working with the cognitive computing platform to help doctors translate DNA insights into personalized treatment options for patients. Eventually, the American Cancer Society and IBM plan to integrate their tool with IBM’s existing Watson for Oncology offering for doctors, a clinical decision-support tool to offer patients an engaging and personalized treatment plan.

      6Google DeepMind

      6 - Google DeepMind

      Google DeepMind and the National Healthcare System in the UK have teamed to build a smart machine that they hope eventually will be able to recognize eye disease from just a digital scan. While the project is still very young, this smart machine eventually will use millions of eye scans to train an algorithm to quickly detect early signs of severe eye conditions and ultimately prevent blindness, the organizations hope. The larger goal of this project is to investigate how machine learning could help analyze these scans efficiently and effectively, leading to earlier detection and intervention for patients and reducing the number of cases of patient deterioration.

      PrevNext
      Get the Free Newsletter!
      Subscribe to Daily Tech Insider for top news, trends & analysis
      This email address is invalid.
      Get the Free Newsletter!
      Subscribe to Daily Tech Insider for top news, trends & analysis
      This email address is invalid.

      MOST POPULAR ARTICLES

      Latest News

      Zeus Kerravala on Networking: Multicloud, 5G, and...

      James Maguire - December 16, 2022 0
      I spoke with Zeus Kerravala, industry analyst at ZK Research, about the rapid changes in enterprise networking, as tech advances and digital transformation prompt...
      Read more
      Applications

      Datadog President Amit Agarwal on Trends in...

      James Maguire - November 11, 2022 0
      I spoke with Amit Agarwal, President of Datadog, about infrastructure observability, from current trends to key challenges to the future of this rapidly growing...
      Read more
      IT Management

      Intuit’s Nhung Ho on AI for the...

      James Maguire - May 13, 2022 0
      I spoke with Nhung Ho, Vice President of AI at Intuit, about adoption of AI in the small and medium-sized business market, and how...
      Read more
      Applications

      Kyndryl’s Nicolas Sekkaki on Handling AI and...

      James Maguire - November 9, 2022 0
      I spoke with Nicolas Sekkaki, Group Practice Leader for Applications, Data and AI at Kyndryl, about how companies can boost both their AI and...
      Read more
      Cloud

      IGEL CEO Jed Ayres on Edge and...

      James Maguire - June 14, 2022 0
      I spoke with Jed Ayres, CEO of IGEL, about the endpoint sector, and an open source OS for the cloud; we also spoke about...
      Read more
      Logo

      eWeek has the latest technology news and analysis, buying guides, and product reviews for IT professionals and technology buyers. The site’s focus is on innovative solutions and covering in-depth technical content. eWeek stays on the cutting edge of technology news and IT trends through interviews and expert analysis. Gain insight from top innovators and thought leaders in the fields of IT, business, enterprise software, startups, and more.

      Facebook
      Linkedin
      RSS
      Twitter
      Youtube

      Advertisers

      Advertise with TechnologyAdvice on eWeek and our other IT-focused platforms.

      Advertise with Us

      Menu

      • About eWeek
      • Subscribe to our Newsletter
      • Latest News

      Our Brands

      • Privacy Policy
      • Terms
      • About
      • Contact
      • Advertise
      • Sitemap
      • California – Do Not Sell My Information

      Property of TechnologyAdvice.
      © 2022 TechnologyAdvice. All Rights Reserved

      Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.

      ×