Artificial intelligence in healthcare
Artificial intelligence in healthcare incorporates algorithms, machine learning, natural language processing and emerging AI technology to analyze complex medical data. Healthcare AI assists in diagnostic pathology, treatment planning and patient care management by facilitating greater efficiency and accuracy in clinical decisions, medical research and personalized medicine.
Top Stories
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News
20 Nov 2024
Study reveals cost-efficiency strategy for LLM deployment
Efficient deployment of large language models at scale in healthcare settings could streamline clinical workflows and reduce costs up to 17-fold without sacrificing reliability. Continue Reading
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Feature
18 Nov 2024
Exploring 3 types of healthcare natural language processing
Natural language processing, understanding and generation might help healthcare stakeholders make better use of their wealth of unstructured, text-based data. Continue Reading
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News
31 Mar 2017
Top 4 Machine Learning Use Cases for Healthcare Providers
Machine learning is generating a lot of excitement amongst healthcare providers, but what are some of the top use cases for these advanced analytics tools? Continue Reading
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Feature
23 Feb 2017
Judy Faulkner: Epic Is Changing the Big Data, Interoperability Game
During HIMSS17, Epic Systems founder and CEO Judy Faulkner discussed her philosophy on interoperability and announced some new big data offerings. Continue Reading
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News
21 Feb 2017
IBM Watson Expands Role in Imaging Analytics, Population Health
IBM Watson Health is expanding its healthcare-focused offerings, including tools for imaging analytics, value-based care, and population health management. Continue Reading
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Feature
26 Oct 2016
How Healthcare Can Prep for Artificial Intelligence, Machine Learning
Artificial intelligence and machine learning are on the brink of becoming major forces in the healthcare industry. How can providers start to prepare? Continue Reading
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18 Aug 2016
What Is the Role of Natural Language Processing in Healthcare?
Natural language processing may be the key to effective clinical decision support, but there are many problems to solve before the healthcare industry can make good on NLP's promises. Continue Reading
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Feature
01 Jul 2016
How to Choose the Right Healthcare Big Data Analytics Tools
Picking the right big data analytics tools can be a major challenge. What are some of the top questions to consider during the process? Continue Reading
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Feature
03 Jun 2016
Breaking Down the Basics of the Patient-Centered Medical Home
The patient-centered medical home offers a step-by-step roadmap for care quality improvements that align with larger reform efforts, but not everyone is sold on its value just yet. Continue Reading
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15 Oct 2015
Why Health Information Exchange Needs HIM, IT Collaboration
Competing initiatives” is an oft repeated phrase in the healthcare industry, and for good reason. Between meaningful use, ICD-10, EHR interoperability, emerging reimbursement reforms, big data analytics... Continue Reading
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News
18 Sep 2015
Don’t Publish Stage 3 Meaningful Use Rule, Urge AMA and Others
HHS should delay the publication of the final rule for Stage 3 Meaningful Use, argue the American Medical Association and dozens of other professional groups. Continue Reading
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News
08 May 2015
Healthcare Big Data Analytics: From Description to Prescription
What are the three phases of healthcare data analytics and how can they help healthcare providers improve the quality of care? Continue Reading
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News
19 Feb 2015
How Health Information Exchange Models Impact Data Analytics
How are health information exchange models structured? How can providers use them for data analytics and population health management? Continue Reading
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News
14 Jan 2015
Health Information Exchange Cuts Cost of Repeated Imaging
Access to a health information exchange may cut down on repeated imaging by 25 percent, says a new study. Continue Reading
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News
12 Nov 2014
Benefits and Challenges of the Patient-Centered Medical Home
How can providers overcome the challenges of creating the patient-centered medical home? Continue Reading