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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18 Dec 2024
Supporting GLP-1 prescribing with digital twin technology
GLP-1s have exploded in popularity, but are not suitable for every patient. A digital twin could provide decision support for clinicians without access to expert second opinions. Continue Reading
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17 Dec 2024
AI in medical diagnostics and decision-making
AI technologies enable doctors to improve diagnostic accuracy, personalize treatment plans and streamline clinical workflows. However, they also pose challenges worth considering. Continue Reading
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04 Oct 2017
How Mayo Clinic Uses CDS Algorithms to Standardize Nurse Triage
An algorithmic approach to clinical decision support has standardized phone-based nurse triage at the Mayo Clinic. Continue Reading
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21 Jul 2017
Leveraging Business Intelligence for Healthcare Management
How can organizations leverage business intelligence for healthcare management? What are the first steps for engaging in financial and clinical improvement efforts? Continue Reading
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24 May 2017
Turning Healthcare Big Data into Actionable Clinical Intelligence
How can healthcare organizations turn their big data assets into actionable clinical intelligence? Continue Reading
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18 May 2017
Google Using FHIR, Deep Learning for Healthcare Predictive Analytics
Google is eager to apply its deep learning prowess and familiarity with FHIR to the problems of predictive analytics in healthcare. Continue Reading
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04 May 2017
How Do Artificial Intelligence, Machine Learning Differ in Healthcare?
Machine learning is a necessary first step towards artificial intelligence in healthcare, but they aren’t the same thing. Continue Reading
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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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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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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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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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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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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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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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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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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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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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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