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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21 Mar 2025
How can quantum computers be used in healthcare?
Commercial products are few, and wide availability is probably a few years away, but lab research and prototypes show progress in drug design, medical imaging and genetic modeling. Continue Reading
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13 Mar 2025
Study: ML mortality prediction misses 66% of severe injuries
When given test cases with different injury levels, ML mortality prediction models gave inconsistent risk scores, overestimating moderate injuries and underestimating severe ones. Continue Reading
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01 Aug 2019
Best Practices to Develop a Social Determinants of Health Strategy
A discussion with members of Humana’s Bold Goal team identified best practices for building a successful social determinants of health strategy. Continue Reading
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29 Jul 2019
Future AI Opportunities for Improving Care Delivery, Cost, and Efficacy
Applying forms of artificial intelligence to treatment variability, cost modeling, and drug discovery should lead to widespread changes in healthcare spending. Continue Reading
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12 Jul 2019
How Geographic Data Can Help Address Social Determinants of Health
An individual’s zip code is more predictive of her health than her genetic code, but it’s not just zip code data that can help tackle social determinants of health. Continue Reading
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24 Jun 2019
Creating an Analytics Pathway to Evolve with Risk, Value-Based Care
Enhancing data analytics to manage populations and support new service lines is key to succeeding in value-based care, especially risk-based models. Continue Reading
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13 May 2019
Seamless Data Architecture Supports Artificial Intelligence Success
A comprehensive approach to creating seamless data architecture will be critical for success with artificial intelligence. Continue Reading
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06 Mar 2019
Turning Health Data into an Asset for Artificial Intelligence
Healthcare organizations looking to leverage their existing data assets for artificial intelligence will need to develop governance, infrastructure, and partnerships to guide their efforts. Continue Reading
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29 Jan 2019
New Project Puts an Actuarial Eye on Big Data, Healthcare Costs
Healthcare administrators, economists, and actuaries are leveraging big data analytics to identify potential causes and solutions for rising care costs. Continue Reading
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30 Nov 2018
What Is Deep Learning and How Will It Change Healthcare?
What is deep learning, why is it significant, and how will this innovative artificial intelligence strategy change the healthcare industry? Continue Reading
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30 Oct 2018
Top 5 Use Cases for Artificial Intelligence in Medical Imaging
Artificial intelligence can support radiologists and pathologists as they use medical imaging to diagnose a wide variety of conditions. Continue Reading
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26 Oct 2018
Top 4 Big Data Analytics Strategies to Reduce Hospital Readmissions
Hospitals can reduce readmission rates by using big data analytics to deliver preventive care, improve patient engagement, and enhance communication across the care continuum. Continue Reading
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24 Sep 2018
Are Universal EHRs Key to Healthcare Value, Trust, and AI Adoption?
Countries with universal electronic health records appear to be further along the maturity curves of consumer trust, data integration, and even AI adoption. Continue Reading
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20 Jul 2018
5 Steps for Planning a Healthcare Artificial Intelligence Project
How can organizations planning a healthcare artificial intelligence project set the stage for a successful pilot or program? Continue Reading
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12 Jul 2018
Addressing Chronic Disease with Population Health Management Strategies
What are the best population health management strategies for addressing common chronic diseases? Continue Reading
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07 Jun 2018
NIH Data Science Plan Aims to Boost Data Analytics, Access
NIH’s Strategic Plan for Data Science will provide a roadmap for improved healthcare data analytics, access, and sharing. Continue Reading
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23 Apr 2018
Value-Based Care Requires Clear Analytics Goals, Scalable Health IT
Success in the demanding world of value-based care requires healthcare organizations to establish clear goals for their big data analytics initiatives while investing in scalable health IT development. Continue Reading
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15 Mar 2018
Da Vinci Project Brings HL7 FHIR to Payers for Big Data Analytics
HL7 FHIR is moving into the payer environment to enable big data analytics, support value-based care, and create administrative efficiencies. Continue Reading
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14 Mar 2018
Will Clinical Decision Support, Health IT Cut Diagnostic Errors?
Diagnostic errors are common across the care continuum, but clinical decision support tools - if implemented correctly - could help reduce patient safety events. Continue Reading
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12 Mar 2018
Faulkner Guides Epic Systems from EHR to Comprehensive Health Record
At HIMSS18, Epic Systems founder and CEO Judy Faulkner shared her vision for a comprehensive health record and continued improvements to interoperability. Continue Reading
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14 Dec 2017
Artificial Intelligence to Make More Health Jobs Than it Eliminates
Artificial intelligence may create more healthcare jobs than it eliminates - if providers can strike a balance between automation and augmentation. Continue Reading
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12 Dec 2017
Understanding the Basics of Clinical Decision Support Systems
How can clinical decision support systems deliver patient safety and care quality improvements while ensuring health IT usability? Continue Reading
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30 Nov 2017
How the Healthcare “Value Chain” Leads to Big Data Analytics Success
Success with big data analytics requires healthcare organizations to understand the impact of their data assets from collection to patient activation. 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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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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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