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.
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24 Jun 2024
Deep learning links lung shape differences and COVID-19 severity
A 3D residual convolutional network analysis revealed that COVID-19 patients experienced significant deformities to the mediastinal and basal surfaces of the lungs. Continue Reading
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17 Jun 2024
Investigating electronic phenotyping’s role in clinical analytics
Electronic phenotyping has significant potential to drive EHR-based data mining and clinical research, but patient privacy remains a major concern. Continue Reading
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06 Feb 2020
Predictive Analytics Model Forecasts Hernia Surgery Outcomes
A predictive analytics tool could determine the likelihood that a patient will experience complications after having hernia surgery. Continue Reading
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04 Feb 2020
Artificial Intelligence Saved Over $260M in Fraud, Waste in 2019
Using artificial intelligence, Highmark Inc. has generated millions of dollars in savings related to waste, fraud, and abuse. Continue Reading
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29 Jan 2020
Microsoft Launches $40M Healthcare Artificial Intelligence Program
The AI for Health program will leverage artificial intelligence technology to accelerate medical research and support health equity. Continue Reading
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28 Jan 2020
One-Third of Orgs Use Artificial Intelligence in Medical Imaging
Hospitals and imaging centers are using artificial intelligence for patient care, but cost and a lack of strategic direction are significant barriers to adoption. Continue Reading
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28 Jan 2020
Deep Learning Tools Can Kickstart Cancer Radiation Therapy
Deep learning tools can translate complex data into optimal treatment plans, helping cancer patients start radiation therapy sooner. Continue Reading
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27 Jan 2020
Machine Learning Tool Predicts Hospitalizations for Asthma Patients
A machine learning algorithm was able to forecast hospital encounters among patients with asthma better than current predictive models. Continue Reading
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23 Jan 2020
New Method Determines Accuracy of Predictive Risk Models
The technique can help providers assess whether a predictive risk model’s results can be trusted for a given patient. Continue Reading
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22 Jan 2020
Machine Learning in Drug Development Requires Data Access, Standards
To leverage machine learning tools in drug development, policymakers will need to increase data access and establish uniform data standards. Continue Reading
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21 Jan 2020
Data Governance, Chronic Disease Management Top Priorities in 2020
In the new year, the healthcare industry will focus on improving data governance to drive proactive chronic disease management. Continue Reading
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20 Jan 2020
Machine Learning Uses Social Determinants Data to Predict Utilization
A machine learning tool was able to predict inpatient and emergency department utilization using only social determinants of health data. Continue Reading
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09 Jan 2020
Cross-Sector AI Partnerships Curb Hospital Readmissions
A cross-sector partnership leverages artificial intelligence to identify and reduce Geisinger’s unnecessary hospital readmissions. Continue Reading
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09 Jan 2020
Overcoming Bias in Artificial Intelligence, Machine Learning
Artificial intelligence and machine learning algorithms have been under scrutiny for racial bias. To avoid perpetuating these errors, developers are reexamining the early phases of development. Continue Reading
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08 Jan 2020
Making Pediatric Risk Scoring a Reality for Children’s Hospitals
Pediatric risk scoring took a backseat as payers and providers mastered the methodology for their adult populations. But new ways to integrate data is now making it possible for two children’s hospitals. Continue Reading
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02 Jan 2020
Google Uses Artificial Intelligence to Detect Breast Cancer
Google has developed an artificial intelligence model that could accurately detect breast cancer in screening mammograms. Continue Reading
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02 Jan 2020
Machine Learning System Accurately Identifies Medication Errors
A machine learning tool was able to identify medication errors better than traditional clinical decision support systems. Continue Reading
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27 Dec 2019
Natural Language Processing Advances Clinical Decision Making
Machine learning and natural language processing technology is helping Radiology Partners to improve their clinical decision-making and improve the standard of care. Continue Reading
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26 Dec 2019
Eliminating Racial Bias in Algorithm Development
Artificial intelligence can assess patient risk and guide providers to optimal treatment options, but developers must ensure the technology doesn’t perpetuate existing biases. Continue Reading
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21 Nov 2019
Machine Learning Microscope Adapts Lighting to Improve Diagnosis
The microscope leverages machine learning to adjust lighting angles, colors, and patterns to improve malaria diagnosis. Continue Reading
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18 Nov 2019
Technology Provides Actionable Insights for Social Determinants of Health
Technology and population-level reporting can help providers address the social determinants of health in their member populations through actionable data insights. Continue Reading
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18 Nov 2019
Capturing Social Determinants of Health to Effect Lasting Change
Social determinants of health are impacting patients long before and after their clinical encounters, but healthcare professionals can use data to change that. Continue Reading
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15 Nov 2019
NIH Using Artificial Intelligence to Evaluate Stem Cell Quality
NIH used artificial intelligence techniques to scale up the manufacturing of stem cells for patients with macular degeneration. Continue Reading
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12 Nov 2019
Natural Language Processing Improves Care for Liver Failure Patients
Using natural language processing, researchers diagnosed early signs of language problems associated with liver failure. Continue Reading
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06 Nov 2019
Deep Learning Could Improve Cohort Selection for Clinical Trials
Deep learning technology could identify key features for cohort selection in clinical trials, significantly reducing time and costs. Continue Reading
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04 Nov 2019
Preparing for the Artificial Intelligence Explosion at RSNA 2019
Artificial intelligence has become a focal point of at RSNA’S annual meeting, so a working knowledge of key terms is crucial for attendees. Continue Reading
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28 Oct 2019
Predictive Analytics Algorithm Displays Bias, Drives Inequity
The predictive analytics algorithm perpetuated some implicit racial bias and health inequity, the UC Berkeley researchers found. Continue Reading
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21 Oct 2019
Why AI Is the Solution to Radiology Data Problem
Integrating artificial intelligence into radiology practice can help improve the accuracy of imaging reads, increase the time providers have to spend with patients, and shift reimbursement to focus on value. Continue Reading
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02 Oct 2019
Artificial Intelligence in Radiology Will Require Ethics, Standards
To ethically use artificial intelligence in radiology, stakeholders will need to ensure the technology promotes safety and minimizes harm. Continue Reading
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23 Sep 2019
How Hospitals Invest in Health IT for Value-Based Care
To effectively manage value-based care delivery, hospitals are investing in tools that aid in population health management, health information exchange, and business intelligence. Continue Reading
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16 Sep 2019
Benefits of Artificial Intelligence to Radiology Workflows
Radiologists have warmed to artificial intelligence, with the technology slated to improve inefficient workflows. 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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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