Healthcare Analytics, Population Health Management, Healthcare Big Data

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Cleveland Clinic Creates Artificial Intelligence Innovation Center

March 13, 2019 - Cleveland Clinic has established the Center for Clinical Artificial Intelligence, an innovation hub focused on applying machine learning to healthcare. According to Crain’s Cleveland Business, the new center will work to develop clinical applications for AI and machine learning technology in the realms of diagnostics, predictive analytics, and treatment...


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Medical Artificial Intelligence Market to See 50% CAGR Growth

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The market for tools and technologies to bring artificial intelligence into medical care is expected to see explosive growth over the next five years, according to a series of recent industry reports. The opportunity for medical...

Nuance Beats Competitors to Ambient Computing in the Clinic

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Artificial intelligence is taking many forms in the healthcare environment as vendors strive to address deeply entrenched pain points for clinicians and patients. Many electronic health record companies are integrating machine learning...

Healthcare AI to Play Major Role in $15.7 Trillion Economic Boost

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Advances in artificial intelligence within the healthcare industry will contribute significantly to the $15.7 trillion economic boost related to machine learning, according to a new report from PwC. The firm anticipates a 14.5 percent...

IBM Watson Health Teams Up with Hospitals for AI, EHR Research

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IBM Watson Health has announced a ten-year, $50 million investment in artificial intelligence (AI) research partnerships with Brigham and Women’s Hospital (BWH) and Vanderbilt University Medical Center (VUMC). The two collaborations...

Predictive Analytics Models Accurately Forecast Flu Trends

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Predictive analytics models were able to forecast trends in influenza outbreaks with greater accuracy than historical baseline models. Led by biostatistician Nicholas Reich, researchers at the University of Massachusetts Amherst formed a...

Definitive Healthcare Acquires HIMSS Analytics Data Services

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Definitive Healthcare, the leader in providing data analytics and business intelligence to the healthcare market, has acquired the data services business and assets of HIMSS Analytics. The purchase includes HIMSS Analytics’ Logic,...

Rush Joins Select Few Hospitals with Stage 7 Analytics Maturity

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Rush University Medical Center is the third health system in the nation to reach the top level of analytics maturity according to the relatively new HIMSS Adoption Model for Analytics Maturity (AMAM). Joining Duke Health and UNC Health...

NCI: Deep Learning Beats Humans at Detecting Start of Cervical Cancer

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An artificial intelligence (AI) tool was able to analyze digital images of a woman’s cervix and identify precancerous changes with more accuracy than human experts. Developed by researchers from the National Cancer Institute (NCI)...

User Comments, NLP Improve Clinical Decision Support Alerts

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Leveraging natural language processing methods to analyze user feedback and override comments in clinical decision support systems could help organizations detect malfunctioning or broken alerts, according to a study published in...

FDA Tackles Artificial Intelligence with New Software Review Plan

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The FDA is moving quickly to ensure the development of a safe and effective artificial intelligence ecosystem in healthcare by releasing new documents intended to offer guidance to the health IT community. The agency has published a new...

HL7 Releases FHIR Version 4.0 for Healthcare Interoperability

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HL7 International has published the long-anticipated FHIR Release 4 (R4), allowing healthcare organizations to make new leaps forward in health data interoperability. “R4 is the culmination of 18 months of extensive work to finalize...

Blockchain, AI, NLP Target of Late-Year Healthcare Acquisitions

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The impending holiday season is no reason for healthcare companies to slow down their strategic plans, according to 3M, M*Modal, Change Healthcare, and PokitDok. All four companies are shifting position – buying or being bought...

Predictive Analytics, IoT Data Flag ED Visits, 30-Day Readmissions

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Predictive analytics fueled by data from the Internet of Things (IoT) could help providers detect patients at high risk of emergency department (ED) visits and 30-day hospital readmissions, according to a study published in JMIR Medical...

Machine Learning, EHR Data Predict High-Risk Surgical Patients

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Utilizing machine learning tools that leverage electronic health record (EHR) data from a single organization could help providers predict patients at high risk of surgical complications more accurately than traditional approaches, a study...

Deep Learning, Blockchain, Big Data to See Huge Growth in Healthcare

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There appear to be rosy days ahead for investors and vendors with interests in offering some of the most talk-about technologies to healthcare organizations. The market for products and services rooted in blockchain, deep learning, and...

CMS to Launch Artificial Intelligence Health Outcomes Challenge

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The CMS Innovation Center is gearing up to launch a new industry challenge aimed at identifying new strategies for leveraging artificial intelligence and machine learning to improve outcomes. The proposed challenge will explore how...

Predicting Pressure Injuries with Machine Learning, EHR Data

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Fueled by EHR data, machine learning tools have shown potential in improving several areas of care delivery, including sepsis prediction, chronic disease management, and cancer detection. As providers increasingly experience financial...

Predictive Analytics, EHR Big Data Reduce Sepsis Mortality by 18%

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At North Oaks Health System in Hammond, Louisiana, researchers have used big data from the Epic electronic health record (EHR) to develop a predictive analytics tool that has reduced sepsis mortality by 18 percent. According to the CDC,...

Deep Learning for Medical Imaging Fares Poorly on External Data

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A deep learning model trained to identify pneumonia on a contained sample of medical images was unable to achieve the same level of accuracy when let loose on data from external healthcare systems, according to a new study in PLOS...

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