Healthcare Analytics, Population Health Management, Healthcare Big Data

Machine Learning

Harvard Medical School Gets $200M for Precision Medicine Research

November 15, 2018 - Harvard Medical School (HMS) has received a $200 million grant that will help accelerate precision medicine research, advance artificial intelligence, and increase scientific collaboration. The gift from the Blavatnik Family Foundation, will help researchers overcome barriers that have previously hindered the integration of research and routine clinical care.   “We are...


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

by Jessica Kent

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,...

AI, User Experience Top Healthcare’s Data Analytics Priorities in 2019

by Jennifer Bresnick

Healthcare organizations that want to get ahead in 2019 will need to prioritize the use of artificial intelligence, virtualized care, and technologies that offer intuitive user experiences, according to Forrester’s predictions for...

Deep Learning for Medical Imaging Fares Poorly on External Data

by Jennifer Bresnick

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...

Duke Engineering Establishes Big Data, Precision Medicine Center

by Jessica Kent

Duke University Pratt School of Engineering has established a new big data analytics center that will support global research to advance precision medicine. Launched last month, the Sherry and John Woo Center for Big Data and Precision...

Top 5 Use Cases for Artificial Intelligence in Medical Imaging

by Jennifer Bresnick

Artificial intelligence and machine learning have captivate the healthcare industry as these innovative analytics strategies become more accurate and applicable to a variety of tasks. AI is increasingly helping to uncover hidden insights...

Google Deep Learning Tool 99% Accurate at Breast Cancer Detection

by Jessica Kent

Researchers at Google have developed a deep learning tool that can identify metastasized breast cancer with 99 percent accuracy and could reduce the time it takes for clinicians to review pathology slides. Detecting cancer that has spread...

Challenges Persist in Training Deep Learning Models on EHR Data

by Jessica Kent

Deep learning models have demonstrated early potential in improving healthcare analytics, but researchers still have to overcome significant challenges when using electronic health record (EHR) data to develop these models, a study...

Natural Language Processing Tools Struggle to Read Social Media

by Jessica Kent

Social media may offer an untapped data resource for healthcare, but natural language processing (NLP) tools still struggle to analyze and extract meaningful insights from this information due to lack of context and ambiguous...

MRI Images Created by AI Could Help Train Deep Learning Models

by Jennifer Bresnick

Maybe it takes one to know one – and maybe it takes one to train one.  Researchers at the Mayo Clinic, NVIDIA, and the MGH & BWH Center for Clinical Data Science are exploring how to use MRI images generated by...

Are Universal EHRs Key to Healthcare Value, Trust, and AI Adoption?

by Jennifer Bresnick

Healthcare providers in the United States generally don’t harbor very warm feelings for their electronic health records (EHRs). Despite efforts from vendors and regulators to improve the experience of interacting with these...

Using Big Data, Machine Learning to Reduce Chronic Disease Spending

by Jessica Kent

Diabetes and heart disease are two of the most costly and prevalent chronic conditions impacting patients in the US, leading the healthcare industry to spend billions every year to treat and manage these disorders. As care delivery...

Arguing the Pros and Cons of Artificial Intelligence in Healthcare

by Jennifer Bresnick

In what seems like the blink of an eye, mentions of artificial intelligence have become ubiquitous in the healthcare industry.  From deep learning algorithms that can read CT scans faster than humans to natural language processing...

Machine Learning, Genomics Predict Risk of Aortic Aneurysm

by Jennifer Bresnick

The combination of machine learning tools and genomic data can help predict the risk of abdominal aortic aneurysm (AAA), one of the most frequently fatal heart conditions - and one that is most often diagnosed only after a patient’s...

At Montefiore, Artificial Intelligence Becomes Key to Patient Care

by Jennifer Bresnick

Artificial intelligence (AI) is the newest must-have technology for healthcare organizations seeking to get ahead of costly and clinically dangerous patient care issues while also gaining a competitive edge over their peers. Interest from...

Internet of Things, AI to Play Key Role in Future Smart Hospitals

by Jennifer Bresnick

The Internet of Things (IoT) is expected to combine with the power of artificial intelligence, blockchain, and other emerging technologies to create the “smart hospitals” of the future, according to a new report by Frost &...

Alexa, Siri NLP Skills Not Ready for Reliable Medical Conversations

by Jennifer Bresnick

Alexa, Siri, Google Assistant, and other AI-driven virtual assistants may be useful tools for ordering rideshares and controlling smart homes, but these conversational computing systems are not quite ready for prime time when it comes to...

10 High-Value Use Cases for Predictive Analytics in Healthcare

by Jennifer Bresnick

As healthcare organizations develop more sophisticated big data analytics capabilities, they are beginning to move from basic descriptive analytics towards the realm of predictive insights. Predictive analytics may only be the second of...

Predictive Analytics to Explore Link between Opioids, Suicide Risk

by Jessica Kent

A three-year, $1.4 million Kaiser Permanente study will leverage predictive analytics and machine learning to understand the relationship between opioid use and suicide risk, allowing researchers to develop improved tools for identifying...

Healthcare Artificial Intelligence Market to Top $34B by 2025

by Jennifer Bresnick

The market for healthcare artificial intelligence tools is expected to surpass $34 billion by the middle of the 2020s, driven largely by a growing desire to automate tasks and harness deeper insights into clinical and financial issues,...

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