Patient Care

This page includes news coverage of various aspects of patient healthcare, including new technology innovations, what is working, what is not, personalized medicine and remote and telemedicine delivery. Find specific news in the areas of Care DeliveryDigital TransformationPrecision MedicineRemote Monitoring and Telehealth.

Thumbnail

Certified EHRs have some patient safety issues

Electronic medical record products may have patient safety issues––even if they’re certified, according to a new study published in JAMA.

Thumbnail

AI-powered risk score IDs patients at risk of stroke

Researchers have had limited success developing a genomic risk score (GRS) that can predict stroke. Could machine learning be the answer?

Thumbnail

Express Scripts collaborates with Prime Therapeutics

Express Scripts, a large pharmacy benefit management organization owned by Cigna, announced a three-year collaboration with Prime Therapeutics.

 

Thumbnail

How AI could limit gadolinium use when treating MS

Deep learning (DL) can predict and enhance MS lesions on unenhanced MRI scans, according to a new study published in Radiology

AI algorithm optimizes CCTA image quality

Deep learning can improve the quality of coronary CT angiography (CCTA) images, according to a new study published in Academic Radiology.

Thumbnail

Americans open to sharing their data for drug development, AI

Several major technology companies have come under scrutiny for being granted access to some patient health data to develop new technologies and tools, but Americans may be more open to sharing their information in the name of innovation for specific purposes.

Thumbnail

Partners Healthcare’s new $100M digital health push

Partners Healthcare, an integrated healthcare system founded by Brigham and Women’s Hospital and Massachusetts General Hospital, has launched a five-year, $100 million digital health initiative to provide a number of new services for patients and boost digital innovation.

Thumbnail

AI improves prediction of heart attack, cardiac death

Machine learning (ML) can predict a patient’s long-term risk of myocardial infarction (MI) or cardiac death, according to new findings published in Cardiovascular Research.