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.

Next-day discharge after TMVR is on the rise

By 2018, nearly half of all TMVR patients were going home the very next day. Outcomes for these patients have been consistently positive. 

AI saves pediatricians time, provides ‘more actionable guidance’ for asthma care

An AI tool for managing pediatric asthma shaved 7.8 minutes from the time pediatricians spent dealing with electronic health records in a randomized clinical trial conducted at the Mayo Clinic. 

Best and worst states for healthcare

Massachusetts is the best state in the nation for healthcare in 2021, according to new rankings from WalletHub.

 

Patients draw pictures, AI classifies dementia

Deep learning can accurately distinguish dementia from mild cognitive impairment by looking at pictures of analog clocks as drawn by individuals thought to be affected.

Kidney stones relatively easy marks for AI-guided shockwaves

AI-aimed blasting of kidney stones from outside the body hit intended targets at a 75% clip in a proof-of-concept study, pulverizing conventional lithotripsy, which missed the mark almost half the time.

COVID outcomes predictor suffers only slight sophomore slump

The model’s consistent overall accuracy demonstrates the reusability of existing COVID algorithms with recalibrations rather than fallbacks to square one, AI developers suggest.

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Medicare improves racial healthcare inequities

Medicare is associated with reductions in racial and ethnic disparities in insurance coverage, access to care and self-reported health across the U.S., according to a new study published in JAMA.

 

Bias-resistant AI advances personalized medicine in surgery

Researchers in Denmark and the U.S. have used deep neural networks to develop complementing models for predicting complications likely to arise in patients who’ve had surgeries of all kinds.