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.

Deep learning shows promise for cutting overutilization of lumbar imaging, surgery

Low-back imaging and interventions are often named among healthcare’s iffiest expenses due to the hit-or-miss predictability of the outcomes.

Top 20 states for healthcare access

Hawaii is the state with the best overall access to healthcare, achieving high scores for percentages of residents with a personal physician and children with a medical home while minimizing unmet needs for mental healthcare and doctor avoidance due to cost.

AI primed to play crucial role in the war on opioid addiction

Three machine learning algorithms have identified patients likely to suffer extreme pain following surgery with about 80% accuracy each.

Thumbnail

AI appears headed for the endoscopy suite

Nearly 90% of U.S. gastroenterologists are open to using AI for help performing high quality colonoscopies. And of these, 85% believe that computer-assisted polyp detection (CADe) stands to improve their endoscopic performance.

Cyberattack remediation winding down at sprawling health system

More than a week after protectively disconnecting all online systems in the U.S. following a Sept. 27 cyberattack, a multistate, two-nation health system is coming back online.

To nobody’s gain, psychiatric patients are getting ‘stuck’ in inpatient beds

Along with the unprecedented challenges COVID-19 has brought to U.S. hospitals in 2020 are some older sore spots that the pandemic has only inflamed.

AI links COVID-19 to poor sleep, bad dreams

The COVID-19 pandemic is a bad dream in the truest sense of the word—and AI helps to prove it, a team of researchers assert in a study published online Oct. 1 in Frontiers in Psychology.

AI could correct male bias in drug trials

Researchers at Columbia University have developed a machine learning algorithm that identifies and predicts gender-based differences in adverse reactions to drugs. 

Around the web

With generative AI coming into its own, AI regulators must avoid relying too much on principles of risk management—and not enough on those of uncertainty management.

Cardiovascular devices are more likely to be in a Class I recall than any other device type. The FDA's approval process appears to be at least partially responsible, though the agency is working to make some serious changes. We spoke to a researcher who has been tracking these data for years to learn more. 

Updated compensation data includes good news for multiple subspecialties. The new report also examines private equity's impact on employment models and how much male cardiologists earn compared to females.

Trimed Popup
Trimed Popup