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 Delivery, Digital Transformation, Precision Medicine, Remote Monitoring and Telehealth.

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Swedish company to tackle loneliness among seniors with AI

Accenture, a global professional services company, has teamed up with Stockholm Exergi, one of Sweden’s largest energy suppliers, to put AI to the test in a new project aimed at addressing loneliness among seniors.

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Digitized and data-driven, drug development is poised for a major leap forward

Drug development is on the cusp of becoming considerably faster, smarter and all-around better.

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Digital symptom checkers aided by AI are largely operating in the dark

Options are increasing for healthcare consumers looking to check their symptoms with an AI digital platform for self-diagnosis. However, research into the use, accuracy and regulation of these technologies is woefully scant.

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AI in healthcare surge could reduce face time with doctors, nurses

The boom in the emergence of AI and other innovative technologies in the healthcare space comes with a new risk: the expense of human contact.

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Can an AI chatbot alleviate postpartum depression in developing regions?

Researchers are looking into whether live and automated text messaging augmented by AI can help treat or ward off postpartum depression for women in Kenya.

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Harvard researcher creates machine learning model to treat drug resistant tuberculosis

A Harvard undergrad has created a computer program that can improve the treatment of tuberculosis, an infectious disease with unique challenges thanks to its shapeshifting ability to resist drugs.

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Blockchain could change patient health records

Blockchain technology is already expected to have a major impact in the healthcare space, and the wearables sector could do with an injection of the technology, as well, writes Lucas Mearian for ComputerWorld.

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Sepsis may have met its match in an algorithm

A machine-learning algorithm has surpassed four commonly used methods for catching sepsis early in hospital patients, giving clinicians up to 48 hours to intervene before the condition has a chance to begin turning dangerous.  

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Around the web

Cardiovascular Business
FDA commissioner urges clinicians to join fight against medical misinformation

FDA Commissioner Robert Califf, MD, said the clinical community needs to combat health misinformation at a grassroots level. He warned that patients are immersed in a "sea of misinformation without a compass."
 

AI in Healthcare
4 points crucial to the nimble regulation of GenAI

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 Business
Q&A: Why are cardiovascular devices involved in so many recalls? FDA policies may be to blame

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. 

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