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.

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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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Sex-specific VIRGO taxonomy better classifies women with MI

Nearly one in six young women who suffer a heart attack can’t be classified under the Fourth Universal Definition of MI, according to a study out of Yale University—but the majority can be accurately classified using a sex-specific taxonomy known as VIRGO.

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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.