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    More Patient-Centric Approach to Healthcare with AI

    The role of AI in health care relies around better decision-making, freeing up time for doctors and nurses, and attempting to make processes more accurate.  

    More Patient-Centric Approach to Healthcare with AI

    By

    Apac CIOOutlook | Saturday, April 27, 2019

    Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.

    The application of Artificial Intelligence in the healthcare industry, such as home monitoring devices, wearable sensors, robotic implants, and mobile apps, not only improved efficiency in patient care, but also reduced readmission rates and changed the overall quality of life for people around the world. AI can help to solve present and future challenges in the healthcare sector. The role of AI in health care relies around better decision-making, freeing up time for doctors and nurses, and attempting to make processes more accurate. Here AI's core strengths are pattern recognition and automation of workflow. In addition to reducing costs and helping to diagnose life-threatening diseases such as cancer faster, AI will also mean a more patient-centered approach to health care. This will result in increased patient satisfaction, communication between patient and doctor, and more accurate records of health care.

    Because AI is excellent in pattern identification, the use of this technology for diagnostic purposes makes sense. People already use questionable and anxiety-provoking search results to self-diagnose themselves, but using AI would be a more scientific approach based on medical evidence rather than subjective views from dubious sources. At the other end of the general diagnosis healthcare spectrum, AI can help create custom treatment plans. An AI system can identify possible threats to this patient and recommend a treatment plan by looking into the medical records of a patient, conducting laboratory tests, even using gene analysis. A new way of providing care is personalized, precise medicine. This takes a reverse approach rather than identifying general solutions and making a patient fit a profile. It first looks at the problems of a patient and attempts to find the right solution.

    Science fiction authors and futurists first imagined technologies such as virtual and augmented reality, digital voice assistants and connected devices. Many advanced medical technologies have also made their debut in science fiction. DxtER is a health analytics device that tracks vitality, body chemistry, and biological functions using non-invasive sensors.

    AI is a gold mine in healthcare. It may not soon replace people. But as of now, AI helps both pharmaceutical and healthcare organizations make better, faster decisions. All healthcare workers should pay special attention to AI–and even adopt this technology in 2019.

    Check out: Top Healthcare Analytics Companies

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