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Artificial Intelligence, AI, Is Becoming the New Operating System in Health – Accenture

Artificial Intelligence, AI, can help drive the Triple Aim in healthcare, reducing cost, improving quality, and expanding access, according to¬†Artificial Intelligence: Healthcare’s New Nervous System from Accenture. Acquisitions of AI developers in health will be fast-paced, growing at a compound annual growth rate of 40% – “explosive” in the word of Accenture – moving from $600 mm in 2014 to $6.6 billion in 2021. What these AI startups will do is to enable machines to sense, comprehend, act and learn, Accenture foresees, to augment administrative and clinical tasks which could free up healthcare labor (say, doctors, other clinicians, and accountants)

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A New Health Risk: Hacked Personal Medical Devices

We have entered an era of insecurity in healthcare in America. While major attention is being paid to healthcare insurance and service insecurity, food insecurity and financial insecurity, there’s another one to add to this list: medical device security. As more medical devices have moved into the digital internet-connected mode, the risk for malware, ransomware, and overall hack-ability grows. This increasing and challenging risk is covered in the report,¬†Medical Device Security: An Industry Under Attack and Unprepared to Defend from Ponemon Institute. Ponemon Institute has been tracking information security across industries, including healthcare, for several years. In this survey, sponsored

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Expecting Alexa and Roomba for Health: Emerging AI and Robotics Trends for Healthcare via PwC

“What doctor?” asks the title of a PwC report on the emergence of artificial intelligence (AI) and robotics in healthcare. AI and robot technology are penetrating all aspects of the macroeconomy, and they’ve begun to re-shape the health economy, as well. Underneath PwC’s titular question are two lenses: the role of the AI/robot doctor vis-a-vis the role of the human doctor. PwC identifies eight areas that AI and robotics will impact in healthcare, shown in the first diagram: Decision making Diagnosis Early detection End of life care Keeping well Research Training, and Treatment. For keeping well, AI and robotics can

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