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AI and Machine Learning: Disrupting Healthcare

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The promise of artificial intelligence (AI) and machine learning to improve care and outcomes, lower the cost of care, and increase patient and provider satisfaction is fast-tracking these disruptive technologies for significant growth in healthcare in the immediate future. In a recent Healthcare IT News/HIMSS Analytics survey, about 35% of healthcare organizations plan to leverage artificial intelligence within two years – and more than 50% intend to do so within five years.* These technologies can categorize and analyze huge amounts of both structured and unstructured data to glean clinical insights to improve individual and population health through better diagnoses, disease pattern identification and treatment methods. They can improve infrastructure, workflows and data management, and other tasks and processes – increasing productivity, consistency and quality, and reducing costs and errors. They can improve the provider-patient experience, allowing physicians to spend more time with patients by automating time-intensive tasks like medical image analyzation, data entry, and procedure and condition monitoring.


The best rowing machines for working out at home

Mashable

Are you looking for a full body workout at home? Either way, a rowing machine is a solid choice. Luckily, there are plenty of rowing machines out there -- plus, a variety of price points, sizes, and specifications. We've done most of the work for you, so we can get you off the computer and onto your rower in no time. You can thank us later when those muscles are bulging.


Open Source Site Aims to Boost Use of Machine Learning 7wData

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A vendor with experience and products in data warehousing and analytics is creating a community for open-source software intended to streamline efforts to use machine learning applications in healthcare. Health Catalyst has created healthcare.ai as a repository of healthcare-focused open source machine learning software, saying that it's important for the industry to benefit from the technology and democratize machine learning in healthcare. In addition to creating the web site and contributing its tools and algorithms to the open-source community, the company is offering ongoing support to maintain it. The Salt Lake City-based company says the site will provide one site to download algorithms and tools, contribute code, read documentation and communicate with other healthcare professionals who are interested in using the technology to improve patient care. The initiative hopes to spread interest and use of machine learning and artificial intelligence by serving as a repository for coding work in the healthcare arena.


buquati.com

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Government bans fax machines in the NHS

BBC News

The NHS will be banned from buying fax machines from next month - and has been told by the government to phase out the machines entirely by 31 March 2020. In July, the Royal College of Surgeons revealed nearly 9,000 fax machines were in use across the NHS in England. The Department of Health said a change to more modern communication methods was needed to improve patient safety and cyber security. An RCS spokesman said they supported the government's decision. In place of fax machines, the Department of Health said secure email should be used.