artificial intelligence (AI)

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Does Healthcare Need More Programmers? Or, More MacGyvers?

Health care is full of black boxes.  As much as we think we've learned about the human body over the last hundred years, we're still constantly reminded about how little we actually understand its working (e.g., the microbiome). As much time and money we spend training physicians, much of how they diagnose and design treatments for patients remain a mystery.  And does anyone know why we always have to fill out so many damn forms? The many organizations working on applying AI to health care are trying to figure out some of these black boxes, although their solutions may come at the price of new black boxes.  I hope, though, that we don't just turn things over to AI.  We still need people to figure out the problems.

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Driving The Global Conversation About “Open Source Artificial Intelligence”

The Open Source Initiative (OSI) continues the work of exploring complexities surrounding the development and use of artificial intelligence in Deep Dive: AI – Defining Open Source AI, with the goal of collaboratively establishing a clear and defensible definition of “Open Source AI.” OSI is bringing together global experts to establish a shared set of principles that can recreate a permissionless, pragmatic and simplified collaboration for AI practitioners, similar to what the Open Source Definition has done.

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DXC Technology Unveils DXC Open Health Connect Platform Globally to Create a Connected Ecosystem for Better Healthcare Outcomes

Press Release | DXC Technology | February 28, 2018

DXC Technology...today announced DXC Open Health Connect, a digital health platform that enables healthcare providers to give better quality of care and patient outcomes by enabling interoperability between disparate environments to provide data when and where it’s needed across the healthcare system...A connected healthcare ecosystem — including integrated delivery networks, accurate patient data and increased access to information — is essential to lowering costs, improving care quality and boosting patient outcomes. DXC’s agile, cloud-based DXC Open Health Connect enterprise platform delivers the necessary tools and blueprints to healthcare providers and payers to quickly and securely integrate and flow data across the healthcare network.

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Edge computing and the importance of open infrastructure

The "edge" is diverse, dispersed, often independently owned and operated, and comes with a set of constraints not addressed in the average data center. Old sci-fi films painted a picture of how computers would permeate every facet of life in the future. It has come to pass, and it happened almost without us noticing: having PCs at home became commonplace, our mobile phones turned into small smart devices, and our cars began making decisions for us, controlled by thousands of sensors and controllers. Self-driving cars, augmented and virtual reality, smart homes and more all underscore our rapidly emerging dependence on distributed computing infrastructure.

EHR Study Finds Healthcare Leaders Plan to Adopt Enhancing Technologies to Improve Clinician Satisfaction

Press Release | Nuance Communications, Inc. | February 20, 2017

Nuance Communications, Inc. today announced the findings of a new study revealing that a majority of healthcare leaders plan to use additional technologies and tools to realize the full intended benefits of electronic health records (EHRs) and to improve clinician satisfaction with using them. The study also concluded that the improved clinical documentation resulting from EHRs and related technologies will drive positive financial impact for their institutions, including appropriate reimbursement and increased patient flow...

Experts Say IBM Watson’s Flaws are Rooted in Data Collection and Interoperability

Evan Sweeney | Fierce Healthcare | September 6, 2017

Despite being backed by a significant budget and the marketing power of a major technology company, IBM Watson appears to be falling short of expectations when it comes to revolutionizing cancer care. The shortcomings of IBM’s premier artificial intelligence system—made famous by its appearance on Jeopardy in 2011 and later co-pted to provide support for oncologists—are linked to a number of factors, according to an in-depth investigation by Stat that included interviews with doctors and artificial intelligence experts from around the world...

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Facebook’s Artificial Intelligence Research Lab Releases Open Source FastText on GitHub

John Mannes | Tech Crunch | June 18, 2016

Every day, billions of pieces of content are shared on Facebook. To keep up with the data, Facebook has been using a variety of tools to classify text. Traditional methods of classification, like deep neural networks are accurate, but have serious training requirements. Read More »

Finland and IBM Partner to Develop Personalized Healthcare and Spark Economic Growth with Watson

Press Release | Tekes, IBM Watson Health | September 14, 2016

Tekes – the Finnish Funding Agency for Innovation (Tekes) and IBM today announced a partnership that will enable Finland to utilize Watson cognitive computing to help doctors improve the health of its citizens, and strengthen and develop the Finnish innovation and business ecosystem in the fields of health and well-being...

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Five Tech Trends Affecting Healthcare IT Today, and Tomorrow

Technology is evolving faster than ever before, and shows no sign of slowing down. Digital innovation has enhanced the way we operate in almost every aspect of modern life, but in the healthcare industry, technology is not only changing lives, it's saving them too. Outlined below are five technology trends that are taking hold of the healthcare IT industry today, and what developments we can expect to see over the course of 2019 and beyond.

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Four Lessons In The Adoption Of Machine Learning In Health Care

Ernest Sohn, Joachim Roski, Steven Escaravage, and Kevin Maloy | Health Affairs | May 9, 2017

The March issue of Health Affairs demonstrates the potential of health care delivery system innovation to improve value for both patients and clinicians. Technology innovations such as machine learning and artificial intelligence systems are promising breakthroughs to improve diagnostic accuracy, tailor treatments, and even eventually replace work performed by clinicians, especially that of radiologists and pathologists. Machine-learning systems infer patterns, relationships, and rules directly from large volumes of data in ways that can far exceed human cognitive capacities...

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Foxconn Constructs HTML5 Smart Cross-Platform Integrating Support For Eight Screens, Internet And Cloud

Staff Writer | DigiTimes | February 21, 2014

The prospects of smart applications, which are needed to serve the purposes of cloud-based networks of sensing devices, IoT (Internet of Things) and terminal devices, have triggered strong interests in Big Data and inspired imaginations of next-generation cognitive computing and artificial intelligence. [...] Read More »

From Data Silos to Black Holes...the Story of America's Healthcare System?

The scary thing about black holes is that their gravity inexorably drags in everything within its reach. Unless you are very far away or have sufficient escape velocity, you will get pulled in, and, once you are sucked in, you are never getting out. We call it our "healthcare" system, but usually what we mean is medical care. It treats illnesses, it puts us under the care of medical professionals, it turns us into patients. A doctor's visit begats prescriptions, and perhaps some testing. Testing leads to procedures. Procedures lead to hospital stays. Hospital stays lead to....you get the idea. What we might once have thought of as "health" -- or never thought about at all -- becomes "health care," a.k.a. medical care. And once you transform from a person, whose health belongs to you, to a patient, your health is never quite your own again. You've been sucked into the medical care black hole.

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Genomics and Precision Medicine Pioneer Jonathan Rothberg to Deliver Connected Health Conference Keynote on Transforming Healthcare with Semiconductors and Artificial Intelligence

Press Release | Personal Connected Health Alliance | October 26, 2016

The Personal Connected Health Alliance (PCHAlliance) today announced that genomics and precision medicine pioneer, Jonathan Rothberg, MS, MPhil, and PhD, will deliver a keynote presentation at the Connected Health Conference on Monday morning, December 12, 2016. Rothberg's keynote will focus on the integration of novel medical devices with deep learning and cloud computing to transform and democratize healthcare...

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Get Smart, Integrate Artificial Intelligence into Your Business, Sooner

We've moved from the Computer Information Age to the "Digital Data Artificial Intelligence Age." It's the 4th Industrial Revolution. Just as computers transformed business processes and created the need for an "Information Technology Strategy." Today an integrated enterprise "Business - IT - Big Data - AI Strategy" is essential to lower costs and expand markets through differentiated products and services. The Artificial Intelligence strategy is not an add-on. It needs to be a core element of your enterprise strategic plan in 2019 and beyond!

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Google DeepMind, NHS Partnership Sparks Privacy Fears

Grant Ferowich | Fierce Healthcare | November 22, 2016

The artificial intelligence branch of Google and the Royal Free NHS agreed to a five-year deal that will allow Google DeepMind's algorithms to monitor the health data of 1.6 million patients. Google DeepMind and the National Health Service will partner in a move that alerts providers about abnormalities in patients’ vital signs and blood results—and privacy advocates have already started to cry foul...

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