Quote Of The Year

Quote Of The Year - Paul Shetler - "Its not Your Health Record it's a Government Record Of Your Health Information"

Saturday, October 27, 2018

Weekly Overseas Health IT Links – 27th October, 2018.

Here are a few I came across last week.
Note: Each link is followed by a title and few paragraphs. For the full article click on the link above title of the article. Note also that full access to some links may require site registration or subscription payment.
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Hancock’s ‘tech revolution’ to include mandatory open standards

Matt Hancock has said a ‘tech revolution’ is coming as he outlines his plans for the use of digital technology in health and social care.
Hanna Crouch, 17 October, 2018
Outdated and obstructive NHS IT systems will become a thing of the past, the Secretary of State for Health and Social Care said, as he launched his technology vision.
Proposals in Hancock’s ‘The Future of Healthcare’ policy paper, described as his initial technology strategy, include ensuring there is a modern technology architecture in place; requiring all suppliers to adhere to common standards or cease to do business with the NHS; a commitment to commercial off the shelf technology; and allowing NHS organisations to choose to buy from any supplier that meets standards.
The document adds that “open standards, secure identity and interoperability” are crucial to the success of technology use in healthcare but adds “the gap between where we are and where we want to be is only getting bigger”.
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Where wearables fit into the future of precision medicine

Apps and devices will evolve and tools already around us will become instruments of health to advance tailor-made care delivery and treatments.
October 19, 2018 12:36 PM

BOSTON – Speakers at the Connected Health Conference here on Friday gave a glimpse of the personalized health that wearables are beginning to enable – and offered some predictions about how the apps and devices will likely evolve.
WHY IT MATTERS
A wide number and variety of wearable devices today are already collecting large amounts of data. Fitbit medical director Dr. John Moore, for instance, said it has information about billions of nights of sleep and trillions of hours of step taking.
Sensors are in place and monitoring is already happening, said Dr. Robert Grenfell, director of health and biosecurity at CSIRO, a federal scientific research organization in Australia.
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Challenges Persist in Training Deep Learning Models on EHR Data

Despite early success in using deep learning in areas of healthcare analytics, researchers still face barriers when using EHR data to develop these models.
October 18, 2018 - Deep learning models have demonstrated early potential in improving healthcare analytics, but researchers still have to overcome significant challenges when using electronic health record (EHR) data to develop these models, a study published in JAMIA found.
Deep learning models have shown success in several areas of care delivery, including image classification and disease prediction. The large and complex datasets that are available in healthcare can help facilitate the training of deep learning models. However, training a deep learning model using EHR data could present unique challenges for researchers, due to data quality issues and heterogeneity of data elements.
To evaluate the recent development of deep learning models for EHR data, the researchers conducted a literature review of studies published between January 2010 and January 2018.

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