Saturday, June 02, 2018
Weekly Overseas Health IT Links – 2nd June, 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.
A new online self-assessment tool that enables organisations to measure their data security against national standards has been launched.
Hanna Crouch – 22 May 2018
The Data Security and Protection Toolkit, which replaces the previous Information Governance toolkit, has been designed to ensure that patient data is secure.
All organisations that have access to NHS patient data and systems, including NHS trusts, primary care and social care providers and commercial third parties, must complete the toolkit to provide assurance that they are practising good data security and that personal information is handled correctly.
A machine learning tool developed at Carnegie Mellon University uses big data from the electronic health record to accurately predict sepsis.
By Jessica Kent
May 24, 2018 - Researchers at Carnegie Mellon University’s (CMU) Heinz College are applying a machine learning algorithm to big data in the electronic health record (EHR) to more accurately predict sepsis, one of the most dangerous and insidious hospital acquired conditions.
The Sepsis Alliance reports that more than 1.7 million people in the US are diagnosed with sepsis annually. Of those affected by the condition, an estimated 270,000 die each year.
Sepsis is also the number one driver of hospital costs in the US, consuming more than $27 billion annually. Many times, the infection is acquired in the community, and patients with complex comorbidities are often at the highest risk.
Posted by Dr David G More MB PhD at Saturday, June 02, 2018