Quote Of The Year

Timeless Quotes - Sadly The Late Paul Shetler - "Its not Your Health Record it's a Government Record Of Your Health Information"

or

H. L. Mencken - "For every complex problem there is an answer that is clear, simple, and wrong."

Saturday, October 24, 2020

Weekly Overseas Health IT Links – 24 October, 2020.

 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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https://www.digitalhealth.net/2020/10/guys-and-st-thomas-epic-preferred-supplier/

Guy’s and St Thomas’ chooses Epic as ‘preferred supplier’ for £175m EHR

One of the biggest NHS trusts in London has selected Epic as its ‘preferred supplier’ for a new electronic health record (EHR) in a deal worth £175million.

Hanna Crouch – 9 October, 2020

Guy’s and St Thomas’ NHS Foundation Trust issued a tender in May 2019 which included a requirement for GPs to have direct access to the EHR, as well as having the option of linking up to King’s College Hospital NHS Foundation Trust and possibly Royal Brompton and Harefield NHS Foundation Trust.

A spokesperson for the trust confirmed that Epic was its “preferred supplier”.

“Following a competitive procurement process, we have selected Epic as the preferred supplier for our new electronic health record system and are in the process of finalising contracts following approval of the full business case,” they said.

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https://healthitanalytics.com/news/predictive-analytics-models-forecast-prevalence-of-flu-strains

Predictive Analytics Models Forecast Prevalence of Flu Strains

The predictive analytics models examine virus’ genetic codes to understand how the flu will evolve, potentially leading to more protective vaccines.

By Jessica Kent

October 14, 2020 - Predictive analytics models that evaluate genetic and experimental data could more accurately forecast which flu strains will be most prevalent during the next winter, according to a study published in eLife.

The models have the potential to make flu vaccines more accurate and protective, resulting in fewer illnesses and deaths.

Seasonal flu infects between five and 15 percent of the world’s population each year, causing between a quarter of a million and half a million deaths, researchers stated. While vaccination is the best protection against seasonal flu, the flu virus changes its molecular appearance each year, meaning the virus is able to get past the immune defenses learned from the year before.

Every year, the vaccine needs updating. But it takes almost a year to design a new flu vaccine, researchers have to be able to predict what flu viruses will look like in the future. The current prediction approach relies on experiments that assess the molecular appearance of flu viruses, particularly at a key molecule that coats the virus called haemagglutinin.

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https://www.fiercehealthcare.com/hospitals/backing-from-walmart-rwjbarnabas-announces-launch-integrated-social-determinants-heatlh

RWJBarnabas launching 'universal' social determinants of health screening

Social determinants of health screening will be phased in across each of RWJBarnabas Health's facilities by the end of 2021. (RWJBarnabas)

Every single patient that heads to a RWJBarnabas Health facility will be soon be screened for social determinants of health and, if needed, referred to services for ongoing support, officials announced Tuesday.

SDOHs are social or environmental factors in a patient's life—such as their access to healthy food, safe housing or transportation—that can ultimately impact their health. 

Officials from the New Jersey-based health system say the program, called Health Beyond the Hospital (HBTH), will be the first "end-to-end, universally applied, culturally-tailored and fully integrated" SDOH program in the country. 

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https://www.statnews.com/2020/10/15/ai-faces-major-test-can-it-differentiate-covid19-from-flu/

AI is about to face a major test: Can it differentiate Covid-19 from flu?

By Casey Ross

October 15, 2020

It’s long past hackathon time.

With Covid-19 cases surging in parts of the U.S. at the start of flu season, developers of artificial intelligence tools are about to face their biggest test of the pandemic: Can they help doctors differentiate between the two respiratory illnesses, and accurately predict which patients will become severely ill?

Numerous AI models are promising to do exactly that by sifting data on symptoms and analyzing chest X-rays and CT scans. For now, the increased availability of coronavirus testing means AI is unlikely to be relied upon for frontline detection and diagnosis. But it will become increasingly important for figuring out how aggressively to treat patients and which ones are likely to need intensive care beds, ventilators, and other equipment that could become scarce if there’s a Covid-flu “twindemic.”

“That’s on the forefront of everyone’s mind right now,” said Anna Yaffee, an emergency medicine physician at Emory University who helped build an online symptom checker to assess Covid-19 patients. “Although both viruses are similarly managed, they are not the same entity, and patients will need different things.”

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