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UK’s NHS Hires US ‘Spy-Tech’ Firm Palantir To Extract Patient Data Without Patient Consent

UK’s NHS Hires US ‘Spy-Tech’ Firm Palantir To Extract Patient Data Without Patient Consent

Authored by Nick Corbishley via NakedCapitalism.com,

Palantir,…

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UK's NHS Hires US 'Spy-Tech' Firm Palantir To Extract Patient Data Without Patient Consent

Authored by Nick Corbishley via NakedCapitalism.com,

Palantir, with intimate ties to defense, intelligence and security industries around the world, is set to play an even larger role in the UK’s crisis-ridden National Health System (NHS).

Last summer, as readers may recall, executives at NHS England — the non-departmental government body that runs the National Health Service in England — came up with an ingenious plan to digitally scrape the general practice data of up to 55 million patients and share it with any private third parties willing to pay for it. NHS England allowed patients to opt out of the scheme; they just didn’t bother telling them about it until three weeks before the deadline, presumably because if they had, millions of patients would have opted out.

When the FT finally broke the story, a scandal erupted. NHS England officials responded by shelving the scheme, saying they needed to focus on reaching out to patients and reassuring them their data is safe. But that hasn’t happened. Instead, they have waited for the scandal to die down before embarking on an even more egregious scheme.

This time it is patient data from UK hospitals that is up for grabs. And patients will have no opt-out option. In fact, without even consulting patients, NHS England has instructed NHS Digital — which will soon be merged with NHS England as part of the UK’s governments accelerated reforms to the NHS’ “tech agenda” — to gather patient data from NHS hospitals and extract it to its data platform, which is based on Palantir’s Foundry enterprise data management platform.

The pretext for taking such a step is that researching and analyzing patients’ hospital data will help the NHS better understand and tackle the crisis in treatment waiting times resulting from the COVID-19 pandemic. But the result will be yet more private-sector involvement in essential NHS processes. And in this case, the company being involved in those processes is one of the darkest in the tech universe.

A Highly Coveted Prize

The NHS is the world’s seventh largest employer. And it is home to one of the richest repositories of patient data on the planet. “One of the great requirements for health tech is a single health database,” Damindu Jayaweera, head of technology research at UK investment bank Peel Hunt told Investors’ Chronicle. “There are only two places as far as I know that digitise the data of the whole population from birth to death… China and the UK.”

As the FT reported earlier this year, Palantir aspires to become the underlying data operating system for the NHS. To that end, it has already lured two senior NHS managers to its executive suites, including the former chief of artificial intelligence. It now has its sights set on the ultimate prize: a five-year, £360 million contract to manage the personal health data of millions of patients.

Palantir’s latest encroachment into NHS operations came to light thanks to the publication of board paper’s just hours before NHS Digital’s latest board meeting, on November 1. Those papers no longer seem to be accessible so I am relying on a report published on Friday 4 by The Register, a British technology news website, as well as a heavily detailed twitter thread by Phil Booth of MedConfidential, a group campaigning for confidentiality and consent in health and social care.

According to Booth, on page 158 of the board papers NHS England instructs NHS Digital to use Palantir Tech’s Foundry platform to “collect patient-level identifiable [hospital] data pertaining to admission, inpatient, discharge and outpatient activity from acute care settings on a daily basis.”

Following previous data debacles, both the NHS and UK government ministers had pledged that in future any patient data shared for research and analysis purposes would be anonymized. But now they are talking about using “pseudonymized” data, which is completely different. In 2014, the Information Commissioner’s Office (ICO), the UK’s independent regulatory office (national data protection authority) dealing with the Data Protection Act 2018 and the General Data Protection Regulation, said the following about pseudonymized data:

Pseudonymising personal data can reduce the risks to the data subjects and help you meet your data protection obligations.

However, pseudonymisation is effectively only a security measure. It does not change the status of the data as personal data. Recital 26 makes it clear that pseudonymised personal data remains personal data and within the scope of the UK GDPR.

“…Personal data which have undergone pseudonymisation, which could be attributed to a natural person by the use of additional information should be considered to be information on an identifiable natural person…”

In other words, says Booth, “while NHS England may want to ignore people’s opt-outs from Research & Planning uses, and contorts itself to say their data’s not ‘confidential patient information’, the law(s) says otherwise.”

There are also serious questions about who exactly will be doing the pseudonymisation, and who will hold the keys, says Booth: “There’s a world of difference between an independent statutory Safe Haven (i.e. NHS Digital), NHS England which wants ALL the data to use for whatever it wants, and Palantir.”

A Dark Company

Named after the “seeing stones” used in The Lord of the Rings, Palantir was set up in 2003 with seed money from the CIA’s venture capital arm, In-Q-Tel (IQT). It is one of the darkest companies in the tech sphere. While it is making significant inroads in the corporate world, its main line of business is to provide data-mining technology to support US military operations, mass surveillance, and predictive policing. Its technology is also used by ICE to identify illegal migrants before detaining and deporting them.

When, in 2018, thousands of Google employees refused to participate in Project Maven, a secret Pentagon-funded AI pilot program aimed at the unmanned operation of aerial vehicles, the project was taken up by Palantir. Critics warn that the technology could pave the way to autonomous weapons that decide who to target without human input. In February 2021, Palantir’s chief operating officer boasted to investors that Palantir was driving towards being “inside of every missile, inside of every drone.”

This is a company that deals in death on a daily basis but is also rapidly building a stake in the health and life services sector. During the early months of the pandemic it was one of a number of companies chosen to help collect, store, process and share data for the United States Department of Health and Human Services (HHS) — a project that the Electronic Frontier Foundation (EFF) warned poses “a grave threat to the data privacy of all Americans.”

On the other side of the pond, the UK Government signed a deal in March 2020 with an assortment of private tech firms, including Palantir, to help run the NHS’s massive COVID-19 “data store”. It was supposed to be a short-term arrangement but in December of the same year the Department of Health and Social Care awarded Palantir an additional two-year contract, worth up to £23 million, to help run the NHS’ massive database.

Palantir’s gathering takeover of NHS data services has met strong resistance. In September 2021, the UK’s Department for Health and Social Care was forced to terminate a contract with Palantir over the management of social care data, following a massive protest campaign involving more than 50 groups. The move was taken as a tentative sign that the UK government may finally be pivoting away from using Palantir’s services, at least in the healthcare sector. That is clearly not the case.

But even if the UK government had made that pivot, Palantir had a back-up plan in place, as Bloomberg reported in late September. That plan was laid out by Palantir’s regional head Louis Mosley in a Sept. 24 email entitled “Buying our way in…!”, and it essentially involved “hoovering up” small businesses serving the NHS to “take a lot of ground and take down a lot of political resistance.”

As Cory Doctorow notes in his excellent post last month, How Palantir Will Steal the NHS, Palantir has essentially unfettered access to the capital markets, as well as the deep pockets of its founder, the “cartoon villain” Peter Thiel. While it is clear that good data management has a crucial role to play in the future of health and social care provision, Palantir’s unshakeable commitment to proprietary, secretive software development methodologies makes it woefully ill-suited for NHS service provision:

Compare the NHS to Ben Goldacre’s landmark “Better, broader, safer: using health data for research and analysis”:

https://www.gov.uk/government/publications/better-broader-safer-using-h…

Goldacre argues that the only way to unlock the medical insights in aggregate NHS patient data is with public software: an open and free “trusted research platform” that anyone can audit and verify.

While the code for this platform would be public, NHS patient data would never leave it. Instead, researchers who wanted to investigate hypotheses about the effectiveness of different interventions would send queries to the platform and get results back — without ever touching the data.

This is a system that only works if it’s hosted by democratically accountable public services — not by private actors accountable to their shareholders, and certainly not secretive companies whose primary expertise is in helping spy agencies conduct mass surveillance.

As Doctorow notes, most people in the UK do not want the NHS to be privatised. For them the NHS, founded in 1948 on the principles of free and equal access to medical treatment, is sacrosanct:

But while the British people oppose privatisation, the British investor class are slavering for it. Oligarchs love to loot public services, which is why the IMF is so adamant that the countries it “helps” sell off their public water, housing, even their roads and schools and museums…

[The NHS] has been subject to the death of a thousand literal cuts, as Tories and Labour alike have starved it of resources. More importantly, both parties have turned ever-larger chunks of the NHS over to private-sector looters who have taken over hospitals, services, record-keeping and more.

An Even Bigger Picture

But this is not just about the NHS. It is about our governments’ role as guardians of our most precious data, including our health and biometric information. As governments, central banks and global corporations trip over each other to rush into existence digital identity programs and central bank digital currencies, that role is set to grow exponentially (unless, of course, we can stop them in their tracks).

In the new digital age that is rapidly forming around us, citizens will be custodians of our own data. We will be the ones who get to decide which parts of our data get shared and with whom. At least that is what we are being told. But these are just words, and words can be hollow.

We have to judge our governments on their actions. And their actions to date — including NHS England’s decision to grant custodianship of NHS patients’ hospital data to Palantir without even informing patients, the US State Department’s decision to give intelligence and law enforcement agencies unfettered access to more than 145 million Americans’ personal data, and the US government’s plans to share the biometric data of its citizens with dozens of other governments — speak of a whole different reality.

Tyler Durden Wed, 11/09/2022 - 02:00

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Government

Mathematicians use AI to identify emerging COVID-19 variants

Scientists at The Universities of Manchester and Oxford have developed an AI framework that can identify and track new and concerning COVID-19 variants…

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Scientists at The Universities of Manchester and Oxford have developed an AI framework that can identify and track new and concerning COVID-19 variants and could help with other infections in the future.

Credit: source: https://phil.cdc.gov/Details.aspx?pid=23312

Scientists at The Universities of Manchester and Oxford have developed an AI framework that can identify and track new and concerning COVID-19 variants and could help with other infections in the future.

The framework combines dimension reduction techniques and a new explainable clustering algorithm called CLASSIX, developed by mathematicians at The University of Manchester. This enables the quick identification of groups of viral genomes that might present a risk in the future from huge volumes of data.

The study, presented this week in the journal PNAS, could support traditional methods of tracking viral evolution, such as phylogenetic analysis, which currently require extensive manual curation.

Roberto Cahuantzi, a researcher at The University of Manchester and first and corresponding author of the paper, said: “Since the emergence of COVID-19, we have seen multiple waves of new variants, heightened transmissibility, evasion of immune responses, and increased severity of illness.

“Scientists are now intensifying efforts to pinpoint these worrying new variants, such as alpha, delta and omicron, at the earliest stages of their emergence. If we can find a way to do this quickly and efficiently, it will enable us to be more proactive in our response, such as tailored vaccine development and may even enable us to eliminate the variants before they become established.”

Like many other RNA viruses, COVID-19 has a high mutation rate and short time between generations meaning it evolves extremely rapidly. This means identifying new strains that are likely to be problematic in the future requires considerable effort.

Currently, there are almost 16 million sequences available on the GISAID database (the Global Initiative on Sharing All Influenza Data), which provides access to genomic data of influenza viruses.

Mapping the evolution and history of all COVID-19 genomes from this data is currently done using extremely large amounts of computer and human time.

The described method allows automation of such tasks. The researchers processed 5.7 million high-coverage sequences in only one to two days on a standard modern laptop; this would not be possible for existing methods, putting identification of concerning pathogen strains in the hands of more researchers due to reduced resource needs.

Thomas House, Professor of Mathematical Sciences at The University of Manchester, said: “The unprecedented amount of genetic data generated during the pandemic demands improvements to our methods to analyse it thoroughly. The data is continuing to grow rapidly but without showing a benefit to curating this data, there is a risk that it will be removed or deleted.

“We know that human expert time is limited, so our approach should not replace the work of humans all together but work alongside them to enable the job to be done much quicker and free our experts for other vital developments.”

The proposed method works by breaking down genetic sequences of the COVID-19 virus into smaller “words” (called 3-mers) represented as numbers by counting them. Then, it groups similar sequences together based on their word patterns using machine learning techniques.

Stefan Güttel, Professor of Applied Mathematics at the University of Manchester, said: “The clustering algorithm CLASSIX we developed is much less computationally demanding than traditional methods and is fully explainable, meaning that it provides textual and visual explanations of the computed clusters.”

Roberto Cahuantzi added: “Our analysis serves as a proof of concept, demonstrating the potential use of machine learning methods as an alert tool for the early discovery of emerging major variants without relying on the need to generate phylogenies.

“Whilst phylogenetics remains the ‘gold standard’ for understanding the viral ancestry, these machine learning methods can accommodate several orders of magnitude more sequences than the current phylogenetic methods and at a low computational cost.”


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International

There will soon be one million seats on this popular Amtrak route

“More people are taking the train than ever before,” says Amtrak’s Executive Vice President.

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While the size of the United States makes it hard for it to compete with the inter-city train access available in places like Japan and many European countries, Amtrak trains are a very popular transportation option in certain pockets of the country — so much so that the country’s national railway company is expanding its Northeast Corridor by more than one million seats.

Related: This is what it's like to take a 19-hour train from New York to Chicago

Running from Boston all the way south to Washington, D.C., the route is one of the most popular as it passes through the most densely populated part of the country and serves as a commuter train for those who need to go between East Coast cities such as New York and Philadelphia for business.

Veronika Bondarenko captured this photo of New York’s Moynihan Train Hall. 

Veronika Bondarenko

Amtrak launches new routes, promises travelers ‘additional travel options’

Earlier this month, Amtrak announced that it was adding four additional Northeastern routes to its schedule — two more routes between New York’s Penn Station and Union Station in Washington, D.C. on the weekend, a new early-morning weekday route between New York and Philadelphia’s William H. Gray III 30th Street Station and a weekend route between Philadelphia and Boston’s South Station.

More Travel:

According to Amtrak, these additions will increase Northeast Corridor’s service by 20% on the weekdays and 10% on the weekends for a total of one million additional seats when counted by how many will ride the corridor over the year.

“More people are taking the train than ever before and we’re proud to offer our customers additional travel options when they ride with us on the Northeast Regional,” Amtrak Executive Vice President and Chief Commercial Officer Eliot Hamlisch said in a statement on the new routes. “The Northeast Regional gets you where you want to go comfortably, conveniently and sustainably as you breeze past traffic on I-95 for a more enjoyable travel experience.”

Here are some of the other Amtrak changes you can expect to see

Amtrak also said that, in the 2023 financial year, the Northeast Corridor had nearly 9.2 million riders — 8% more than it had pre-pandemic and a 29% increase from 2022. The higher demand, particularly during both off-peak hours and the time when many business travelers use to get to work, is pushing Amtrak to invest into this corridor in particular.

To reach more customers, Amtrak has also made several changes to both its routes and pricing system. In the fall of 2023, it introduced a type of new “Night Owl Fare” — if traveling during very late or very early hours, one can go between cities like New York and Philadelphia or Philadelphia and Washington. D.C. for $5 to $15.

As travel on the same routes during peak hours can reach as much as $300, this was a deliberate move to reach those who have the flexibility of time and might have otherwise preferred more affordable methods of transportation such as the bus. After seeing strong uptake, Amtrak added this type of fare to more Boston routes.

The largest distances, such as the ones between Boston and New York or New York and Washington, are available at the lowest rate for $20.

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International

The next pandemic? It’s already here for Earth’s wildlife

Bird flu is decimating species already threatened by climate change and habitat loss.

I am a conservation biologist who studies emerging infectious diseases. When people ask me what I think the next pandemic will be I often say that we are in the midst of one – it’s just afflicting a great many species more than ours.

I am referring to the highly pathogenic strain of avian influenza H5N1 (HPAI H5N1), otherwise known as bird flu, which has killed millions of birds and unknown numbers of mammals, particularly during the past three years.

This is the strain that emerged in domestic geese in China in 1997 and quickly jumped to humans in south-east Asia with a mortality rate of around 40-50%. My research group encountered the virus when it killed a mammal, an endangered Owston’s palm civet, in a captive breeding programme in Cuc Phuong National Park Vietnam in 2005.

How these animals caught bird flu was never confirmed. Their diet is mainly earthworms, so they had not been infected by eating diseased poultry like many captive tigers in the region.

This discovery prompted us to collate all confirmed reports of fatal infection with bird flu to assess just how broad a threat to wildlife this virus might pose.

This is how a newly discovered virus in Chinese poultry came to threaten so much of the world’s biodiversity.

H5N1 originated on a Chinese poultry farm in 1997. ChameleonsEye/Shutterstock

The first signs

Until December 2005, most confirmed infections had been found in a few zoos and rescue centres in Thailand and Cambodia. Our analysis in 2006 showed that nearly half (48%) of all the different groups of birds (known to taxonomists as “orders”) contained a species in which a fatal infection of bird flu had been reported. These 13 orders comprised 84% of all bird species.

We reasoned 20 years ago that the strains of H5N1 circulating were probably highly pathogenic to all bird orders. We also showed that the list of confirmed infected species included those that were globally threatened and that important habitats, such as Vietnam’s Mekong delta, lay close to reported poultry outbreaks.

Mammals known to be susceptible to bird flu during the early 2000s included primates, rodents, pigs and rabbits. Large carnivores such as Bengal tigers and clouded leopards were reported to have been killed, as well as domestic cats.

Our 2006 paper showed the ease with which this virus crossed species barriers and suggested it might one day produce a pandemic-scale threat to global biodiversity.

Unfortunately, our warnings were correct.

A roving sickness

Two decades on, bird flu is killing species from the high Arctic to mainland Antarctica.

In the past couple of years, bird flu has spread rapidly across Europe and infiltrated North and South America, killing millions of poultry and a variety of bird and mammal species. A recent paper found that 26 countries have reported at least 48 mammal species that have died from the virus since 2020, when the latest increase in reported infections started.

Not even the ocean is safe. Since 2020, 13 species of aquatic mammal have succumbed, including American sea lions, porpoises and dolphins, often dying in their thousands in South America. A wide range of scavenging and predatory mammals that live on land are now also confirmed to be susceptible, including mountain lions, lynx, brown, black and polar bears.

The UK alone has lost over 75% of its great skuas and seen a 25% decline in northern gannets. Recent declines in sandwich terns (35%) and common terns (42%) were also largely driven by the virus.

Scientists haven’t managed to completely sequence the virus in all affected species. Research and continuous surveillance could tell us how adaptable it ultimately becomes, and whether it can jump to even more species. We know it can already infect humans – one or more genetic mutations may make it more infectious.

At the crossroads

Between January 1 2003 and December 21 2023, 882 cases of human infection with the H5N1 virus were reported from 23 countries, of which 461 (52%) were fatal.

Of these fatal cases, more than half were in Vietnam, China, Cambodia and Laos. Poultry-to-human infections were first recorded in Cambodia in December 2003. Intermittent cases were reported until 2014, followed by a gap until 2023, yielding 41 deaths from 64 cases. The subtype of H5N1 virus responsible has been detected in poultry in Cambodia since 2014. In the early 2000s, the H5N1 virus circulating had a high human mortality rate, so it is worrying that we are now starting to see people dying after contact with poultry again.

It’s not just H5 subtypes of bird flu that concern humans. The H10N1 virus was originally isolated from wild birds in South Korea, but has also been reported in samples from China and Mongolia.

Recent research found that these particular virus subtypes may be able to jump to humans after they were found to be pathogenic in laboratory mice and ferrets. The first person who was confirmed to be infected with H10N5 died in China on January 27 2024, but this patient was also suffering from seasonal flu (H3N2). They had been exposed to live poultry which also tested positive for H10N5.

Species already threatened with extinction are among those which have died due to bird flu in the past three years. The first deaths from the virus in mainland Antarctica have just been confirmed in skuas, highlighting a looming threat to penguin colonies whose eggs and chicks skuas prey on. Humboldt penguins have already been killed by the virus in Chile.

A colony of king penguins.
Remote penguin colonies are already threatened by climate change. AndreAnita/Shutterstock

How can we stem this tsunami of H5N1 and other avian influenzas? Completely overhaul poultry production on a global scale. Make farms self-sufficient in rearing eggs and chicks instead of exporting them internationally. The trend towards megafarms containing over a million birds must be stopped in its tracks.

To prevent the worst outcomes for this virus, we must revisit its primary source: the incubator of intensive poultry farms.

Diana Bell does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

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