Since Alexa is now programed to be compliant with HIPAA privacy rules, it’s likely similar voice assistance technologies will soon become available in US healthcare as well
Shortages of physicians and other types of caregivers—including
histopathologists
and pathology
laboratory workers—in the United Kingdom (UK) has the UK’s National Health Service (NHS) seeking alternate
ways to get patients needed health and medical information. This has prompted a
partnership with Amazon to use the Alexa virtual assistant to
answer patients healthcare inquiries.
Here in the United States, pathologists and clinical
laboratory executives should take the time to understand this development.
The fact that the NHS is willing to use a device like Alexa to help it maintain
access to services expected by patients in the United Kingdom shows how rapidly
the concept of “virtual clinical care” is moving to become mainstream.
If the NHS can make it work in a health system serving 66-million
people, it can be expected that health insurers, hospitals, and physicians in
the United States will follow that example and deploy similar virtual health
services to their patients.
For these reasons, all clinical laboratories and anatomic
pathology groups will want to develop a strategy as to how their
organizations will interact with virtual health services and how their labs
will want to deploy similar virtual patient information services.
Critical Shortages in Healthcare Services
While virtual assistants have
been answering commonly-asked health questions by mining popular responses on
the Internet for some time, this new agreement allows Alexa to provide
government-endorsed medical advice drawn from the NHS website.
By doing this, the NHS hopes to reduce the burden on
healthcare workers by making it easier for UK patients to access health
information and receive answers to commonly-asked health questions directly from
their homes, GeekWire
reported.
“The public needs to be able to get reliable information
about their health easily and in ways they actually use. By working closely
with Amazon and other tech companies, big and small, we can ensure that the
millions of users looking for health information every day can get simple,
validated advice at the touch of a button or voice command,” Matthew Gould, CEO of NHSX, a division of the NHS that focuses
on digital initiatives, told GeekWire.
The
Verge reported that when the British government officially announced
the partnership in a July press
release, the sample questions that Alexa could answer included:
Alexa, how do I treat a migraine?
Alexa, what are the symptoms of the flu?
Alexa, what are the symptoms of chickenpox?
“We want to empower every patient to take better control of
their healthcare and technology like this is a great example of how people can
access reliable, world-leading NHS advice from the comfort of their home,
reducing the pressure on our hardworking GPs (General Practitioners) and
pharmacists,” said Matt
Hancock, Secretary of State for Health and Social Care, in the press release.
MD
Connect notes that the NHS provides healthcare services free of charge to
more than 66-million individuals residing in the UK. With 1.2 million
employees, the NHS is the largest employer in Europe, according to The
Economist. That article also stated that the biggest problem facing the
NHS is a staff shortage, citing research conducted by three independent
organizations:
Their findings indicate “that NHS hospitals, mental-health
providers, and community services have 100,000 vacancies, and that there are
another 110,000 gaps in adult social care. If things stay on their current
trajectory, the think-tanks predict that there will be 250,000 NHS vacancies in
a decade,” The Economist reported.
“This idea is certainly interesting and it has the potential
to help some patients work out what kind of care they need before considering
whether to seek face-to-face medical help, especially for minor ailments that
rarely need a GP appointment, such as coughs and colds that can be safely
treated at home,” Professor
Helen Stokes-Lampard, Chairman at the Royal
College of General Practitioners, and Chair of the Board Of
Directors/Trustees at National
Academy of Social Prescribing, told Sky News.
“However,” she continued, “it is vital that independent
research is done to ensure that the advice given is safe, otherwise it could
prevent people seeking proper medical help and create even more pressure on our
overstretched GP service.”
Amazon has assured consumers that all data obtained by Alexa
through the NHS partnership will be encrypted to ensure privacy and security,
MD Connect notes. Amazon also promised that the personal information will not
be shared or sold to third parties.
Alexa Now HIPAA Compliant in the US
This new agreement with the UK follows the announcement in April
of a new Alexa
Skills Kit that “enables select Covered Entities and their Business
Associates, subject to the US Health
Insurance Portability and Accountability Act of 1996 (HIPAA), to build
Alexa skills that transmit and receive protected
health information (PHI) as part of an invite-only program. Six new Alexa
healthcare skills from industry-leading healthcare providers, payors, pharmacy
benefit managers, and digital health coaching companies are now operating in
our HIPAA-eligible environment.”
Developers of voice assistance technologies can freely use
these Alexa skills, which are “designed to help customers manage a variety of
healthcare needs at home simply using voice—whether it’s booking a medical
appointment, accessing hospital post-discharge instructions, checking on the
status of a prescription delivery, and more,” an Amazon
Developer Alexa blog states.
The blog lists the HIPAA-compliant Alexa skills as:
Express
Scripts: Members can check the status of a home delivery prescription and can
request Alexa notifications when their prescription orders are shipped.
Cigna
Health Today by Cigna (NYSE:CI): Eligible employees with one of Cigna’s
large national accounts can now manage their health improvement goals and
increase opportunities for earning personalized wellness incentives.
Swedish
Health Connect by Providence St.
Joseph Health, a healthcare system with 51 hospitals across seven states
and 829 clinics: Customers can find an urgent care center near them and
schedule a same-day appointment.
Atrium
Health, a healthcare system with more than 40 hospitals and 900 care
locations throughout North and South Carolina and Georgia: Customers in North
and South Carolina can find an urgent care location near them and schedule a
same-day appointment.
Livongo,
a digital health company that creates new and different experiences for people
with chronic conditions: Members can query their last blood sugar reading,
blood sugar measurement trends, and receive insights and Health Nudges that are
personalized to them.
HIPAA Journal notes: “This is not the first time that Alexa skills have been developed, but a stumbling block has been the requirements of HIPAA Privacy Rules, which limit the use of voice technology with protected health information. Now, thanks to HIPAA compliant data transfers, the voice assistant can be used by a select group of healthcare organizations to communicate PHI without violating the HIPAA Privacy Rule.”
Steady increases associated with the costs of medical care
combined with a shortage of healthcare professionals on both continents are
driving trends that motivate government health programs and providers to
experiment with non-traditional ways to interact with patients.
New digital and Artificial
Intelligence (AI) tools like Alexa may continue to emerge as methods for
providing care—including clinical laboratory and pathology advice—to healthcare
consumers.
Low prices to encourage consumers to order its WGS service is one way Veritas co-founder and genetics pioneer George Church hopes to sequence 150,000 genomes by 2021
By announcing an annotated whole-genome sequencing (WGS) service to consumers for just $599, Veritas Genetics is establishing a new price benchmark for medical laboratories and gene testing companies. Prior to this announcement in July, Veritas priced its standard myGenome service at $999.
“There is no more comprehensive genetic test than your whole genome,” Rodrigo Martinez, Veritas’ Chief Marketing and Design Officer, told CNBC. “So, this is a clear signal that the whole genome is basically going to replace all other genetic tests. And this [price drop] gets it closer and closer and closer.”
Pathologists and clinical laboratory managers will want to watch to see if Veritas’ low-priced, $599 whole-genome sequencing becomes a pricing standard for the genetic testing industry. Meanwhile, the new price includes not only the sequencing, but also an expert analysis of test results that includes information on more than 200 conditions, Veritas says.
“The focus in our industry is shifting from the cost of sequencing genomes to interpretation capabilities and that’s where our secret sauce is,” said Veritas CEO Mirza Cifric in a news release. “We’ve built and deployed a world class platform to deliver clinically-actionable insights at scale.” The company also says it “achieved this milestone primarily by deploying internally-developed machine learning and AI [artificial intelligence] tools as well as external tools—including Google’s DeepVariant—and by improving its in-house lab operations.”
The myGenome service offers 30x WGS, which Veritas touts in company documentation as the “gold standard” for sequencing, compared to the less-precise 0.4x WGS.
The myGenome service is available only in the United States.
Will Whole-Genome Sequencing Replace Other Genetic Tests?
Veritas was co-founded by George Church, PhD, a pioneer of personal genomics through his involvement with the Harvard Personal Genome Project at Harvard Medical School. In a press release announcing the launch of myGenome in 2016, Veritas described its system as “the world’s first whole genome for less than $1,000, including interpretation and genetic counseling.”
Church predicts that WGS will someday replace other genetic tests, such as the genotyping used by personal genomics and biotechnology company 23andMe.
“Companies like 23andMe that are based on genotyping technology basically opened the market over the last decade,” Martinez explained in an interview with WTF Health. “They’ve done an incredible job of getting awareness in the general population.”
However, he goes on to say, “In genotyping technology, you
are looking at very specific points of the genome, less than half of one
percent, a very small amount.”
Martinez says Veritas is sequencing all 6.4 billion letters
of the genome. And, with the new price point, “we’re closer to realizing that
seismic shift,” he said in the news release.
“This is the inflection point,” Martinez told CNBC.
“This is the point where the curve turns upward. You reach a critical mass when
you are able to provide a product that gives value at a specific price point.
This is the beginning of that. That’s why it’s seismic.”
Payment Models Not Yet Established by Government, Private
Payers
However, tying WGS into personalized medicine that leads to actionable diagnoses may not be easy. Robin Bennett, PhD (hon.), a board certified senior genetic counselor and Professor of Medicine and Medical Genetics at UW School of Medicine, told CNBC, “[Healthcare] may be moving in that direction, but the payment for testing and for services, it hasn’t moved in the preventive direction. So, unless the healthcare system changes, these tests may not be as useful because … the healthcare system hasn’t caught up to say, ‘Yes, we support payment for this.’”
“Insurers are looking for things where, if you get the
information, there’s something you can do with it and that both the provider
and the patient are willing and able to use that information to do things that
improve their health,” Phillips told CNBC. “Insurers are very interested
in using genetic testing for prevention, but we need to . . . demonstrate that
the information will be used and that it’s a good trade-off between the
benefits and the costs.”
Sequencing for Free If You Share Your Data
Church may have an answer for that as well—get biopharmaceutical companies to foot the bill. Though Veritas’ new price for their myGenome service is significantly lower than before, it’s not free. That’s what Nebula Genomics, a start-up genetics company in Massachusetts co-founded by Church, offers people willing to share the data derived from their sequencing. To help biomedical researchers gather data for their studies, Nebula provides free or partially-paid-for whole-genome sequencing to qualified candidates.
“Nebula will enable individuals to get sequenced at much
lower cost through sequencing subsidies paid by the biopharma industry,” Church
told BioSpace.
“We need to bring the costs of personal genome sequencing close to zero to
achieve mass adoption.”
So, will lower-priced whole-genome sequencing catch on?
Perhaps. It’s certainly popular with everyday people who want to learn their
ancestry or predisposition to certain diseases. How it will ultimately affect
clinical laboratories and pathologists remains to be seen, but one thing is
certain—WGS is here to stay.
As demand rises, Canadian clinical laboratories must learn to juggle test systems automation, funding challenges, and staffing shortages
Canada’s clinical laboratories are deeply affected by many of the trends impacting the Canadian healthcare system overall. Deployment of new technologies, such as test automation and artificial intelligence (AI) for example, are forcing Canadian labs to adapt during times of changing demographics and funding pressures.
Thus, the Canadian Diagnostic Executive Forum (CDEF), which takes place October 24-25 at the Westin Harbour Castle Hotel in Toronto, will provide an opportunity for clinical laboratory leaders to learn how to leverage technology and create positive change in their medical laboratory operations.
Change Management and Clinical Laboratory Leaders
The development of disruptive new technologies is becoming the norm and the laboratory’s role in healthcare delivery is growing. That’s why change management has become a focus of clinical laboratory leaders.
Sheila Woodcock, Convenor, WG 1 Quality and Competence in the Medical Laboratory at ISO/TC 212, and President and Principal Consultant at QSE Consulting Inc., Nova Scotia, Canada, says “allocation of resources” is a challenge for senior diagnostic executives juggling financial, technology, and staffing decisions.
In an exclusive interview with Dark Daily, Woodcock
said, “The number one lab challenge today is not having enough money; second is
not having enough people. Because if you don’t have enough money, even if there
are people out there, you can’t hire them. Money, people, and trying to keep up
with all the technological innovations bombarding us nowadays are the main
reasons to make changes.”
From deployment of digital pathology services and point-of-care (POC) testing to the introduction of automation and AI, innovation is happening at a rapid pace. It may or may not increase medical laboratory efficiency or support precision medicine, but it definitely alters laboratory infrastructure.
“Change is nearly constant in the clinical laboratory and
the healthcare network worlds, and there are many complexities that go with
that,” Woodcock said. “With the implementation of new technologies, and the
rapidly advancing world of automation in clinical laboratories that have never before
been automated, how do we ensure that when we automate new technology it
doesn’t negatively impact the quality of the testing process?”
Disruptive Changes are Redefining Clinical Laboratories
As Clinical Lab Products (CLP) points out, medical laboratories have become a reservoir of data that can “guide fact-based decisions to improve operational, financial, and clinical performance throughout their institutions.” As a result, clinical laboratories are increasingly shedding their “traditional and narrowly defined roles” in which “physicians order tests and labs report results.”
Emerging technologies also are ushering change outside of the medical laboratory. Drones soon may routinely transport patient specimens across healthcare networks. Dark Daily has reported on several new drone transport systems under development around the globe. One such system in the US involves UPS, the FAA, and WakeMed. Such high-tech specimen tracking and delivery systems could lead to fewer spoiled samples and possibly save lives, and clinical laboratories are at the heart of these innovations.
Kevin D. Orr, Senior Director, Hospital Business at In-Common Laboratories, believes technology may help laboratories overcome one major issue—a growing demand for testing services at a time when the laboratory workforce is shrinking, and provincial and territorial global funding is not keeping pace with diagnostic utilization rates. Orr points to digital pathology as an example of a technology that may enable labs to “do more with less” in terms of both funding and staffing.
“As people get older, there’s more demand for healthcare
services and because of that more clinical laboratory testing has to be done,”
Orr told Dark Daily. “The peak of the Baby Boomers is starting to get
sick now. We need to focus on innovations and technologies clinical
laboratories are employing to address the overarching issue of doing more with
less.”
How Clinical Laboratories Should Demonstrate Value
Woodcock, however, maintains that clinical laboratories also
need to do a better job of lobbying for funding, so they have the money needed
to implement new technologies.
“Traditionally, when labs are told they have cutbacks, they
do their utmost to work within what they have been assigned. But other
departments might be jumping up and down, getting more attention, and getting
more funding,” she said. “One of the things lab people have to learn—and are
getting better at as time goes on—is giving the lab a voice and making known
the contributions the lab makes to diagnosis and treatment of patients in a
facility.”
The Canadian Diagnostic Executive Forum on October 24-25 at
the Westin Harbour Castle Hotel in Toronto provides such an opportunity for
laboratory leaders to learn how to leverage technology to create positive
change in lab operations.
“We want to inspire people,” Orr told Dark Daily. “We
want people to leave this conference excited about what diagnostics is doing
and where it’s headed and what other people are doing. We want to show them the
bright light at the end of the tunnel, because sometimes when you’re dealing
with the negative aspects of no money or no staff or no this or that, it gets
pretty awful. We want to breathe some life and show them the rainbow and that the
light at the end of the tunnel could be just around the corner.”
The CDEF conference will be hosted by In-Common Laboratories, in conjunction with The Dark Report, Dark Daily’s sister publication. This two-day event will be packed with thought-provoking sessions on digital pathology, next-generation technology, precision medicine, blockchain, sample tracking, and artificial intelligence, as well as updates from across Canada on the latest innovations and technologies being implemented in medical laboratories.
Study suggests AI-enabled technology can help clinical laboratories and hospital blood banks save thousands of dollars annually on expensive blood products
Artificial intelligence may prove to be a useful tool in helping hospitals better manage utilization of blood products. That’s one conclusion from a newly-published study done at New York’s Icahn School of Medicine at Mount Sinai. If so, this is a technology improvement that would be welcomed by blood bankers and clinical laboratory managers who must manage the cost and utilization of blood products.
There’s no way around it—blood is expensive. A typical 400- to 600-bed hospital likely budgets upwards of one million dollars annually just for blood products. Almost universally, in hospitals the medical laboratory manages the blood bank. This is where medical technologists trained in blood banking test patients and test blood to ensure whole blood units, or other blood products such as platelets, match and will not trigger a negative reaction when administered to the patient.
When left unmanaged, the cost and utilization of blood bank
products can put the budgets of hospital medical laboratories in the red. Hospitals
also invest a great deal of money training surgeons to accurately assess the
procedure and order the correct amount of blood components prior to surgery.
Therefore, new artificial intelligence (AI) technology that helps pinpoint patients’ blood loss during childbirth will be of interest to blood bankers and hospital laboratory administrators.
Can AI Help Clinical Labs Improve Utilization of Blood Products
in Hospitals?
Physicians at the Icahn School of Medicine at Mount Sinai recently investigated whether “Quantifying blood loss” would improve the use of blood during human childbirth. They published the results of their study in the International Journal of Obstetric Anesthesia.
Their research into 7,618 deliveries (vaginal and cesarean) involved “An observational study comparing blood loss, management, and outcomes between two historical cohorts (August 2016 to January 2017 and August 2017 to January 2018) at an academic tertiary care center. Patients in the intervention group (second period) had blood loss quantified compared with visual estimation for controls,” the research paper notes.
The researchers concluded that “Quantifying blood loss may
result in increased vigilance for vaginal and cesarean delivery. We identified
an association between quantifying blood loss and improved identification of
postpartum hemorrhage, patient management steps, and cost savings.”
The researchers, according to a press release, employed the Triton AI-enabled platform from Gauss Surgical, a silicon valley-based health technology company, to “monitor blood loss in all deliveries (vaginal and cesarean, n=3807) at Mount Sinai Hospital from August 2017 through January 2018 to support the institution’s stage-based hemorrhage protocol.”
The researchers found that use of a monitoring system was
associated with earlier postpartum hemorrhage
intervention and annual cost savings of $172,614 in lab costs and $36,614 in blood
bank costs.
Measuring Blood Loss: The Eye versus AI
Gauss has secured Food and Drug Administration (FDA) clearance for Triton and more than 50 US hospitals are using it. Triton provides, in real-time, images of blood-saturated surgical sponges and canisters and uses computer vision and machine learning to pinpoint blood loss, reported MD+DI.
Traditionally, physicians visually estimate blood loss
during procedures. When they are off in their estimates of postpartum
hemorrhage, harmful postpartum health complications and deaths can occur, the
Mount Sinai researchers explained in their paper.
And although other vital signs—heart rate, rhythm, blood
pressure, oxygen level, etc.— are monitored with equipment in the surgical
suite, blood usage is not.
“Blood loss in surgery has been an enigma for decades since the dawn of medicine,” Siddarth Satish, Founder and Chief Executive Officer of Gauss, told MD+DI. “We monitor many other vital signs in surgery, but ultimately there hasn’t been any direct indicator of a patient’s hemoglobin loss.”
Bleeding Better Recognized, Less Blood Transfusions
After the Mount Sinai researchers used the Triton system to
monitor blood loss during 3,807 vaginal and cesarean deliveries from August
2017 to January 2018 at Mount Sinai Hospital, they compared their findings to
3,811 deliveries from August 2016 to January 2017, during which doctors relied
solely on visual estimation of blood loss.
The study found the following, according to the news
release:
Improved hemorrhage recognition in vaginal deliveries of 2.2% and cesarean sections of 12.6% compared to .5% and 6.4%, respectively;
Less blood transfusions needed (vaginal patients): 47% with Triton compared to 71%;
Reduced blood transfusion dose (cesarean section): 1.90 units with Triton compared to 2.52 units;
Cost savings: $209,228 a year (the total of aforementioned lab and blood bank costs).
“What we like about [Gauss] is that it somewhat embodies precision medicine in the sense that you’re using more precise tools of measurement in their first use case,” Garrett Vygantas, MD, MBA, Managing Director for OSF Ventures, the financing arm of OSF Healthcare, who also serves on Gauss Surgical’s board, told MD+DI.
Possible New Resource for Hospital Medical Laboratories
So, will AI quickly become an omnipresent overseer in surgical suites? Hardly. However, AI is in the early stages of finding places in healthcare where it can be useful. “A lot of people are predicting that AI will play a huge role in healthcare … I think it’ll be ever-present. There will be a little bit of AI in everything you’re doing, but I think the actual practice of medicine in its truest form is going to carry forward,” Satish told Fierce Healthcare.
Hospital medical laboratories and blood blanks looking for
new tools to manage blood use may want to look into AI-enabled systems like
Triton. Saving money is not the only benefit. Less transfused blood is better
for patient care as well.
Using animal blood, the researchers hope to improve the accuracy of AI driven diagnostic technology
What does a cheetah, a tortoise, and a Humboldt penguin have
in common? They are zoo animals helping scientists at Saarland University in
Saarbrücken, Germany, find biomarkers that can help computer-assisted diagnoses
of diseases in humans at early stages. And they are not the only animals
lending a paw or claw.
In their initial research, the scientists used blood samples
that had been collected during routine examinations of 21 zoo animals between
2016 and 2018, said a news
release. The team of bioinformatics
and human genetics experts
worked with German zoos Saarbrücken and Neunkircher for the study. The project
progresses, and thus far, they’ve studied the blood of 40 zoo animals, the
release states.
This research work may eventually add useful biomarkers and
assays that clinical
laboratories can use to support physicians as they diagnose patients,
select appropriate therapies, and monitor the progress of their patients. As medical
laboratory scientists know, for many decades, the animal kingdom has been
the source of useful insights and biological materials that have been
incorporated into laboratory assays.
“Measuring the molecular blood profiles of animals has never
been done before this way,” said Andreas
Keller, PhD, Saarland University Bioinformatics Professor and Chair for
Clinical Bioinformatics, in the news release. The Saarland researchers published
their findings in Nucleic Acids
Research, an Oxford
Academic journal.
“Studies on sncRNAs [small non-coding RNAs] are often largely based on homology-based information, relying on genomic sequence similarity and excluding actual expression data. To obtain information on sncRNA expression (including miRNAs, snoRNAs, YRNAs and tRNAs), we performed low-input-volume next-generation sequencing of 500 pg of RNA from 21 animals at two German zoological gardens,” the article states.
Can Animals Improve the Accuracy of AI to Detect Disease
in Humans?
However, the researchers perceived an inability for AI and machine learning to
discern real biomarker patterns from those that just seemed to fit.
“The machine learning methods recognize the typical
patterns, for example for a lung tumor or Alzheimer’s disease. However, it is
difficult for artificial intelligence to learn which biomarker patterns are
real and which only seem to fit the respective clinical picture. This is where
the blood samples of the animals come into play,” Keller states in the news
release.
“If a biomarker is evolutionarily conserved, i.e. also
occurs in other species in similar form and function, it is much more likely
that it is a resilient biomarker,” Keller explained. “The new findings are now
being incorporated into our computer models and will help us to identify the
correct biomarkers even more precisely in the future.”
“Because blood can be obtained in a standardized manner and
miRNA expression patterns are technically very stable, it is easy to accurately
compare expression between different animal species. In particular, dried blood
spots or microsampling devices appear to be well suited as containers for
miRNAs,” the researchers wrote in Nucleic Acids Research.
Animal species that participated in the study include:
Additionally, human volunteers contributed blood specimens
for a total of 19 species studied. The scientists reported success in capturing
data from all of the species. They are integrating the information into their
computer models and have developed a public database of their
findings for future research.
“With our study, we provide a large collection of small RNA
NGS expression data of species that have not been analyzed before in great
detail. We created a comprehensive publicly available online resource for
researchers in the field to facilitate the assessment of evolutionarily
conserved small RNA sequences,” the researchers wrote in their paper.
Clinical Laboratory Research and Zoos: A Future
Partnership?
This novel involvement of zoo animals in research aimed at improving
the ability of AI driven diagnostics to isolate and identify human disease is
notable and worth watching. It is obviously pioneering work and needs much
additional research. At the same time, these findings give evidence that there
is useful information to be extracted from a wide range of unlikely sources—in
this case, zoo animals.
Also, the use of artificial intelligence to search for
useful patterns in the data is a notable part of what these researchers
discovered. It is also notable that this research is focused on sequencing DNA
and RNA of the animals involved with the goal of identifying sequences that are
common across several species, thus demonstrating the common, important
functions they serve.
In coming years, those clinical laboratories doing genetic
testing in support of patient care may be incorporating some of this research
group’s findings into their interpretation of certain gene sequences.