Panel of experts in healthcare and the clinical laboratory market identify key trends and discuss how innovative medical laboratories are adding value—and getting paid for that value
Effective clinical laboratory leadership in today’s value-based healthcare system means demonstrating value within an integrated delivery network. After all, as fee-for-service payment for clinical lab tests gives way to value-added reimbursement arrangements, all medical laboratories will need to justify their share of a value-based payment.
But how can clinical
laboratories alert physicians and their parent hospitals to the real value they
offer to improve patient outcomes and reduce healthcare costs? Though lab leaders
may understand their medical lab’s complexity, accessibility, and impact, the
question is how to direct the effort. The answer lies in a risk that some laboratory
directors may not have considered.
Value-based healthcare systems include hospital-based medical laboratories as an essential part of their integrated health system. And, to lower the cost of care, healthcare systems involved in value-based care know they must become better at coordinating care and offering precision medicine services to their patients.
Year-by-year, more integrated health systems are learning how to eliminate gaps in care and become more proactive in delivering care that helps keep patients healthy. However, the task of leveraging the clinical laboratory in a strategic approach to demonstrating value in those health systems remains daunting. One of the goals of the Clinical Lab 2.0 model developed by the Project Santa Fe Foundation clinical laboratory organization is to demonstrate how labs can achieve two goals:
Create added-value services that improve patient care; and
Have health insurers, accountable care organizations (ACOs), and health networks pay remuneration to the clinical labs for those added-value services.
Pathologists,
Clinical Chemists, and MTs Leave Thy Medical Labs
Expert panelists of a recent webinar hosted by Dark Daily and sponsored by Sunquest Information Systems suggested ways that clinical laboratories could better position themselves to be an asset for their organizations. One way to do this is to get their clinical pathologists, PhDs, and medical technologists out of the lab and engaged with physicians, nurses, and other clinical staff in specific ways that influence the healthcare organization’s overall performance in delivering better patient outcomes at less cost.
“Our labs have
to be equal partners instead of recipients of where things are going,” he stressed.
“We need to be, if not in the driver’s seat, at least in the front seat.”
Fundamental
Changes That Will Impact All Clinical Laboratories
The panel
speakers discussed how clinical laboratories can strategically position
themselves to be successful in today’s evolving healthcare industry. They
predicted several fundamental changes would take place or continue. These
changes include:
A
continued shift away from pure fee-for-service payment (volume) to value-based
reimbursement that rewards improved patient outcomes;
More
discussion regarding prevention of illnesses, chronic diseases, and personal
responsibility;
More
focus on primary care and proactive care;
Rapid
advances in science and technology that will spark development of new healthcare
applications;
Continued
trend toward consumerism, as more patients pay a larger portion of their
healthcare expenses and shop for hospitals, doctors, and labs; and
Intense
cost pressure on healthcare organizations and their medical laboratories.
It was noted
during the panel discussion that, even as the US spends more than any other
country in the world on healthcare, it has some of the worst overall outcomes.
Customers Rapidly
Becoming Stakeholders
“I always think in terms of stakeholders and the number one
stakeholder for any clinical laboratory or healthcare system is always the
customer,” said Peters. “The lab’s customer is the ordering physician. So, it’s
important that labs ‘speak their language’ and understand that the physician’s
customer is the patient.”
Clinical laboratories also must be aware of what a
particular healthcare system is trying to accomplish. “Lab leaders should stay
in constant touch with where the market is, where the system is, and where
reform is,” said Oravetz. “And realize there are things that can be done today
to set up for what’s coming tomorrow.”
Terese said that
for a clinical laboratory to survive during this rapid transformation of
the US healthcare system—or at least continue to thrive—it needs to engage with
the strategic and clinical initiatives guiding every health system around the
country. “There is tremendous opportunity for clinical laboratories to not only
support that transition, but to actually help drive it,” he said. “There’s
nothing wrong with thinking of your medical laboratory as a leader of these
initiatives, versus just as a follower of what the organization is doing.”
Key elements of
the webinar that will be of interest to clinical laboratories include:
Examples
of clinical laboratories navigating the transition from volume to value-based
care;
Discussion
and update on fundamental changes coming to the US healthcare industry that
impact clinical laboratories;
The
case for demonstrating the value of clinical labs to healthcare organizations;
and
Eight
ways to elevate the value of clinical labs within an integrated healthcare network.
The experts on this special discussion panel agree that US
healthcare and the clinical laboratory marketplace is in a time of transition.
Pathologists and medical laboratory scientists have an opportunity to position
themselves as leaders and changemakers to the benefit of patients, as well as their
parent hospitals and health networks.
This free webinar can be a critical tool for leadership
training within every clinical laboratory. It can be used to give lab managers
and lab staff fresh insights into the changes happening in healthcare. Insights
that can guide strategic planning and inspire laboratory-led projects to
collaborate with physicians and improve patient care.
Download this webinar for free by clicking here. (Or, copy and paste this URL into your browser: https://darkintelligenceprogramsondemand.uscreen.io/programs/listen-learn-lead-uncover-ways-you-can-position-your-lab-as-a-strategic-pillar-of-the-healthcare-organization.)
First used to track cryptocurrencies such as Bitcoin, blockchain is finding its way into tracking and quality control systems in healthcare, including clinical laboratories and big pharma
Four companies were selected by the US Food and Drug Administration (FDA) to participate in a pilot program that will utilize blockchain technology to create a real-time monitoring network for pharmaceutical products. The companies selected by the FDA include: IBM (NYSE:IBM), Merck (NYSE:MRK), Walmart (NYSE:WMT), and KPMG, an international accounting firm. Each company will bring its own distinct expertise to the venture.
This important project to utilize blockchain technologies in
the pharmaceutical distribution chain is another example of prominent
healthcare organizations looking to benefit from blockchain technology.
Clinical laboratories and health insurers also are collaborating on blockchain projects. A recent intelligence briefing from The Dark Report, the sister publication of Dark Daily, describes collaborations between multiple health insurers and Quest Diagnostics to improve their provider directories using blockchain. (See, “Four Insurers, Quest Developing Blockchain,” July 1, 2019.)
Improving Traceability and Security in Healthcare
Blockchain continues to intrigue federal officials, health network administrators, and health information technology (HIT) developers looking for ways to accurately and efficiently track inventory, improve information access and retrieval, and increase the accuracy of collected and stored patient data.
In the FDA’s February press release announcing the pilot program, Scott Gottlieb, MD, who resigned as the FDA’s Commissioner in April, stated, “We’re invested in exploring new ways to improve traceability, in some cases using the same technologies that can enhance drug supply chain security, like the use of blockchain.”
Congress created this latest program, which is part of the federal US Drug Supply Chain Security Act (DSCSA) enacted in 2013, to identify and track certain prescription medications as they are disseminated nationwide. However, once fully tested, similar blockchain systems could be employed in all aspects of healthcare, including clinical laboratories, where critical supplies, fragile specimens, timing, and quality control are all present.
The FDA hopes the electronic framework being tested during
the pilot will help protect consumers from counterfeit, stolen, contaminated, or
harmful drugs, as well as:
reduce the time needed to track and trace
product inventory;
enable timely retrieval of accurate distribution
information;
increase the accuracy of data shared among the
network members; and
help maintain the integrity of products in the
distribution chain, including ensuring products are stored at the correct
temperature.
Companies in the FDA’s Blockchain Pilot
IBM, a leading blockchain provider, will serve as the
technology partner on the project. The tech giant has implemented and provided
blockchain applications to clients for years. Its cloud-based platform provides
customers with end-to-end capabilities that enable them to develop, maintain,
and secure their networks.
“Blockchain could provide an important new approach to further improving trust in the biopharmaceutical supply chain,” said Mark Treshock, Global Blockchain Solutions Leader for Healthcare and Life Sciences at IBM, in a news release. “We believe this is an ideal use for the technology because it can not only provide an audit trail that tracks drugs within the supply chain; it can track who has shared data and with whom, without revealing the data itself. Blockchain has the potential to transform how pharmaceutical data is controlled, managed, shared and acted upon throughout the lifetime history of a drug.”
Merck, known as MSD outside of the US and Canada, is
a global pharmaceutical company that researches and develops medications and
vaccines for both human and animal diseases. Merck delivers health solutions to
customers in more than 140 countries across the globe.
“Our supply chain strategy, planning and logistics are built around the customers and patients we serve,” said Craig Kennedy, Senior Vice President, Global Supply Chain Management at Merck, in the IBM news release. “Reliable and verifiable supply helps improve confidence among all the stakeholders—especially patients—while also strengthening the foundation of our business.”
Kennedy added that transparency is one of Merck’s primary
goals in participating in this blockchain project. “If you evaluate today’s
pharmaceutical supply chain system in the US, it’s really a series of handoffs
that are opaque to each other and owned by an individual party,” he said,
adding, “There is no transparency that provides end-to-end capabilities. This
hampers the ability for tracking and tracing within the supply chain.”
Walmart, the world’s largest company by revenue, will
be distributing drugs through their pharmacies and care clinics for the
project. Walmart has successfully experimented using blockchain technology with
other products. It hopes this new collaboration will benefit their customers,
as well.
“With successful blockchain pilots in pork, mangoes, and leafy greens that provide enhanced traceability, we are looking forward to the same success and transparency in the biopharmaceutical supply chain,” said Karim Bennis, Vice President of Strategic Planning of Health and Wellness at Walmart, in the IBM news release. “We believe we have to go further than offering great products that help our customers live better at everyday low prices. Our customers also need to know they can trust us to help ensure products are safe. This pilot, and US Drug Supply Chain Security Act requirements, will help us do just that.”
KPMG, a multi-national professional services network
based in the Netherlands, will be providing knowledge regarding compliance
issues to the venture.
“Blockchain’s innate ability within a private, permissioned
network to provide an ‘immutable record’ makes it a logical tool to deploy to
help address DSCSA compliance requirements,” said Arun Ghosh, US Blockchain
Leader at KPMG, in the IBM news release. “The ability to leverage existing
cloud infrastructure is making enterprise blockchain increasingly affordable
and adaptable, helping drug manufacturers, distributors, and dispensers meet
their patient safety and supply chain integrity goals.”
The FDA’s blockchain project is scheduled to be completed in
the fourth quarter of 2019, with the end results being published in a DSCSA
report. The participating organizations will evaluate the need for and plan any
future steps at that time.
Blockchain is a new and relatively untested technology
within the healthcare industry. However, projects like those supported by the
FDA may bring this technology to the forefront for healthcare organizations,
including clinical laboratories and pathology groups. Once proven, blockchain
technology could have significant benefits for patient data accuracy and
security.
Clinical laboratories and microbiologists will want to be on the alert for this deadly infectious agent that has killed patients through blood infections
Healthcare continues to struggle with the issue of how much to disclose to the public when new and deadly infectious agents are identified in a limited number of patients. Timely disclosure of new pathogens is a matter of great concern to clinical laboratory scientists, microbiologists, and clinical pathologists because their laboratories get specimens from infected patients and they must correctly identify rare or emerging pathogens to help minimize the spread of disease.
This is why many medical laboratory professionals were surprised to see national news headlines recently about a particularly deadly new form of a pathogen. The Centers for Disease Control and Prevention (CDC) has been dealing with one particularly nasty example of Candida auris, or C. auris. This “superbug” fungus has been appearing in hospitals and healthcare clinics across the globe and it has killed people.
The news coverage of C. auris focused on two
elements:
First, how the pathogen was recognized by such
healthcare agencies as the CDC.
Second, why CDC and others did not issue a
public alert to hospitals, physicians, and other caregivers once it was known
that C. auris was responsible for the death of several patients.
Once C. auris takes hold, it can enter a patient’s bloodstream or wounds and cause life- threatening complications like sepsis. When hospitals rooms are not properly decontaminated, life-threatening hospital-acquired infections (HAIs), also known as nosocomial infections, can occur.
Incidences of HAIs have been on the rise in the past few
years. Dark Dailyhas reported
on this disturbing trend many times.
The New York Times (NYT) reported on one such HAI that had tragic consequences. A patient admitted to Mount Sinai Hospital in New York for abdominal surgery was later discovered to have contracted C. auris. He was immediately isolated and spent 90 days in the hospital before passing away. Tests showed that Candida auris was everywhere in his room.
“Everything was positive—the walls, the bed, the doors, the curtains, the phones, the sink, the whiteboard, the poles, the pump,” Scott Lorin, MD, President and Chief Operating Officer at Mount Sinai Brooklyn Hospital, told the NYT. “The mattress, the bed rails, the canister holes, the window shades, the ceiling, everything in the room was positive,” he said.
The hospital had to use special cleaning equipment to
sterilize the room and even found it necessary to tear out some ceiling and
floor tiles to annihilate the fungus, the NYT reported.
Media News Coverage of ‘Culture of Secrecy’
When this deadly fungus first emerged in America, it was not
disclosed to the public for a lengthy period of time. Then, when details of
deaths in hospitals due to the superbug went public, the national news media
reacted but then went silent. Why?
In that article, the NYT states that “under its
agreement with states, the CDC is barred from publicly identifying hospitals
that are battling to contain the spread of dangerous pathogens.” So, the CDC is
prevented from revealing to the public the names and locations of facilities
that are dealing with C. auris. And state governments typically do not
share that information either.
The NYT article also states, “The CDC declined to
comment, but in the past officials have said their approach to confidentiality
is necessary to encourage the cooperation of hospitals and nursing homes, which
might otherwise seek to conceal infectious outbreaks.”
And that, “Those pushing for increased transparency say they
are up against powerful medical institutions eager to protect their
reputations, as well as state health officials who also shield hospitals from
public scrutiny.”
Common Yeast Infection or Killer Superbug? Both!
C. auris grows as a common yeast infection. However,
it can be life threatening if it enters the bloodstream.
“The average person calls Candida infections yeast infections,” William Schaffner, MD, Professor and Chair, Department of Preventative Medicine at Vanderbilt University Medical Center, told Prevention. “However, Candida auris infections are much more serious than your standard yeast infection. They’re a variety of so-called superbugs [that] can complicate the therapy of very sick people.”
The CDC reports that, as of May 31, 2019, there have been a total of 685 cases of C. auris reported in the US. The majority of those cases occurred in Illinois (180), New Jersey (124), and New York (336). Twenty more cases were reported in Florida, and eight other states—California, Connecticut, Indiana, Maryland, Massachusetts, Oklahoma, Texas, and Virginia—each had less than 10 confirmed cases of C. auris.
The CDC states the infection seems to be most prominent among populations that have had extended stays in hospitals or nursing facilities. Patients who have had lines or tubes such as breathing tubes, feeding tubes, or central venous catheters entering their body, and those who have recently been given antibiotics or antifungal medications, seem to be the most vulnerable to contracting C. auris.
The fungus typically attacks people who are already sick or have weakened immune systems, which can make it challenging to diagnose, the CDC notes. C. auris infections are typically diagnosed with special clinical laboratory testing of blood specimens or other body fluids. Infections have been found in patients of all ages, from infants to the elderly.
Data from the CDC indicates that C. auris can cause
bloodstream infections, wound infections, and ear infections. Common symptoms
that indicate a person has Candida auris include fever, chills,
weakness, low blood pressure, and general malaise that do not improve with
antibiotics.
“A patient’s temperature may go up, their blood pressure can
go down, and they have complications of a pre-existing illness because of Candida
auris,” Schaffner told Prevention.
The CDC reports that more than one in three patients with
invasive C. auris dies. Even though the mortality rates for Candida
auris are high, it is unclear whether patients are dying from the infection
or from their underlying illnesses. “Whatever the cause, having Candida
auris doesn’t help a patient in any way,” Schaffner noted.
The CDC states that it and its public health partners are
working hard to discover more about this fungus, and to devise ways to protect
people from contracting it. Average healthy people probably don’t need to worry
about becoming infected with Candida auris. However, individuals who are
at high risk, and healthcare professionals, microbiologists, and pathologists,
should be on the alert for this new superbug strain of fungus.
Scientists worldwide engaged in research to develop a biomarker for dementia are predicting success, though some say additional research will be needed
Could a blood test for Alzheimer’s disease soon be on clinical laboratory test menus nationwide? Perhaps so. A recent Associated Press (AP) article that was picked up by NBC News and other healthcare publications reported that experimental test results presented during the Alzheimer’s Association International Conference (AAIC) in July suggest the Holy Grail of dementia tests—one where the specimen can be collected in a doctor’s office during a routine screening exam—may be close at hand.
The AP story noted that “half a dozen research groups gave new results on various experimental tests, including one that seems 88% accurate at indicating Alzheimer’s risk.” And Richard Hodes, MD, Director of the National Institute on Aging, told AP, “In the past year, we’ve seen a dramatic acceleration in progress [on Alzheimer’s tests]. This has happened at a pace that is far faster than any of us would have expected.”
This could be a boon for medical laboratories seeking way to contribute more value to patient care. Especially among Alzheimer’s patients, who account for as many as 70% of all dementia cases.
Plasma Biomarker for Predicting Alzheimer’s
One of the experimental blood tests presented at the AAIC involved a 2018 study into “the potential clinical utility of plasma biomarkers in predicting brain amyloid-β burden at an individual level. These plasma biomarkers also have cost-benefit and scalability advantages over current techniques, potentially enabling broader clinical access and efficient population screening,” the researchers stated an article they published in Nature.
AP also reported that Japanese scientists at the AAIC
presented results of a validation test conducted on 201 people who had either
Alzheimer’s, other types of dementia, or little or no symptoms. They found that
the test “correctly identified 92% of people who had Alzheimer’s and correctly
ruled out 85% who did not have it, for an overall accuracy of 88%.”
Akinori Nakamura, MD, PhD, of the National Center for
Geriatrics and Gerontology in Obu, Japan, was a member of the research team and
first author of the research paper. He told the AP that the test results “closely
matched those from the top tests used now—three types of brain scans and a
mental assessment exam.”
Koichi Tanaka is a Japanese engineer who won the Nobel prize winner for chemistry. He heads the Koichi Tanaka Research Lab at Shimadzu Corp. (OTCMKTS:SHMZF) in Kyoto, Japan, and was on the team that developed the Amyloid beta biomarker test that was presented at AAIC. He told Bloomberg, “Our finding overturned the common belief that it wouldn’t be possible to estimate amyloid accumulation in the brain from blood. We’re now being chased by others, and the competition is intensifying.”
But Tanaka cautions that the test needs further study before
it is ready for clinical use, and that for now “it belongs in the hands of drug
developers and research laboratories,” Bloomberg reported.
Other Studies into Developing an Alzheimer’s Biomarker
Alzheimer’s is usually diagnosed after symptoms appear, such
as memory loss. To arrive at their diagnoses, doctors often rely on medical
history, brain imaging (MRI, CT), PET, and measurement of amyloid in spinal
fluid.
An article published on Alzforum, a website and news service dedicated to the research and treatment for Alzheimer’s and other related disorders, noted a study by King’s College London researchers who, using mass spectrometry, “found a panel of biomarkers that predicted with almost 90% accuracy whether cognitively normal people had a positive amyloid scan.”
Nicholas Ashton, PhD, neuroscientist and Wallenberg Postdoctoral Fellow at University of Gothenburg in Sweden, and first author of the King’s College study, explained that “Amyloid-burden and neurofilament light polypeptide (NFL) peptides were important in predicting Alzheimer’s, but alone they weren’t as predictable as when we combined them with novel proteins related to amyloid PET.”
The researchers published their study earlier this year in Science Advances. “Using an unbiased mass spectrometry approach, we have found and replicated with high accuracy, specificity, and sensitivity a plasma protein classifier reflecting amyloid-beta burden in a cognitively unimpaired cohort,” the researchers wrote.
Meanwhile, researchers at Washington University School of Medicine St. Louis, along with the German Center for Neurodegenerative Diseases, a member of the Helmholtz Association, stated in a news release that a blood test they developed works by detecting leaks of NFL before the onset of symptoms. When the protein is found in cerebrospinal fluid, it could be a sign that Alzheimer’s may develop, as well as point to other neurodegenerative conditions such as multiple sclerosis, brain injury, or stroke, the researchers stated.
“This is something that would be easy to incorporate into a screening test in a neurology clinic,” Brian Gordon, PhD, Assistant Professor of Radiology at Washington University’s Mallinckrodt Institute of Radiology, and an author of the study, stated in the news release.
These parallel studies into screening for Alzheimer’s by
researchers worldwide are intriguing. The favorable results suggest that
someday there may be a screen for Alzheimer’s using a clinical laboratory blood
test.
With Alzheimer’s affecting nearly six million Americans of all ages, such an assay would enable clinical laboratories to help many people.
Though the field of oncology has some AI-driven tools, overall, physicians report the reality isn’t living up to the hype
Artificial intelligence (AI) has been heavily touted as the next big thing in healthcare for nearly a decade. Much ink has been devoted to the belief that AI would revolutionize how doctors treat patients. That it would bring about a new age of point-of-care clinical decision support tools and clinical laboratory diagnostic tests. And it would enable remote telemedicine to render distance between provider and patient inconsequential.
But nearly 10 years after IBM’s Watson defeated two human contestants on the game show Jeopardy, some experts believe AI has under-delivered on the promise of a brave new world in medicine, noted IEEE Spectrum, a website and magazine dedicated to applied sciences and engineering.
In the years since Watson’s victory on Jeopardy, IBM (NYSE:IBM) has announced
almost 50 partnerships, collaborations, and projects intended to develop
AI-enabled tools for medical purposes. Most of these projects did not bear
fruit.
However, IBM’s most publicized medical partnerships revolved
around the field of oncology and the expectation that Watson could analyze data
and patients’ records and help oncologists devise personalized and effective
cancer treatment plans. Success in helping physicians more accurately diagnosis
different types of cancer would require anatomic pathologists to understand
this new role for Watson and how the pathology profession should respond to it,
strategically and tactically.
But Watson and other AI systems often struggled to
understand the finer points of medical text. “The information that physicians
extract from an article, that they use to change their care, may not be the
major point of the study,” Mark
Kris, MD, Medical Oncologist at Memorial
Sloan Kettering Cancer Center, told IEEE Spectrum. “Watson’s
thinking is based on statistics, so all it can do is gather statistics about
main outcomes. But doctors don’t work that way.”
Ultimately, IEEE Spectrum reported, “even today’s
best AI struggles to make sense of complex medical information.”
“Reputationally, I think they’re in some trouble,” Robert Wachter, MD, Professor and Chair, Department of Medicine, University of California, San Francisco, told IEEE Spectrum. “They came in with marketing first, product second, and got everybody excited. Then the rubber hit the road. This is an incredibly hard set of problems, and IBM, by being first out, has demonstrated that for everyone else.”
Over Promises and Under Deliveries
In 2016, MD Anderson Cancer Center canceled a project with IBM Watson after spending $62 million on it, Becker’s Hospital Review reported. That project was supposed to use natural language processing (NLP) to develop personalized treatment plans for cancer patients by comparing databases of treatment options with patients’ electronic health records.
“We’re doing incredibly better with NLP than we were five
years ago, yet we’re still incredibly worse than humans,” Yoshua Bengio, PhD,
Professor of Computer Science at the University
of Montreal, told IEEE Spectrum.
The researchers hoped that Watson would be able to examine
variables in patient records and keep current on new information by scanning
and interpreting articles about new discoveries and clinical trials. But Watson
was unable to interpret the data as humans can.
IEEE Spectrum reported that “The realization that
Watson couldn’t independently extract insights from breaking news in the
medical literature was just the first strike. Researchers also found that it
couldn’t mine information from patients’ electronic health records as they’d
expected.”
Researchers Lack Confidence in Watson’s Results
In 2018, the team at MD Anderson published a paper in The
Oncologist outlining their experiences with Watson and cancer
care. They found that their Watson-powered tool, called Oncology
Expert Advisor, had “variable success in extracting information from
text documents in medical records. It had accuracy scores ranging from 90% to
96% when dealing with clear concepts like diagnosis, but scores of only 63% to
65% for time-dependent information like therapy timelines.”
A team of researchers at the University of Nebraska Medical Center (UNMC) have experimented with Watson for genomic analytics and breast cancer patients. After treating the patients, scientists identify mutations using their own tools, then enter that data into Watson, which can quickly pick out some of the mutations that have drug treatments available.
“But the unknown thing here is how good are the results,” Babu Guda, PhD, Professor and Chief Bioinformatics and Research Computing Officer at UNMC, told Gizmodo. “There is no way to validate what we’re getting from IBM is accurate unless we test the real patients in an experiment.”
Guda added that IBM needs to publish the results of studies
and tests performed on thousands of patients if they want scientists to have
confidence in Watson tools.
“Otherwise it’s very difficult for researchers,” he said.
“Without publications, we can’t trust anything.”
Computer Technology Evolving Faster than AI Can Utilize
It
The inability of Watson to produce results for medical uses
may be exacerbated by the fact that the cognitive computing technologies that
were cutting edge back in 2011 aren’t as advanced today.
IEEE Spectrum noted that professionals in both
computer science and medicine believe that AI has massive potential for
improving and enhancing the field of medicine. To date, however, most of AI’s
successes have occurred in controlled experiments with only a few AI-based
medical tools being approved by regulators. IBM’s Watson has only had a few
successful ventures and more research and testing is needed for Watson to prove
its value to medical professionals.
“As a tool, Watson has extraordinary potential,” Kris told IEEE
Spectrum. “I do hope that the people who have the brainpower and computer
power stick with it. It’s a long haul, but it’s worth it.”
Meanwhile, the team at IBM Watson Health continues to forge ahead. In February 2019, Healthcare IT News interviewed Kyu Rhee, MD, Vice President and Chief Health Officer at IBM Corp. and IBM Watson Health. He outlined the directions IBM Watson Health would emphasize at the upcoming annual meeting of the Healthcare Information and Management Systems Society (HIMSS).
IBM Watson Health is “using our presence at HIMSS19 this
year to formally unveil the work we’ve been doing over the past year to
integrate AI technology and smart, user-friendly analytics into the provider
workflow, with a particular focus on real-world solutions for providers to start
tackling these types of challenges head-on,” stated Rhee. “We will tackle these
challenges by focusing our offerings in three core areas. First, is management
decision support. These are the back-office capabilities that improve
operational decisions.”
Clinical laboratory leaders and anatomic pathologists may or
may not agree about how Watson is able to support clinical care initiatives.
But it’s important to note that, though AI’s progress toward its predicted
potential has been slow, it continues nonetheless and is worth watching.