For blood brothers Quest and LabCorp this is good news, since the two medical laboratory companies perform most of the testing for the biggest DTC genetic test developers
Should clinical laboratories be concerned about direct-to-consumer (DTC) genetic tests? Despite alerts from healthcare organizations about the accuracy of DTC genetic testing—as well as calls from privacy organizations to give DTC customers more control over the use of their genetic data—millions of people have already taken DTC tests to learn about their genetic ancestry. And millions more are expected to send samples of their saliva to commercial DTC companies in the near future.
This growing demand for at-home DTC tests does not appear to be subsiding. And since most of the genetic testing is completed by the two largest lab companies—Quest Diagnostics (NYSE:DGX) and Laboratory Corporation of America (NYSE:LH)—other medical laboratories have yet to find their niche in the DTC industry.
Another factor is the recent FDA authorization allowing DTC company 23andme to report the results of its pharmacogenetic (PGx) test directly to customers without requiring a doctor’s order. For these reasons, this trend looks to be gaining momentum and support from federal governing organizations.
Dark Daily has
reported on DTC genetic
testing for many years. According to MIT’s Technology Review, 26 million people—roughly
8% of the US population—have already taken at-home DNA tests. And that number
is expected to balloon to more than 100 million in the next 24 months!
“The genetic genie is out of the bottle. And it’s not going
back,” Technology Review reports.
The vast majority of the genetic information gathered goes into the databases of just four companies, with the top two—Ancestry and 23andMe—leading by a wide margin. The other two major players are FamilyTreeDNA and MyHeritage, however, Ancestry and 23andMe have heavily invested in online and television advertising, which is paying off.
As more people add their data to a given database, the likelihood they will find connections within that database increases. This is called the Network Effect (aka, demand-side economies of scale) and social media platforms grow in a similar manner. Because Ancestry and 23andMe have massive databases, they have more information and can make more connections for their customers. This has made it increasingly difficult for other companies to compete.
Quest Diagnostics and LabCorp do the actual gene sequencing
for the top players in the DTC genetic testing sector. The expected wave of new
DTC genetic test costumers (74 million in the next 24 months) will certainly
have a beneficial revenue impact on those two lab companies.
Why the Explosion in Genetic
Testing by Consumers?
In 2013, just over 100,000 people took tests to have their
DNA analyzed, mostly using Ancestry’s test, as Dark Daily reported. By 2017, that
number had risen to around 12 million, and though Ancestry still had the
majority market share, 23andMe was clearly becoming a force in the industry,
noted Technology Review.
And now there are several health-related reasons as well. For
example, the study of pharmacogenetics has led clinicians to understand that
certain genes reveal how our bodies process some medications. The FDA’s clearance
allows 23andMe to directly inform customers about “genetic variants that may be
associated with a patient’s ability to metabolize some medications to help
inform discussions with a healthcare provider. The FDA is authorizing the test
to detect 33 variants for multiple genes,” the FDA’s press
release noted.
Controversy Over DTC
Genetic Tests
The use of DTC genetic tests for healthcare purposes is not without scrutiny by regulatory agencies. The FDA removed 23andMe’s original health test from the market in 2013. According to Technology Review, the FDA’s letter was “one of the angriest ever sent to a private company” and said “that the company’s gene predictions were inaccurate and dangerous for those who might not fully understand the results.”
23andMe continues to refine its DTC tests. However, the debate continues. In February of this year, the New York Times (NYT) editorial board published an op-ed warning consumers to be wary of health tests offered by 23andMe, saying the tests “look for only a handful of [genetic] errors that may or may not elevate your risk of developing the disease in question. And they don’t factor into their final analysis other information, like family history.”
Anne Wojcicki, CEO and co-founder of 23andMe, responded with her own op-ed to the NYT, titled, “23andMe Responds: Empowering Consumers.” In her letter, Wojcicki contends that people should be empowered to take control of their own health, and that 23andMe allows them to do just that. “While 23andMe is not a diagnostic test for individuals with a strong family history of disease, it is a powerful and accurate screening tool that allows people to learn about themselves and some for the most common clinically useful genetic conditions,” she wrote.
Nevertheless, privacy concerns remain:
Who owns the results, the company or the
consumer?
Who can access them?
What happens to them a year or five years after
the test is taken?
When they are sold or used, are consumers
informed?
Even as experts question the accuracy of DTC genetic testing
in a healthcare context, and privacy concerns continue to grow, more people
each year are ordering the tests. With predictions of 74 million more tests
expected in the next 24 months, it’s certain that the medical laboratories that
process those tests will benefit.
Customer relationship
management (CRM) plays a critical role in helping providers care for patients
with chronic diseases and clinical laboratories are part of those solutions
Home healthcare continues to boom in the US and more
technology companies each year—including Salesforce—strive to expand their
presence within the industry. This represents a significant shift in site of
service for a substantial and growing number of Americans. Equally true is that
home healthcare is an opportunity for clinical laboratories to serve this
increasing proportion of the American population.
Statistics tell the tale behind the boom in home healthcare.
The Centers
for Disease Control and Prevention (CDC) estimates that six in 10 adults in
the United States suffer from chronic diseases, such as cancer, and four in 10
adults live with two or more chronic illnesses.
This means that among medical laboratories and other
providers servicing the home healthcare industry demand for clinical laboratory
testing will increase.
Last year, approximately $103 billion was spent on home
healthcare services and that number is expected to reach $173 billion by 2026,
according to the Centers for Medicare and
Medicaid Services (CMS). Approximately 7.6 million people in the US now
require some level of in-home medical care. The overall employment of in-home
healthcare providers is projected to grow 41% between 2016 and 2026.
Efficient tools that assist home healthcare organizations and
their providers are critical. Customer
Relationship Management (CRM) platforms that combine data gathered during
office visits with patients’ living and economic situations are proving to be powerful
allies for treating chronic disease populations.
Social Determinants
of Health
One such CRM developer, Salesforce,
is rising to the demand by adding new features to its existing Health
Cloud platform. Originally introduced in 2016 as a way to improve how
healthcare and life sciences organizations connect with patients, this product
is one example of how Silicon Valley companies are attempting to make inroads
within the healthcare sector. Health Cloud’s newest functional upgrades include:
These social determinants of health are typically not
included in health records. But they can be vital information for healthcare
providers. Clinical laboratory managers should pay attention to “social
determinants of health” because this term describes a new dimension in medical
care and how patients with chronic diseases are managed.
This is a critical factor. Healthcare providers who use Salesforce’s
Health Cloud can now record a patient’s social determinant information—such as,
transportation issues, housing status, and care network—directly into that
patient’s profile. Access to this type of information can give healthcare
professionals a more complete understanding of each patient’s unique situation.
Here are some examples from a Salesforce press
release that illustrate how social-determinants-of-health data can help
patients and care providers:
“A care provider that wants to limit a patient’s
risk for readmission can know if the patient has access to transportation or
the ability to purchase healthy meals.
“A life science organization that wants to help
patients adhere to their therapies, or properly use their medical devices, can
see a patient’s employment status and living arrangements, and thus offer the
necessary level of financial and in-home support.
“A payer organization can deliver personalized
preventative or wellness material to members based on the member’s education or
reading level.”
“Our industry continues to centralize and integrate patient
data, but it is critical that we stay focused on improving the patient
experience,” noted Ashwini
Zenooz, MD, in the press release. Zenooz is Salesforce’s Senior Vice
President and General Manager, Global Healthcare and Life Sciences. “By surfacing
critical factors of a patient’s life in a single view, we empower care
providers to personalize patient care experiences and improve outcomes.”
Many
existing CRM products cannot collect data from a variety of sources and then
sort and analyze that information to provide users with actionable
intelligence. Salesforce is attempting to fill that void among health and
medical software products with Health Cloud.
“Healthcare has been slower culturally, politically, and
socially to share their data. But what we’re seeing now is even those
organizations that have historically not shared their data are realizing they
can do a better job if they do,” Newman told MedCity News.
Outside Hospital Care
Increasing
Salesforce has also added a service it calls the Connected
Patient Journey to its Health Cloud platform. This service is an
integration between Health Cloud and Salesforce marketing, which can
personalize information given to patients based on their unique health needs.
Using this feature allows providers to build patient lists and use marketing techniques
to reach patients who would most benefit from specific campaigns and
information.
“The general overarching theme that unites all of these
innovations is that care is gravitating increasingly toward the home or outside
of the hospital and the doctor’s office,” said Newman.
Whether in-hospital or in-home, clinical laboratory tests play
a critical role in healthcare services. The ability for clinical laboratories
to enter patients’ test results data directly into CRM systems like Health
Cloud could help providers utilizing those systems better assist patients with
chronic diseases.
Starting in July 2019,
to comply with PAMA, medical laboratories are expected to analyze their private
payer price data to help ensure clean, complete, and accurate reporting by
March 31, 2020
The Centers for Medicare and Medicaid Services (CMS) did not implement fines with the first round of reporting, but that could change this round, noted Lâle White, Executive Chairman and CEO of XIFIN Inc., a healthcare IT company. White offered perspectives on PAMA’s impact to medical labs during EWC earlier this week.
“In this second period of data collection, it’s becoming
even more important for us to collect data accurately, precisely, and provide
nearly perfect information on this because we can see the impact is fairly
significant to our industry, and with payers ratcheting down their pricing,
it’s becoming even more significant,” White said.
The daylong workshop dedicated to PAMA compliance featured
legal and informatics
experts, consultants, and also laboratory healthcare executives who shared
lessons learned from the previous reporting cycle.
Sarah Simonson, Director of Client Management at Change Healthcare, advised labs to test their data extraction process now; produce a small sample of full data; then collaborate to filter out the exclusions, such as Medicaid and self-pay, among others. Simonson also recommends that labs designate a project champion.
Things Clinical Labs
Should Watch for During the Validation Process
Looking forward, July 1, 2019, marks the start of the data
validation period. Here are some things labs should focus on and look out for.
Payments that are not applicable: These would include test codes paid under Medicare’s Physician Fee Schedule; denied ($0.00) payments; unresolved appeals; capitated payments; and payments where the associated test volume cannot be determined.
For example, when a private payer denies payment for a laboratory test, payments of $0.00 or “zero dollars” are not considered a private payer rate for purposes of determining applicable information under the new Clinical Laboratory Fee Schedule (CLFS), according to CMS. Laboratories should not report “zero dollars” for a laboratory test code where a private payer has denied payment within a data collection period.
Very low payments: Data reporters may be tempted to exclude very low payments. However, Joyce Gresko, JD, a Partner in the firm Alston and Bird LLP, based in Washington, DC, cautions that this choice may trigger civil monetary penalties. PAMA gives CMS the authority to issue civil monetary penalties if labs fail to report data, or if they misrepresent or omit reported data, according to CMS’ website.
Look outside the data
collection window: While CMS specifies that labs report payments received
between Jan. 1, 2019, and June 30, 2019, there may be important and related
test data points prior to and after those dates, says Craig Young, Senior
Financial Analyst for XIFIN. The adjudication date is key to helping report
correctly, he said.
When in doubt, leave
it out: Young emphasized double checking that payers have stated the unit correctly
to help ensure the correct volume will be reported per test, per price. And he
adds, when in doubt, leave it out, but be prepared to defend yourself if you do.
CMS Administrator
Seema Verma Hints at the Possibility of Audits
CMS requires independent laboratories, physician office laboratories, and hospital outreach laboratories that meet the current definition of “applicable laboratory” under PAMA regulations to report specific information. This includes laboratory test HCPCS (Healthcare Common Procedure Coding System) codes, associated private payer rates, and volume data that corresponds to each private payer rate. The data reporting period starts Jan. 1, 2020, and continues through March 31, 2020.
PAMA is particular in that it regularly resets the rates that Medicare pays for clinical diagnostic laboratory tests under the CLFS based on the data that labs submit. For the initial implementation of PAMA price reporting, CMS did not independently verify the accuracy of labs’ self-determination, but CMS Administrator Seema Verma recently made some provocative statements concerning analyzing claims data.
The CMS is “working to automatically detect claims that have
inappropriately unbundled the panel tests,” Verma wrote in a
letter to Senate Finance Chair Chuck Grassley (R-Iowa). As Modern Healthcare reported, “[CMS]
is scrutinizing lab test bills submitted to Medicare to make sure the
government hasn’t been overpaying laboratories because of inappropriate coding.”
Mining private payer price datasets out of billing systems
can be tedious, difficult, and the data may be overwhelming, said Trish Hankila, Vice President
of Finance for South Bend Medical Foundation
in South Bend, Ind., one of the EWC PAMA presenters. Hankila advises running a
global report to determine the scope of the project. Ultimately, diligence is
required, and labs will benefit from developing their PAMA team as soon as
possible.
Sonic’s data-driven
approach to population health management, based on helping clinicians intervene
with patients to control healthcare costs, increases the lab’s revenue
Using integrated financial and clinical analytics, Sonic is
developing technologies to build clinical
decision support tools for its provider and health plan clients. The
providers and health plans use those tools to engage patients and help them
manage their health.
“We are getting paid for contracting strategies beyond fee-for-service,” Sonic’s Chief Strategy Officer Phil Chen, MD, PhD, told the 875 attendees at the 24th Annual Executive War College (EWC) in New Orleans, one of the largest crowds in the history of the event. In his presentation, Chen outlined value-based contracting strategies that Sonic uses to share savings with its healthcare provider clients.
Identifying Low-Cost
Patients Who May Become High-Cost Patients
“Follow the people, follow the money,” Chen said. During his
presentation, he explained how Sonic uses lab test results and financial data
to show providers how some low-cost patients over time can become high-cost
patients. And how Sonic uses lab test data to help physicians identify low-cost
patients who may need certain interventions before they become high-cost
patients.
Providers have opportunities to intervene with patients who have renal failure, congestive heart failure, ischemic heart disease, diabetes, and other conditions, Chen said.
“Why do some people in the low-cost categories jump into the
high-cost category?” he asked. Lab test data offer clues, he suggested.
Over several years, Sonic has worked with one client
provider group to identify patients who would benefit the most from
interventions to prevent their healthcare costs from rising sharply. For a
health plan with 75,000 lives, Chen showed how Sonic tracked the cost of
patients from one to the next. “The goal is to find out who are the patients
who consume high healthcare cost, but may benefit from early intervention,” he
said.
Sonic found that about two-thirds of high-cost patients were
in the low-cost group just one year earlier. “We then focused on this subset
trying to determine the reasons they transitioned from low to high cost,” he
explained. “We found that the reason they were low cost the year before was not
because they were healthy. Instead, it was because they did not engage with the
healthcare system for their chronic disease management.”
Therefore, their treatment costs were low. But when they entered the healthcare system in the following year, their costs rose sharply, he said. Sonic used its iMorpheus data analytics system to show that 26.5% of the low-cost patients had diabetes, but that they had not seen their physician in the previous 12 months.
Partnering with
Health Plans Increases Patients’ Visits
When Sonic explained to its health plan client that the
health plan needed to contact those patients to ensure they would get the care
they needed, the health plan administrator told Sonic the health plan didn’t
have the resources to do the work. Instead, the health plan expected Sonic to
contact the patients. The administrator told Sonic, “You need to do it because
I need a healthcare partner,” Chen said.
Sonic did not have the staff to call those patients either. So,
the company developed an automated interactive voice response system to call the
patients. Sonic recorded the patients’ physicians and then had the system place
the calls. Of the patients who received the calls, 44% responded and visited
their physicians.
For this ACO, Sonic used its pathology and laboratory
informatics system to integrate clinical and claims-based financial risk
assessment data. As a result of Sonic’s work, the ACO’s payments from Medicare
rose from $12.8 million one year to $26 million the next. As a result, Chen
said, “We got a nice check for the work we did for this ACO.”
UPS’ program on
WakeMed Hospital’s Raleigh campus in N.C. is first drone delivery service
cleared by FAA for commercial purposes
UPS (NYSE:UPS) Chairman and CEO David Abney emphasizes patients, not packages, in the company’s new drive toward drone technology in medical laboratory specimen transport and logistics.
“Healthcare is a strategic imperative for us,” Abney said.
“We deliver a lot of important things, but lab [shipments] are critical, and
they’re very much a part of patient care.”
UPS entered the healthcare sector in 2000 with its acquisition of Livingston HealthCare. In 2016, the company acquired Marken, a move that Abney said, “sent a clear message to our customers that we were taking healthcare and clinical trials very seriously.”
Clinical Laboratory
Specimens Delivered by Drone
With healthcare deliveries already a big part of UPS’ ground
business, the company now moves lab specimens by drone on WakeMed’s hospital campus in
Raleigh, N.C. The effort marks the first commercial daily drone service to be
cleared by the Federal Aviation Administration (FAA) for lab specimen
transport, and it is made possible through UPS’s new partnership with Menlo
Park, Calif.-based Matternet.
Matternet Founder and CEO Andreas Raptopoulos described how the new technology is impacting turnaround time, specimen stability, and viability. The “Future of Lab Logistics” session at EWC, featuring Raptopoulos and Shannon DeMar, Senior Marketing Manager Healthcare Strategy at UPS in Atlanta, Ga., brought questions about FAA regulations, risk mitigation, and more. Laboratory leaders are looking at how to take their logistics to the next level.
On-Demand/Same-Day
Delivery of Medical Lab Samples
The UPS/Matternet program represents a major milestone for
unmanned aviation in the United States, according to UPS, in a recent release.
Currently, the majority of medical samples and specimens are transported across
WakeMed’s expanding health system by courier cars. The addition of drone
transport provides an option for on-demand and same-day delivery, the ability
to avoid roadway delays, increase medical delivery efficiency, lower costs, and
improve the patient experience.
How drones, sensors, and new technologies are poised to
increase the quality and accuracy of specimen transport and logistics
represented just a slice of the first full day of sessions at Executive War
College. UPS is an official partner and sponsor.
Also speaking at the 24th Annual Executive War College on
Lab and Pathology Management:
Evolving market trends are creating both concern and
opportunities for the clinical laboratory industry. New sources of revenue are essential
at a time when fee-for-service prices for lab tests are decreasing.
Early registration is already open for 2020 Executive War College, happening April 28-29, in New Orleans.
Researchers at UC Berkley developed new ways to use CRISPR as a genetic “search engine” in addition to a cut and paste tool
Clinical pathology laboratory professionals have long been aware of the potential diagnostic properties related to CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) technology. Now, new tests using the gene-editing tool show that potential is being realized.
One example involves using CRISPR to detect diseases in Nigeria, where a Lassa fever epidemic has already led to the death of 69 people this year alone. According the journal Nature, this diagnostic test “relies on CRISPR’s ability to hunt down genetic snippets—in this case, RNA from the Lassa virus—that it has been programmed to find. If the approach is successful, it could help to catch a wide range of viral infections early, so that treatments can be more effective and health workers can curb the spread of infection.”
Researchers in Honduras and California are working on similar projects to develop diagnostic tests for dengue fever, Zika, and the strains of human papillomavirus (HPV) that lead to cancer. There’s also a CRISPR-based Ebola test pending in the Democratic Republic of Congo.
These new genetic tests, which may be as simple as at-home
pregnancy tests to use, could save many lives throughout the world. They will
give medical laboratories new tools for diagnosing disease and guiding
therapeutic decisions.
Shift in How
Researchers View CRISPR
“We really think of CRISPR fundamentally as a kind of search engine for biology—like Google for biology—rather than [a kind of] word processing tool, although it’s really good at that too,” Trevor Martin, PhD, co-founder and CEO of Mammoth Biosciences, told CRISPR Cuts, a Synthego CRISPR podcast.
Professor of Biochemistry and Molecular Biology, and Li Ka
Shing Chancellor’s Professor in Biomedical and Health.
Martin’s statement represents a shift in how researchers are thinking about CRISPR. At first, CRISPR was seen as a tool for cutting and pasting genetic material. Scientists could tell it to find a target DNA sequence, make a cut, and paste in something different. However, by thinking of the tool as a search engine, CRISPR’s tremendous diagnostic potential becomes apparent.
“This is a very exciting direction for the CRISPR field to
go in,” Doudna told Nature.
Martin told CRISPR
Cuts that diagnostics is “fundamentally a search problem,” adding, “Now you
can program [CRISPR] to find something, and then tell you that result.”
Doudna notes in Technology Networks that, “Mammoth’s technology exemplifies some of the most urgent, impactful, and untapped potential in the CRISPR space.”
Investors See
Economic Benefits of CRISPR
The potential financial and economic impact of simple-to-use CRISPR-based diagnostic tools is considerable. Technology Networks notes that the diagnostics market is estimated at $45 billion, and that venture capital firms Mayfield, First Trust Mid Cap Core AlphaDEX Fund (NASDAQ:FNX), and 8VC have all invested in Mammoth Biosciences.
Although the diagnostics market is huge, a critical aspect
of the Lassa fever diagnostic test the Nigerian researchers are developing is
that it will be as accurate as conventional clinical laboratory testing
methods, but much simpler and less expensive.
Dhamari Naidoo, a technical officer at the World Health Organization (WHO) told Nature that researchers often fail to think about the fact that new technology must be affordable for use in low-income countries.
About a dozen diagnostic tests for Ebola have been
developed, according to Naidoo, but only two have been used recently in the
Democratic Republic of Congo, where the virus is resurging, due to economic
concerns. To be useful, medical laboratory tests in low-income countries must
be affordable to license and distribute, and critically, the manufacturers must
identify a market large enough to motivate them to make and distribute such
diagnostic tests.
Future Directions for
CRISPR and Clinical Pathology
Researchers first discovered what would come to be known as CRISPR in the early 1990s. However, it wasn’t until 2012 – 2013 that scientists used CRISPR and Cas9 for genome editing, a Broad Institute CRISPR timeline notes.
Now, researchers around the world are finding innovative
ways to employ the technology of CRISPR to detect disease in some of the most
remote, challenging areas where diseases such as Lassa fever, Zika, and dengue
fever among others, have devastated the populations, as Dark Daily has previously reported.
What’s next for clinical and pathology laboratories and
CRISPR? We’ll let you know.