As the cancer registry expands it will increasing become more useful to anatomic pathologists, histopathologists, oncologists, and even clinical laboratories
Oncologists, histopathologists, anatomic pathologists, and other cancer physicians now have a powerful new Wikipedia-style tumor registry to help them with their diagnoses and in educating patients on their specific types of cancer. Clinical laboratory managers may find it useful to understand the value this searchable database, and it can help their staff pathologists as well.
Free to use by both physicians and patients the World Tumor Registry (WTR) is designed “to minimize diagnostic errors by giving doctors a searchable online database of cancers that have been collected and categorized with cellular images collected from around the world,” Pittsburg-Post Gazette reported.
Prompt, accurate cancer diagnoses offer cancer patients the best chance for optimal treatment outcomes. However, many medical professionals around the globe do not have the training and resources to offer superior cancer diagnoses. That deficiency can translate to inferior treatment options and lower survival rates among cancer patients.
To help improve cancer diagnoses, pathologist Yuri E. Nikiforov, MD, PhD, Division Director, Molecular and Genomic Pathology, Vice Chair of the Department of Pathology, and Professor of Pathology, University of Pittsburgh, developed the WTR to provide educational and practical resources for individuals and organizations involved in cancer research.
Officially announced at the United States and Canadian Academy of Pathology (USCAP) annual convention, the WTR is an open-access catalog of digital microscopic images of human cancer types and subtypes.
The lower cost of technology and improved speed of access via the internet are technologies enabling this effort.
“We are creating sort of a Wikipedia for cancer images,” said Alyaksandr V. Nikitski, MD, PhD (above), Research Assistant Professor of Pathology, Division of Molecular and Genomic Pathology at Pittsburg School of Medicine and Administrative Director of the WTR, in an exclusive interview with Dark Daily. “Anyone in the world, if they can access the internet, can look at the well-annotated, diagnostic digital slides of cancer,” said Nikitski. Clinical laboratories may also find this new pathology tool useful. (Photo copyright: Alyaksandr V. Nikitski)
Minimizing Diagnostic Errors
Based in Pittsburgh, the WTR is freely available to anyone for viewing digital pathology slides of known cancer tumors as well as borderline and questionable cases. On the website, individuals can search for pictures of tumors in the registry by diagnosis, specific cohorts, and by microscopic features. Individuals may search further by tumor type and subtype to receive a picture of related tumors.
According to the WTR website, the mission of the nonprofit “is to minimize diagnostic errors, eliminate inequality in cancer recognition, diagnosis, and treatment in diverse populations, and improve outcomes by increasing access to the diagnostic pathology expertise and knowledge of microscopic characteristics of cancers that occur in different geographic, environmental, and socio-economic settings.”
This new comprehensive initiative will eventually encompass cancer images from all over the world.
“Let’s assume that I am a pathologist or a trainee who has little experience, or I don’t have access to collections of atypical tumors,” Nikitski explained. “I can view tumor collections online [in the WTR database] and check how typical and rare tumors look in various geographic regions and environmental settings.”
Once an image of a slide is selected, users will then receive a brief case history of the tumor in addition to such data as the age of the patient, their geographic location, sex, family history of the disease, and the size and stage of the tumor.
Increasing Probability of Correct Diagnosis
Pathologists and clinicians may also predict the probability of a particular diagnosis by searching under the microscopic feature of the database. This feature utilizes an innovative classifier known as PathDxFinder, where users may compare a slide from their lab to slides in the database by certain criteria. This includes:
After completing the questions above, the user presses the “predict diagnosis” button to receive the probability of cancer and most likely diagnosis based on the answers provided in the questionnaire.
WTR Editorial Boards
The WTR represents collections for each type of cancer site, such as lung or breast. A chairperson and editorial board are responsible for reviewing submitted slides before they are placed online. The editorial boards include 20 pathologists who are experts in diagnosing cancer categories, Nikitski explained.
Thousands of identified microscopic whole slide images (WSI) representing various types of cancer are deposited by the editors and other contributors to the project. The editorial board then carefully analyzes and compiles the data before posting the images for public viewing.
The editorial boards are located in five world regions:
Africa and the Middle East
Asia and Oceania
Central and South America
North America and Europe
Northern Asia
Any physicians or pathologists can contribute images to the database, by “simply selecting the editor of their region on the website, writing their name, and asking if they can submit tumor cases,” Nikitski stated.
“We have established a platform that allows pathologists to contact editors who are in the same geographic region,” he added.
Helping Physicians Identify Cancer Types
In a YouTube video, Nikiforov states that the WTR is an “educational nonprofit organization rooted in [the] beliefs that every cancer patient deserves accurate and timely diagnosis as the first and essential step in better treatment and outcomes.”
“We believe this can be achieved only when modern diagnostic tools and technologies are freely available to every physician and pathologist. Only when we understand how microscopic features of cancer vary in different geographic, environmental and ethnic populations, and only by integrating histopathology with clinical immunohistochemical and molecular genetic information for every cancer type,” he stated.
Since patient privacy is important, the database contains only basic data about patients, and all patient information is protected.
Launched in March, there are currently more than 400 thyroid tumor slides available to view in the online database. At the time of the announcement, the WTR platform was planned to be implemented in three phases:
Thyroid cancer (released in March of this year).
Lung cancer and breast cancer (anticipated to be completed by the third quarter of 2026).
Remaining cancers, including brain, soft tissue and bone, colorectal, head and neck, hematolymphoid, female genital, liver, pancreatic, prostate and male genital, skin, urinary system, pediatric, other endocrine cancers, and rare cancers (anticipated to be completed by the end of 2029).
“We believe that this resource will help physicians and pathologists practicing in small or big or remote medical centers to learn how cancer looks under a microscope in their own communities,” Nikiforov said in the video. “We also see WTR as a platform that connects physicians and scientists from different parts of the world who can work together to better understand and treat cancer.”
Catalogs like the World Tumor Registry might potentially create a pool of information that that could be mined by analytical and artificial intelligence (AI) platforms to ferret out new ways to improve the diagnosis of certain types of cancer and even enable earlier diagnoses.
“It is an extremely useful resource,” Nikitski said.
Anatomic pathologists will certainly find it so. And clinical laboratory managers may find the information useful as well when interacting with histopathologists and oncologists.
Groups representing academic publishers are taking steps to combat paper mills that write the papers and then sell authorship spots
Clinical laboratory professionals rely on peer-reviewed research to keep up with the latest findings in pathology, laboratory medicine, and other medical fields. They should thus be interested in new efforts to combat the presence of “research paper mills,” defined as “profit oriented, unofficial, and potentially illegal organizations that produce and sell fraudulent manuscripts that seem to resemble genuine research,” according to the Committee on Publication Ethics (COPE), a non-profit organization representing stakeholders in academic publishing.
“They may also handle the administration of submitting the article to journals for review and sell authorship to researchers once the article is accepted for publication,” the COPE website states.
In a recent example of how paper mills impact scholarly research, multinational publishing company John Wiley and Sons (Wiley) announced in The Scholarly Kitchen last year that it had retracted more than 1,700 papers published in journals from the company’s Hindawi subsidiary, which specializes in open-access academic publishing.
“In Hindawi’s case, this is a direct result of sophisticated paper mill activity,” wrote Jay Flynn, Wiley’s Executive Vice President and General Manager, Research, in a Scholarly Kitchen guest post. “The extent to which our processes and systems were breached required an end-to-end review of every step in the peer review and publishing process.”
In addition, journal indexer Clarivate removed 19 Hindawi journals from its Web of Science list in March 2023, due to problems with their editorial quality, Retraction Watch reported.
Hindawi later shut down four of the journals, which had been “heavily compromised by paper mills,” according to a blog post from the publisher.
Wiley also announced at that time that it would temporarily pause Hindawi’s special issues publishing program due to compromised articles, according to a press release.
“We urgently need a collaborative, forward-looking and thoughtful approach to journal security to stop bad actors from further abusing the industry’s systems, journals, and the communities we serve,” wrote Jay Flynn (above), Wiley EVP and General Manager, Research and Learning, in an article he penned for The Scholarly Kitchen. “We’re committed to addressing the challenge presented by paper mills and academic fraud head on, and we invite our publishing peers, and the many organizations that work alongside us, to join us in this endeavor.” Clinical laboratory leaders understand the critical need for accurate medical research papers. (Photo copyright: The Scholarly Kitchen.)
Using AI to Detect Paper Mill Submissions
Wiley acquired Hindawi in 2021 in a deal valued at $298 million, according to a press release, but the subsidiary has since become a financial drain for the company.
The journals earn their revenue by charging fees to authors. But in fiscal year 2024, which began last fall, “Wiley expects $35-40 million in lost revenue from Hindawi as it works to turn around journals with issues and retract articles,” Retraction Watch reported, citing an earnings call.
Wiley also revealed that it would stop using the Hindawi brand name and bring the subsidiary’s remaining journals under its own umbrella by the middle of 2024.
The service will incorporate tools to detect signs that submissions originated from paper mills, including similarities with “known papermill hallmarks” and use of “tortured phrases” indicating that passages were translated by AI-based language models, according to a press release.
These tools include:
Papermill Similarity Detection: Checks for known papermill hallmarks and compares content against existing papermills papers.
Problematic Phrase Recognition: Flags unusual alternatives to established terms.
Unusual Publication Behavior Detection: Identifies irregular publishing patterns by paper authors.
Researcher Identity Verification: Helps detect potential bad actors.
Gen-AI Generated Content Detection: Identifies potential misuse of generative AI.
Journal Scope Checker: Analyzes the article’s relevance to the journal.
The company said that the new service will be available through Research Exchange, Wiley’s manuscript submission platform, as early as next year.
Other Efforts to Spot Paper Mill Submissions
Previously, STM announced the launch of the STM Integrity Hub, with a mission “to equip the scholarly communication community with data, intelligence, and technology to protect research integrity,” Program Director Joris van Rossum, PhD, told The Scholarly Kitchen.
In 2023, the group announced that the hub would integrate Papermill Alarm from Clear Skies, a paper mill detection tool launched in 2022 with a focus on cancer research. It uses a “traffic-light rating system for research papers,” according to a press release.
In an announcement about the launch of Wiley’s Papermill Detection service, Retraction Watch suggested that one key to addressing the problem would be to reduce incentives for authors to use paper mills. Those incentives boil down to the pressure placed on many scientists, clinicians, and students to publish manuscripts, according to the research report from STM and COPE.
In one common scenario, the report noted, a paper mill will submit a staff-written paper to multiple journals. If the paper is accepted, the company will list it on a website and offer authorship spaces for sale.
“If a published paper is challenged, the ‘author’ may sometimes back down and ask for the paper to be retracted because of data problems, or they may try to provide additional supporting information including a supporting letter from their institution which is also a fake,” the report noted.
All of this serves as a warning to pathologists and clinical laboratory professionals to carefully evaluate the sources of medical journals publishing studies that feature results on areas of healthcare and lab medicine research that are of interest.
Trifecta of forces at work that will affect the clinical laboratory and pathology industries have been described as a ‘perfect storm’ requiring lab and practice managers to be well informed
Digital pathology, artificial intelligence (AI) in healthcare, and the perfect storm of changing federal regulations, took centerstage at the 29th Executive War College on Diagnostics, Clinical Laboratory, and Pathology Management in New Orleans this week, where more than 1,000 clinical laboratory and pathology leaders convened over three days.
This was the largest number of people ever onsite for what has become the world’s largest event focused exclusively on lab management topics and solutions. Perhaps the highlight of the week was the federal Food and Drug Administration’s (FDA’s) announcement of its final rule on Laboratory Developed Tests (LDTs). Overall, the conference featured more than 120 speakers, many of them national thought leaders on the topic of clinical lab and pathology management. More than 65% of the audience onsite were executive level lab managers.
“The level of interest in the annual Executive War College is testimony to the ongoing need for dynamic, engaging, and highly relevant conference events,” said Robert Michel (above), Editor-in-Chief of Dark Daily and its sister publication The Dark Report, and founder of the Executive War College. “These in-person gatherings present great opportunities for clinical laboratory and pathology managers and leaders to network and speak with people they otherwise might not meet.” (Photo copyright: Dark Intelligence Group.)
Demonstrating Clinical Value
For those who missed the action onsite, the following is a synopsis of the highlights this week.
Lâle White, Executive Chair and CEO of XiFin, spoke about the future of clinical laboratory testing and the factors reshaping the industry. There are multiple dynamics impacting healthcare economics and outcomes—namely rising costs, decreasing reimbursements, and the move to a more consumer-focused healthcare. But it is up to labs, she said, to ensure their services are not simply viewed as a commodity.
“Laboratory diagnostics have the potential to change the economics of healthcare by really gaining efficiencies,” she noted. “And it’s up to labs to demonstrate clinical value by helping physicians manage two key diagnostic decision points—what tests to order, and what to do with the results.”
But even as labs find ways to increase the value offered to clinicians, there are other disruptive factors in play. Consumer-oriented tech companies such as Google, Apple, and Amazon are democratizing access to patient data in unforeseen ways, and Medicare Advantage plans are changing the way claims are processed and paid.
Clinical labs are fundamental components of the public health infrastructure. So, the CDC plans on focusing on delivering high-quality laboratory science, supported by reliable diagnostics and informatics for disease outbreaks and exposures, and engaging with public and private sector partners.
The history of MolDX and Z-Codes were the topics discussed by Gabriel Bien-Willner, MD, PhD, Chief Medical Officer for healthcare claims and transaction processing company Palmetto GBA. Molecular testing is highly complex, and the lack of well-defined billing codes and standardization makes it difficult to know if a given test is reasonable and necessary.
Z-Codes were established to clarify what molecular testing was performed—and why—prompting payers to require both Z-Codes and Current Procedural Terminology (CPT) codes when processing molecular test claims. Medicare’s MolDX program further streamlines the claims process by utilizing expertise in the molecular diagnostics space to help payers develop coverage policies and reimbursement for these tests.
FDA Final Rule on LDT Regulation
Timothy Stenzel, MD, PhD, CEO of Grey Haven Consulting and former director of the FDA’s Office of In Vitro Diagnostics reviewed the latest updates from the FDA’s Final Rule on LDT (laboratory developed test) regulation. Prior to the FDA releasing its final rule, some experts suggested that the new regulations could result in up to 90% of labs discontinuing their LDT programs, impacting innovation, and patient care.
However, the final rule on LDTs is very different from the original proposed rule which created controversy. The final rule actually lowers the regulatory burden to the point that some labs may not have to submit their LDTs at all. The FDA is reviewing dozens of multi-cancer detection assays, some of which have launched clinically as LDTs. The agency is likely to approve those that accurately detect cancers for which there is no formal screening program.
Stenzel explained the FDA’s plan to down-classify most in vitro diagnostic tests, changing them from Class III to Class II, and exempting more than 1,000 assays from FDA review. He also discussed the highlights of the Quality Management System Regulation (QMSR). Launched in January, the QMSR bought FDA requirements in line with ISO 13485, making compliance easier for medical device manufacturers and test developers working internationally.
Looming Perfect Storm of Regulatory Changes
To close out Day 1, Michel took to the stage again with a warning to clinical laboratories about the looming “Perfect Storm” trifecta—the final FDA ruling on LDTs, Z-Code requirements for genetic testing, and updates to CLIA ’92 that could result in patient data being considered a specimen.
Laboratory leaders must think strategically if their labs are to survive the fallout, because the financial stress felt by labs in recent years will only be exacerbated by macroeconomic trends such as:
Staff shortages,
Rising costs,
Decreasing and delayed reimbursements, and
Tightening supply chains.
Lab administrators looking for ways to remain profitable and prosperous should look beyond the transactional Clinical Lab 1.0 fee-for-service model and adopt Clinical Lab 2.0, which embraces HEDIS (Healthcare Effectiveness Data and Information Set) scores and STAR ratings to offer more value to Medicare Advantage and other payers.
Wednesday’s General Session agenda was packed with information about the rise of artificial intelligence, big data, and precision medicine in healthcare. Taking centerstage on the program’s final day was Michael Simpson, President and CEO of Clinisys. Simpson gave a global perspective on healthcare data as the new driver of innovation in diagnostics and patient care.
Speedy DNA sequencing and on-the-spot digital imaging may change the future of anatomic pathology procedures during surgery
Researchers at the Center for Molecular Medicine (CMM) at UMC Utrecht, a leading international university medical center in the Netherlands, have paired artificial intelligence (AI) and machine learning with DNA sequencing to develop a diagnostic tool cancer surgeons can use during surgeries to determine in minutes—while the patient is still on the operating table—whether they have fully removed all the cancerous tissue.
The method, “involves a computer scanning segments of a tumor’s DNA and alighting on certain chemical modifications that can yield a detailed diagnosis of the type and even subtype of the brain tumor,” according to The New York Times, which added, “That diagnosis, generated during the early stages of an hours-long surgery, can help surgeons decide how aggressively to operate, … In the future, the method may also help steer doctors toward treatments tailored for a specific subtype of tumor.”
This technology has the potential to reduce the need for frozen sections, should additional development and studies confirm that it accurately and reliably shows surgeons that all cancerous cells were fully removed. Many anatomic pathologists would welcome such a development because of the time pressure and stress associated with this procedure. Pathologists know that the patient is still in surgery and the surgeons are waiting for the results of the frozen section. Most pathologists would consider fewer frozen sections—with better patient outcomes—to be an improvement in patient care.
“It’s imperative that the tumor subtype is known at the time of surgery,” Jeroen de Ridder, PhD (above), associate professor in the Center for Molecular Medicine at UMC Utrecht and one of the study leaders, told The New York Times. “What we have now uniquely enabled is to allow this very fine-grained, robust, detailed diagnosis to be performed already during the surgery. It can figure out itself what it’s looking at and make a robust classification,” he added. How this discovery affects the role of anatomic pathologists and pathology laboratories during cancer surgeries remains to be seen. (Photo copyright: UMC Utrecht.)
Rapid DNA Sequencing Impacts Brain Tumor Surgeries
The UMC Utrecht scientists employed Oxford Nanopore’s “real-time DNA sequencing technology to address the challenges posed by central nervous system (CNS) tumors, one of the most lethal type of tumor, especially among children,” according to an Oxford Nanopore news release.
The researchers called their new machine learning AI application the “Sturgeon.”
According to The New York Times, “The new method uses a faster genetic sequencing technique and applies it only to a small slice of the cellular genome, allowing it to return results before a surgeon has started operating on the edges of a tumor.”
Jeroen de Ridder, PhD, an associate professor in the Center for Molecular Medicine at UMC Utrecht, told The New York Times that Sturgeon is “powerful enough to deliver a diagnosis with sparse genetic data, akin to someone recognizing an image based on only 1% of its pixels, and from an unknown portion of the image.” Ridder is also a principal investigator at the Oncode Institute, an independent research center in the Netherlands.
The researchers tested Sturgeon during 25 live brain surgeries and compared the results to an anatomic pathologist’s standard method of microscope tissue examination. “The new approach delivered 18 correct diagnoses and failed to reach the needed confidence threshold in the other seven cases. It turned around its diagnoses in less than 90 minutes, the study reported—short enough for it to inform decisions during an operation,” The New York Times reported.
But there were issues. Where the minute samples contain healthy brain tissue, identifying an adequate number of tumor markers could become problematic. Under those conditions, surgeons can ask an anatomic pathologist to “flag the [tissue samples] with the most tumor for sequencing, said PhD candidate Marc Pagès-Gallego, a bioinformatician at UMC Utrecht and a co-author of the study,” The New York Times noted.
“Implementation itself is less straightforward than often suggested,” Sebastian Brandner, MD, a professor of neuropathology at University College London, told The Times. “Sequencing and classifying tumor cells often still required significant expertise in bioinformatics as well as workers who are able to run, troubleshoot, and repair the technology,” he added.
“Brain tumors are also the most well-suited to being classified by the chemical modifications that the new method analyzes; not all cancers can be diagnosed that way,” The Times pointed out.
Thus, the research continues. The new method is being applied to other surgical samples as well. The study authors said other facilities are utilizing the method on their own surgical tissue samples, “suggesting that it can work in other people’s hands.” But more work is needed, The Times reported.
UMC Utrecht Researchers Receive Hanarth Grant
To expand their research into the Sturgeon’s capabilities, the UMC Utrecht research team recently received funds from the Hanarth Fonds, which was founded in 2018 to “promote and enhance the use of artificial intelligence and machine learning to improve the diagnosis, treatment, and outcome of patients with cancer,” according to the organization’s website.
The researchers will investigate ways the Sturgeon AI algorithm can be used to identify tumors of the central nervous system during surgery, a UMC Utrecht news release states. These type of tumors, according to the researchers, are difficult to examine without surgery.
“This poses a challenge for neurosurgeons. They have to operate on a tumor without knowing what type of tumor it is. As a result, there is a chance that the patient will need another operation,” said de Ridder in the news release.
The Sturgeon application solves this problem. It identifies the “exact type of tumor during surgery. This allows the appropriate surgical strategy to be applied immediately,” the news release notes.
The Hanarth funds will enable Jeroen and his team to develop a variant of the Sturgeon that uses “cerebrospinal fluid instead of (part of) the tumor. This will allow the type of tumor to be determined already before surgery. The main challenge is that cerebrospinal fluid contains a mixture of tumor and normal DNA. AI models will be trained to take this into account.”
The UMC Utrecht scientists’ breakthrough is another example of how organizations and research groups are working to shorten time to answer, compared to standard anatomic pathology methods. They are combining developing technologies in ways that achieve these goals.
Forces in play will directly impact the operations and financial stability of many of the nation’s clinical laboratories
With significant regulatory changes expected in the next 18 to 24 months, experts are predicting a “Perfect Storm” for managers of clinical laboratories and pathology practices.
Currently looming are changes to critical regulations in two regulatory areas that will affect hospitals and medical laboratories. One regulatory change is unfolding with the US Food and Drug Administration (FDA) and the other regulatory effort centers around efforts to update the Clinical Laboratory Improvement Amendments of 1988 (CLIA).
The major FDA changes involve the soon-to-be-published Final Rule on Laboratory Developed Tests (LDTs), which is currently causing its own individual storm within healthcare and will likely lead to lawsuits, according to the FDA Law Blog.
In a similar fashion—and being managed under the federal Centers for Medicare and Medicaid Services (CMS)—are the changes to CLIA rules that are expected to be the most significant since 2003.
The final element of the “Perfect Storm” of changes coming to the lab industry is the increased use by private payers of Z-Codes for genetic test claims.
In his general keynote, Robert L. Michel, Dark Daily’s Editor-in-Chief and creator of the 29th Executive War College on Diagnostics, Clinical Laboratory, and Pathology Management, will set the stage by introducing a session titled, “Regulatory Trifecta Coming Soon to All Labs! Anticipating the Federal LDT Rule, Revisions to CLIA Regulations, and Private Payers’ Z-Code Policies for Genetic Claims.”
“There are an unprecedented set of regulatory challenges all smashing into each other and the time is now to start preparing for the coming storm,” says Robert L. Michel (above), Dark Daily’s Editor-in-Chief and creator of the 29th Executive War College on Diagnostics, Clinical Laboratory, and Pathology Management, a national conference on lab management taking place April 30-May 1, 2024, at the Hyatt in New Orleans. (Photo copyright: The Dark Intelligence Group.)
Coming Trifecta of Disruptive Forces to Clinical Laboratory, Anatomic Pathology
The upcoming changes, Michel notes, have the potential to cause major disruptions at hospitals and clinical laboratories nationwide.
“Importantly, this perfect storm—which I like to describe as a Trifecta because these three disruptive forces that will affect how labs will conduct business—is not yet on the radar screen of most lab administrators, executives, and pathologists,” he says.
Because of that, several sessions at this year’s Executive War College conference, now in its 29th year, will offer information designed to give attendees a better understanding of how to manage what’s coming for their labs and anatomic pathology practices.
“This regulatory trifecta consists of three elements,” adds Michel, who is also Editor-in-Chief of Dark Daily’s sister publication The Dark Report, a business intelligence service for senior level executives in the clinical laboratory and pathology industry, as well in companies that offer solutions to labs and pathology groups.
According to Michel, that trifecta includes the following:
Element 1
FDA’s Draft LDT Rule
FDA’s LDT rule is currently the headline story in the lab industry. Speaking about this development and two other FDA initiatives involving diagnostics at the upcoming Executive War College will be pathologist Tim Stenzel, MD, PhD, former director of the FDA’s Office of In Vitro Diagnostics. It’s expected that the final rule on LDTs could be published by the end of April.
Stenzel will also discuss harmonization of ISO 13485 Medical Devices and the FDA’s recent memo on reclassifying most high-risk in vitro diagnostics to moderate-risk to ease the regulatory burden on companies seeking agency review of their diagnostic assays.
Salerno will also cover the CDC’s efforts to foster closer connections with clinical labs and their local public health laboratories, as well as the expanding menu of services for labs that his department now offers.
Element 3
Private Payer Use of Z-Codes for Test Claims
On the third development—increased use by private payers of Z-Codes for genetic test claims—the speaker will be pathologist Gabriel Bien-Willner, MD, PhD. He is the Medical Director of the MolDX program at Palmetto GBA, a Medicare Administrative Contractor (MAC). It is the MolDX program that oversees the issuance of Z-Codes for molecular and diagnostic tests.
UnitedHealthcare (UHC) was first to issue such a Z-Code policy last year, although it has delayed implementation several times. Other major payers are watching to see if UHC succeeds with this requirement, Michel says.
Other Critical Topics to be Covered at EWC
In addition to these need-to-know regulatory topics, Michel says that this year’s Executive War College will present almost 100 sessions and include 148 speakers. Some of the other topics on the agenda in New Orleans include the following and more:
Standardizing automation, analyzers, and tests across 25 lab sites.
Effective ways to attract, hire, and retain top-performing pathologists.
Leveraging your lab’s managed care contracts to increase covered tests.
“Our agenda is filled with the topics that are critically important to senior managers when it comes to managing their labs and anatomic pathology practices,” Michel notes.
“Every laboratory in the United States should recognize these three powerful developments are all in play at the same time and each will have direct impact on the clinical and financial performance of our nation’s labs,” Michel says. “For that reason, every lab should have one or more of their leadership team present at this year’s Executive War College to understand the implications of these developments.”
Visit here to learn more about the 29th Executive War College conference taking place in New Orleans.
