Following the loss of its histology accreditation, pressure on APS laboratory continues to mount
Government-run healthcare systems around the world often under-invest as demand grows and new healthcare technologies enter clinical practice. One such example is taking place in New Zealand, where public pathology and medical laboratory services are under extreme stress as physician test orders exceed the ability of the island nation’s clinical laboratories to keep up.
“The escalating pressure is complicating what was already a very difficult rescue job at one of the country’s busiest labs—Community Anatomic Pathology Services (APS),” RNZ reported. In 2023, APS lost its histology accreditation after it came to light that lab workers were not only exposed to toxic chemical levels at the facility, but that patients were waiting weeks for test results to return from the lab.
“The service is in crisis mode and, without urgent investment … there is a real risk that it will fail. The changes required are of such urgency that it is recommended that they be placed at the top of the agenda,” the report reads, RNZ reported.
“The size of New Zealand’s economy is restricting what our country spends on health. Health is already the second highest demand on the New Zealand tax dollar,” wrote Andrew Blair, CMInstD (above), then General Manager of Royston Hospital, Hastings, New Zealand, in an article he penned for Jpn Hosp, the journal of the Japan Hospital Association. “The tolerance of New Zealanders would be challenged if a government attempted to increase taxes further to meet the growing demands for expenditure on health, but at the same time the population’s expectations are increasing. This is the challenging situation we face today.” For New Zealand’s clinical laboratories, the demand for testing is increasing annually as the country’s population grows. (Photo copyright: Blair Consulting.)
Increased Demand on APS Leads to Problems
Established in 2015, APS tests thousands of anatomic and tissue samples yearly and is utilized by approximately a third of NZ’s population, according to RNZ.
The big story, however, is that from 2022 to 2023 utilization increased by a third. “The overall increasing demand is greater than the capacity of the service,” Te Whatu Ora (Health New Zealand), the country’s publicly-funded healthcare system, told RNZ.
As planned care increased, public hospitals started outsourcing operations to private surgical centers. A domino effect ensued when all of those samples then made their way to APS. There was an “increased volume of private surgery being carried out by 600 specialists in the region and 2,000 general practitioners, with up to 450 histology cases a day,” RNZ noted, adding, “The backlog has hit turnaround times for processing samples, which had been deteriorating.”
To make matters even more dire, working conditions at the country’s clinical labs is unfavorable and deteriorating, with short staffing, outdated workspaces and equipment, and exposure to dangerous chemicals.
“Conditions got so bad from 2019-2021 that workers were exposed to cancer-causing formaldehyde in cramped workspaces, and flammable chemicals were stored unsafely,” RNZ reported.
While pay increases and safety improvements have provided some relief, the memory of past incidences coupled with increasing delays continue to undermine confidence in New Zealand’s laboratory industry.
Patients Also at Risk Due to Long Delays in Test Results
“We recognize the concern and impact any delayed results can cause referrers and their patients,” Health New Zealand said in a statement, RNZ reported.
Nevertheless, a 2023 article in The Conversation noted that, “38,000 New Zealanders had been waiting longer than the four-month target for being seen by a specialist for an initial assessment.”
However, according to plastic surgeon and Melanoma Network of New Zealand (MelNet) Chair Gary Duncan, MBChB, FRACS, when patients return to their doctors for test results, those results often have not come back from the medical laboratory. Therefore, the physician cannot discuss any issues, which causes the patient to have to make another appointment or receive a melanoma diagnosis over the telephone, RNZ reported.
“Slow pathology services are unfair to patients. Such delays could result in the spreading of the melanoma to other parts of the body and require major surgery under anesthetic,” dermatologist Louise Reiche, MBChB, FRACS, told RNZ. “Not only will they suffer an extensive surgical procedure, but it could also shorten their life.”
Improvements at APS Underway
Changes are currently underway that may decrease the long delays in test results at New Zealand’s labs. “A business case was being done to set up an electronic ordering system to cut down on manual processing errors,” RNZ reported.
Additionally, “the situation is much improved due to dispersal of work around [the] city and country for now. The teamwork around the region has been a veritable lifesaver,” a source familiar with the work told RNZ.
Construction of a new lab for APS is also allegedly in the works. However, to date no announcement has been made, according to RNZ.
Time will tell if New Zealand’s government can repair its pathology system. News stories showcasing damage caused by lengthy delays in clinical laboratory test results—and the ensuing patient harm due to rationed care in general—continue to reveal the weakness in government-run healthcare systems.
Though they are a mystery, once solved, Obelisks could lead to new biomarkers for clinical laboratory testing
Microbiologists and clinical laboratories know that human microbiota play many important roles in the body. Now, scientists from Stanford University have discovered an entirely new class of “viroid-like” lifeforms residing inside the human body. The researchers detected their presence in both the gut microbiome and saliva samples. Most interesting of all, the researchers are not sure what the lifeforms actually are.
The Stanford researchers, led by PhD student Ivan Zheludev, called the new discovery “Obelisks” due to their RNA structures, which are short and can fold into structures that resemble rods.
The scientists believe the Obelisks went undetected until now in the human microbiome due to their compact genetic elements, which are only around 1,000 characters or nucleotides in size. A typical human DNA structure consists of around three billion nucleotides.
In an article they published on the biology preprint server bioRxiv titled, “Viroid-like Colonists of Human Microbiomes,” the Stanford researchers wrote, “Here, we describe the ‘Obelisks,’ a previously unrecognized class of viroid-like elements that we first identified in human gut metatranscriptomic data. … Obelisks comprise a class of diverse RNAs that have colonized and gone unnoticed in human and global microbiomes.”
The researchers discovered that Obelisks “form their own distinct phylogenetic group with no detectable sequence or structural similarity to known biological agents.”
This is yet another example of how researchers are digging deeper into human biology and finding things never before identified or isolated.
“I am really impressed by the approach. The authors were really creative,” computational biologist Simon Roux, PhD (above) of the Department of Energy (DEO) Joint Genome Institute at Lawrence Berkeley National Laboratory told Science in response to the Stanford researcher’s published findings. “I think this [work] is one more clear indication that we are still exploring the frontiers of this viral universe. This is one of the most exciting parts of being in this field right now. We can see the picture of the long-term evolution of viruses on Earth start to slowly emerge.” How these findings might eventually spark new biomarkers for clinical laboratory testing remains to be seen. (Photo copyright: Berkeley Lab.)
Researchers Bewildered by Obelisks
In their study, “Zheludev and team searched 5.4 million datasets of published genetic sequences and identified almost 30,000 different Obelisks. They appeared in about 10% of the human microbiomes the team examined,” Science reported.
The Stanford researchers found that various types of Obelisks seem to inhabit different areas of the body. In one dataset, the Obelisks were found in half of the oral samples.
The function of Obelisks is unknown, but their discovery is bewildering experts.
Rod-like secondary structures encompassing the entire genome, and
Open reading frames coding for a novel protein superfamily, which the researchers dubbed “Oblins.”
At least half of the genetic material of the Obelisks was taken up by these Oblins. The researchers suspect those proteins may be involved in the replication process of the newly-discovered lifeforms.
The Oblins are also significantly larger than other genetic molecules that live inside cells and they do not have the genes to create protein shells that RNA viruses live within when they are outside of cells.
“Obelisks, therefore, need some kind of host. The researchers managed to identify one: A bacterium called Streptococcus sanguinis that lives mostly in dental plaque in our mouths. Exactly which other hosts obelisks inhabit is yet another mystery, as are what they do to their host and how they spread,” Vice reported.
“While we don’t know the ‘hosts’ of other Obelisks, it is reasonable to assume that at least a fraction may be present in bacteria,” the researchers noted in their bioRxiv paper.
Researchers are Stumped
The Stanford scientists were unable to identify any impact the Obelisks were having on their bacterial hosts—either negative or positive—or determine how they could spread between cells.
“These elements might not even be ‘viral’ in nature and might more closely resemble ‘RNA plasmids,’” they concluded in their paper.
The Stanford scientists are uncertain as to where or what the hosts of the Obelisks are, but they suspect that at least some of them are present in bacteria. However, Obelisks do not appear to be similar to any biological agents that could provide a link between genetic molecules and viruses.
And so, Obelisks are a true mystery—one the Stanford researchers may one day solve. If they do, new biomarkers for clinical laboratory testing may not be far behind.
Radiological method using AI algorithms to detect, locate, and identify cancer could negate the need for invasive, painful clinical laboratory testing of tissue biopsies
This will be of interest to histopathologists and radiologist technologists who are working to develop AI deep learning algorithms to read computed tomography scans (CT scans) to speed diagnosis and treatment of cancer patients.
“Researchers used the CT scans of 170 patients treated at The Royal Marsden with the two most common forms of retroperitoneal sarcoma (RPS)—leiomyosarcoma and liposarcoma—to create an AI algorithm, which was then tested on nearly 90 patients from centers across Europe and the US,” the news release notes.
The researchers then “used a technique called radiomics to analyze the CT scan data, which can extract information about the patient’s disease from medical images, including data which can’t be distinguished by the human eye,” the new release states.
The research team sought to make improvements with this type of cancer because these tumors have “a poor prognosis, upfront characterization of the tumor is difficult, and under-grading is common,” they wrote. The fact that AI reading of CT scans is a non-invasive procedure is major benefit, they added.
“This is the largest and most robust study to date that has successfully developed and tested an AI model aimed at improving the diagnosis and grading of retroperitoneal sarcoma using data from CT scans,” said the study’s lead oncology radiologist Christina Messiou, MD, (above), Consultant Radiologist at The Royal Marsden NHS Foundation Trust and Professor in Imaging for Personalized Oncology at The Institute of Cancer Research, London, in a news release. Invasive medical laboratory testing of cancer biopsies may eventually become a thing of the past if this research becomes clinically available for oncology diagnosis. (Photo copyright: The Royal Marsden.)
Study Details
RPS is a relatively difficult cancer to spot, let alone diagnose. It is a rare form of soft-tissue cancer “with approximately 8,600 new cases diagnosed annually in the United States—less than 1% of all newly diagnosed malignancies,” according to Brigham and Women’s Hospital.
In their published study, the UK researchers noted that, “Although more than 50 soft tissue sarcoma radiomics studies have been completed, few include retroperitoneal sarcomas, and the majority use single-center datasets without independent validation. The limited interpretation of the quantitative radiological phenotype in retroperitoneal sarcomas and its association with tumor biology is a missed opportunity.”
According to the ICR news release, “The [AI] model accurately graded the risk—or how aggressive a tumor is likely to be—[in] 82% of the tumors analyzed, while only 44% were correctly graded using a biopsy.”
Additionally, “The [AI] model also accurately predicted the disease type [in] 84% of the sarcomas tested—meaning it can effectively differentiate between leiomyosarcoma and liposarcoma—compared with radiologists who were not able to diagnose 35% of the cases,” the news release states.
“There is an urgent need to improve the diagnosis and treatment of patients with retroperitoneal sarcoma, who currently have poor outcomes,” said the study’s first author Amani Arthur, PhD, Clinical Research Fellow at The Institute of Cancer Research, London, and Registrar at The Royal Marsden NHS Foundation Trust, in the ICR news release.
“The disease is very rare—clinicians may only see one or two cases in their career—which means diagnosis can be slow. This type of sarcoma is also difficult to treat as it can grow to large sizes and, due to the tumor’s location in the abdomen, involve complex surgery,” she continued. “Through this early research, we’ve developed an innovative AI tool using imaging data that could help us more accurately and quickly identify the type and grade of retroperitoneal sarcomas than current methods. This could improve patient outcomes by helping to speed up diagnosis of the disease, and better tailor treatment by reliably identifying the risk of each patient’s disease.
“In the next phase of the study, we will test this model in clinic on patients with potential retroperitoneal sarcomas to see if it can accurately characterize their disease and measure the performance of the technology over time,” Arthur added.
Importance of Study Findings
Speed of detection is key to successful cancer diagnoses, noted Richard Davidson, Chief Executive of Sarcoma UK, a bone and soft tissue cancer charity.
“People are more likely to survive sarcoma if their cancer is diagnosed early—when treatments can be effective and before the sarcoma has spread to other parts of the body. One in six people with sarcoma cancer wait more than a year to receive an accurate diagnosis, so any research that helps patients receive better treatment, care, information and support is welcome,” he told The Guardian.
According to the World Health Organization, cancer kills about 10 million people worldwide every year. Acquisition and medical laboratory testing of tissue biopsies is both painful to patients and time consuming. Thus, a non-invasive method of diagnosing deadly cancers quickly, accurately, and early would be a boon to oncology practices worldwide and could save thousands of lives each year.
By emphasizing HPV vaccinations while having clinical laboratories continue to perform Pap smears, Australia’s rate of cervical cancer has dropped notably
There is currently a global push to completely eradicate cervical cancer and Australia is leading the way with increased funding. It is also focusing on hard-to-reach and underserved populations. Australia is hoping to be first in the world to accomplish this feat by 2035.
For a number of decades, the Pap smear has been the primary screening tool for cervical cancer, as most pathologists and clinical laboratory managers know. However, today it plays a lesser role due to the effectiveness of HPV (human papillomavirus) diagnostic testing, which was put into cervical cancer screening guidelines in 2004.
Then came the first HPV vaccine in 2006. Australia was one of the first nations to implement HPV vaccination programs. By 2010, Australia was working to vaccinate every child. Now, 14 years later, the pool of adults vaccinated against HPV in that nation is causing the rates of cervical cancer to fall.
That means much less cervical cancer test volume for cytotechnologists and cytopathologists, freeing them up to devote their skills to other diagnostic tests.
As the country continues to funnel resources into hitting a zero cancer status, the additional drive will “connect Australia’s world-leading cervical cancer expertise with governments across the region to get HPV vaccine programs up and running, expand screening and treatment, and build health workforce capacity,” said Australia’s Minister for Foreign Affairs office in a press release.
“Australia has always punched above its weight when it comes to cervical cancer, and now Australia is on track to be the first country in the world to eliminate this deadly disease,” said Hon Ged Kearney, MP, RN (above), Assistant Minister for Health and Aged Care and a member of the government’s House of Representatives, in a press release. “By supporting the Pacific and Southeast Asia region [to] eliminate cervical cancer, we are another step closer to ridding the world of this disease.” Clinical laboratories and cytopathologists may soon see less reliance on Pap smears for screening and a shift toward HPV vaccinations to lower the rate of cervical cancer in the US as well. (Photo copyright: Australian Labor Party.)
90% of eligible people will be vaccinated against HPV (including girls and boys).
70% of eligible people will be screened every five years.
95% of eligible people will receive the best possible treatment for precancer and cancer.
In addition to $48.2 million in funding over four years, the program provides:
On the spot testing of samples in First Nations [aka, First Peoples] communities, allowing immediate follow up.
Support for nurses, First Nations health practitioners, and midwives to request pathology for cervical screening.
Increasing support for GPs to undertake colposcopies.
Helping the Underserved
Reaching a wider audience is a large part of Australia’s focus.
“One of my priorities is to address inequities in our health system. I want to make sure that everyone can get access to screening—and all healthcare—no matter where [they] live,” Kearney added. Among the populations sought are First Nations, LGBTIQA+, disabled individuals, and those living away from large cities.
“$8.3 million has been allocated to implement innovate screening models to support such communities,” the Minister for Foreign Affairs office noted in the press release.
Meeting people where they are, and reaching underserved populations, can make a huge difference, especially considering how cervical cancer affects these people. “First Nations women are almost twice as likely to be diagnosed with cervical cancer and face significant barriers to participating in cervical screening compared to non-indigenous women,” the press release notes.
“These tests allow privacy and help to break down barriers for thousands of people who have never screened—including women who have experienced sexual violence, LGBTIQA+ people, and culturally and linguistically diverse and First Nations communities,” the Minister for Foreign Affairs office stated.
There is hope that the push will cause a great shift to other underserved communities as well.
“A quarter of global cervical cancer cases occur in our region, the Indo-Pacific. Tragically, in the Pacific, women are dying at up to 13 times the rate of women in Australia,” said Penny Wong, Australian Minister for Foreign Affairs, in the press release.
How the US Fares in Cervical Cancer Vaccinations
Australia’s vaccination rates far exceed those in the United States. The US government currently recommends HPV vaccination between the ages of 11-12 years old, though it could be administered starting at age nine.
“HPV vaccination is recommended for all persons through age 26 years who were not adequately vaccinated earlier,” the NIH’s National Cancer Institute (NCI) reports.
For years the standard focus for cervical cancer screening has been on the Pap smear. Data show the US lags behind many countries on the rate of HPV vaccination. NCI data show that, as of 2021, in the US just 58.5% of 13-15 year-olds “had received two or three doses of HPV vaccine as recommended,” NCI reported.
With the US’s standard of care still focused on the Pap smear, patients are beginning their cervical cancer prevention journey at a later age. This is because the preliminary age to get a Pap smear in the US is 21 years old, with follow-up exams every three years, the NCI reported.
Even those in this country who are sexually active are not recommended to get screening earlier than 21.
The NCI recommends HPV testing every five years starting at age 30 until 65, with Pap tests every three years.
Clinical laboratories may soon find that, while the US has been slower to get on board with HPV vaccinations, trends in other nations indicate that this may soon change. The reliance that was once placed on the Pap smears prior to 2000 will likely give way to HPV vaccinations at ages and vaccination rates that mirror programs in countries like Australia—where marked reductions in the rate of cervical cancer demonstrate the effectiveness of a successful HPV vaccination program.
New artificial intelligence model agrees with interpretations of human medical technologists and microbiologists with extraordinary accuracy
Microbiology laboratories will be interested in news from Brescia University in Italy, where researchers reportedly have developed a deep learning model that can visually identify and analyze bacterial species in culture plates with a high level of agreement with interpretations made by medical technologists.
They initially trained and tested the system to digitally identify pathogens associated with urinary tract infections (UTIs). UTIs are the source for a large volume of clinical laboratory microbiological testing.
The system, known as DeepColony, uses hierarchical artificial intelligence technology. The researchers say hierarchical AI is better suited to complex decision-making than other approaches, such as generative AI.
In their Nature paper, the researchers explained that microbiologists use conventional methods to visually examine culture plates that contain bacterial colonies. The scientists hypothesize which species of bacteria are present, after which they test their hypothesis “by regrowing samples from each colony separately and then employing mass spectroscopy techniques,” to confirm their hypotheses.
However, DeepColony—which was designed for use with clinical laboratory automation systems—looks at high-resolution digital scans of cultured plates and attempts to identify the bacterial strains and analyze them in much the same way a microbiologist would. For example, it can identify species based on their appearance and determine which colonies are suitable for analysis, the researchers explained.
“Working on a large stream of clinical data, and a complete set of 32 pathogens, the proposed system is capable of effectively assisting plate interpretation with a surprising degree of accuracy in the widespread and demanding framework of urinary tract infections,” the study authors wrote. “Moreover, thanks to the rich species-related generated information, DeepColony can be used for developing trustworthy clinical decision support services in laboratory automation ecosystems from local to global scale.”
“Compared to the most common solutions based on single convolutional neural networks (CNN), multi-network architectures are attractive in our case because of their ability to fit into contexts where decision-making processes are stratified into a complex structure,” wrote the study’s lead author Alberto Signoroni, PhD (above), Associate Professor of Computer Science, University of Brescia, and his researcher team in their Nature paper. “The system must be designed to generate useful and easily interpretable information and to support expert decisions according to safety-by-design and human-in-the-loop policies, aiming at achieving cost-effectiveness and skill-empowerment respectively.” Microbiologists and clinical laboratory managers will want to follow the further development of this technology. (Photo copyright: University of Brescia.)
How Hierarchical AI Works
Writing in LinkedIn, patent attorney and self-described technology expert David Cain, JD, of Hauptman Ham, LLP, explained that hierarchical AI systems “are structured in layers, each with its own distinct role yet interconnected in a way that forms a cohesive whole. These systems are significant because they mirror the complexity of human decision-making processes, incorporating multiple levels of analysis and action. This multi-tiered approach allows for nuanced problem-solving and decision-making, akin to a seasoned explorer deftly navigating through a multifaceted terrain.”
DeepColony, the researchers wrote, consists of multiple convolutional neural networks (CNNs) that exchange information and cooperate with one another. The system is structured into five levels—labeled 0 through 4—each handling a different part of the analysis:
At level 0, the system determines the number of bacterial colonies and their locations on the plate.
At level 1, the system identifies “good colonies,” meaning those suitable for further identification and analysis.
At level 2, the system assigns each good colony to a bacterial species “based on visual appearance and growth characteristics,” the researchers wrote, referring to the determination as being “pathogen aware, similarity agnostic.”
The CNN used at this stage was trained by using images of 26,213 isolated colonies comprising 32 bacterial species, the researchers wrote in their paper. Most came from clinical laboratories, but some were obtained from the American Type Culture Collection (ATCC), a repository of biological materials and information resources available to researchers.
At level 3, the system attempts to improve accuracy by looking at the larger context of the plate. The goal here is to “determine if observed colonies are similar (pure culture) or different (mixed cultures),” the researchers wrote, describing this step as “similarity aware, pathogen agnostic.” This enables the system to recognize variants of the same strain, the researchers noted, and has the effect of reducing the number of strains identified by the system.
At this level, the system uses two “Siamese CNNs,” which were trained with a dataset of 200,000 image pairs.
Then, at level 4, the system “assesses the clinical significance of the entire plate,” the researchers added. Each plate is labeled as:
“Positive” (significant bacterial growth),
“No significant growth” (negative), or
“Contaminated,” meaning it has three or more “different colony morphologies without a particular pathogen that is prevalent over the others,” the researchers wrote.
If a plate is labeled as “positive,” it can be “further evaluated for possible downstream steps,” using MALDI-TOF mass spectrometry or tests to determine susceptibility to antimicrobial measures, the researchers stated.
“This decision-making process takes into account not only the identification results but also adheres to the specific laboratory guidelines to ensure a proper supportive interpretation in the context of use,” the researchers wrote.
Nearly 100% Agreement with Medical Technologists
To gauge DeepColony’s accuracy, the researchers tested it on a dataset of more than 5,000 urine cultures from a US laboratory. They then compared its analyses with those of human medical technologists who had analyzed the same samples.
Agreement was 99.2% for no-growth cultures, 95.6% for positive cultures, and 77.1% for contaminated or mixed growth cultures, the researchers wrote.
The lower agreement for contaminated cultures was due to “a deliberately precautionary behavior, which is related to ‘safety by design’ criteria,” the researchers noted.
Lead study author Alberto Signoroni, PhD, Associate Professor of Computer Science, University of Brescia, wrote in Nature that many of the plates identified by medical technologists as “contaminated” were labeled as “positive” by DeepColony. “We maximized true negatives while allowing for some false positives, so that DeepColony [can] focus on the most relevant or critical cases,” he said.
Will DeepColony replace medical technologists in clinical laboratories any time soon? Not likely. But the Brescia University study indicates the direction AI in healthcare is headed, with high accuracy and increasing speed. The day may not be far off when pathologists and microbiologists regularly employ AI algorithms to diagnose disease.
Similar diagnostic delays due to clinical laboratory staff shortages are reported in other nations as well
Critical pathology shortages are causing lengthy delays for clinical laboratory test results in New Zealand, according to a report that states some patients are waiting over a month for a melanoma diagnosis. This situation puts the lives of cancer patients at risk in the island nation.
The Melanoma Network of New Zealand (MelNet) is working to reduce the number of people who develop the disease and help melanoma patients receive a fast diagnosis and proper treatment and care.
However, plastic surgeon and MelNet Chair Gary Duncan, MBChB, FRACS, told Radio New Zealand (RNZ) that when patients return to their doctors for test results, those results often have not come back from the medical laboratory. Therefore, the physician cannot discuss any issues with the patient, which causes them to make another appointment for a later date or receive a melanoma diagnosis over the telephone, RNZ reported.
Dermatologist Louise Reiche, MBChB, FRACS, told RNZ that slow pathology services are unfair to patients. Such delays could result in the spreading of the melanoma to other parts of the body and require major surgery under anesthetic.
“Not only will they suffer an extensive surgical procedure, but it could also shorten their life,” she said.
“We’ve got shortages across the board, and it only seems to be getting worse,” said Trishe Leong, MB.BS (hons) Medicine, FRCPA Anatomical Pathology (above), President of the Royal College of Pathologists of Australasia (RCPA). She added that “there was also a backlog of pathological examinations of placentas, which are used to detect genetic conditions and shed light on complex births,” The Sydney Morning Herald reported. Clinical laboratories in several countries worldwide are experiencing similar delays in reporting critical test results to physicians and their patients. (Photo copyright: RCPA.)
Pathology Labs Cannot Meet Demand for Testing
The Royal College of Pathologists recommends that 80% of specimen results should be returned to clinicians within five days. General practitioner Jeremy Hay, MD, of the Upper Hutt Skin Clinic told RNZ that he has never seen a melanoma report returned from the laboratory he utilizes within the suggested five-day time span. He stated that his local pathology lab simply cannot meet the demand for the vast number of samples waiting to be tested.
“I have visited the lab, and you can see even in the corridors stacks of unreported slides sitting outside the pathologist’s rooms, and there are more inside their rooms,” he said. “They need more staff and that’s quite obvious.”
Hay added that, because of the delays, he typically does not start with a small biopsy of a suspicious-looking piece of skin. Instead, he just cuts the entire area out and sends it to the lab for testing to expedite the diagnosis process.
Lab Loses Accreditation Due to Delays
Long delays caused one lab—Auckland’s Community Anatomic Pathology Service (APS)—to lose its accreditation for the lab’s skin testing department. According to RNZ, some patients had to wait up to eight weeks to learn whether they had melanoma.
An article published by medical/science specialty recruiting firm Odyssey, states that the deficiency at APS was due to several factors, including:
Population growth.
An increase in private medical practices.
The underestimation of the costs required to run the lab.
An overestimation of potential savings.
A shortage of qualified pathologists, specifically in the fields of anatomical, chemical, and forensic pathology.
The article also states that pathologists are now listed on Immigration New Zealand’s list of shortage skills in the country. That designation means that foreign candidates who have the skills, and who are offered jobs in the country, can immediately apply for permanent residency.
Three Week Wait for Cancer Diagnoses in Australia
According to the World Cancer Research Fund International (WCRF), New Zealand has the second highest rate of melanoma in the world. The number one spot is held by Australia.
Other countries are experiencing long wait times for cancer diagnoses as well. According to The Sydney Morning Herald, some individuals are waiting up to three weeks to receive a cancer diagnosis due to a shortage of pathologists.
In those countries, and around the world, healthcare experts say the solution is expanding training opportunities to solve the shortage of clinical laboratory scientists, medical laboratory and imaging technologists, doctors, nurses, and other medical professionals, and increasing funding for modernizing hospital facilities and clinics.
But in countries with government-run healthcare, that solution is problematic at best.
