Clinical laboratory data was key in identifying antibiotic-resistant bacteria responsible for surge in BSIs in hospitals and other healthcare facilities in 2020 and 2021
Clinical laboratory data compiled by the European Antimicrobial Resistance Surveillance Network (EARS-Net) shows that a massive increase in bloodstream infections (BSIs) occurred among EU nations during the first two years of the COVID-19 pandemic. The study found that BSIs caused by certain antimicrobial-resistant (AMR) pathogens, known as superbugs, more than doubled in EU hospitals and healthcare facilities in 2020 and 2021.
Microbiologists and clinical laboratory managers in the US may find it valuable to examine this peer-reviewed study into AMR involved in blood stream infections. It could contain useful insights for diagnosing patients suspected of BSIs in US hospitals where sepsis prevention and antibiotic stewardship programs are major priorities.
“Antimicrobial resistance undermines modern medicine and puts millions of lives at risk,” said Tedros Adhanom Ghebreyesus, PhD, Director-General, World Health Organization, in a WHO press release. “To truly understand the extent of the global threat and mount an effective public health response to [antimicrobial resistance], we must scale up microbiology testing and provide quality-assured data across all countries, not just wealthier ones.” Clinical laboratories in the US may be called upon to submit data on bloodstream infections in this country. (Photo copyright: WHO.)
Clinical Laboratories in EU Report Huge Increase in Carbapenem Resistance
To perform their study, researchers measured the increase in Acinetobacter BSIs between 2020 and 2021, the first two years of the COVID-19 pandemic. Their data originated from qualitative regular antimicrobial susceptibility testing (AST) from blood samples collected by local clinical laboratories in the European Union/European economic area (EU/EEA) nations.
The researchers limited their dataset to Acinetobacter BSI information from the European medical laboratories that documented results of carbapenem susceptibility testing for the bacterial species.
Carbapenems are a class of very powerful antibiotics that are typically used to treat severe bacterial infections. A total of 255 EU/EEA clinical laboratories reported their data for the study. The scientists found that the percentages of Acinetobacter resistance varied considerably between EU/EEA nations, so they separated the countries into three different groups:
Nations in Group One—The Netherlands, Belgium, Austria, Estonia, Denmark, Germany, Iceland, Finland, Luxembourg, Ireland, Norway, Sweden, and Malta—experienced less than 10% resistance to carbapenems.
Nations in Group Two—Slovenia, Czech Republic, and Portugal—had carbapenem resistance between 10% and 50%.
Nations in Group Three—Croatia, Bulgaria, Greece, Cyprus, Italy, Hungary, Lithuania, Latvia, Romania, Poland, Spain, and Slovakia—demonstrated carbapenem resistance equal or greater than 50%.
The study also found that Acinetobacter BSIs rose by 57% and case counts increased by 114% in 2020 and 2021 when compared to 2018 and 2019. The percentage of resistance to carbapenems rose to 66% in 2020 and 2021, up from 48% in 2018 and 2019.
Antimicrobial Resistance Especially High in Hospital Settings
The researchers further arranged the data into three hospital ward types: intensive care unit (ICU), non-ICU, and unknown. The increase in BSIs caused by Acinetobacter species resistant to carbapenems was greater in ICU-admitted individuals (144%) than non-ICU-admitted individuals (41%).
There are more than 50 species of Acinetobacter bacteria and various strains are often resistant to many types of commonly-used antibiotics. Symptoms of an Acinetobacter infection usually appear within 12 days after a person comes into contact with the bacteria. These symptoms may include:
Blood infections,
Urinary tract infections,
Pneumonia, and
Wound infections.
Healthy people have a low risk of contracting an Acinetobacter infection with the highest number of these infections occurring in hospitals and other healthcare settings. Acinetobacter bacteria can survive for a long time on surfaces and equipment, and those working in healthcare or receiving treatment are in the highest risk category.
The prevalence of this type of bacteria increases in relation to the use of medical equipment, such as ventilators and catheters, as well as antibiotic treatments.
WHO Report Validates EARS-Net Research
In December of 2022, the World Health Organization (WHO) issued a Global Antimicrobial Resistance and Use Surveillance System (GLASS) report that revealed the presence of an increasing resistance to antibiotics in some bacterial infections. That report showed high levels (above 50%) of resistance in bacteria that frequently caused bloodstream infections in hospitals, such as Klebsiella pneumonia and Acinetobacter.
The WHO report examined data collected during 2020 from 87 different countries and found that common bacterial infections are becoming increasingly resistant to treatments. Both Klebsiella pneumoniae and Acinetobacter can be life threatening and often require treatment with strong antibiotics, such as carbapenems.
More research is needed to determine the reasons behind increases in Acinetobacter infections as reported in European hospitals and other healthcare settings, and to ascertain the extent to which they are related to hospitalizations and the upsurge in antimicrobial resistance during the COVID-19 pandemic.
Microbiologists and clinical laboratory managers in the US may want to learn more about the fIndings of this European study involving AMR and use those insights to plan accordingly for any future increase in bloodstream infections in this country.
Clinical laboratories and point-of-care settings may have a new diagnostic test if this novel handheld device and related technology is validated by clinical trials
Efforts to develop breath analyzers that accurately identify viral infections, such as SARS-CoV-2 and Influenza, have been ongoing for years. The latest example is ViraWarn from Opteev Technologies in Baltimore, Maryland, and its success could lead to more follow-up PCR tests performed at clinical laboratories.
“Breath is one of the most appealing non-invasive sample types for diagnosis of infectious and non-infectious disease,” said Opteev in its FDA Pre-EUA application. “Exhaled breath is very easy to provide and is less prone to user errors. Breath contains a number of biomarkers associated with different ailments that include volatile organic compounds (VOCs), viruses, bacteria, antigens, and nucleic acid.”
Further clinical trials and the FDA Pre-EUA are needed before ViraWarn can be made available to consumers. In the meantime, Opteev announced that the CES (Consumer Electronic Show) had named ViraWarn as a 2023 Innovation Award Honoree in the digital health category.
“ViraWarn is designed to allow users an ultra-fast and convenient way to know if they are spreading a dangerous respiratory virus. With a continued increase in COVID-19 and a new surge in RSV and influenza cases, we’re eager to bring ViraWarn to market so consumers can easily blow into a personal device and find out if they are positive or negative,” said Conrad Bessemer (above), Opteev President and Co-Founder, in a news release.
Opteev is a subsidiary of Novatec, a supplier of machinery and sensor technology, and a sister company to Prophecy Sensorlytics, a wearable sensors company.
The ViraWarn breath analyzer uses a silk-based sensor that “traces the electric discharge of respiratory viruses coupled with an artificial intelligence (AI) processor to filter out any potential inaccuracies,” according to the news release.
Here is how the breath analyzer (mouthpiece, attached biosensor chamber, and attached printed circuit board chamber) is deployed by a user, according to the Opteev website:
The user turns on the device and an LED light indicates readiness.
The user blows twice into the mouthpiece.
A carbon filter stops bacteria and VOCs and allows virus particles to pass through.
As “charge carriers,” virus particles have a “cumulative charge.”
Electrical data are forwarded to the AI processor.
The AI processer delivers a result.
Within 60 seconds, a red signal indicates a positive presence of a virus and a green signal indicates negative one.
“The interaction of the virus with a specially designed liquid semiconductive medium, or a solid polymer semiconductor, generates changes in the conductivity of the electrical biosensor, which can then be picked up by electrodes. Such electrical data can be analyzed using algorithms and make a positive or negative call,” explains an Opteev white paper on the viral screening process.
While the ViraWarn breath analyzer can identify the presence of a virus, it cannot distinguish between specific viruses, the company noted. Therefore, a clinical laboratory PCR test is needed to confirm results.
Other Breath Tests
Opteev is not the only company developing diagnostic tests using breath samples.
For clinical laboratory managers and pathologists, Opteev’s ViraWarn is notable in breath diagnostics development because it is a personal hand-held tool. It empowers people to do self-tests and other disease screenings, all of which would need to be confirmed with medical laboratory testing in the case of positive results.
Further, it is important to understand that consumers are the primary target for this novel diagnostic device. This is consistent with investor-funding companies wanting to develop testing solutions that can be used by consumers. At the same time, a device like ViraWarn could be used by clinical laboratories in their patient service centers to provide rapid test results.
Clinical laboratory scientist who aided in the investigation compared DNA test results with publicly available genetic information
In an interesting twist in the solving of crime, genetic test results—along with help from a clinical laboratory scientist (CLS) turned amateur genealogist—guided relatives of Melissa Highsmith to her whereabouts after she was allegedly kidnapped as a toddler over half a century ago. According to The Guardian, the CLS helped locate Melissa by “interpreting the key DNA results and mining publicly available records.”
Highsmith’s abduction was one of the oldest missing person cases in the country and demonstrates how clinical laboratory skills can be applied outside the laboratory to help solve other problems—in this case, helping a family search for a kidnapped daughter—using genetic testing technologies that until recently were not available to the general public.
Thanks to a 23andMe at-home DNA test—and a tenacious clinical laboratory scientist/amateur genealogist—Melissa Highsmith (shown above at time of kidnapping and today) has been reunited with her birth family. This shows how genetic testing is being used in remarkable ways outside of the clinical laboratory. (Photo copyright: Highsmith family/People.)
Thanksgiving Reunion
Back in 1971, Melissa’s mother, Alta Apantenco, placed an advertisement in a local newspaper in Fort Worth, Texas, to hire a babysitter to care for her 21-month-old daughter. Apantenco hired Ruth Johnson to babysit her daughter without meeting the woman in person. Because Apantenco had to be at work, the child was handed over to Johnson by Apantenco’s roommate. The babysitter then allegedly abducted Melissa and disappeared with her.
Melissa’s family reported her missing to the police and searched for the snatched baby for more than 51 years. The family even organized a Facebook page called “Finding Melissa Highsmith” and sought outside assistance from the National Center for Missing and Exploited Children (NCMEC) in locating their lost relative, according to the New York Post.
The police and the FBI also got involved in the case, but few leads emerged over the decades.
Then, in September of 2022, Melissa’s family received a new lead regarding her location based on her father’s 23andMe DNA test results. Those results, along with a birthmark and date of birth, confirmed that Melissa was alive and well and residing in the Charleston, South Carolina area.
Over Thanksgiving weekend, Melissa was reunited with her mother, her father Jeffrie Highsmith, and two of her four siblings at a church in Fort Worth. She hopes to meet her remaining two siblings over the Christmas holidays.
“I can’t describe my feelings. I’m so happy to see my daughter that I didn’t ever think I would see again,” Apantenco told Saint Paul, Minnesota, television station KSTP.
“I couldn’t stop crying,” said Melissa’s sister Victoria Garner in a family statement. “I was overjoyed, and I’m still walking around in a fog trying to comprehend that my sister [was] right in front of me and that we found her,” The Guardian reported.
Clinical Laboratory Scientist Aids in the Investigation
The 23andMe test results alerted the family to the existence of a few unknown relatives that could be connected to the DNA of Melissa’s father. The family then contacted a genealogist and clinical laboratory scientist from Minnesota named Lisa Jo Schiele to help them interpret the results and potentially locate the missing woman. Schiele compared the DNA results with public records to help find Melissa Highsmith.
“I was able to use what we call traditional genealogy to find marriage records and things like that to find where Melissa was right now,” Schiele told KSTP. “At first glance, you look at these matches, but I’m like, ‘Holy cow, is this too good to be true?’ I’m very happy to help them navigate all of this.”
One of Melissa’s sisters, Sharon Highsmith, stated that her mother experienced deep feelings of guilt after Melissa’s abduction and had even faced accusations that she had something to do with the disappearance of her daughter.
“My mom did the best she could with the limited resources she had. She couldn’t risk getting fired, so she trusted the person who said they’d care for her child,” Sharon said in a family statement. “I’m grateful we have vindication for my mom,” The Guardian reported.
“I keep having to pinch myself to make sure I’m awake,” Melissa, who now resides in Fort Worth, told KSTP.
“It’s a miracle,” Apantenco said.
“A Christmas miracle,” Melissa added.
Due to the statute of limitations, which expired 20 years after Melissa turned 18, the babysitter who allegedly took Melissa cannot be criminally prosecuted.
“I’m angry our family was robbed for 51 years,’’ Melissa told Fort Worth news station WFAA.
This remarkable story illustrates how clinical laboratory skills combined with genetic testing results can be used outside of medical laboratory testing purposes to aid in solving criminal cases and other mysteries involving missing people.
Further advances in DNA testing combined with genetic databases that include DNA from greater numbers of people could result in more reunions involving missing persons who were identified because of genetic matching.
Researchers at the university suggested their findings could lead to new genetic tests that could be offered by medical laboratories
New research conducted at the University of Utah suggests that clinical laboratories may someday be able to deploy genetic tests to indicate whether a couple has a higher-than-average risk of stillbirth.
This is yet another example of how researchers are cracking DNA’s code to understand how certain gene variants may affect the healthcare of offspring. The knowledge produced by this research, as confirmed by additional studies, may lead to genetic markers that medical laboratories can use to diagnose the risk of stillbirth using the parent’s DNA.
“Stillbirth is one of those problems that is so tragic and life-changing,” said study co-author Jessica Page, MD (above). “It is especially frustrating when you don’t have a good answer for why it happens. This knowledge may give us the opportunity to change how we risk stratify people and reduce their risk through prevention.” Should this research be validated, clinical laboratories may soon have new genetics tests to help doctors identify risk for stillbirth. (Photo copyright: Intermountain Healthcare.)
Can Stillbirth be Prevented?
Jessica Page, MD, an assistant professor in the Department of Obstetrics and Gynecology at the University of Utah School of Medical and co-author of the 2022 study, was lead author of a 2018 study that estimated nearly one-fourth of stillbirths are preventable.
“Stillbirth rate reduction has been slow in the US and we think many stillbirths may be potentially preventable,” she said in a university press release. “This is motivating us to look for those genetic factors so we can achieve more dramatic rate reduction.”
According to the press release, the University of Utah researchers found that stillbirth “can be inherited and tends to be passed down through male members of the family. That risk preferentially comes from the mother’s or father’s male relatives—their brothers, fathers, grandfathers, uncles, or male cousins. But the odds of a couple losing a baby to stillbirth are even greater when the condition comes from the father’s side of the family.”
The researchers made this discovery by analyzing data from the Utah Population Database (UPDB), which contains information on eight million people who were born in the state or have other connections there. The database is maintained by the Huntsman Cancer Institute at the University of Utah. It includes genealogical information and health records that allowed the researchers to trace incidence of stillbirths across multiple generations of families.
The researchers examined 9,404 stillbirth cases between 1978 and 2019, along with 18,808 live births that served as controls. They identified 390 multi-generational families with high numbers of stillbirths. Within that group, they looked at incidence of stillbirth among first-, second-, and third-degree relatives of stillborn babies. They then compared those numbers with data from unaffected families.
“We were able to evaluate multigenerational trends in fetal death as well as maternal and paternal lineages to increase our ability to detect a familial aggregation of stillbirth,” said genetic epidemiologist Tsegaselassie Workalemahu, PhD, lead author of the study. “Not many studies have examined inherited genetic risk for stillbirth because of a lack of data. The Utah Population Database allows for a more rigorous evaluation than has been possible in the past.”
Workalemahu described the research as “an important step toward identifying specific genes that increase the risk of stillbirth, which could one day lead to better diagnosis and prevention,” according to the university press release.
One caveat, the press release notes, is that Utah’s population is disproportionately of northern European descent. “Future studies will need to determine whether the trends hold true among people of different races and ethnicities,” it stated.
Call for More Testing
The University of Utah study is part of a larger effort to gain a greater understanding of the causes of stillbirths.
The story notes that “more than 20,000 pregnancies in the US end in stillbirth,” and in one in three of those cases, the cause is not determined.
Drucilla Roberts, MD, an obstetric and perinatal pathologist at Massachusetts General Hospital (MGH), told ProPublica that at a minimum, “the placenta should definitely be evaluated in every stillbirth.” But citing CDC data, the story notes that this is done in only 65% of stillbirths, and autopsies are performed in less than 20%.
“Experts blame the low rates on several factors,” the story states. “Because an autopsy often is performed in the days following a stillbirth, doctors and nurses have to ask families soon after they receive news of the death if they would like one. Many families can’t process the loss, let alone imagine their baby’s body being cut open. What’s more, many doctors aren’t trained in the advantages of an autopsy, or in communicating with parents about the exam.”
One consequence, ProPublica notes, is that clinicians are ill-equipped to advise patients on how to reduce risk in future pregnancies. The story describes the case of Karen Gibbins, MD, a maternal-fetal medicine specialist and an assistant professor of obstetrics and gynecology at the Oregon Health and Science University (OHSU) in Portland.
An Opportunity for Pathologists
Gibbins’ son was stillborn in 2018. She asked for an autopsy and learned that her son “had a rare disease caused by her antibodies attacking the cells in his liver,” the story states. When she became pregnant again, her doctor prescribed antibody infusions and she later gave birth to a healthy son. “If we had not had that autopsy, my third child would have died as well,” she told ProPublica.
This parent’s comment about the value of the autopsy done after her son’s stillbirth identifies an opportunity for the pathology profession. For several decades, health plans have become ever more reluctant to pay for autopsies. Yet, pathologists know the value that autopsies can provide.
The immediate value comes from revealing useful insights about all the health conditions of the deceased. The long-term value comes from the ability to gather the findings across a large number of autopsies that can contribute to new knowledge about health conditions that physicians use to improve the diagnoses of different health conditions.
Thus, with the publication of this peer-reviewed study about the connection between genetic variations and stillbirth, there is the opportunity for some of the nation’s pathology societies to advocate for funding a pilot program to fund more autopsies of stillborn babies, specifically to add more knowledge about the role of gene mutations as a causative factor in stillbirths.
OIG warns that without adequate clinical laboratory testing healthcare organizations could see more deaths and increased spending
Clinical laboratory leaders and pathologists know that lab test volume decreased dramatically during the early months of the COVID-19 pandemic. That was primarily because community lockdowns stopped people from seeing their doctors for the standard range of chronic health conditions, many of which require clinical laboratory tests for diagnosis and chronic disease management.
• 24% reduction in Medicare Part B test volumes in March • 53% in April • 30% in May
The decline of Medicare patients visiting clinical laboratories continued through the balance of 2020. During the first 10 months of the pandemic—March through December 2020—Medicare beneficiaries who pursued lab testing decreased by about 9% compared to the same 10-month period in 2019, according to a news release.
This is a strong indicator that the government’s response to the pandemic had a measurable effect on clinical laboratory testing volume among all age groups, especially among the elderly.
“The cumulative decline in lab test volume across all client labs for [March 9 to April 12] was just over 40%. But in that time, some of our lab customers were hit with a decline of maybe 50% to 60% in test volume,” Kyle Fetter (above), COO, XIFIN, told The Dark Report in 2020. Clinical laboratory testing that originates from a routine patient visit to a doctor—such as blood testing—may have been affected the most, Fetter explained. (Photo copyright: XIFIN.)
Clinical Laboratory Tests Key to Well-being of Patients with Chronic Conditions
The OIG study was limited to Medicare beneficiaries and thus did not provide information about testing fall-off among people who have private health insurance. But in “From Mid-March, Labs Saw Big Drop in Revenue,” Dark Daily’s sister publication The Dark Report reported early in 2020 on a 40% decline in test volumes and the pandemic’s varying effects on clinical labs, anatomic pathology (AP) groups, and AP subspecialties.
The OIG’s Report in Brief on its study recognized that medical laboratory testing is critical to helping healthcare providers manage chronic conditions that affect patients’ well-being and increase their healthcare costs.
“Lab tests are important for beneficiaries with chronic medical conditions, which are associated with hospitalizations, billions of dollars in Medicare costs, and deaths,” the OIG said.
“The information may be useful to stakeholders involved in ensuring that beneficiaries avoid the potential bad outcomes that may result from missing or delaying appropriate care,” the report noted.
Overall, 23.7 million Medicare beneficiaries received medical laboratory tests during the first 10 months of the pandemic, down 2.4 million from 26.1 million in 2019, the OIG reported.
Overall Medicare lab test volume and spending also declined during the reported period:
Part B clinical laboratory tests for Medicare beneficiaries decreased 15% from 419.9 million tests in 2019 to 358.4 million tests in the first 10 months of the pandemic.
Medicare spending for these tests decreased 16% from $6.6 billion in 2019 to $5.5 billion during the first 10 months of the pandemic.
“OIG’s audit of Part B clinical laboratory tests, reimbursed under the Clinical Laboratory Fee Schedule (CLFS) is a useful benchmark for how Medicare beneficiaries received fewer lab tests during the pandemic, especially during the early months,” said Robert Michel, Editor-in-Chief of Dark Daily and The Dark Report.
Medical Laboratory Tests That Were Down Most During COVID-19
The following 10 clinical laboratory tests experienced a 10% or more decline in Medicare beneficiaries seeking them during the pandemic period as compared to pre-pandemic, according to the OIG report:
Comprehensive urine culture test fell 16% to three million Medicare patients.
Uric acid level blood down 13% to 1.9 million Medicare beneficiaries.
Evaluation of antimicrobial drug decreased 17% to 1.74 million Medicare patients.
Folic acid level down 12% to 1.73 million Medicare beneficiaries.
Urinalysis manual test plunged 28% to 1.4 million Medicare patients.
Beyond Medicare, Clinical Laboratory Test Volume Dropped 40%
OIG was not the only organization to analyze medical laboratory testing volume during the pandemic’s early phase.
The Dark Report correlated data tracked by XIFIN, a San Diego-based health information technology (HIT) company providing revenue cycle management services to clinical laboratories and pathology groups. XIFIN’s collected data showed a steep drop in routine test volume as COVID-19 testing ramped up.
“Starting in the third week of March, we saw medical laboratories suffer a sharp drop in routine testing. But at about the same time, many labs began to offset those revenue losses with testing for the novel coronavirus,” Kyle Fetter, XIFIN’s then Executive Vice President and General Manager of Diagnostic Services told The Dark Report in 2020. Fetter is now XIFIN’S Chief Operating Officer.
“Over four weeks beginning March 9, we saw a cumulative drop of over 40% in test volume from all of our lab clients,” he added.
According to XIFIN’s data, lab specialty organizations experienced the following drop in routine testing during the period March 9 to April 16, 2020:
58% at clinical laboratories.
61% at hospital outreach laboratories.
52% at molecular and genetic testing laboratories.
44% at anatomic pathology (AP) groups.
70% to 80% at AP dermatology and other AP subspecialties.
Many medical laboratories are still recovering from the COVID-19 pandemic’s effects on testing volume.
Notably, the OIG’s report acknowledges the importance of adequate clinical laboratory testing and declares that—without these essential lab tests to manage some healthcare conditions—the healthcare industry could see increased morbidity, deaths, and Medicare spending.
Google designed the suite to ease radiologists’ workload and enable easy and secure sharing of critical medical imaging; technology may eventually be adapted to pathologists’ workflow
Clinical laboratory and pathology group leaders know that Google is doing extensive research and development in the field of cancer diagnostics. For several years, the Silicon Valley giant has been focused on digital imaging and the use of artificial intelligence (AI) algorithms and machine learning to detect cancer.
Now, Google Cloud has announced it is launching a new medical imaging suite for radiologists that is aimed at making healthcare data for the diagnosis and care of cancer patients more accessible. The new suite “promises to make medical imaging data more interoperable and useful by leveraging artificial intelligence,” according to MedCity News.
In a press release, medical technology company Hologic, and healthcare provider Hackensack Meridian Health in New Jersey, announced they were the first customers to use Google Cloud’s new suite of medical imaging products.
“Hackensack Meridian Health has begun using it to detect metastasis in prostate cancer patients earlier, and Hologic is using it to strengthen its diagnostic platform that screens women for cervical cancer,” MedCity News reported.
“Google pioneered the use of AI and computer vision in Google Photos, Google Image Search, and Google Lens, and now we’re making our imaging expertise, tools, and technologies available for healthcare and life sciences enterprises,” said Alissa Hsu Lynch (above), Global Lead of Google Cloud’s MedTech Strategy and Solutions, in a press release. “Our Medical Imaging Suite shows what’s possible when tech and healthcare companies come together.” Clinical laboratory companies may find Google’s Medical Imaging Suite worth investigating. (Photo copyright: Influencive.)
.
Easing the Burden on Radiologists
Clinical laboratory leaders and pathologists know that laboratory data drives most healthcare decision-making. And medical images make up 90% of all healthcare data, noted an article in Proceedings of the IEEE (Institute of Electrical and Electronics Engineers).
More importantly, medical images are growing in size and complexity. So, radiologists and medical researchers need a way to quickly interpret them and keep up with the increased workload, Google Cloud noted.
“The size and complexity of these images is huge, and, often, images stay sitting in data siloes across an organization,” said Alissa Hsu Lynch, Global Lead, MedTech Strategy and Solutions at Google, told MedCity News. “In order to make imaging data useful for AI, we have to address interoperability and standardization. This suite is designed to help healthcare organizations accelerate the development of AI so that they can enable faster, more accurate diagnosis and ease the burden for radiologists,” she added.
According to the press release, Google Cloud’s Medical Imaging Suite features include:
Imaging Storage: Easy and secure data exchange using the international DICOM (digital imaging and communications in medicine) standard for imaging. A fully managed, highly scalable, enterprise-grade development environment that includes automated DICOM de-identification. Seamless cloud data management via a cloud-native enterprise imaging PACS (picture archiving and communication system) in clinical use by radiologists.
Imaging Lab: AI-assisted annotation tools that help automate the highly manual and repetitive task of labeling medical images, and Google Cloud native integration with any DICOMweb viewer.
Imaging Datasets and Dashboards: Ability to view and search petabytes of imaging data to perform advanced analytics and create training datasets with zero operational overhead.
Imaging AI Pipelines: Accelerated development of AI pipelines to build scalable machine learning models, with 80% fewer lines of code required for custom modeling.
Imaging Deployment: Flexible options for cloud, on-prem (on-premises software), or edge deployment to allow organizations to meet diverse sovereignty, data security, and privacy requirements—while providing centralized management and policy enforcement with Google Distributed Cloud.
First Customers Deploy Suite
Hackensack Meridian Health hopes Google’s imaging suite will, eventually, enable the healthcare provider to predict factors affecting variance in prostate cancer outcomes.
“We are working toward building AI capabilities that will support image-based clinical diagnosis across a range of imaging and be an integral part of our clinical workflow,” said Sameer Sethi, Senior Vice President and Chief Data and Analytics Officer at Hackensack, in a news release.
The New Jersey healthcare network said in a statement that its work with Google Cloud includes use of AI and machine learning to enable notification of newborn congenital disorders and to predict sepsis risk in real-time.
Hologic, a medical technology company focused on women’s health, said its collaboration integrates Google Cloud AI with the company’s Genius Digital Diagnostics System.
“By complementing our expertise in diagnostics and AI with Google Cloud’s expertise in AI, we’re evolving our market-leading technologies to improve laboratory performance, healthcare provider decision making, and patient care,” said Michael Quick, Vice President of Research and Development and Innovation at Hologic, in the press release.
Hologic says its Genius Digital Diagnostics System combines AI with volumetric medical imaging to find pre-cancerous lesions and cancer cells. From a Pap test digital image, the system narrows “tens of thousands of cells down to an AI-generated gallery of the most diagnostically relevant,” according to the company website.
Hologic plans to work with Google Cloud on storage and “to improve diagnostic accuracy for those cancer images,” Hsu Lynch told MedCity News.
Medical image storage and sharing technologies like Google Cloud’s Medical Imaging Suite provide an opportunity for radiologists, researchers, and others to share critical image studies with anatomic pathologists and physicians providing care to cancer patients.
One key observation is that the primary function of this service that Google has begun to deploy is to aid in radiology workflow and productivity, and to improve the accuracy of cancer diagnoses by radiologists. Meanwhile, Google continues to employ pathologists within its medical imaging research and development teams.
Assuming that the first radiologists find the Google suite of tools effective in support of patient care, it may not be too long before Google moves to introduce an imaging suite of tools designed to aid the workflow of surgical pathologists as well.
