HIMSS names SMC a ‘world leader’ in digital pathology and awards the South Korean Healthcare provider Stage 7 DIAM status
Anatomic pathologists and clinical laboratory managers in hospitals know that during surgery, time is of the essence. While the patient is still on the surgical table, biopsies must be sent to the lab to be frozen and sectioned before going to the surgical pathologist for reading. Thus, shortening time to answer for frozen sections is a significant benefit.
This effort in surgical pathology is part of a larger story of the digital transformation underway across all service lines at this hospital. For years, SMC has been on track to become one of the world’s “intelligent hospitals,” and it is succeeding. In February, SMC became the first healthcare provider to achieve Stage 7 in the HIMSS Digital Imaging Adoption Model (DIAM), which “assesses an organization’s capabilities in the delivery of medical imaging,” Healthcare IT News reported.
As pathologists and clinical laboratory leaders know, implementation of digital pathology is no easy feat. So, it’s noteworthy that SMC has brought together disparate technologies to reduce turnaround times, and that the medical center has caught the eye of leading health information technology (HIT) organizations.
“The digital pathology system established by the pathology department and SMC’s information strategy team could be one of the good examples of the fourth industrial revolution model applied to a hospital system,” anatomic pathologist Kee Taek Jang, MD (above), Professor of Pathology, Sungkyunkwan University School of Medicine, Samsung Medical Center told Healthcare IT News. Clinical laboratory leaders and surgical pathologists understand the value digital pathology can bring to faster turnaround times. (Photo copyright: Samsung Medical Center.)
Anatomic Pathologists Can Read Frozen Sections on Their Smartphones
Prior to implementation of its 5G digital pathology system, surgeons and their patients waited as much as 20 minutes for anatomic pathologists to traverse SMC’s medical campus to reach the healthcare provider’s cancer center diagnostic reading room, Healthcare IT News reported.
Now, SMC’s integrated digital pathology system—which combines slide scanners, analysis software, and desktop computers with a 5G network—has enabled a “rapid imaging search across the hospital,” Healthcare IT News noted. Surgical pathologists can analyze tissue samples faster and from remote locations on digital devices that are convenient to them at the time, a significant benefit to patient care.
“The system has been effective in reducing the turnaround time as pathologists can now attend to frozen test consultations on their smartphone or tablet device via 5G network anywhere in the hospital,” Jean-Hyoung Lee, SMC’s Manager of IT Infrastructure, told Healthcare IT News which noted these system results:
TAT decreased from 20 minutes to 10 minutes.
Transferring scans of large frozen tissues up to three gigabyte in size is now possible through the 5G network.
Additionally, through the 5G network, pathologists can efficiently access CT scans and MRI data on proton therapy cancer treatments. Prior to the change, the doctors had to download the image files in SMC’s Proton Therapy Center, according to a news release from KT Corporation, a South Korean telecommunications company that began working with SMC on building the 5G-connected digital pathology system in 2019.
DIAM is an approach for gauging an organization’s medical imaging delivery capabilities. To achieve Stage 7—External Image Exchange and Patient Engagement—healthcare providers must also have achieved all capabilities outlined in Stages 5 and 6.
In addition, the following must also have been adopted:
The majority of image-producing service areas are exchanging and/or sharing images and reports and/or clinical notes based on recognized standards with care organizations of all types, including local, regional, or national health information exchanges.
The application(s) used in image-producing service areas support multidisciplinary interactive collaboration.
Patients can make appointments, and access reports, images, and educational content specific to their individual situation online.
Patients are able to electronically upload, download, and share their images.
“This is the most comprehensive use of integrated digital pathology we have seen,” Andrew Pearce, HIMSS VP Analytics and Global Advisory Lead, told Healthcare IT News.
SMC’s Manager of IT Planning Seungho Lim told Healthcare IT News the medical center’s goal is to become “a global advanced intelligent hospital through digital health innovation.” The plan is to offer, he added, “super-gap digital services that prioritize non-contact communication and cutting-edge technology.”
For pathologists and clinical laboratory leaders, SMC’s commitment to 5G to move digital pathology data is compelling. And its recognition by HIMSS could inspire more healthcare organization to make changes in medical laboratory workflows. SMC, and perhaps other South Korean healthcare providers, will likely continue to draw attention for their healthcare IT achievements.
Recent intrusions into the hospitals’ IT systems resulted in blocked medical records including medical laboratory data
Healthcare cyberattacks continue to be a threat that bring potentially costly business consequences for clinical laboratories. Just in the past month, two hospital systems had their health information technology (HIT) systems disrupted due to security incidents. In response, the hospitals’ medical laboratories were forced to switch from digital to paper documentation and, in at least one case, the organization reportedly had difficulty accessing electronic laboratory test results.
At Tallahassee Memorial, an “IT security issue” on Feb. 2 resulted in the organization shutting down its IT systems for 13 days, including at its clinical laboratory. The hospital’s computer network went back online on Feb. 15, according to a news release.
At Atlantic General Hospital, according to an AGH news release, IT personnel discovered a ransomware attack on Jan. 29 that affected the hospital’s central computer system. As a result, the walk-in outpatient laboratory was closed until Feb. 14.
These recent cyberattacks underscore the importance for clinical laboratory leaders to have plans and procedures already in place prior to a disruption in access to critical patient data.
Healthcare cyberattacks can be a “complete blindside for a lot of organizations that think they have protections in place because they bought a product or they developed a policy,” said Ben Denkers (above), Chief Innovation Officer at CynergisTek, an Austin, Texas-based cybersecurity company, in an exclusive interview with The Dark Report. Since clinical laboratory test results make up about 80% of a patient’s medical records, disruption of a hospital’s IT network can be life threatening. (Photo copyright: The Dark Report.)
Laboratory Staff Unable to View Digital Diagnostic Results at Tallahassee Memorial
Though the exact nature of the incident at Tallahassee Memorial HealthCare has not been divulged, hospital officials did report the incident to law enforcement, which suggests a cyberattack had occurred.
Electronic laboratory test results were among the casualties of the IT difficulties at TMH. “Staff have been unable to access digital patient records and lab results because of the shutdown,” a source told CNN.
Attempts by Dark Daily to reach a medical laboratory manager for comment at TMH were unsuccessful. However, in a news release posted online shortly after the cyberattack, the health system advised staff members on dealing with the IT outages.
“Patients and families may notice the switch to paper documentation during registration, admission, or during their care, as our providers will be using paper forms, prescription pads, handwritten notes, or other similar paper methods where they may usually use an electronic process,” the news release stated. “We apologize for any delays this may create. We practice for situations like this, and we are prepared to provide safe, high-quality care to our patients during computer system downtimes.”
Atlantic General Hospital Reports Ransomware Incident to the FBI
At Atlantic General Hospital, the outpatient walk-in laboratory and outpatient imaging department both temporarily closed because of the ransomware attack.
Staff members throughout the hospital were “forced to manually check patients in and out of appointments and record all other information by hand instead of online,” Ocean City Today reported.
The hospital immediately informed the FBI of the ransomware incident and continues to work with an incident response team to determine whether criminals accessed any sensitive data. It was not clear whether the organization ultimately paid a ransom to unlock its systems.
The hospital’s medical laboratory director did not respond to an email from Dark Daily seeking further comment.
Healthcare Cyberattacks Attempt to Gain Access to Data
Therefore, it is critical that clinical laboratory and hospital staff work with their IT counterparts to verify that technology and processes are in place to protect access to patient data.
In “Labs Must Audit Their Cybersecurity Measures,” Ben Denkers, who at that time was Chief Innovation Officer at CynergisTek, a cybersecurity firm based in Austin, Texas, told The Dark Report, “Testing, validating, and auditing whether measures are working as designed is a change of mentality for a lot of organizations.” (If you don’t subscribe to The Dark Report, try our free trial.)
An IT network attack is an attempt by a cybercriminal to gain unauthorized access to devices that contain and exchange data within an organization. Although this information may be on individual devices or on servers, network attacks are often only possible after a hacker enters a system through an endpoint, such as an individual’s email inbox.
“It’s important to understand that while the network server itself might have ultimately been the target, that doesn’t necessarily mean that it was compromised first,” Denkers told The Dark Report. “Phishing is a perfect example of a way an attacker could first gain access to a workstation, and then from there move laterally to a server.”
The final cost of a healthcare cyberattack often exceeds the ransom. Media coverage can lead to an organization’s diminished reputation within the community, and if protected health information (PHI) is accessed by the criminals, a hospital or health system may need to pay for identity theft monitoring for affected patients.
There also are regulatory repercussions that can be costly depending on the circumstances surrounding a cyberattack. For example, on Feb. 2, the US Department of Health and Human Services’ Office for Civil Rights announced a settlement with Banner Health Affiliated Covered Entities (Banner Health), a nonprofit health system headquartered in Phoenix, to resolve a data breach resulting from a hacking incident in 2016. That incident disclosed PHI for 2.81 million patients.
As part of the settlement, Banner Health paid a $1.25 million penalty and will carry out a corrective action plan to protect PHI in the future and resolve any alleged HIPAA violations, according to the HHS Office for Civil Rights.
This hefty penalty is a reminder to pathologists and clinical laboratory managers that—when it comes to cyberattacks—the classic adage “an ounce of prevention is worth a pound of cure” is appropriate advice.
“The SDPR will consolidate geographically fragmented EMR, PAS, and LIMS systems to create a detailed lifelong patient record and deliver cost savings,” NSW Health said in a news release.
NSW Health is the largest public health system in Australia with more than 220 public hospitals, 16 Local Health Districts, and three Specialty Networks. NSW Health Pathology operates more than 60 pathology laboratories (clinical laboratories in the US) and has 150 patient service centers.
“While this initiative will provide untold benefits to all the patients of NSW, we are excited about its potential for improving the health outcomes of our regional patients,” said Andrew Montague (above), former Chief Executive, Central Coast Local Health District in a press release. “By enabling greater collaboration across all local health districts and specialty health networks, the Single Digital Patient Record will provide clinicians with even better tools to keep the patient at the center of everything we do.” This project is more market evidence of the trend to bring clinical laboratory test results from multiple lab sites into a single data repository. (Photo copyright: Coast Community News.)
Cloud-based Realtime Access to Patient Records
Australia has a population of about 26 million and New South Wales, a state on the east coast, is home to more than eight million people. Though the scale of healthcare in Australia is much smaller than in the US, this is still a major project to pull patient data together from all the NSW hospitals, physicians’ offices, and other healthcare providers such as clinical laboratories and pathology practices.
With the change, NSW clinicians will benefit from a cloud–based system offering up real-time access to patients’ medical records, NSW Health Pathology Chief Executive Tracey McCosker told ITnews.
“Patients and our busy staff will benefit from clinical insights gained from the capture of important new data. Our work in pathology is vital to the diagnostic process and developing a statewide laboratory information management system will ensure we provide the best possible services,” McCosker told ITnews.
The KLAS Research report, “US Hospital Market Share 2022,” states that Epic, located in Verona, Wisconsin, has the largest US electronic health record (EHR) market share, Healthgrades noted. According to KLAS:
NSW Health’s decision to engage Epic came after a process involving 350 clinicians, scientists, and technical experts, Zoran Bolevich, MD, Chief Executive of eHealth NSW and NSW Health’s Chief Information Officer, told ITnews.
NSW Health’s Goal for Statewide Digital Patient Record
It was in December 2020 when NSW Health announced its plan to create the SDPR.
“Our vision is to be able to provide a single, holistic, statewide view of every patient—and for that information to be readily accessible to anyone involved in the patient’s care,” Bolevich said in the news release.
The SDPR, according to NSW Health, will address the following:
Challenges:
Current systems not connected statewide.
Inaccessible patient data.
Duplicative data collection.
Gaps in decision-making.
Goals:
Improve health outcomes.
Create patient centricity.
Leverage insights.
NSW’s government has already invested more than $106 million in the SDPR, Healthcare IT News reported.
Other Large EHR Rollouts
NSW Health is not the only large organization to take on such an ambitious project of creating a large-scale digital patient record. And not always to a successful conclusion.
The US Department of Veterans Affairs (VA)—also intent on EHR modernization—recently announced it is suspending roll-out of the Oracle Cerner EHR at VA centers until June 2023 to address technical issues affecting appointments, referrals, and test results.
Four VA centers in Washington, Oregon, and Ohio already went live with the system in 2022.
“We are delaying all future deployments of the new EHR while we fully assess performance and address every concern. Veterans and clinicians deserve a seamless, modernized health record system, and we will not rest until they get it,” said Deputy Secretary of Veterans Affairs Donald Remy, JD, in a news release.
For its part, Oracle Cerner wrote federal lawmakers noting the importance of continuing the project, which will move the VA away from its former VistA health information system.
“Modernization requires change and some short-term pain for the long-term benefits of a modern technology infrastructure,” noted Oracle Cerner Executive Vice President Ken Glueck in the letter, Becker’s Health IT reported. “A modernization project of this scale and scope necessarily involves time to untangle the decades of customized processes established in support of VistA, which inevitably involves challenges.”
NSW Health’s goal is to build a single repository of health information—including lab test results from multiple clinical laboratory sites. When finished NSW Health expects that sharing patient data will contribute to producing better healthcare outcomes.
However, the VA’s experience—and several other similar attempts at large-scale electronic patient record installations—suggest the work ahead will not be easy. But for NSW Health, it may be worth the effort.
Researchers find a savings of more than one million dollars and prevention of hundreds, if not thousands, of adverse drug events could have been had with machine learning system
Support for artificial intelligence (AI) and machine learning (ML) in healthcare has been mixed among anatomic pathologists and clinical laboratory leaders. Nevertheless, there’s increasing evidence that diagnostic systems based on AI and ML can be as accurate or more accurate at detecting disease than systems without them.
Dark Daily has covered the development of artificial intelligence and machine learning systems and their ability to accurately detect disease in many e-briefings over the years. Now, a recent study conducted at Brigham and Women’s Hospital (BWH) and Massachusetts General Hospital (MGH) suggests machine learning can be more accurate than existing clinical decision support (CDS) systems at detecting prescription medication errors as well.
The study was partially retrospective in that the
researchers compiled past alerts generated by the CDS systems at BWH and MGH
between 2009-2011 and added them to alerts generated during the active part of
the study, which took place from January 1, 2012 to December 31, 2013, for a
total of five years’ worth of CDS alerts.
They then sent the same patient-encounter data that generated those CDS alerts to a machine learning platform called MedAware, an AI-enabled software system developed in Ra’anana, Israel.
MedAware was created for the “identification and prevention
of prescription errors and adverse drug effects,” notes the study, which goes
on to state, “This system identifies medication issues based on machine
learning using a set of algorithms with different complexity levels, ranging
from statistical analysis to deep learning with neural networks. Different
algorithms are used for different types of medication errors. The data elements
used by the algorithms include demographics, encounters, lab test results,
vital signs, medications, diagnosis, and procedures.”
The researchers then compared the alerts produced by
MedAware to the existing CDS alerts from that 5-year period. The results were
astonishing.
According to the study:
“68.2% of the alerts generated were unique to
the MedAware system and not generated by the institutions’ CDS alerting system.
“Clinical outlier alerts were the type least
likely to be generated by the institutions’ CDS—99.2% of these alerts were
unique to the MedAware system.
“The largest overlap was with dosage alerts,
with only 10.6% unique to the MedAware system.
“68% of the time-dependent alerts were unique to
the MedAware system.”
Perhaps even more important was the results of the cost
analysis, which found:
“The average cost of an adverse event
potentially prevented by an alert was $60.67 (range: $5.95–$115.40).
“The average adverse event cost per type of
alert varied from $14.58 (range: $2.99–$26.18) for dosage outliers to $19.14
(range: $1.86–$36.41) for clinical outliers and $66.47 (range: $6.47–$126.47)
for time-dependent alerts.”
The researchers concluded that, “Potential savings of $60.67 per alert was mainly derived from the prevention of ADEs [adverse drug events]. The prevention of ADEs could result in savings of $60.63 per alert, representing 99.93% of the total potential savings. Potential savings related to averted calls between pharmacists and clinicians could save an average of $0.047 per alert, representing 0.08% of the total potential savings.
“Extrapolating the results of the analysis to the 747,985
BWH and MGH patients who had at least one outpatient encounter during the
two-year study period from 2012 to 2013, the alerts that would have been fired
over five years of their clinical care by the machine learning medication
errors identification system could have resulted in potential savings of
$1,294,457.”
Savings of more than one million dollars plus the prevention
of potential patient harm or deaths caused by thousands of adverse drug events
is a strong argument for machine learning platforms in diagnostics and
prescription drug monitoring.
Researchers Say Current Clinical Decision Support Systems
are Limited
Machine learning is not the same as artificial intelligence. ML is a “discipline of AI” which aims for “enhancing accuracy,” while AI’s objective is “increasing probability of success,” explained Tech Differences.
Healthcare needs the help. Prescription medication errors cause patient harm or deaths that cost more than $20 billion annually, states a Joint Commission news release.
CDS alerting systems are widely used to improve patient
safety and quality of care. However, the BWH-MGH researchers say the current
CDS systems “have a variety of limitations.” According to the study:
“One limitation is that current CDS systems are rule-based and can thus identify only the medication errors that have been previously identified and programmed into their alerting logic.
“Further, most have high alerting rates with many false positives, resulting in alert fatigue.”
Commenting on the value of adding machine learning
medication alerts software to existing CDS hospital systems, the BWH-MGH
researchers wrote, “This kind of approach can complement traditional rule-based
decision support, because it is likely to find additional errors that would not
be identified by usual rule-based approaches.”
However, they concluded, “The true value of such alerts is
highly contingent on whether and how clinicians respond to such alerts and
their potential to prevent actual patient harm.”
Future research based on real-time data is needed before machine
learning systems will be ready for use in clinical settings, HealthITAnalytics
noted.
However, medical laboratory leaders and pathologists will
want to keep an eye on developments in machine learning and artificial
intelligence that help physicians reduce medication errors and adverse drug
events. Implementation of AI-ML systems in healthcare will certainly affect
clinical laboratory workflows.
Medical laboratories may find opportunities guiding hospital telehealth service physicians in how clinical lab tests are ordered and how the test results are used to select the best therapies
Telehealth is usually thought of as a way for patients in remote settings to access physicians and other caregivers. But now comes a pair of studies that indicate use of telehealth in inpatient settings is outpacing the growth of telehealth for outpatient services.
This is an unexpected development that could give clinical laboratories new opportunities to help improve how physicians in telehealth services use medical laboratory tests to diagnose their patients and select appropriate therapies.
Dual Surveys Compare Inpatient and Outpatient Telehealth
Service Use
Definitive Healthcare (DH) of Framingham, Mass., is an analytics company that provides data on hospitals, physicians, and other healthcare providers, according to the company’s website. A survey conducted by DH found that use of telehealth solutions—such as two-way video webcams and SMS (short message service) text—has increased by inpatient providers from 54% in 2014 to 85% in 2019, a news release stated.
Meanwhile, a second Definitive Healthcare survey suggests
use of telehealth in outpatient physician office settings remained essentially
flat at 44% from 2018 to 2019, according to another news
release.
For the inpatient report, Definitive Healthcare polled 175 c-suite
providers and health
information technology (HIT) directors in hospitals and healthcare systems.
For the outpatient survey, the firm surveyed 270 physicians and outpatient
facilities administrators.
DH’s research was aimed at learning the status of telehealth
adoption, identifying the type of telehealth technology used, and predicting possible
further investments in telehealth technologies.
Most Popular Inpatient Telehealth Technologies
On the inpatient side, 65% of survey respondents said the most used telehealth mode is hub-and-spoke teleconferencing (audio/video communication between sites), Healthcare Dive reported. Also popular:
Fierce
Healthcarereports that the telehealth technologies showing the largest
increase by hospitals and health networks since 2016 are:
Two-way video/webcam between physician and
patient (70%, up from 47%);
Population health management tools, such as SMS
text (19%, up from 12%);
Remote patient monitoring using clinical-grade
devices (14%, up from 8%);
Mobile apps for concierge services (23%, up from
17%).
“Organizations are finding new and creative ways through telehealth to fill gaps in patient care, increase care access, and provide additional services to patient populations outside the walls of their hospital,” Kate Shamsuddin, Definitive Healthcare’s Senior Vice President of Strategy, told Managed Healthcare Executive.
DH believes investments in telehealth will increase at
hospitals as well as physician practices. In fact, 90% of respondents planning
to adopt more telehealth technology indicated they would likely start in the
next 18 months, the news releases state.
Most Popular Outpatient Telehealth Technologies
In the outpatient telehealth survey, 56% of physician
practice respondents indicated patient portals as the
leading telehealth technology, MedCity
News reported. That was followed by:
Hub-and-spoke teleconferencing (42%);
Concierge services (42%);
Clinical- and consumer-grade remote patient
monitoring products (21% and 12%).
While adoption of telehealth technology was flat over the
past year, 68% of physician practices did use two-way video/webcam technology
between physician and patient, which is up from 45% in 2018, Fierce
Healthcare reported.
The graph above, taken from the Definitive Healthcare 2019 survey, shows the percentage of telehealth use among surveyed outpatient settings. “The results show how telehealth continues to be one of the core linchpins for providers,” Kate Shamsuddin, Definitive Healthcare’s Senior Vice President of Strategy, told Healthcare Dive. (Graphic copyright: Definitive Healthcare.)
MedCity News reports that other telehealth technologies in
use at physician practices include:
Mobile apps for concierge service (33%);
Two-way video between physicians (25%);
SMS population management tools (20%).
Telehealth Reimbursement and Interoperability Uncertain
Why do outpatient providers appear slower to adopt
telehealth, even though they generally have more patient encounters than
inpatient facilities and need to reach out further and more often?
Definitive Healthcare reports that 20% of physician practice
respondents are “satisfied with the practice’s current solutions and services,”
and though telehealth reimbursement is improving, 13% are unsure they will be
reimbursed for telehealth services.
The Centers
for Medicare and Medicaid Services (CMS) states that Medicare
Part B covers “certain telehealth services,” and that patients may be
responsible for paying 20% of the Medicare approved amount. CMS also states
that, effective in 2020, Medicare
Advantage plans may “offer more telehealth benefits,” as compared to
traditional Medicare.
“There is not only a need for more clarity around reimbursement policies, but also a need for more interoperable telehealth solutions that can be accessed through electronic health record or electronic medical record systems, as well as a better understanding about what types of telehealth options are available,” said Jason Krantz (above), CEO, Definitive Healthcare, in the outpatient telehealth survey news release. (Photo copyright: Definitive Healthcare.)
The increase in telehealth use at hospitals—as well as its
increased adoption by physician offices—may provide clinical laboratories with opportunities
to assist telehealth doctors with lab test use and ordering. By engaging in telehealth
technology, such as two-way video between physicians, pathologists also may be
able to help with the accuracy of diagnoses and timely and effective patient
care.
