By Jeff Springer, senior vice president of healthcare solutions, CitiusTech; and Fernando Schwartz, vice president of data science and consulting, CitiusTech.
As consumers, we experience artificial intelligence
(AI) every day. In fact, we’ve come to expect the consumer experience it
enables, such as Amazon’s highly personalized suggestions for additional items
we might like. Now is the time to gain AI’s rewards in healthcare as well. Dr.
Eric Topol, founder and director of Scripps Research Translational Institute,
put it this way: “If properly and humanely deployed, AI has the potential to
restore efficiency to a wide array of burdensome healthcare processes, freeing
up physicians to treat their patients in the way they deserve. The path won’t
be easy, and the end is a long way off. But with the right guard rails,
medicine can get there.” [1]
While there are significant challenges with
interoperability, data sharing, and data access, organizations are taking
several approaches to overcome them. With an incremental approach to data
management and analytics, healthcare organizations can reap the benefits of AI
– specifically machine learning (ML) and natural language processing (NLP) faster,
enabling them to overcome challenges and achieve success in value-based care.
AI
and Its Subsets
First,
it’s important to have a shared understanding of AI concepts. AI is a term used
to describe the ability of machine intelligence to imitate human intelligence
through cognitive functions and behavior. Both ML and NLP are subsets of that broader concept. ML applies
algorithms and statistical models that effectively perform a specific task or
make predictions using patterns and inference. NLP enables computers to
understand, interpret and manipulate human language using computational
linguistics. At the highest level, these tools can be applied in healthcare to
help find the answers to questions and identify root causes—leading to workflow
improvements at a massive scale.
Technology
Advances Speed AI Adoption
Advances in data and analytics technology are making
it possible to significantly reduce implementation time for AI projects. From a
data management perspective, five years ago, it would have taken two years to
implement a strategy and infrastructure for data management needed for AI.
Hence, many organizations applied a project-by-project approach and didn’t take
advantage of the opportunity to reuse data for multiple projects. The results
were data silos and missed opportunities to leverage data across the
enterprise.
Today, new technology and new data approaches
expedite projects from the data, analytics and learning perspectives.
Specifically, today’s late-binding architecture enables organizations to take
only the data needed for a question, metric or pattern, and then curate
additional data as needed. This opens the door for going beyond the standard
healthcare sources, such as claims, HL7, and CCDA, to also include historically
cost-prohibitive data, such as social media, benefit information and
unstructured data. These data sets can be leveraged to determine the most
effective engagement models, risk patterns and communications. Today, if organizations
start by asking the right questions before implementing a new data set, they
could have answers in as little as three months, rather than years. By
leveraging existing infrastructure and data in conjunction with new technology,
organizations can begin to see success more quickly, while building out an
incremental, long-term strategy.
Putting
AI to Work Answering Healthcare Questions
When
organizations take advantage of the new technologies that enable sophisticated
data analytics, they can more easily apply ML and NLP to specific data sets.
Start with a question and determine what data can best provide answers. The
examples to follow illustrate questions organizations might ask to improve
clinical outcomes, revenue assurance, or operational efficiency.
Clinical Best Practices: Using
ML, healthcare organizations can more effectively analyze treatment patterns by
asking questions, such as: What interventions during a clinical encounter help
avoid sepsis? Or how can an ED visit be prevented? Once there is an
understanding of what contributed to positive outcomes, organizations can embed
care protocol improvements within clinical workflows.
Population Health: Again,
using ML, organizations can thoroughly analyze populations, treatment patterns
and results by asking questions, such as: Which segments are having trouble and
how can they be addressed? Are issues arising that are related to geography,
benefit structure, or disease pattern? ML can be applied to sift through many
dimensions and identify root causes. For example, a member of a diabetes
population segment lives within a certain zip code, sees a certain provider,
and is more likely to be readmitted. By asking the right question, variations
in care can be identified, and protocols and workflows can be adjusted to
improve outcomes.
Utilization
Management: Healthcare organizations, especially
ACOs, strive to improve quality while tightly controlling costs. Using ML,
organizations can look for variations in practice patterns across providers,
patients and conditions. From there, organizations can implement protocols that
operationalize utilization management. For example, duplicate exams, such as
expensive MRIs, can be avoided by making recent results available to providers
at the point of care. And providers can be guided to the most cost-effective
location for a given procedure or exam.
Data Aggregation: Even with
standard EMR implementations, there can be tremendous variation in how certain
types of data are captured. For example, data points needed for population
health management may be captured in data fields and as unstructured text.
Using NLP, healthcare organizations can now parse many different types of data
from many sources. This enables access to data for risk-based contracts, such
as social determinants of health like transportation, weight loss, food
insecurity, and electricity.
Apply
AI to Gain Quick Wins in Quality Improvement
With today’s technology, healthcare organizations
can move more quickly to take advantage of AI, especially ML and NLP— seeing
results in months rather than years. With modern data and analytics approaches,
organizations can proceed incrementally to identify questions, metrics or
patterns that deliver quick wins in clinical, financial and administrative
outcomes. At the same time, these achievements contribute to a successful
long-term strategy to continuously improve quality and outcomes while assuring appropriate
payment in today’s value-based care environment.
Few healthcare leaders doubt that insights made available
through precision medicine and genomics have the potential to vastly improve
care and outcomes.
Assaf Halevy
But the industry struggles to overcome numerous barriers
that, at first glance, seem to obstruct providers’ ability to fully leverage precision
medicine. There is no question that obstacles exist, but a well-considered
strategy can help providers move quickly down a forward path.
Let us consider the six primary obstacles to leveraging precision
medicine to its fullest:
Provider education and expertise. Precision medicine, as an
influencer at the point of care, is a nascent discipline. Few physicians
practicing today were thoroughly educated in genomics (the depth of training is
increasing, however, according to a 2017 article in the Association
of American Medical Colleges News).
Physicians find themselves in a position of educating themselves quickly,
especially as the FDA approves more targeted immunotherapies and treatments. In
addition, because of the rise of direct-to-consumer tests, patients themselves
are demanding doctors factor this information into their clinical decision
making.
Slow-to-change standards of care. Without a doubt, delivery of
healthcare must be evidence-based. Genomic science has introduced so many
advances in such a short period of time, however, that many physicians remain
bound by approaches rapidly becoming outdated. The industry must find ways to
deliver new findings into the clinical workflow reliably and quickly, so
providers can utilize the best approach in each patient encounter.
Limited time to process new data. Physicians are already
presented with more data than they can effectively manage. Genomics represents
an entirely new and voluminous data set. To deliver any value, this information
must be rendered useful and readily available within the EHR. Access must be
smooth and seamless so physicians are not forced to leave their workflow to hunt
for relevant insights.
Foreign nomenclature. Currently, genomic results are returned
in PDFs (not as discrete data), rendered in vocabulary common to genomic
researchers and scientists. It must be “translated” into meaningful clinical
nomenclature and then integrated into the current workflow to be fully useable.
Regulatory and liability concerns. Genomic results do not
represent a snapshot in time the way phenotypical information might. A
patient’s genetic variant could impact care decisions well into the future as
the individual’s condition changes and genomic science advances. How does a
provider store and manage genomic data, making sure that its very existence
does not create liability issues in the years ahead?
Lack of or sluggish reimbursement. Payer policies and
guidelines lag behind discoveries related to precision medicine. What
reimbursement exists varies greatly from payer to payer and is founded on
disparate understandings of medical necessity. While payment is becoming more
common, physicians nevertheless must consider the financial impact of ordering
a genomic test – and what they will do if the results indicate that an
expensive or uncommon treatment is the best choice for a particular patient.
Innovation and Strategy
Key to Success
While these issues are complex, they are not insurmountable.
Savvy healthcare leaders are establishing precision medicine strategies today
in recognition that the landscape will become only more complicated.
Visionaries and early adopters are implementing scalable
informatics infrastructure as the backbone of their precision medicine
initiatives. Many of the obstacles above can be addressed by an
enterprise-spanning platform that:
Synthesizes genomic data with clinical
information into an ontology that creates a comprehensive view of the patient.
This compendium can then be delivered through the EHR, presented in a
meaningful vocabulary, where it can be actively used in real-time clinical
decision making. In addition, providers are able to reference evidence for
their decisions, which could help support medical necessity appeals and
short-circuit prior authorization processes.
Delivers fingertip access to multiple curated
knowledge bases. Physicians can re-interrogate a patient’s genomic data against
the latest scientific findings to ensure current standards are followed – now
and far into the future. This also gives physicians access to resources so they
can keep abreast of this rapidly changing field and helps shield them from
future liability.
Enables broad usage of precision medicine tools.
The value of genomic insights is curtailed when data is siloed in a specialty-
or department-specific system. Making functionality available across clinical
areas gives all providers access to data that might impact care and outcomes.
The future of healthcare has been made more exciting because
of precision medicine and genomics. With a well-considered strategy, healthcare
leaders can begin to leverage value today and prepare themselves to be
successful for years to come.
Different factors may necessitate a cosmetic dental procedure. That given, various methods, too, are used to achieve the desired dental appearance. The processes may be undertaken voluntarily or may be as a result of reasons beyond one’s control. Whatever the reason may be, well-respected cosmetic dental clinics Macleod Trail Dental in Calgary has all the know-how and solutions. Their highly trained dentists ensure their clients attain a beautiful and perfect general appearance of the mouth, teeth, and smile. One need not be embarrassed anymore about the deformity of the mouth, teeth, or smile that may be because of:
Accidents
Accidents
could range from serious road carnages to bar brawls and fights. Such accidents
leave the dental structure disfigured to a varying degree, depending on the
impact of the force applied to the mouth. It could lead to a dislocated jaw
bone or just a missing tooth or two.
Whichever
the case, this would mean your teeth and facial appearance aren’t as they were
before. This could also mean difficulty in taking food or a broken, ugly smile.
We need
food and drinks to sustain our body functions and to unwind. However, the
downside of some foods such as blackberries and cherries is that over time,
they cause tooth discoloration. Drinks, too, such as wine and coffee, cause
stained teeth, and so are habits such as smoking.
Though we
can’t abstain from such foods, drinks, and habits, through teeth whitening
procedure, their side effects on the color of the teeth are minimized.
The teeth can, as a result, regain their white color or the shade of white one desires regardless of the food or drink or habit one takes on. One is at least still assured of the benefits of a pearly white smile when one decides to flash one, thanks to teeth whitening.
Birth Defects
Genetics,
together with environmental factors, can result in congenital disabilities such
as cleft lips or cleft palates. Such congenital disabilities not only cause
difficulty in feeding and speech, but also cause dental problems when the cleft
extends to the upper gum, which results in inhibition of tooth development in
the newborn.
However, cleft lips and cleft palates, through a combination of cosmetic dentistry procedures, are easily rectifiable. Through the processes, the general facial appearances and dental functions of the child are significantly improved. Children born with such congenital disability can thus lead a happy, healthy life just like the rest of the children.
Age
Even
though they say old is gold, with old age comes numerous dental challenges that
if not properly taken care of, can remove the gold in old age and replace it
with pain and suffering.
These
dental challenges include weakening of gums leading to falling off of teeth,
damaged enamel, crooked teeth, and other dental cosmetic problems easily solved
through dental veneers.
If you’re in the body-hacking sphere, you’ll surely have
heard people talking about noopept at this point. But then, what exactly is
noopept, and why do people seem to like it so much?
Noopept has a history dating back to 1996, and it has actually been used for some time in Russia as a treatment for age-related cognitive decline. One particular reason why so many people are looking to noopept for its many benefits is that it’s thought to be around 1,000 times more potent than piracetam by weight. Out of all of the current nootropics currently in circulation, it’s one of the more popular nootropics, next to the racetam family.
What does noopept do, precisely?
How noopept works
When an individual takes noopept, reactions occur within the
brain that improves alpha brain wave function. Not sure what that means? Well,
when alpha brain wave function is heightened, people are much more likely to be
able to commit information to memory, recall earlier information they’ve
learned, as well as understand more complex problems and better seek out a
solution.
Also, when someone takes noopept, there’s an increase of
tonic inhibition within the hippocampus, which contributes to increased
feelings of well-being, a reduction in stress, as well as reduced anxiety.
Noopept is also thought to increase various
acetylcholine-dependent processes in the brain, so you’ll notice that many
noopept supplements have some choline bundled in. Take, for example, the noopept
described here: https://www.zachattacksupplements.com/buy-noopept-30mg-choline-50mg-combo-100-capsules/.
The reason for this is it’s thought that the body can more readily make use of
choline after noopept has been consumed.
Are there any side effects?
Surprisingly enough for a chemical that has such significant
cognitive effects, the side effects reported from those who take noopept are
minor, if they appear at all. Some people do, however, report side effects like
irritability, nausea, or insomnia, if taken too close to bedtime.
These side effects are commonly reported by frequent users
of the substance on various public forums, but any study that has taken people
who haven’t used noopept before hasn’t stated any side effects whatsoever,
making it extremely likely that if noopept is used sparingly, there would be an
extremely low chance of encountering any side effects.
It would appear that noopept is extremely tolerated by the
vast majority of people who consume it.
Conclusion
The sciences associated with brain-hacking and the optimization of human functioning are all still in their infancy. Despite the relatively low amount of concrete knowledge, noopept has shown time and time again to be an extremely well-tolerated nootropic with very quantifiable and measurable benefits. Noopept is safe, inexpensive, and most importantly, quite effective.
For many people, noopept is the starting point on their nootropics journey as it’s one of the fastest acting nootropics currently available. Who knows, in the next coming years, noopept might be commonly taken by people at large to keep them at peak mental fitness. Either way, noopept has firmly created a spot for itself in the world of brain-enhancing chemicals.
By Hants Williams, director of clinical operations, VirtualHealth.
Hants Williams (Photo by Marcela Nowak)
The buzz around social determinants of health (SDoH) is making waves across the healthcare industry. Linked to roughly 80 percent of overall health, stakeholders are increasingly embracing the opportunity of addressing SDoH in care management workflows.
SDoH are defined by Healthy People 2020 as the “conditions in the environments in which people are born, live, learn, work, play, worship, and age that affect a wide range of health, functioning and quality-of-life outcomes and risks.” Essentially, these elements encompass the non-clinical factors that can promote or hinder a patient’s ability to fully comply with care plans.
Transportation sits at the heart of current SDoH initiatives as a fundamental prerequisite to optimal care. Simply put, if patients cannot pick up their medications or get to appointments, a provider’s ability to impact their patient’s health is minimized. Consider, for example, a recent Connance survey that links 50 percent of re-admissions to factors such as transportation and home instability risk.
In the era of value-based care, the simple act of helping patients access transportation can notably improve the outlook on clinical outcomes and costs. For instance, medication adherence is a focal point of industry efforts to improve clinical outcomes, but if a patient cannot access transportation to pick up needed drugs, the potential for improvement is minimized.
Access to transportation is low-hanging fruit in terms of performance improvement, and providers must get ahead of the transportation challenge to implement successful, sustainable population health strategies. It’s also why forward-looking organizations are addressing this critical element of SDoH by equipping care managers with tools that speed identification of transportation needs and available services.
Understanding the Challenge; Recognizing the Opportunity
Industry statistics reveal that the transportation challenge is significant and is expected to compound in the coming years. Estimates point to 3.6 million Americans missing or delaying medical care because of an inability to get to their appointments.
Understandably, the transportation issue is exacerbated in low-income and elderly populations as well as rural regions where public transportation is scarce. Many patients simply lack the disposable income needed to maintain a reliable source of transportation. In terms of elderly populations or those with disabilities, physical or mental conditions that eliminate or significantly restrict driving as an option create additional challenges.
The current and coming transportation challenge is sizeable and will require significant resources. Fortunately, the business case for improving the outlook is an easy one to make: A recent study examining non-emergency transportation costs in Florida found that if a mere 1 percent of medical trips resulted in the avoidance of an emergency room visit, the state could save up to $11 for each dollar spent.
Advancing Transportation Strategies
Providers and payers alike are increasingly turning to tools that help identify SDoH needs like transportation in near real-time, allowing care managers to proactively seek out community resources that can help. For example, one state-run managed Medicaid program deployed a care management platform that allows clinical teams to access pre-approved community services and schedule transportation appointments immediately once needs are identified.
With the help of customized algorithms and advanced artificial intelligence tools, drivers can be deployed to patients’ homes in anticipation of needs rather than finding out after the fact that appointments were missed, or medications were not picked up. The efficiency of the analytics platform is critical to changing the dynamic as clinical teams would otherwise be tasked with combing through millions of line items in patient records to identify potential needs.
Advanced solutions allow users to easily monitor transportation requests across all patients or drill down into a single case to manage unique details of each trip, such as advanced authorizations or ensuring the appropriate vehicle has been scheduled to accommodate assistive devices, child seats and companions. Care managers improve efficiency by scheduling recurring trips and tracking specific patient requests or preferences, which can be shared with the transportation vendor and other care coordinators.
Leveraging the transportation functionality, the state-run Medicaid program completed nearly 24,000 transportation entries in 2018. Through advanced analysis, it was able to forecast usage trends across months, time of day and geography to help its clients optimize operations and predict transportation expenditures. For example, the organization can determine which patients are frequent transportation users, which can alert care managers to book multiple provider appointments at once to reduce costs versus on separate days.
Personalized care management and coordination is part of the healthcare industry’s overarching goal of cultivating healthier communities. SDoH indicators such as transportation are critical to these efforts. Forward-thinking organizations are taking hold of the opportunity to improve care management by investing in infrastructures that support greater access to transportation.
At this point, most of us in health care have read similar statistics about why we need to do more to address social determinants of health (SDoH) — the conditions in which people are born, grow, live, work and age, and how those factors impact individuals’ health — to improve patient outcomes. These conditions and their resulting social needs include, but are not limited to, a person’s equitable access to nutrition, housing, transportation, education, and employment opportunities.
Time is of the essence to tackle some of these social determinants, especially when coupled with the rapidly shifting patient demographic, sometimes called the “silver tsunami.”
Payer
SDoH studies in no short supply
It
seems everyone is in a race to figure out what SDoH approach will move the
needle toward lower risk for their patient populations. But payers, in
particular, have taken on a hefty amount of the leg work needed with social
determinant “barriers to care” studies, because they are generally the most
financially accountable, from a population health analytics perspective, to
remove them.
Recent news about of these payer SDoH pilot programs and research studies have
been both interesting and useful across the care continuum, a summary of which
include:
WellCare, which provides managed care plans for more than 4.4 million Americans, ran a pilot program on more than 33,000 patients, referring them to more than 100,000 community-based social services programs, and was able to reduce inpatient spending by 53 percent, outpatient spending by 23 percent, and emergency spending by 26 percent.
In its Bold Goal 2019 Progress Report, Humana focused on patients in specific lines of business, including their Medicare Advantage program, where 91 percent of seniors who have at least one chronic condition. They enacted the Centers for Disease Control and Prevention’s “Healthy Days” self-reporting method of measuring healthy vs. unhealthy days and have also screened half a million people for SDoH since 2018, with the goal to screen one million by 2019. Humana notes that these social barriers are “deeply personal,” which requires closer partnership to track and measure population health.
Blue Cross is already instituting food, nutrition, and housing services as part of some of its plans. But it also recently announced an investment of $40 million with Solera Health, to address both mental health and SDoH matters, including “food insecurity, medically tailored meals, transportation, falls prevention and social isolation” with lifestyle modification programs such as diabetes or management, and tobacco cessation programs.
A study by the Anthem Public Policy Institute says individuals and the public (researchers and journalists) perceive SDoH differently. Individuals tend to lead with concerns about the health care “system,” whether they can find the right provider, followed by whether they have adequate “social support.” The public tends to “frame health outcomes through the lens of structural factors like education and income level perhaps, in part, because these factors are easier to measure.”
UnitedHealthcare and the American Medical Association partnered to expand the existing ICD-10 diagnostic codes being used to identify social and economic barriers to care. This adds 23 more codes to that list, some of which would “indicate a patient’s inability to pay for prescriptions, inadequate social interaction, or fears about losing housing.”
Existing
workflows provide best locale for SDoH communication
Despite all of the
various innovative steps being taken to bring SDoH to the forefront, we know
that most patients still aren’t
talking about SDoH concerns with their physicians. There are many reasons why, but one
logical solution to bolster SDoH communication between physicians and patients
is to incorporate, at minimum, the ability to identify social needs where they
are already doing business — in these EHR, CRM, and other third-party
platforms.
As is evidenced by the siloed health IT data systems that have for too long
crippled the health care industry’s transparency and ROI, we know that simply
identifying social barriers to care is not enough. Within the designated
“source of truth” that is most responsible for driving patient engagement,
whether that is an EHR, CRM, or other platform, we need to build — or integrate
— expanded capabilities for SDoH identification, referrals, and tracking each
throughout the continuum of care to close the gaps that currently exist.
That is not to say that physicians must now wear yet another hat — that of a
social worker or a social services case manager. But being asked to solve SDoH
from the current physician’s workflow perspective, without integrating SDoH
into the patient record, is basically saying to physicians:
“Improve clinical outcomes. But first, you must identify non-clinical data, be
responsible for referrals to improve these individual circumstances, and track
each of those referrals’ progress, all in different platforms, and none of
which talk to one another.”
This is not setting our patients or their physicians up for success.
The idea of a standardized SDoH screening mechanism within the EHR has been
endorsed by the National Academy of Medicine, the Medicare Access and
Children’s Health Information Program Reauthorization Act of 2015, the 2016
Centers for Medicare and Medicaid Services’ Quality Strategy, and several other
organizations, as released in an Annals of Family Medicine study. But unfortunately, in this
first U.S. study of its kind to address feasibility, “little is (currently)
known about how to capture and present (SDoH) information in community health
centers’ EHRs.” Nor did the study conclude how to integrate EHR-based
documentation needs into community health centers’ existing workflows.
The main barriers cited in the Annals’ study were that EHR-based SDoH tools:
(1) Create a too-fragmented view of the patient, with relevant data in too many
disparate locations
(2) Might add a layer of difficulty to obtain and act on SDoH data
(3) If SDoH patient information has been acquired on paper, that requires yet
another dual, manual data entry problem when “referral workflows were (already)
seen as too time-consuming, especially when no follow-up was planned,”
resulting in “an unmanageable follow-up workload.”
To date, the EHR has done a good job of serving most of the goals to take our
country’s health records digital. But it is also safe to say that the EHR, in
and of itself, cannot be all things to all persons working in health care. In
addition to the major enterprise EHR systems, there is a proliferation of
specialty, industry-specific EHRs, which may or may not have separate CRM
platforms, not to mention all of the other third-party, various other platforms
you can see within any one given practice, such as separate billing and
referral management types of platforms. There is a reason that
“interoperability” among all of these disparate health care data systems has
become another hot topic for the industry.
To yield maximum value for our customers, integrating SDoH data is
best-approached from a workflows perspective — not just connecting disparate
data systems for the sake of “more data,” but to make caregivers’ lives easier,
and to create actionable data that enable better business decisions. And
we already know that one of the easiest ways to improve efficiency for health
care organizations is to remove dual, manual entry between EHR, CRM, and other
third-party platforms that hold patient data — these are the first and most
valid case studies of how to improve organizational efficiency while bolstering
patient care.
There has been a flurry of innovative partnerships and technological
improvements to address SDoH, all of which should ultimately be supported by
policy changes — each of these as prevailing themes at trade shows and
conferences in recent years, such as the America’s Health Insurance
Plans’ (AHIP) annual conference, held recently in Nashville. Meanwhile, we look forward to
participating in more discussions about how those of us in health IT can do our
part — bridging SDoH informational and communication gaps between physicians
and patients. This could include integrating non-clinical SDoH concerns into
the patient’s clinical record, in and out of these platforms, establishing
standards for capturing SDoH to make data-sharing easier, and even incorporating social
services databases for more streamlined SDoH-specific “referral management.”
We talk a lot about how to achieve interoperability in health care, with all of
its disparate data systems, and SDoH is another compelling and recent reason
why we must accelerate these solutions, which would ultimately benefit health
care and all of its stakeholders — patients, physicians, payers, and everyone
in between.
By Chris Goettl, director of product management, security, Ivanti.
Chris Goettl
The first months of 2019 have
seen a record number of reported security vulnerabilities. But potentially the riskiest,
is BlueKeep. BlueKeep is a vulnerability (CVE-2019-0708) that affects Windows
7, Windows XP, Server 2003, 2008 and 2008 R2, which many feel will be exploited
soon.
The concern has been so great
that Microsoft has issued public updates, even for the no-longer-supported XP
and Server 2003 operating systems, and has been very active in issuing warnings
to apply the fixes right away. Some may even say that Microsoft has been
uncharacteristically begging everyone to apply the necessary fixes. The NSA too
has issued an advisory and
news article
warning to fix this immediately.
Why is this so important for healthcare organizations? It’s been reported that “70 percent of devices in healthcare organizations will be running unsupported Windows operating systems by January 2020.” This is a greenfield opportunity for the perpetrators of BlueKeep to expose health records and personally identifiable information (PII), presenting monumental, potential risk.
How does it work? BlueKeep is
considered a ‘wormable’ vulnerability because it does not require
authentication or user interaction to exploit. As such, the worm can spread
from system to system taking advantage of the vulnerability.
Numerous possibilities exist
for a wormable exploit like BlueKeep. For example, if it uses something like
Emotet, a more sophisticated malware platform, a piece of malware could get
onto a system and have the potential of making intelligent decisions about what
it should do next. It could then automate those steps and adapt to its
environment.
Or, what if BlueKeep finds
its way on to somebody’s home computer? In that case it’s probably going to
just sit back and grab any email exchanges that are going on, scrape some email
addresses, and try to spam itself out to spread itself further.
However,
if it got into a hospital’s network it could switch into ransomware mode –
creating perhaps an even more damaging version of WannaCry – holding critical
and even life-saving information hostage.
For
perspective, the WannaCry attack of 2017 was reported to cost as much
as $4 billion, making it one of the most costly ransomware attacks to ever hit
our global economy. The fact that six
security firms have independently reached successful exploit of BlueKeep makes it pretty likely that a weaponized version of BlueKeep
may be a lot more real than some of the other recent threats. Even though
nobody has detected an attack “in the wild” yet, it’s only a matter of time
before the first attacks occur. Bleeping Computer confirms private
MetaSploit modules have already been developed for demonstration.
So, what needs to be
done to keep BlueKeep away? Follow these three important steps:
Leverage a
comprehensive asset management solution to ensure that you have full visibility
into any and all legacy systems that may have one of the vulnerable operating
systems. It only takes one system that remains unpatched to expose your
network. Don’t let any system slip through the cracks.
Immediately apply
the latest updates to all of your legacy systems before BlueKeep hits the
streets. You don’t want to get an ‘I told you so!’ from your incident response
and security team.
Minimize the impact on your
IT teams through automation. With the latest versions of MS SCCM not supporting
Windows XP and Server 2003, the job of applying patches can be a bit more difficult. But
it doesn’t necessarily mean that you must perform your patching manually. You
can patch up to 50 systems including
Windows XP and Server 2003 by accessing this free 60-day license to Ivanti
Security Controls here.
For those who have not
patched BlueKeep yet, it is only a matter of time before the first malicious
exploit is distributed. You can be sure that healthcare organizations will be at
the top of the target list. Be prepared and apply fixes today. Cyber adversaries are likely reverse
engineering the patch as you read this, getting ready to exploit organizations
and individuals alike. Let’s work together to avoid a potential repeat of
WannaCry.
Technology has really evolved over the last half a century and its impact is very vast. Many fields are feeling getting a touch of the improved technological advancement a notable one being the medical and health sector.
In the health sector, the
ripples of technology are not going to disappear anytime soon meaning there are
still plenty to offer that is on its way. Many trends have come and most find a
comfortable spot and stick for ages. The effects are evident in the improvements
in the quality of equipment to the commercial aspect of medical care making the
internet its hub.
Improvements in Health
Technology
One of the key drivers in
the technological age is the curiosity factor that forms the necessity aspect
of inventions. In the medical field, urgency and curiosity come together and
have brought out many pieces of equipment and procedures which have given a
boost to the entire health system.
Cases such as smallpox
have been totally eliminated as a result of vaccination. Growth hormone
problems also have a solution courtesy of endocrinologists and other hormonal
health specialists who have been able to isolate the human growth hormone
(HGH). In case of growth issues, you can easily get HGH
prescriptionfor a normal growth
process.
The oncology unit has also
grown tremendously and there is some sustained level of control when it comes
to cancer patients. The growth translates to many cancer survivors which is
another badge of honor to the technological backing of the health sector.
Each and every day new,
equipment gets conceptualized and the future seems like one timeframe we can
hardly wait for in the health and medical sector.
The Internet Effect
As earlier indicated, the
internet has its vast effects ass a force of technology on the health sector.
The internet is a great research tool that helps in giving patients more
information on their conditions. It also provides essential information on the
care process to the patients.
Communication between
doctors and their patients has received a boost courtesy of the internet and
one can receive medical information through mail among other services. The
commercial aspect of the medical sector has also received ample backup from the
internet. In this vein, a patient can look up the available services and also
book an appointment, without physically visiting the healthcare center.
Artificial Intelligence
Artificial intelligence in
the healthcare field is another blessing improving the delivery of services.
With AI, records are well kept and come in handy in the maintenance of health
data. AI also has a role when it comes to predictive analytics and is a good
research companion, especially in epidemiology. It helps in predicting the
impact of the spread of diseases and shows which part of the demographics that
will be majorly affected. This is essential when it comes to developing cures
deal with the disease in the subject.
Adoption
The major adopters of
technology are mostly the youth, the millennials. Due to their exposure to
technology, they have fast taken to it and most of them diagnose themselves by
looking up signs and symptoms from the internet which is not advisable. The
older generation has also taken to technology after seeing how effective it is.
Conclusion
It is no secret that
technology is very significant in our improved health conditions. As it is
evolving constantly all we have to do is to wait and see what else is in store
for us.