Use the labels in the right column to find what you want. Or you can go thru them one by one, there are only 29,701 posts. Searching is done in the search box in upper left corner. I blog on anything to do with stroke. DO NOT DO ANYTHING SUGGESTED HERE AS I AM NOT MEDICALLY TRAINED, YOUR DOCTOR IS, LISTEN TO THEM. BUT I BET THEY DON'T KNOW HOW TO GET YOU 100% RECOVERED. I DON'T EITHER BUT HAVE PLENTY OF QUESTIONS FOR YOUR DOCTOR TO ANSWER.
Changing stroke rehab and research worldwide now.Time is Brain!trillions and trillions of neuronsthatDIEeach day because there areNOeffective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.
What this blog is for:
My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.
Wednesday, November 21, 2018
Viz.ai artificial intelligence stroke software helping doctors win race against time
But the only question is; Is that fast enough to get 100% recovery? Or do you need even faster diagnosis? Are you studying these? Time to treatment is the wrong endpoint. 100% recovery is the only goal you lazy fuckers.
The
Southeast Regional Stroke Center at Erlanger, based out of the
University of Tennessee’s Erlanger Medical Center in Chattanooga,
receives referrals from more than 40 hospitals and treats more than
2,500 strokes each year. Patients are rushed to their
internationally-recognized center, more commonly referred to as the
Erlanger Stroke Network, both day and night, some arriving by ambulance
and others by helicopter. To say the physicians at the Erlanger Stroke
Network are experts in the field of stroke care would be a gross
understatement, like describing Babe Ruth or Hank Aaron as above-average
baseball players—these doctors are the best of the best. And for the
last three months, they’ve been using a new software solution so
significant for the future of stroke patients that its use has already
been highlighted by both The Economist and The Wall-Street Journal: Viz LVO, from Viz.ai. Viz.ai
has been making waves in the stroke space and promises to both reduce
time to treatment (door-to-groin) and increase the number of patients
receiving treatment in time. Viz
LVO was developed to improve detection and time to treatment in large
vessel occlusion (LVO) strokes, helping identify patients who need a
thrombectomy and get them to a certified stroke center as quickly as
possible. Treating those patients before it is too late for the
thrombectomy to be effective has long been a big challenge for providers all over the world. Thomas G. Devlin, MD, PhD“Thrombectomy is a very effective treatment for LVO stroke patients, less than 10 percent of the people that need this treatment are actually getting it, even in larger cities,”
says Dr. Thomas G. Devlin, executive medical director, University of
Tennessee Erlanger Neurology and co-director of the Erlanger Southwest
Regional Stroke Center. “It’s a serious problem.” Stroke
is considered the most time-sensitive condition in all of
medicine—patients lose an astounding 1.9 million brain cells every
minute—yet it often takes several hours for those patients to receive
the care they need. The traditional workflow when a stroke is suspected
begins with administering a series of x-rays, CT, CT angiography and CT
perfusion studies. That initial step happens rather quickly at larger
hospitals such as Erlanger Medical Center, but long delays can occur at
smaller hospitals. “We see this rather regularly,” Devlin says. “When the scans themselves have been done, but nobody has read them.” The
next step in the traditional workflow, once those studies have been
interpreted by a radiologist, is to communicate the findings to a stroke
center and, when necessary, get that patient to the stroke center.
Again, what would take just minutes in an ideal scenario often takes
hours. And when time is brain, those hours can be the difference between
a full recovery and a lifetime of disability—or even death. “We’ve
seen patients who could have been treated otherwise—and probably very
effectively—but due to the delay in the diagnosis of the LVO, they were
not candidates for the thrombectomy by the time they get here because of
the damage that has been done to the brain,” Devlin says. Redefining Stroke Care Viz
LVO uses a wealth of data to detect LVO strokes in images across an
entire system of hospitals—and it does it automatically, without waiting
on anyone to give it the green light. If the software detects an LVO,
it immediately alerts the stroke center’s specialists on their phones.
It also puts those specialists in touch with the patient’s physician so
that everyone can quickly get on the same page. This all helps a process
that would often take several hours get done in a matter of minutes,
Devlin says, and it changes the very nature of stroke care in the United
States. “Viz
LVO will be nothing less than transformational when it comes to
improving LVO detection in the United States, and I think that will
happen quite quickly,” Devlin says. “By detecting the LVO and allowing
us to communicate back and forth within the app, the software may
lead to significant improvements in door to groin puncture times. In the
past, outside hospitals would call us. Now, we automatically see the
LVO at our stroke center and we call the hospital, facilitating patient
transfer right away.” The software, Devlin adds, also allows
the stroke center’s clinicians to rapidly share images back and forth.
In the past, he says, maybe it would take 15-20 minutes to call an
interventionalist, ask them to look at certain images and then wait for
them to pull the images up and put eyes on them. Now, however, that is
all done instantaneously. The Viz app is once again speeding up that
workflow, saving millions of brain cells along the way and making the
difference between a patient who may be a good candidate for a
thrombectomy and one who received the care he or she needed too late for
the thrombectomy to be a realistic option. “After
implementing this software just a few months ago, we’ve already seen we
are communicating with outside hospitals much more quickly,” Devlin
says. “And we’re viewing images on our phone literally within minutes
after a scan without waiting on other physicians to call us or waiting
for an outside radiologist to read the images. This is facilitating
change like no other application to come before it. It’s the most
powerful, impactful technology I’ve seen in many years.”
Chris Mansi, MDBetter Outcomes Lead to Significant Cost Savings Chris
Mansi, MD, CEO and founder of Viz.ai., noted that improving patient
outcomes remains the No. 1 priority, but this improved workflow can also
save the United States billions of dollars on an annual basis. “LVO
strokes are massively undertreated,” Mansi says. “Stroke costs the U.S.
healthcare system about $220 billion every single year. If you treat
one of these LVO stroke patients with a thrombectomy, it costs about
$100,000 in that first year. If you miss your opportunity to treat that
patient, it costs $1 million in that year. That’s due to the patient
needing long-term care, sometimes 24/7 care, which can be incredibly
expensive.” Research
has found that every one minute a patient’s treatment is delayed leads
to an additional one week of disability. At a time when so many
Americans struggle to afford healthcare, this also means you aren’t just
helping the patient—you are saving the family from paying more out of
pocket and potentially going further and further into debt. Stroke
is the No. 1 cause of adult disability in the United States and the No.
5 cause of death, Devlin adds. “Strokes are astronomically expensive to
our society,” he says. “And the very best way to save money in medicine
is to have a good patient outcome. It saves the hospital money, it
saves society money, it saves the patient money. Leveraging the power of
thrombectomy will do all of that and more.” Realizing AI’s Full Potential So what’s the secret behind Viz LVO’s success? The secret is that there is no
secret—just years of hard work, mountains of imaging data and
state-of-the-art artificial intelligence (AI) technology. Mansi is a
former neurosurgeon who practiced for years in London before studying
applied technology at Stanford University. While exploring AI at
Stanford, he learned more about how undertreated LVO strokes were and
wanted to be an agent of change. “My
goal was to apply technology to improve access to life-saving treatment
and reduce time delays for LVO stroke patients,” Mansi says. “I knew AI
could help analyze the CT studies while also bringing the patient’s
entire care team together while that patient is still in the scanner.” The
healthcare industry, especially radiologists and radiology researchers,
have embraced AI. Technology such as Viz LVO helps doctors focus on
what they do best by giving them back the gift of time, allowing them to
be proactive rather than reactive in their clinical decisions. Indeed,
as the software’s deep learning dives into images, provides physicians
with immediate alerts and facilitates the decision-making process, care
and physician work satisfaction improve. “This
is how AI can truly impact healthcare,” Mansi says.“It’s not about
replacing doctors or making them better at their jobs—we are already
very good at our jobs—“It’s about the right patient being reviewed by
the right doctor at the right time. It’s about improving communication
in an entire health system, an entire community, as opposed to just a
single hospital.” The
company received FDA approval for Viz LVO through the De Novo pathway
in February 2018, setting a precedent for any other computer-aided
triage software solutions that will follow in its footsteps. How huge
was this for the healthcare industry? The press release covering the
FDA’s approval didn’t come from Viz.ai—it came from the agency itself. “We
were already pleased about the FDA approval,” Mansi says. “And then we
found out the FDA was putting out its own press, which just demonstrates
its willingness to innovate regulation to ensure lifesaving technology
is made available as quickly as possible in the United States. It shows
that the U.S. government really sees the importance of our breakthrough,
the impact it will have on improving patient care and reducing
disability throughout the country. It was great to see how enthusiastic
they were—it further convinced us that we were really onto something
here.” Viz
LVO and their companion products, Viz CTP (providing automated
perfusion analysis), Viz View (a mobile PACS viewer) and Viz Hub (a
HIPAA compliant messaging tool similar to WhatsApp), are currently
contracted to provide services in over 125 hospitals across the United
States, with many more following close behind. As implementation
spreads, patients all over the country will be receiving better care
than providers could have ever imagined—and it’s all thanks to this
one-of-a-kind software solution. For
Mansi, who first went down this road to change LVO workflow for the
better, the software represents one mission accomplished. But the
company is far from done when it comes to utilizing AI to change
healthcare. For Viz.ai, this is just the beginning.
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