With new medicines and increased survival rates, the cardiac world has
changed dramatically in the last decade. As digital technology advances,
patients will be able to obtain care closer to home, and doctors will
diagnose cardiovascular disease earlier.
Cardiovascular health technologies include all equipment and methods that
allow doctors to speed up the detection and treatment of heart diseases.
Doctors are currently experimenting with developing cardiac technologies
such as artificial intelligence (AI), Alexa capabilities, and chatbots.
According to several clinical trials, technologically-enabled cardiovascular
therapies can enhance patient outcomes and have resulted in a twenty
three percent reduction in hospital readmissions.
Cardiovascular disease is no laughing matter, and it is a severe worry for
any doctor.
The challenge these figures raise is: how can clinicians influence these
metrics in ways that promote patient health and long-term outcomes? The
causes of cardiovascular disease are numerous, ranging from
environmental to hereditary to cultural. Each component is addressed
individually by the technology described in this video. Every doctor, as well
as every diagnosed patient, should be aware of these.
Big data is a fancy name for the process of analyzing large amounts of data
to generate accurate insights that can be used to solve a specific problem,
whether medical or otherwise. There is a wealth of information available on
various facets of the cardiovascular disease specialty. Two recent
peer-reviewed academic papers have shown how big data can be used to
avoid cardiovascular ailments and aid in the generation of early diagnosis.The first, titled "System Framework for Cardiovascular Disease Prediction
Using Big Data Technology," was published in the November 2017 issue of
Symmetry. The researchers examined a wide range of indicators that could
be used to predict the chance of specific populations developing
cardiovascular illnesses over time. Big data algorithms, it turns out, can
forecast the case of a patient developing cardiovascular disease by
analyzing clinical, genomic, and lifestyle data through disease correlations,
drug side effects, and genetic studies.
A second study, published in the journal BioMed Research International in
May 2018, found that big data can correctly predict the likelihood of a
person having cardiovascular disease in eighty percent of cases. Most
importantly, this article provides a thorough list of risk factors for
cardiovascular disease. Gender, kind of chest pain, resting blood pressure,
serum cholesterol, fasting blood sugar, ECG, maximum heart rate reached,
exercise-induced angina, old peak, slope, and several significant blood
arteries colored by fluoroscopy.
While most predictive analytics models are currently only available in
academic settings, doctors will soon have access to complex databases
into which a specific patient's characteristics can be entered to determine
the likelihood of developing the cardiovascular disease with greater than 80
percent confidence.
Ultronics is an artificial intelligence firm established in the United Kingdom
using technology to change cardiovascular disease diagnoses. Ultronics
got a ten million dollar grant in 2018 to advance its innovation and make it
commercially viable. The Ultronics system, developed at John Radcliffe
Hospital, uses topological analysis to understand thousands of data points
acquired from single echocardiography to diagnose coronary heart disease
at an early stage.
Ultronics is only the most recent advancement in the field of cardiology.
According to a study published in the Journal of the American College of
Cardiology, artificial intelligence has the potential to "provide a set of tools
to supplement and extend the effectiveness of the cardiologist."According to the article's authors, AI will improve patient care by allowing
clinicians to interpret more data in greater depth than ever before.
Reinforcement learning algorithms will become companion physician aids,
privately supporting physicians, and expediting clinical treatment.
AI is increasingly being used to assist doctors in making better judgments
rather than to replace them. Artificial intelligence (AI) is a technology that
allows vast volumes of data to be fed into algorithms, which subsequently
assist physicians in making the best decisions for their patient's health.
Voice-enabled technology is already making significant progress in
improving health outcomes for individuals with heart disease.
Amazon's Alexa is by far the market leader in this field. Let's look at some
examples of how voice assistants are becoming indispensable to cardiac
patients.
According to the Centers for Disease Control and Prevention, a stroke
occurs every forty seconds in the United States. While immediate
cardiopulmonary resuscitation (CPR) can raise life chances by up to three
times, just slightly more than half of Americans are familiar with this
emergency therapy.
Asking Alexa to teach you the basics of CPR is as simple as ordering a
pizza, thanks to a skill developed by the American Heart Association
(AHA). The AHA skill also assists users in recognizing heart attack and
stroke symptoms. The AHA has begun accepting donations via Alexa. A
slew of additional features is intended to aid in the prevention of heart
disease.
While the human ear cannot identify the vocal qualities that signify heart
illness, the Rochester-based medical center revealed that a
voice-analyzing app could help diagnose coronary artery disease based on
a patient's tone and intensity. Another pilot study published in The Journal
of the Acoustical Society of America attests to the efficacy of this
technology in cutting healthcare expenses and mortality rates among
individuals with heart failure.
Chatbots are artificial intelligence messaging programs that leverage user
interaction to elicit information and offer answers. In other words, they are
an automated conduit for gathering information that doctors can use to
perform a health evaluation or to assist in deciding what medicine, if any,
should be prescribed.
High blood pressure and other cardiovascular illnesses are the most
common reasons for doctor visits. Patients with stage 1 hypertension, for
example, see their primary care physicians once every two months on
average, but those with stage 2 hypertension see their doctors once every
two to three weeks. Because cardiovascular disorders are so common,
intelligent chatbots are an excellent tool for gathering essential information
and dramatically simplifying a doctor's job.
A chatbot can collect routine information from a patient and provide it
directly to the primary care physician. This technology is easily integrated
with other software systems that doctors already use in their offices. Given
the prevalence of cardiovascular disorders, clinicians should investigate
chatbot solutions that can best combine with their existing technology and
collect necessary information for more accurate patient treatment plans.
The American Heart Association issued a policy statement in 2016
advocating the use of telehealth apps to improve cardiovascular and stroke
treatment.
This was a risky approach for a lot of reasons. On the one hand,
telemedicine, as previously stated, is the future of healthcare. In 2017,
there were an estimated 30 million telehealth visits in the United States, up
from twenty-two million in 2016. Furthermore, according to a 2015-2016
survey conducted by Brigham and Women's Hospital and reported by the
Harvard Business Review, ninety seven percent of patients were satisfied
with their first telehealth experience, and seventy four percent believed the
tool improved their relationship with their healthcare provider, indicating that
the technology is a step in the right direction.
On the other side, physicians' anxiety about the liability of utilizing
telehealth apps and reimbursement issues have contributed to alower-than-expected adoption of telemedicine technologies in the United
States.
Despite these reservations, the American Heart Association policy has
determined that the benefits of telehealth technologies exceed the hazards.
Dr. Crystal Wong expertly articulated the AHA's policy paper results:
Remote monitoring of patients with implantable cardiac devices resulted in
earlier diagnosis and treatment of arrhythmias and heart failure symptoms,
resulting in improved clinical outcomes. Using telestroke to assess patients
with acute ischemic stroke candidates for thrombolysis increased access to
acute stroke therapy in underserved areas. It was demonstrated to be as
safe and effective as standard care.
Telemedicine applications are incredibly well-equipped to connect
physicians with patients in remote sections of the country or provide
consultation to patients suffering from chronic cardiovascular conditions.
Every doctor should think about providing this service to patients to
improve the quality of care and patient outcomes.
Health technologies are here to stay and will continue to benefit physicians'
work in the long run. In this video, we've discussed some of the most
intriguing new technologies being used by doctors worldwide. Although
some may have a limited value at the current time, they all can improve
doctors' work now and in the future.
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