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AI And Machine Learning In Healthcare: Garbage In, Garbage Out

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Much proselytizing has occurred regarding the value and future of artificial intelligence (AI) and machine learning in healthcare. As with blockchain technology, which continues to evolve in the healthcare marketplace, AI and machine learning are constructs that require a bit of near-term expectation management. While their efficacy and value will improve with time, they are not the magic bullet (at present) that will answer the myriad care and cost delivery questions surrounding healthcare in the United States. Owing to space constraints this column is an overly simplistic contemplation of AI. As prologue to this article, I am not an AI programmer, don't play in Python, and have never built a machine learning algorithm.


#ATA2020: Artificial Intelligence and Its Role in Virtual Care

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Terri Casterton of SCL Health said that her organization had begun looking at AI years ago as something that could drive efficiency, both from the patient's perspective and for providers. Today, that's translated into using the technology for patient histories and symptom checking. "When patients can do this in their homes, and walk through, at their own pace, the questions that they need to answer, we tend to get even better results that can be used through AI to make a more informed decision around their diagnosis," said Casterton, senior director of innovation and virtual health for SCL Health. And that's something that the providers at SCL Health have enjoyed too, she said. They understand that patients are responding to AI that constantly learns and applies the answers to get a more accurate diagnosis.


Global Big Data Conference

#artificialintelligence

Much proselytizing has occurred regarding the value and future of artificial intelligence (AI) and machine learning in healthcare. As with blockchain technology, which continues to evolve in the healthcare marketplace, AI and machine learning are constructs that require a bit of near-term expectation management. While their efficacy and value will improve with time, they are not the magic bullet (at present) that will answer the myriad care and cost delivery questions surrounding healthcare in the United States. Owing to space constraints this column is an overly simplistic contemplation of AI. As prologue to this article, I am not an AI programmer, don't play in Python, and have never built a machine learning algorithm. That said, I do have 30 years of practical experience in the healthcare trenches and have dealt with information technology (IT) systems and applications in that time, such as culling quality data and outcomes from electronic medical record (EMR) systems and deploying rudimentary analytics.


Virginia to use artificial intelligence-powered online tool to Help Virginians self-screen for COVID-19 - Fredericksburg Today

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Governor Northam announced that Virginians can now use COVIDCheck, a new online risk-assessment tool to check their symptoms and connect with the appropriate health care resource, including COVID-19 testing. "If you are feeling sick or think you may have been exposed to someone with COVID-19, it is important that you take action right away," said Governor Northam. "This online symptom-checking tool can help Virginians understand their personal risk for COVID-19 and get recommendations about what to do next from the safety of their homes. As we work to flatten the curve in our Commonwealth, telehealth services like this will be vital to relieving some of the strains on providers and health systems and making health care more convenient and accessible." COVIDCheck is a free, web-based, artificial intelligence-powered telehealth tool that can help individuals displaying symptoms associated with COVID-19 self-assess their risk and determine the best next steps, such as self-isolation, seeing a doctor, or seeking emergency care.


Chatbots Provide Reliable Services and Information About COVID-19

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If a person starts to show symptoms of COVID-19 and they don't have medical facilities nearby, it's not advisable to travel to consult a doctor. Especially now, when medical staff are overburdened and wait times have skyrocketed. Virtual doctor's visits or telemedicine/telehealth, can replace in-person visits. Patients can connect to a hospital system, enter their symptoms and get advice from healthcare chatbots without physically visiting the facility. These services can give critical medical advice.


Council Post: 15 Technologies That Will Disrupt The Industry In The Next Five Years

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Five years ago, the words "artificial intelligence" and "machine learning" were on everyone's lips. Today, these technologies form a core part of how companies do business. Because technology is ever-evolving, there will always be new tech emerging on the horizon. However, the past has shown us that not every emerging technology can remain relevant, much less disrupt entire sectors of the economy. With each new crop of technologies, there are usually a few that have that potential.


Council Post: 15 Technologies That Will Disrupt The Industry In The Next Five Years

#artificialintelligence

Five years ago, the words "artificial intelligence" and "machine learning" were on everyone's lips. Today, these technologies form a core part of how companies do business. Because technology is ever-evolving, there will always be new tech emerging on the horizon. However, the past has shown us that not every emerging technology can remain relevant, much less disrupt entire sectors of the economy. With each new crop of technologies, there are usually a few that have that potential.


How COVID-19 is changing the future of eye care

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The rapid uptake of telehealth services to stop the spread of coronavirus is adding impetus to research to develop innovative new ways of diagnosing and monitoring patients with eye disease. As the COVID-19 pandemic has spurred Australia's health care practitioners to replace many routine face-to-face appointments with phone or video consultations – telehealth has moved into the mainstream. CERA researchers are leading major projects to develop innovative new diagnostic tools that can be used in the home or outside of traditional eye clinic settings. They predict the shift to telehealth services will continue to gather pace after the COVID-19 pandemic has ended. CERA Deputy Director Associate Professor Peter van Wijngaarden is leading research to develop a simple eye test to detect the early signs Alzheimer's disease.


Startup adjusts medical voice assistant for a Zoom world - MedCity News

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As more physicians are taking their practices online, software companies have also had to adjust their services. One example: Saykara, a startup developing an AI voice assistant to automatically fill health records, had to shift its platform to Zoom. In early March, Saykara celebrated a milestone when its AI voice assistant was able to operate autonomously, meaning for some specialties, it could automatically update patient records and notes without any clicks or voice commands. But a few weeks later, the Seattle-based startup had to quickly adjust to a new world where most appointments are being conducted online. "Things were growing every day until we had the hiccup of Covid thrown in there," said Dr. Graham Hughes, president and COO of Saykara.


Embracing AI telemedicine to help doctors develop communities of care

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Some years ago I had an experience that many people can identify with. I needed to see my primary care doctor for an issue I considered urgent but didn't want to wait three to four weeks to get an appointment. The way I see it -- you can remain part of the problem or try to solve it. That's how I came to found Imperium Legacy Technology and develop the iDirectDoc solution. Direct primary care offers healthcare as a service in a membership model, similar to the relationship people have with their gyms or cell phone providers: for a fixed fee, the doctor will cover all of a patient's wellness care.