In the future, Artificial Intelligence (AI) may become a part of the healthcare industry.
Recently, Accenture has released a research report on AI's ability in the healthcare industry. The report shows the short-term value of AI in the medical field, the potential impact of AI technology and more. It estimates that by 2026, AI technology will save up to US$150 billion in US healthcare costs.
The report highlights 10 AI applications that may have a short-term impact on the healthcare industry. Researchers also analyzed the impact of each new technology application, the potential for practical use and the impact on health economics.
According to the report, the following three directions are probably the most valuable AI applications in the healthcare field.
The biggest application of robotic surgery is "minimally invasive" surgery. "Minimally invasive" means that the surgical incision will no longer be as large as the traditional's. The incision through minimally invasive surgery is approximately 6 mm, and can be completed with a small surgical instrument. surgery.
Cognitive surgery robots also incorporate human experience in surgery. Before the operation, the medical team will also collect the patient's medical history data and combined with real-time surgery in order to improve their own level of surgery.
The Da Vinci-assisted surgical robot is one of the most advanced surgical robots. These miniaturized instruments are installed on three robot arms. It has a large range of movement and high flexibility, which can also guarantee extremely high accuracy. The assisted surgery robot also includes a high-definition 3D camera that can intuitively guide doctors during surgery.
Patients with minimally invasive surgery have many benefits compared to traditional open surgery, including: less physical injury, smaller scars, faster recovery time.
Under the doctor's control, another small, mobile auxiliary medical device called HeartLander is working. It easily passes through the incision below the thoracic bone and enters the body. This small device can greatly reduce the physical damage to the internal organs of cardiac surgery.
That kind of instrument can perform a series of operations such as automatically navigating to a designated location, adhering to the epicardial surface of the heart or performing management therapy.
Its advantage is to improve the accuracy and stability of the hearts' surface operation. At the same time, it reduces the potential incidence of the traditional surgery due to a large number of contacts.
Virtual medical assistants can reduce the pressure on some hospitals and doctors. According to a study by Syneos Health Communications, 64% of patients are satisfied with the AI virtual nurse assistant who has 24 hours monitoring and quick answers to questions about drug problems.
In addition, about 72% of the patients think that the virtual assistant should have a personalized voice and a professional answer tone, which is more important than the voice master who has a simulated face or name.
Sense.ly, a virtual nurse assistant based in San Francisco, recently announced that it had won US$8 million in Series B funding. This funding will use to deploy a "nurse team" supported by AI virtual assistants between clinics and patients.
This app allows patients and nurses to communicate and consult separately at home or in the office, which can avoid unnecessary problems to visit the hospital. The most frequently asked virtual nurse in the app developed by Sense.ly is "Molly". Through a dedicated classification engine, "she" can listen to and analyze user questions and provide guiding answers.
"She is like a human and can really talk to patients nurses because in the eyes of users, 'she' is a real nurse or doctor." said company CEO Adam Odessky.
This is a very good medical diagnosis method. It uses the AI technology to perform pre-benchmark health examinations through the use of voice at a lower cost. Moreover, this kind of virtual nurse assistant can also notify the user in time.
Of course, these seem to be a bit far from the present. Although the current voice recognition technology has developed a lot, the virtual nurse assistant also needs a lot of medical knowledge integration.
The greatest advantage of automated workflow management assistants is to prioritize emergency events, reduce daily basic records and help doctors and nurses save time. We know that the necessary job for nurses in the medical industry is to record work, including information on the patient's type of medicine and time.
Through AI, the pressure on doctors and nurses can be greatly reduced. For example, through the voice they can complete the recording will be automatically converted it into text form. That's to say the analysis of patient care can be automated or even is shown in the form of icons.
Nuance is a very typical example. The company launched an AI intention in machine learning. The purpose is to help healthcare providers reduce the time for recording work and improve the quality of reports.
Its Computer Aided Physician Document (CAPD), which uses AI to analyze clinical information and provides real-time clinical document improvement (CDI) guidance in its natural workflow. This cloud-based idea helps them obtain an accurate clinical history of patients and more For precise treatment advice.
Another example is a collaboration between IBM and the Cleveland Clinic that aims to improve clinical nursing and administrative management. This collaboration uses Watson and other companies' advanced technologies to mine large amounts of data.
Relying on Watson's powerful natural language processing capabilities enables healthcare providers to quickly and accurately analyze thousands of medical articles, combine the knowledge of the medical literature, and train and support their ability to provide clinical care and administrative work.
Johns Hopkins Hospital has also adopted a similar approach in the cooperation of Camden, which aims to improve the efficiency of patient care through the use of predictive analytics at hospital command centers. This strategy will help doctors and nurses make faster decisions, such as arranging beds or informing rescuers.
Although we are concerned with the results of medical treatment, we cannot allow any mistakes. However, there is no doubt that artificial intelligence technology will be more effective in assisting hospitals, doctors, and nurses in the future to significantly increase work efficiency.
At present, we are still facing many challenges.
Artificial intelligence technology is not perfect and we still have reservations about the practicality. It is still possible to make mistakes, or even face the same ethical issues after a mistake has caused problems and a self-driving car crashes into people.
Moreover, the same as the Internet, medical information is also important personal information. Data privacy issues are still challenges faced by the artificial intelligence industry.
Yet even if there are many concerns, the potential of AI technology in the medical field is still enormous. The report even believes that the benefits of this technology may outweigh the risks.
Recently, Accenture has released a research report on AI's ability in the healthcare industry. The report shows the short-term value of AI in the medical field, the potential impact of AI technology and more. It estimates that by 2026, AI technology will save up to US$150 billion in US healthcare costs.
The report highlights 10 AI applications that may have a short-term impact on the healthcare industry. Researchers also analyzed the impact of each new technology application, the potential for practical use and the impact on health economics.
According to the report, the following three directions are probably the most valuable AI applications in the healthcare field.
Robotic/Robot-assisted surgery: Potentially worth $40 billion
The biggest application of robotic surgery is "minimally invasive" surgery. "Minimally invasive" means that the surgical incision will no longer be as large as the traditional's. The incision through minimally invasive surgery is approximately 6 mm, and can be completed with a small surgical instrument. surgery.
Cognitive surgery robots also incorporate human experience in surgery. Before the operation, the medical team will also collect the patient's medical history data and combined with real-time surgery in order to improve their own level of surgery.
The Da Vinci-assisted surgical robot is one of the most advanced surgical robots. These miniaturized instruments are installed on three robot arms. It has a large range of movement and high flexibility, which can also guarantee extremely high accuracy. The assisted surgery robot also includes a high-definition 3D camera that can intuitively guide doctors during surgery.
Patients with minimally invasive surgery have many benefits compared to traditional open surgery, including: less physical injury, smaller scars, faster recovery time.
Under the doctor's control, another small, mobile auxiliary medical device called HeartLander is working. It easily passes through the incision below the thoracic bone and enters the body. This small device can greatly reduce the physical damage to the internal organs of cardiac surgery.
That kind of instrument can perform a series of operations such as automatically navigating to a designated location, adhering to the epicardial surface of the heart or performing management therapy.
Its advantage is to improve the accuracy and stability of the hearts' surface operation. At the same time, it reduces the potential incidence of the traditional surgery due to a large number of contacts.
Virtual medical assistant: potentially worth $18 billion
Virtual medical assistants can reduce the pressure on some hospitals and doctors. According to a study by Syneos Health Communications, 64% of patients are satisfied with the AI virtual nurse assistant who has 24 hours monitoring and quick answers to questions about drug problems.
In addition, about 72% of the patients think that the virtual assistant should have a personalized voice and a professional answer tone, which is more important than the voice master who has a simulated face or name.
Sense.ly, a virtual nurse assistant based in San Francisco, recently announced that it had won US$8 million in Series B funding. This funding will use to deploy a "nurse team" supported by AI virtual assistants between clinics and patients.
This app allows patients and nurses to communicate and consult separately at home or in the office, which can avoid unnecessary problems to visit the hospital. The most frequently asked virtual nurse in the app developed by Sense.ly is "Molly". Through a dedicated classification engine, "she" can listen to and analyze user questions and provide guiding answers.
"She is like a human and can really talk to patients nurses because in the eyes of users, 'she' is a real nurse or doctor." said company CEO Adam Odessky.
This is a very good medical diagnosis method. It uses the AI technology to perform pre-benchmark health examinations through the use of voice at a lower cost. Moreover, this kind of virtual nurse assistant can also notify the user in time.
Of course, these seem to be a bit far from the present. Although the current voice recognition technology has developed a lot, the virtual nurse assistant also needs a lot of medical knowledge integration.
Automated workflow assistants: potentially worth $18 billion
The greatest advantage of automated workflow management assistants is to prioritize emergency events, reduce daily basic records and help doctors and nurses save time. We know that the necessary job for nurses in the medical industry is to record work, including information on the patient's type of medicine and time.
Through AI, the pressure on doctors and nurses can be greatly reduced. For example, through the voice they can complete the recording will be automatically converted it into text form. That's to say the analysis of patient care can be automated or even is shown in the form of icons.
Nuance is a very typical example. The company launched an AI intention in machine learning. The purpose is to help healthcare providers reduce the time for recording work and improve the quality of reports.
Its Computer Aided Physician Document (CAPD), which uses AI to analyze clinical information and provides real-time clinical document improvement (CDI) guidance in its natural workflow. This cloud-based idea helps them obtain an accurate clinical history of patients and more For precise treatment advice.
Another example is a collaboration between IBM and the Cleveland Clinic that aims to improve clinical nursing and administrative management. This collaboration uses Watson and other companies' advanced technologies to mine large amounts of data.
Relying on Watson's powerful natural language processing capabilities enables healthcare providers to quickly and accurately analyze thousands of medical articles, combine the knowledge of the medical literature, and train and support their ability to provide clinical care and administrative work.
Johns Hopkins Hospital has also adopted a similar approach in the cooperation of Camden, which aims to improve the efficiency of patient care through the use of predictive analytics at hospital command centers. This strategy will help doctors and nurses make faster decisions, such as arranging beds or informing rescuers.
Although we are concerned with the results of medical treatment, we cannot allow any mistakes. However, there is no doubt that artificial intelligence technology will be more effective in assisting hospitals, doctors, and nurses in the future to significantly increase work efficiency.
At present, we are still facing many challenges.
Artificial intelligence technology is not perfect and we still have reservations about the practicality. It is still possible to make mistakes, or even face the same ethical issues after a mistake has caused problems and a self-driving car crashes into people.
Moreover, the same as the Internet, medical information is also important personal information. Data privacy issues are still challenges faced by the artificial intelligence industry.
Yet even if there are many concerns, the potential of AI technology in the medical field is still enormous. The report even believes that the benefits of this technology may outweigh the risks.
Source: 7tin
http://www.7tin.cn/news/110926.html
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