Help doctors alleviate burden and make computer technology diagnosis more accurate in the future
Foreign media reported that in the near future, great changes will take place in the medical electronics industry. The new computer technology will not only help doctors get more personalized and more accurate diagnosis results, but also reduce medical costs, improve patient care services and reduce doctors' workload.
"Medical practice" with a high rate of misdiagnosis
Today's health care is actually "medical practice", not "medical science".
Take fever as an example. For 150 years, doctors have usually prescribed some antipyretics such as ibuprofen to help relieve fever symptoms. However, in 2005, researchers at the University of Miami in Florida conducted a study of 82 critically intensive care patients. They randomly selected some patients to either take antipyretics when their body temperature exceeded 101.3 ° F ("standard treatment"), or allow them to take antipyretics only when their temperature reached 104 ° F. As a result, seven patients who received the "standard treatment" died, while only one patient died when the temperature was higher. This experiment ends here, because the medical team believes that it is unethical to let any patients receive standard treatment.
Help doctors alleviate burden and make computer technology diagnosis more accurate in the future
Therefore, basic medical methods like fever reduction are only "medical practice" and have not been challenged for more than 100 years. In this case, we can't help but ask: What other medical problems may be solved by traditional experience instead of science?
Today's diagnosis is often based on the patient's past medical history and current illness (but patients often do not know where their body is uncomfortable). They often understand their condition through advertisements and doctor's experience; and these doctors often just learn a little bit from some outdated courses in medical school. Many times, if you consult three doctors on the same issue, you may get three different diagnosis results and three different treatment options.
The end result is that patients receive lower-quality and more expensive medical services. A study by Johns Hopkins University in the United States found that in the United States, 40,500 patients die each year in the intensive care unit due to misdiagnosis, more than the number of deaths from breast cancer. However, another survey found that "institutional factors", such as poor handling methods, medical teams, and doctor-patient communication, are related to 65% of misdiagnosed cases. The "cognitive factor" is related to 75% of misdiagnosed cases, and the most common cognitive factor is "early closure" (adherence to the initial diagnosis and ignoring reasonable alternatives). These diagnostic errors also lead to an increase in medical expenses. On average, each misdiagnosis will increase the cost by $ 300,000.
The medical process should be based on data-based inference, rather than continuous trial and error. With the increasing number of data and research cases, it is difficult to meet the requirements of modern medical services without adopting corresponding technologies. The next generation of medical services will use more complex physiological function models and more sensor data to give personalized diagnostic results. Thousands of data points, more medical history information and case studies will help to obtain more accurate diagnosis results. The continuous improvement of the dialogue management system will help doctors obtain more accurate and comprehensive medical information from patients. Here, data science is the key. Finally, it will reduce costs, reduce the workload of doctors and improve patient care services.
Replace 80% of the work done by doctors?
Much of the work done by doctors (examinations, tests, diagnosis, prescribing, behavior correction, etc.) can be better done through sensors, negative and positive data collection and analysis. However, doctors should not just do some measurement work. They should understand all these data, and combine the latest medical findings and the patient's medical history to comprehensively consider these data and find out the true cause of the patient. The computer can handle all these diagnosis and treatment tasks, and can even do better than the average doctor (because it can comprehensively consider more options, so that fewer mistakes can be made). Most doctors cannot read and understand the latest 5,000 research papers on heart disease. Moreover, the medical knowledge of most general doctors often comes from the medical school they attended, which is already outdated; and because of the limitations of knowledge, they cannot remember more than 10,000 diseases that humans may suffer from.
Computers are better at organizing and recalling complex information than the best medical doctors at Harvard University. They are also better than ordinary doctors at taking into account the patient's illness, medical history, behavior and environmental factors. Moreover, 50% of medical doctors are still below the average level! Moreover, the computer error rate is relatively much lower. Should n’t we make full use of computers for our own health?
Technology compensates for human weaknesses and magnifies our strengths-medical doctors and relatively less trained medical professionals will be able to do more. Eventually, computers will be able to replace 80% of the work done by doctors and greatly enhance their capabilities. Lifecom ’s clinical trials have shown that with the help of a diagnostic knowledge engine, medical assistants can make their diagnostic results accurate to 91% without having to experiment, scan, or test. Another clinical study conducted by the company showed that 75% of cases could be screened out to registered nurses, and the remaining few cases could be handled by doctors. A survey by MassGen found that in 25% of the cases, the medical records of the patients who finally got the "critical diagnosis" actually had "the information to find the problem as early as possible" before the doctor finally made such a diagnosis. -In other words, if people use clinical decision support systems to analyze these data, then they can avoid delaying patient treatment.
The new technology will make the attending doctors more competent for their work-the diagnosis process is faster, the results are more accurate, and the treatment plan is more fact-based. The amount of data now is unprecedented, which contains huge opportunities. Once we have sufficient data sets and readily accessible research case databases, we will be able to more fully grasp the patient's condition.
Over time, doctors will increasingly rely on technology for classification, diagnosis, and decision-making. In the end, we will need fewer doctors, but every patient will be able to get the best treatment. The diagnosis and treatment plan will be completed by a computer, and it will be accompanied by carefully selected medical staff-this choice is more about their love than diagnosis. We will not allow poorly-skilled but highly skilled diagnosticians, that is, doctors like the "Guy Doctor House", to meet patients directly. Instead, we use computer algorithms to provide diagnosis, and highly caring humans to provide care.
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