Foreign media reported that in the near future, the medical electronics industry will undergo major changes. The new computer technology will not only help doctors to produce more personalized and accurate diagnosis results, but also reduce medical costs, improve patient care services and reduce the workload of doctors.
"Medical practice" with high misdiagnosis rate
Today's health care is actually "medical practice," not "medical science."
Take fever as an example. For 150 years, doctors usually prescribed antipyretics such as ibuprofen to help relieve fever. However, in 2005, researchers at the University of Miami, Florida, conducted a study of 82 critical care patients. They randomly selected patients who either took antipyretics ("standard treatment") at a temperature above 101.3 °F or allowed their antipyretics only when their body temperature reached 104 °F. As a result, seven patients who received "standard treatment" died, while only one of the patients who received treatment at higher body temperatures died. This experiment is over now, because the medical team believes that it is unethical for any patient to receive standard treatment.
Help doctors reduce burdens, and future computer technology diagnosis is more accurate
Therefore, basic medical methods such as fever have only been “medical practice†and have not been challenged for more than 100 years. In this case, we can't help but ask: Is there any other medical problem that can be solved by traditional experience rather than science?
Today's diagnosis is often based on the patient's past medical history and current illness (but the patient often does not know where his body is uncomfortable). They often learn about their illness through the experience of advertising and doctors; these doctors often just learn a little from the outdated courses of the medical school. Many times, if you consult the three doctors on the same question, you may get three different diagnoses and three different treatment options.
The end result is that patients receive medical services that are of lower quality and more expensive. 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 because of misdiagnosis, exceeding the number of deaths due to breast cancer. However, another survey found that “institutional factors†such as poor treatment, medical teams, and doctor-patient communication were associated with 65% of misdiagnosed cases. The “cognitive factors†are related to 75% of misdiagnosed cases. The most common cognitive factor is “early closure†(adhering to the initial diagnosis and neglecting reasonable alternatives). These diagnostic errors have also led to an increase in medical costs, with an average cost per misplacement of $300,000.
Medical processes should be based on data-based inferences rather than constant trial and error. With more and more data and research cases, it is difficult to meet the requirements of modern medical services without using the corresponding technology. Next-generation medical services will use more complex physiology models and more sensor data to give personalized diagnostic results. Thousands of data points, more medical history data, and case studies will help to produce more accurate diagnostic results. The ever-improving dialogue management system will help doctors get more accurate and comprehensive information about their illnesses from patients. Here, data science is the key. Finally, it will reduce costs, reduce doctor workload and improve patient care.
Replace 80% of the work done by doctors?
Much of the work done by doctors (inspection, testing, diagnosis, prescribing, behavioral correction, etc.) can be done better with sensors, negative and positive data collection and analysis. However, doctors should not just do some measurement work. They should understand all of this data and combine the latest medical findings with the patient's medical history to consider the data and identify the true cause of the patient. The computer can handle all of these diagnostic and therapeutic tasks, even better than the average doctor (because it can consider more choices, so you can make fewer mistakes). 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 have attended, and it is outdated; and because of the limitations of understanding, they cannot remember more than 10,000 diseases that humans may suffer.
Computers are better at organizing and recollecting complex information than Harvard University's best medical doctors. They are also better at treating patients' illnesses, medical history, behaviors, and environmental factors than general doctors. Moreover, 50% of medical doctors are still below the general level! Moreover, the computer's error rate is relatively low. Shouldn't we make full use of the computer for our own health?
Technology compensates for human weaknesses and magnifies our strengths – medical professionals and relatively few medical professionals will be able to do more. In the end, computers will be able to replace 80% of the work done by doctors and greatly enhance their abilities. Lifecom's clinical trials have shown that with the help of a diagnostic knowledge engine, medical assistants can achieve a diagnostic accuracy of 91% without having to experiment, scan or test. Another clinical study done by the company showed that 75% of cases can be screened and given to registered nurses, and the remaining few cases can be processed by doctors. A MassEen survey found that in 25% of cases, the patient's medical record, which was eventually diagnosed as "disease critically diagnosed," had already had "information for early detection of the problem" long before the doctor finally made such a diagnosis. - In other words, if people use clinical decision support systems to analyze these data, they can avoid delays in patient treatment.
The new technology will make the attending doctors more qualified for their work – the diagnosis process is faster, the results are more accurate, and the treatment plan is more factual. The current amount of data is unprecedented, and there are huge opportunities. Once we have enough data sets and ready-to-access research case databases, we are more able to grasp the patient's condition.
Over time, doctors will increasingly rely on technology for classification, diagnosis, and decision making. In the end, we will only need fewer doctors, but each patient will receive the best treatment. Diagnostic and treatment plans will be done through a computer, along with carefully selected medical staff – a choice that values ​​their love rather than diagnostics. We will not let a doctor with a bad attitude but a high skill, a doctor like "Quiet House", meet with the patient directly. Instead, we use computer algorithms to provide diagnosis and care by a caring human.
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