1. Medical imaging
At present, more than 90% of medical data comes from medical imaging. Medical imaging data has become one of the “evidences” necessary for doctors to diagnose, and it is also an important basis for cancer diagnosis.
Take lung cancer as an example: In China, a tertiary hospital receives an average of about 200 pulmonary nodule screening patients every day. Each patient will produce about 200-300 CT images during the examination. The radiologist needs to read at least 4 times a day. Ten thousand images, heavy tasks, a lot of energy consumption, leading to an increase in the rate of misdiagnosis and missed diagnosis.
In addition, the shortage of domestic doctors’ resources is becoming more and more serious. The demand for imaging doctors is in short supply, and the workload is far overloaded.
In order to solve this problem, many medical platforms have cooperated with artificial intelligence technology companies to develop tools to assist doctors in viewing medical images, and to improve the efficiency and accuracy of diagnosis.
After these medical platforms identify lung nodules through artificial intelligence, they are then handed over to doctors to perform further diagnosis, which greatly improves the efficiency and accuracy of diagnosis. However, the screening that was originally required for more than 10 minutes was shortened to only 5-17 seconds, and the diagnostic efficiency was greatly improved.
After the burden of doctors is reduced, more time and energy will be devoted to diagnosis, and more accurate diagnosis results and medical plans will be brought to patients. Doctors are also more able to give emotional support to patients, which is necessary for the increasingly tense doctor-patient relationship.
2. Inquiry and follow-up
In today’s medical procedures, patients who visit for the first time are often ignorant, unclear about the medical procedures, and do not know how to answer doctors’ questions. The outpatient doctors have a heavy task of visiting, and every patient can only communicate with the doctor for a few minutes each time they visit. The serious mismatch of doctor-patient information and poor medical experience have also led to tensions between doctors and patients.
It may be a feasible solution for the hospital to build a complete set of guidance services with the help of an intelligent voice interaction platform.
On the one hand, it can effectively guide patient registration, triage, and department route guidance; on the other hand, it can also assist doctors in “pre-questioning” of patients and providing doctors with “pre-questioning reports.” Before the doctor and the patient meet, they can grasp some basic information and condition of the patient in advance, and assist in diagnosis and treatment, which can also improve the accuracy and efficiency of diagnosis and treatment.
A similar “pre-question consultation” process can also be reused in the patient’s follow-up diagnosis scenario. The intelligent assistant reminds the patient to follow the doctor’s advice and follow up in time. At the same time, it reminds the doctor to make a return visit to the patient’s condition and adjust the medical plan in time according to the result of the return visit.
In response to such market needs, medical institutions can use AI to build intelligent consultation, intelligent triage, and intelligent follow-up diagnosis platforms to help doctors perform efficient diagnosis and provide solutions to the pain point of “difficult to see a doctor”.
3. Medical escort and emotional support
Medical treatment is a very special scene. In addition to diagnosis and treatment, the patient’s mental health is also an important part that cannot be ignored. With the advent of an aging society, the escort industry will also usher in a big gap. Many patients and the elderly do not have the conditions to hire a suitable caregiver, so can artificial intelligence be allowed to play this role?
Optimistically, chat robots that support intelligent voice interaction can accomplish these tasks:
1. Remind family members to follow good living habits and take precautions;
2. Record the patient’s physical condition as a reference for the doctor’s treatment plan;
3. According to the needs of the patient, provide professional medical advice for simple problems, and remind the patient to follow the doctor’s advice and follow up regularly;
4. Conduct daily communication and emotional greetings with patients to provide emotional support for patients.
But to complete the above tasks, intelligent voice assistants still need to break through the technical bottleneck. But there is no doubt that this is something worth exploring.
Four, conclusion
The one-on-one, on-call medical services that a small number of people can enjoy are elusive to the general public, but with the intervention of artificial intelligence, some common routine and remote conditions can solve health problems. It is possible to enjoy one-to-one personalized service at low cost.
AI technology enters the vertical field and requires a lot of data as support. As the second most populous country in the world, China has a huge population base and has accumulated huge medical data. This is a natural opportunity for AI to enter.
These data will have great potential in optimizing the allocation of medical resources, medical research, and improving medical efficiency, and will eventually provide doctors and patients with efficient, high-quality, and stable services.
Perhaps in the near future, it will be commonplace to have a family doctor robot in the family, just like the current sweeping robot.
