According to survey data from the Ministry of Health, nearly half of China’s residents do not seek medical treatment when they are sick.
“Queue for three hours and see a doctor for three minutes”, I believe that many patients have experienced the dilemma of “three longs and one short” (long for registration, waiting, and taking medicines, and short consultations). The daily average number of outpatient visits in my country is more than 20 million, and most of the patients are crowded in tertiary hospitals. Limited medical resources lead to social problems such as poor medical experience, strained doctor-patient relationship, and difficulty seeing a doctor.
Many patients don’t know which hospital to go to. Even if they go to the right hospital, they are easily dizzy. They cannot find the right doctor in the department. Even if they can find the right doctor, the effective communication time is very limited.
The emergence of AI medical virtual assistants alleviated this problem. Using speech recognition and natural language processing technology, patients’ descriptions of their symptoms are compared with standard medical knowledge bases, so as to complete services such as pre-interrogation, triage and guidance, Internet follow-up, and health consultation. 24×7 online, through the form of dialogue interaction, whether in the “pre-diagnosis”, “diagnosis” and “post-diagnosis” stages, the experience and efficiency of medical treatment can be improved.
Hospitals can use the voice AI dialogue interactive platform to create medical virtual assistants and implant them into the registration/outpatient management system of the hospital or medical institution. Patients can use the website, APP, official account/service account, mini program, etc. of the relevant platform Conduct dialogue interaction and obtain service information.
Before the consultation
The virtual assistant can conduct pre-inquiry, collect patient information, recommend relevant specialist hospitals and doctors, and effectively guide patients to register, triage, and conduct department route guidance.
Before the patient’s waiting period, the virtual assistant can analyze the patient’s main complaint, medical history, medication history, and allergy history based on the knowledge map of the medical field constructed based on speech recognition, natural language processing (NLP), deep learning and other cutting-edge AI technologies and clinical diagnosis and treatment big data. Such information is collected intelligently, and then standardized and detailed outpatient electronic medical records and preliminary diagnosis reports are generated and pushed to the doctor in advance.
If patients are only slightly unwell, they can also use virtual assistants to conduct health consultations and “self-diagnosis” on their mobile phones or PCs, and obtain light consultation services and medication guidance through descriptions of symptoms and medical history for reference. If the problem is resolved, you may no longer need to go to the hospital for treatment.
For example, Microsoft’s Health Bot can use the symptom checker to classify the patient’s condition, answer the patient’s questions, and help the patient find the nearest doctor. IBM’s Watson robot or medical assistant Ada, as a virtual nurse, provides patients with medical information or preliminary diagnosis.
In consultation
During the consultation period, the doctor can view the structured consultation medical record collected through the medical virtual assistant in advance, thereby eliminating the process of manually entering the electronic medical record while asking the consultation. On the basis of existing information, doctors can make targeted supplementary consultations, which can not only increase the effective communication time between doctors and patients, improve the efficiency of outpatient clinics, but also optimize the patient’s medical experience.
In addition, intelligent consultation can play a role in assisting doctors in diagnosis, and perform cross-analysis based on the information provided by patients to assist doctors in screening common diseases and making a preliminary diagnosis.
In addition, using leading voice recognition technology, the voice of the voice electronic medical record can be widely used, and it has even been included in the assessment indicators of the top three hospitals this year. Intelligent voice input can free the doctor’s hands, transcribing the content dictated by the doctor into text, forming a structured electronic medical record.
For example, the medical virtual assistant of the international voice giant Nuance has a conversational AI function. Doctors can retrieve and enter patient information in the form of voice conversations. According to statistics, the volume of voice input per minute is four times that of typing input, which shows that doctors’ work efficiency can be greatly improved.
After the consultation
In the post-diagnosis stage, the virtual assistant can conduct return visits to patients, participate in satisfaction surveys, and push post-treatment precautions, medical advice items, and review reminders. For patients, it can obtain additional information and act as an auxiliary reminder; while doctors can track the patient’s follow-up status, establish electronic health files, generate big data, and assist doctors in medical research, and the efficiency and experience of both doctors and patients Can be improved.
summary
Voice dialogue interaction is the general trend of “AI + medical” in the future. AI virtual assistants can greatly improve the efficiency of doctor-patient interaction communication, free up valuable time for medical experts, and relieve the tension of high-quality medical resources. Use AI dialogue interaction to open up a complete closed loop from pre-diagnosis to post-diagnosis, making it difficult to see a doctor. The problem may not be so difficult.
Welcome to the era of AI + medical.
