Online medical consultation services are playing an increasingly important role in modern society, which not only reflects the digital transformation of the medical industry, but also reflects people's urgent need for convenient medical services. Through the online consultation system, patients can quickly obtain the advice and help of professional doctors without being limited by time and place, which is undoubtedly a great boon for busy modern people.
For example, Mr. Zhang, a frequent business traveler, had a sudden stomach ache in the field and was unable to go to the hospital immediately due to time constraints. At this time, he logged in to the online consultation system of a tertiary hospital through his mobile phone. The system was first received by AI customer service, and Mr. Zhang's symptom information was collected through a simple conversation, and then prescribed common prescriptions according to his condition, but Mr. Zhang felt unwell after taking the medicine, and the hospital got into legal trouble.
As a result, as mentioned above, AI bots on the market are often inadequately used to handle medical inquiries and sometimes give inaccurate or irrelevant information, which not only misleads patients, but also damages the credibility of hospitals. To solve this problem, the ChatWiki system proposes an innovative solution. The system not only has the powerful processing power of large language models, but also improves the accuracy and relevance of answers by building a specific knowledge base.
Ms. Li, for example, is a diabetic who needs to monitor her blood sugar regularly and adjust her medications. Through the ChatWiki system, her community health center uploaded detailed guidelines on diabetes management and the latest research results to the knowledge base. When Ms. Li consulted through the online consultation system, ChatWiki was able to accurately quote these materials to provide Ms. Li with personalized suggestions and answers, and in some cases even more accurate and timely than the answers of human doctors.
In addition, the large language model of the ChatWiki system can also organize the language to reply or use the information between the Q&A documents to construct the answer when there is no direct answer in the knowledge base, which greatly reduces the error rate. This means that even for patients with rare conditions or special symptoms, the system can provide a certain level of help and guidance.
To sum up, the ChatWiki system provides more efficient, accurate and humanized services for online medical consultation by combining the intelligent processing capabilities of large models and customized knowledge bases. This not only improves the user's medical experience, but also improves the work efficiency and service quality of medical institutions. For those medical institutions that want to improve the level of online consultation services, the adoption of the ChatWiki system is undoubtedly an option worth considering.