Wofeng technology GaussMind: application of automatic dialogue robot in medical industry

With the in-depth development of modern information technology, the health care industry has also set off an upsurge in the application of automatic dialogue robots and AI technology. According to Accenture research, by 2026, artificial intelligence technology will save 150 billion dollars for the health care industry every year. The medical care technology combined with AI can help doctors improve the efficiency and accuracy of diagnosis. Doctors can diagnose and treat multiple patients at the same time by using the analysis and diagnosis data of AI.

Barriers of medical information system need to be broken through urgently.

In the era of intelligence, there is still a lot of room for upgrading the traditional medical information system. At present, the weaknesses of the medical industry information system are mainly concentrated in three aspects:

Difficulties in data collection;
The scope and quality of data collection;
Application degree of automation and intelligence.

For a long time, the whole process of information integration in the medical field has been centered on manual labor, and many medical institutions still face problems such as isolated islands of information systems and fragmentation of medical information.

With the increasing number of people in need of medical assistance, medical institutions will face more severe challenges when purchasing and integrating information from various internal and external sources, such as clinical applications, laboratory systems, insurance portals and many other different systems.

Usually, due to the large and complex medical data, medical staff will waste almost half of their time on data entry, which is inefficient and prone to errors.

Automatic dialogue robot can help medical staff reduce repetitive, time-consuming and trivial data handling, and realize the automation of data entry, migration, cleaning and integration.

For example, migrating medical record data from the old medical record system to the new medical record system; Acquire that data of each business system and then performing comparison conversion accord to the corresponding coding table of the country; Automatically fill in the data of one business system to other business systems; Obtaining and summarizing the data of each system can not only improve the efficiency and accuracy, but also give medical staff more time to treat patients and return to their profession.