Primary care doctor intelligent practice cloud platform supporting health service communities

Abstract

The invention discloses a primary care doctor intelligent practice cloud platform supporting health service communities. The platform comprises at least one AI cloud computing center which comprises aplurality of auxiliary diagnosis models; at least one cloud service platform which carries a plurality of different service modules, wherein the cloud service platform interacts with the auxiliary diagnosis models in the AI cloud computing center through a network to complete uploading of medical data and fusion judgment and processing of diagnosis results and corresponding services; and an integrated front end which comprises detection equipment used for acquiring physical sign data of a patient, wherein the integrated front end and the cloud service platform carry out data, service and pageinteraction, the service module is displayed on the integrated front end, and the physical sign detection data is transmitted to the service module through the integrated front end. The system has the advantages of wide coverage range of practice content, high intelligent auxiliary degree, support of a city-county-village integrated hierarchical diagnosis and treatment mode in a medical team or health service community mode, and the like.

Description

technical field [0001] Embodiments of the present invention relate to basic-level doctors' diagnosis and treatment, health services, and practice supervision, and in particular to a grass-roots doctor's intelligent practice cloud platform that supports a health community. Background technique [0002] With the development of artificial intelligence technology, Internet technology, communication technology, and intelligent hardware, more and more emerging technologies are being applied in the field of medical services. Artificial intelligence technology is being applied to medical scenarios more and more, but it is limited to single-point AI assistance, such as consultation assistance, triage assistance, etc. The full-process medical AI assistance for diseases has not yet appeared. The all-in-one machine for general practice is the most common device for basic diagnosis and contracting. The body includes a touch screen, audio-visual components, payment components, voucher pri...

AI Technical Summary

Problems solved by technology

But its disadvantage is that the service depth is shallow and the content is single. It only stays in the links of family doctor signing and signing data entry, and cannot cover all the work content of grassroots doctors.

At the same time, there is a lack of guidance and assistance for grassroots doctors, which makes it impossible to improve the existing irregular and inaccurate medical and health management services.

Similarly, this type of technology cannot realize operational services and capacity deployment, making doctors use it only at the policy level, and their own enthusiasm is not high

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