Scene fusion and MR-based acute and critical disease MDT system and method

Abstract

The invention discloses a scene fusion and MR-based acute and critical disease MDT system and method. The system comprises a leading hospital system, a plurality of primary hospital systems and a plurality of emergency ambulance systems, and the leading hospital system is in network connection with the primary hospital systems and the emergency ambulance systems; and a medical holographic scene fusion terminal, management end equipment, a three-dimensional holographic environment server and an application server are organically connected to form the acute and critical disease MDT cooperative treatment system capable of fully utilizing the holographic scene fusion and mixed reality technology, and a series of problems existing in other existing schemes or products are solved. Moreover, based on a multi-party fused and unified medical holographic scene, accurate, visual, complete and unambiguous natural interaction can be provided for multi-party MDT cooperative treatment, homogenization of emergency treatment medical levels and medical quality of primary hospitals and leading hospitals is realized, and the timeliness and effectiveness of emergency and critical disease treatment are effectively improved.

Description

technical field [0001] The present invention relates to the field of medical information technology, and more specifically, to an emergency and severe MDT system and method based on scene fusion and MR. Background technique [0002] Emergency medicine is a clinical discipline that diagnoses, treats and researches various emergent, critical and acute traumas. The emergency department of a hospital is a place for centralized treatment of acute and critical patients, and emergency treatment measures are required for life-threatening accidental injuries and diseases in a short period of time. . At the current stage, the development of emergency medicine is extremely unbalanced between rural areas and urban areas. In particular, grassroots medical institutions are faced with many problems such as unreasonable structure of medical personnel, uneven professional level, and insufficient treatment experience, which seriously restrict the treatment effect of emergency and critically ...

AI Technical Summary

Problems solved by technology

[0006] 1. Poor timeliness

The consultation system cannot meet the high timeliness demand for emergency and critical care

Grassroots physicians need to prepare and enter a large amount of consultation materials before initiating consultations. In addition, it takes a lot of time to make appointments and wait for expert consultations, which affects the timeliness of emergency patient treatment.

[0007] 2. Missing key information

Using the consultation system, remote emergency physicians and emergency expert teams cannot intuitively, quickly and completely grasp the entire treatment process, resulting in the fragmentation and absence of key information such as the patient's condition and signs, treatment status, etc., making it difficult to provide relatively accurate information for grassroots doctors Suggestions for treatment

[0008] 3. There is a gap between scenes and contexts

In the process of collaboration between remote emergency physicians and grassroots physicians, there is a lack of technical means for the emergency expert team to join the collaboration process, and the group chat method does not meet the requirements for the standardization and rigor of medical collaboration, making it difficult to achieve multi-party collaboration

[0012] 2. Information is difficult to archive and cannot be traced back

Whether it is a telephone or video call, it can only be retained in the form of audio or video recording, and it is difficult to form a complete medical collaboration file, which is not conducive to process traceability

[0013] 3. Due to their own work arrangements, emergency physicians in higher-level hospitals must be unable to connect to phone calls and video calls

In this situation, the availability and effectiveness of telemedicine collaboration support work cannot be guaranteed

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