Man-machine cooperation system and method for disease early warning and intervention management

Abstract

The invention discloses a man-machine cooperation system and method for disease early warning and intervention management. The man-machine cooperation system comprises: a monitoring data collection device, a clinical data gateway, a score calculation server, an observation data recording gateway, an observation data recording terminal, an intervention plan server, an intervention activity record terminal, a score calculation monitoring terminal, and an intervention plan monitoring terminal; the monitoring data collection device is connected to the clinical data gateway; the score calculation server is respectively connected to the clinical data gateway, the observation data record gateway, the intervention plan server and the score calculation monitoring terminal; the observation data recording terminal is connected with the observation data recording gateway; and the intervention activity recording terminal and the intervention plan monitoring terminal are connected to the intervention plan server. The man-machine cooperation system and method for disease early warning and intervention management proposed by the invention can reduce the workload of medical staff on patient assessment, and improve work efficiency and accuracy.

Description

technical field [0001] The invention belongs to the field of medical information technology, and relates to a medical cooperation system, in particular to a human-computer cooperation system for disease early warning and intervention management. Background technique [0002] Numerous studies have proved that early detection of potentially critically ill patients and appropriate intervention can greatly improve patient prognosis, reduce in-hospital mortality, and reduce overall medical costs. Patients often have observable clinical signs of abnormalities in the hours before a critical event. [0003] However, most of the critical illness alarm and intervention management processes commonly used in clinical practice are driven by the critical value provided by the medical technology department. It is judged by the threshold value, and there is no comprehensive analysis and judgment of multiple parameters. For some patients with special conditions, false positives and false po...

AI Technical Summary

Problems solved by technology

[0003] However, most of the critical illness alarm and intervention management processes commonly used in clinical practice are driven by the critical value provided by the medical technology department. It is judged by the threshold value, and there is no comprehensive analysis and judgment of multiple parameters. For some patients with special conditions, false positives and false positives may often occur; 2. Hysteresis, the critical value is usually based on laboratory results or inspection results. , is the observation of the patient's condition that has already occurred, rather than the prediction of the event that may occur soon, so it belongs to the alarm, not the early warning

Therefore, although there are a variety of early warning scores, intervention guidelines and real-time monitoring technologies for patient data, there is still a lack of an integrated technical solution for the clinical human-computer collaboration environment before it is applied.

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