Clinical diagnosis and treatment information and quality control method and system for managing critical patients

Abstract

The invention discloses a clinical diagnosis and treatment information and quality control method and system for managing critical patients. A human-computer interaction module, a processing control module, a data analysis module, a quality control analysis module, a data classification module, a data acquisition and communication module and a storage module are arranged so that the clinical diagnosis and treatment information and quality control system is established. All the diagnosis and test data of any one patient can be acquired, and the data can be analyzed and a trend chart is drawn so that a user is enabled to perceive change trend of the data intuitively and a situation of whether the data are in normal range. The data obviously exceeding the normal range are prompted and warned, and a latest and authoritative processing method is provided and case data can be derived according to actual requirements so that use of clinical scientific research is facilitated. Besides, an evaluation method for multiple critical patients can also be adopted to evaluate the patients automatically so that workload is reduced and evaluation accuracy is enhanced. Quality control management of the critical patients can also be realized according to the ICU medical quality control requirements.

Description

technical field [0001] The invention relates to a diagnosis control system and method in the medical field, in particular to a method and system for managing clinical diagnosis and treatment information and quality control of critically ill patients. Background technique [0002] Intensive Care Unit (ICU for short) is an important clinical department in modern hospitals for monitoring and treating critically ill patients and other medical activities. Information system (ClinicalInformationSystem, referred to as CIS) to manage and integrate. [0003] CIS in critical care medicine includes many aspects: monitoring, recording and analysis of physiological parameters; pharmacokinetics, monitoring of adverse drug reactions and target-controlled infusion; clinical decision support, clinical pathways, treatment norms and implementation of guidelines. The use of CIS makes the implementation of standard clinical pathways in the Department of Critical Care Medicine more standardized ...

AI Technical Summary

Problems solved by technology

First of all, most CIS still stay at the level of mechanical recording and alarming of various physiological parameters, editing and printing medical documents, which cannot meet clinical needs, or only record and display patients' physiological parameters and test results indiscriminately, lacking data Functions such as analysis integration, intelligent early warning, and clinical support decision-making cannot meet the clinical needs of intensive care doctors

Secondly, at present, the display and processing of test data by CIS is still in a relatively primitive state, and the data has not been intelligently screened and analyzed

Thirdly, the alarms of various medical instruments and information systems at this stage are only mechanical responses to the upper and lower limits of artificially set parameters, and cannot provide alarms with clinical diagnostic significance, such as early warning of tachycardia, hypotension combined with abnormal perfusion indicators, shock, respiratory Significant deterioration of shortness of breath combined with gas exchange indicators can be used to warn of respiratory failure, and to warn whether the drug is safe to use when the patient's organ is insufficient, etc.

In addition, CIS has not yet played its due role in clinical research, and its data storage and analysis functions have not been fully utilized

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