T/CATE 0021-2024 Active Group standards

T/CATE 0021-2024 Intelligent patient-controlled analgesia management guidelines

Publish Date: 2024-10-16 Implement Date: 2024-10-17 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us

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Basic Information

Standard Code: T/CATE 0021-2024

Standard Type: Group standards

Standard Status: Active

is_force_gb: no

CCS Name: -

ICS Name: Medical and health technology

Publish Date: 2024-10-16

Implement Date: 2024-10-17

Scope

Scope: This document specifies the basic requirements for the construction, clinical implementation, and management of intelligent patient-controlled analgesia (PCA). This document is applicable to all medical institutions in China that meet the qualifications for analgesia, providing guidance for achieving intelligent clinical operations and management of patient-controlled analgesia. Main technical content: According to the data from the "China Pain Medicine Development Report (2020)", the global average prevalence of pain has reached 38%, with a prevalence of 37% in developed countries and 41% in developing countries. Statistics show that the public's awareness of pain-related diseases is only 14.3%, and the attendance rate of chronic pain patients is less than 60%. Among these patients, about half experience daily pain, and 21.6% do not receive any analgesic medication or other pain treatment. Currently, medical institutions mainly use Patient-Controlled Analgesia (PCA) technology for the diagnosis and treatment of acute and chronic pain, which has the advantages of rapid onset, timely control of breakthrough pain with impulse doses, individualized medication, and high patient satisfaction. However, a significant proportion of patients still do not achieve effective pain relief after treatment, mainly due to the failure of medical staff to timely provide patients with knowledge about pain prevention and treatment, and the inability to dynamically and real-time capture and respond to key information about the clinical process of pain management. Therefore, with the development of digital medical technology, it is necessary to formulate intelligent patient-controlled analgesia management guidelines to meet the requirements of new-quality medical productivity. This management guideline utilizes informatization methods, Internet of Things technology, internet platforms, and intelligent remote monitoring tools for pain patients to achieve full-time, full-area, and al