Development and Evaluation of an Intelligent Control System in Perioperative Nursing Documentation

Perioperative nursing documentation is crucial for patient safety and treatment efficacy. Nevertheless, traditional recording methods are often associated with high error rates and inefficiency. This study developed and evaluated an intelligent control system that integrates radio frequency identification (RFID) wristband scanning, personal digital assistant (PDA) mobile recording, blockchain signature authentication technology, and modules for real-time alerts, process monitoring, and quality control. The system's effectiveness was evaluated by comparing qualification rates and the time required for inspections. A pre-post comparative design was used, with 200 perioperative nursing records randomly selected from both pre-implementation and post-implementation periods for review. Quality control nurses assessed documentation compliance across 5 dimensions: completeness, accuracy, timeliness, standardization, and logical consistency, using a passing score of 90 points or higher. Results demonstrated a significant improvement in nursing documentation compliance following system implementation, accompanied by a marked reduction in quality control time (both metrics, P <.05). Nurse satisfaction scores averaged 96.73±1.96. These findings indicate that the system effectively enhances nursing documentation quality, reduces the time required for quality control, and has been well-received by nursing staff. Future research should investigate the system's long-term clinical impact, its interoperability with electronic health record systems, its cost-benefit profile, and its applicability across various surgical settings.