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Yingfu QIU, Xiao CUI, Yilan YU, Hualing YANG. Analysis on the Effect of Intelligent and Information Management of Labor Analgesia[J]. Journal of Kunming Medical University.
Citation: Yingfu QIU, Xiao CUI, Yilan YU, Hualing YANG. Analysis on the Effect of Intelligent and Information Management of Labor Analgesia[J]. Journal of Kunming Medical University.

Analysis on the Effect of Intelligent and Information Management of Labor Analgesia

  • Received Date: 2024-05-11
  •   Objective  To evaluate the effect difference between intelligent information management system and traditional management mode in labor analgesia, and to discuss its influence on labor pain control and clinical application.   Methods  A total of 200 eligible pregnant women in labor were randomLy divided into an experimental group (Group A) and a control group (Group B), with 100 patients in each group. Group A utilized an intelligent information management system (REHN I analgesia pump system), while Group B employed a traditional electronic analgesia pump. The primary outcomes included Numerical Rating Scale (NRS) scores before analgesia, 15 minutes after analgesia, and at full cervical dilation, as well as the proportion of patients with NRS ≥7. Secondary outcomes included the number of pump presses, the number of effective presses, the proportion of active versus passive rescue measures, adverse reactions, and maternal satisfaction.  Results  Compared with Group B, Group A had significantly lower NRS scores at full cervical dilation (P < 0.05), and a significantly lower proportion of patients with NRS ≥7[10 cases (10.4%)vs 24 cases (25.2%), P < 0.05]. Group A also showed a higher proportion of active rescue measures (P < 0.05) and significantly more effective presses (P < 0.05). There were no significant differences between the groups in terms of adverse reactions and maternal satisfaction (P > 0.05).   Conclusion  The intelligent information management system can significantly enhance the effectiveness of labor analgesia, decrease the incidence of severe maternal pain, reduce the frequency of active interventions by anesthesiologists, and improve the efficiency of analgesic management. Its application holds substantial value and potential for promotion.
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