Title: Impact of computer intelligent healthcare combined with nursing monitoring on the efficacy and medication safety of critically ill patients

Authors: Guiqiang Ren; Yuan Zheng

Addresses: College of Nursing, Inner Mongolia Medical University, Hohhot, 010059, Inner Mongolia, China ' Nursing Department, Inner Mongolia Sports Hospital, Hohhot, 010000, Inner Mongolia, China

Abstract: The article selected 120 severely ill patients admitted to a general hospital in a certain city from January 1, 2022 to December 31, 2022 as the research subjects, divided into an observation group (60 cases) and a control group (60 cases). The observation group used the system as auxiliary treatment, and the control group used traditional methods for treatment. In terms of changes in inflammatory indicators, the P values of reactive protein (CRP), neutrophil percentage (NEUT%), and lymphocyte percentage (LYM%) in the observation group upon admission and 14 days after treatment were 0.001, 0.033, and 0.026, respectively, showed statistically significant differences. The P values of the average changes in CRP, NEUT% and LYM% indicators of patients in the control group at admission and 14 days after treatment were 0.048, 0.206 and 0.118 respectively, and there was no significant difference in NEUT% and LYM%.

Keywords: efficacy of critically ill patients; drug safety; computer intelligent healthcare; nursing monitoring; medical decision-making.

DOI: 10.1504/IJCSYSE.2026.151339

International Journal of Computational Systems Engineering, 2026 Vol.10 No.1/2/3/4, pp.113 - 123

Received: 22 Sep 2023
Accepted: 15 Oct 2023
Published online: 26 Jan 2026 *

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