Department of Pharmacy, Hefei Binhu Hospital, Hefei, Anhui, China.
Sichuan Kelun Pharmaceutical Co., Ltd, Chengdu, Sichuan, China.
Appl Clin Inform. 2021 Jan;12(1):65-72. doi: 10.1055/s-0041-1722871. Epub 2021 Feb 3.
The sequence of intravenous infusions may impact the efficacy, safety, and cost of intravenous medications. The study describes and assesses a computerized clinical decision support annotation system capable of analyzing the sequence of intravenous infusions.
All intravenous medications on the hospital formulary were analyzed based on factors that impact intravenous infusion sequence. Eight pharmacy infusion knowledge databases were constructed based on Hospital Infusion Standards. These databases were incorporated into the computerized sequence annotation module within the electronic health record system. The annotation process was changed from pharmacists' manual annotation (phase 1) to computer-aided pharmacist manual annotation (phase 2) to automated computer annotation (phase 3).
Comparing phase 2 to phase 1, there were significant differences in sequence annotation with regards to the percentage of hospital wards annotated (100% vs. 4.65%, chi-square = 180.95, < 0.001), percentage of patients annotated (64.18% vs. 0.52%, chi-square = 90.46, < 0.001), percentage of intravenous orders annotated (75.67% vs. 0.77%, chi-square = 118.78, < 0.001), and the number of tubing flushes per ward per day (118.51 vs. 2,115.00, < 0.001). Compared with phase 1, there were significant cost savings in tubing flushes in phase 2 and phase 3. Compared with phase 1, there was significant difference in the time nurses spent on tubing flushes in phase 2 and phase 3 (1,244.94 vs. 21,684.8 minutes, < 0.001; 1,369.51 vs. 21,684.8 minutes, < 0.001). Compared with phase 1, significantly less time was required for pharmacist annotation in phase 2 and phase 3 (90.6 vs. 4,753.57 minutes, < 0.001; 0.05 vs. 4,753.57 minutes, < 0.001).
A computerized infusion annotation system is efficient in sequence annotation and significant savings in tubing flushes can be achieved as a result.
静脉输注的顺序可能会影响静脉药物的疗效、安全性和成本。本研究描述并评估了一种能够分析静脉输注顺序的计算机临床决策支持注释系统。
根据影响静脉输注顺序的因素,对医院处方中的所有静脉药物进行分析。基于医院输液标准,构建了 8 个药学输液知识库。这些数据库被整合到电子病历系统中的计算机序列注释模块中。注释过程从药剂师的手动注释(第 1 阶段)更改为计算机辅助的药剂师手动注释(第 2 阶段)到自动化计算机注释(第 3 阶段)。
与第 1 阶段相比,第 2 阶段和第 3 阶段在医院病房注释百分比(100%与 4.65%,卡方=180.95, < 0.001)、患者注释百分比(64.18%与 0.52%,卡方=90.46, < 0.001)、静脉医嘱注释百分比(75.67%与 0.77%,卡方=118.78, < 0.001)和每个病房每天冲洗的管数(118.51 与 21684.00, < 0.001)方面存在显著差异。与第 1 阶段相比,第 2 阶段和第 3 阶段在冲洗管方面有显著的成本节约。与第 1 阶段相比,第 2 阶段和第 3 阶段护士在冲洗管上花费的时间存在显著差异(1244.94 与 21684.8 分钟, < 0.001;1369.51 与 21684.8 分钟, < 0.001)。与第 1 阶段相比,第 2 阶段和第 3 阶段药剂师注释所需时间明显减少(90.6 与 4753.57 分钟, < 0.001;0.05 与 4753.57 分钟, < 0.001)。
计算机化的输液注释系统在序列注释方面非常高效,并且可以显著节省冲洗管的用量。