医药导报2024，Vol.43Issue(1)：47-53,7.DOI:10.3870/j.issn.1004-0781.2024.01.008
信息系统辅助抗肿瘤药物处方审核分析
Analysis of Review of Anti-tumor Drug Prescriptions Assisted by Information System
摘要
Abstract
Objective To analyze the problems of review of anti-tumor drug prescriptions and medical orders assisted by an information system to improve the review rules,and to provide a reference for improving review quality of anti-tumor drug prescription.Methods The problem with the pre-review of anti-tumor drug prescriptions and medical orders assisted by the information system in Sichuan Cancer Hospital during 2020-2022 were collected.The data came from the MEDICOM PASS system in Sichuan Cancer hospital.Clinical pharmacists made comments on relevant problems and analyzed the results.Results A total of 9 325 antitumor drug pre-approval problems,including 6 279 outpatient prescriptions(67.3%)and 3 046 inpatient orders(32.7%),among which 6 153(66.0%)were unsuitable indications,1 933(20.7%)were drug contraindications,449(4.8%)were problematic routes of administration,345(3.7%)were unsuitable drug compatibility,177(1.9%)were inappropriate drug frequency,133(1.4%)were problematic drug populations,74(0.8%)were unsuitable single doses,39(0.4%)were unacceptable drug interactions,22(0.2%)were unsuitable drug total.The results of clinical pharmacists'comments were 4 459 reasonable cases,with a false positive rate of 47.8%.The false positive problems included 2 264(50.8%)cases of unsuitable indications,1 933(43.3%)cases of drug contraindications,231(5.2%)cases of problematic routes of administration,and 31(0.7%)cases of unsuitable populations.Conclusion The review of anti-tumor drug prescriptions assisted by an information system can effectively intercept irrational drug use and improve the review quality of prescriptions and medical orders.However,the evidence-based medicine date of antitumor drugs is updated quickly.Pharmacists should constantly improve the prescription review rules based on the latest evidence-based medicine data.关键词
抗肿瘤药物/信息系统/前置审核Key words
Antitumor drug/Information system/Pre-review分类
医药卫生引用本文复制引用
程凯,王欢,杜春晓,马雪,商磊,胡志强,漆婷婷..信息系统辅助抗肿瘤药物处方审核分析[J].医药导报,2024,43(1):47-53,7.基金项目
四川省干部保健科研课题(川干研2021-805) （川干研2021-805）
四川省肿瘤医院优秀青年基金(YB2021028). （YB2021028）
