School of Biomedical Engineering, Jimma Institute of Technology, Jimma University, 378, Jimma, Ethiopia.
Faculty of Computing, Jimma Institute of Technology, Jimma University, 378, Jimma, Ethiopia.
BMC Pharmacol Toxicol. 2022 Jun 6;23(1):36. doi: 10.1186/s40360-022-00576-4.
Drug-drug interactions are a major cause of morbidity worldwide and are a leading source of treatment inefficacy. They are classified based on their pharmacological action on the body as major, moderate, and minor. Currently, it is a tedious process to remember the drug-drug interactions by the pharmacist during dispensing of the prescribed drugs for the patients. Therefore, there is a need for technology that assists the pharmacist in checking the drug-drug interaction for prescribed drugs. Therefore, in this work, a desktop-based application that can automatically identify the drug-drug interactions for prescribed drugs that could operate offline for those found in low-resource setting hospitals has been developed. To do this, around 3000 drugs along with their major and moderate interaction points were collected from Ethiopian Pharmaceutical Supply Agency. The developed system included two main parts; the database part that comprises all the drugs collected along with their major and moderate interaction points, and a patient registration platform to register the patients' history. The system was developed by using C sharp programing language.
The developed system has both drug-drug interaction checking as well as patient registration platform. Registration of the patient's history will be done by the pharmacist and during dispensing of the drugs to the patient, the developed system will check the interaction between the drugs prescribed. The system was tested to operate the above functions, and finally, it was able to display the major and moderate interaction points of all inserted drugs automatically and accurately. For those drugs which have no either major or moderate interaction, the system was displayed as 'unknown'.
The developed system assisted the pharmacist in knowing the drug-drug interaction, and enabled the patients for the resubscription of drugs with the same functional. The system would help to increase the efficiency of the pharmacist in low resource settings to do their tasks without any difficulty, and tiredness. In the future, it is recommended to include all drugs for all disease types rather than focusing only on chronic disease drugs.
药物相互作用是全球发病率的主要原因,也是治疗无效的主要原因。它们根据对身体的药理作用分类为主要、中度和轻度。目前,药剂师在为患者配药时,记住药物相互作用是一个繁琐的过程。因此,需要一种技术来帮助药剂师检查处方药物的药物相互作用。因此,在这项工作中,开发了一种基于桌面的应用程序,该程序可以自动识别处方药物的药物相互作用,对于资源匮乏环境下的医院,可以离线运行。为此,从埃塞俄比亚药品供应机构收集了大约 3000 种药物及其主要和中度相互作用点。开发的系统包括两个主要部分;数据库部分包含所有收集的药物及其主要和中度相互作用点,以及一个患者注册平台来注册患者的病史。该系统是使用 C sharp 编程语言开发的。
开发的系统具有药物相互作用检查和患者注册平台。患者病史的登记将由药剂师完成,在向患者配药时,开发的系统将检查所开药物之间的相互作用。该系统经过测试以运行上述功能,最终能够自动准确地显示所有插入药物的主要和中度相互作用点。对于那些没有主要或中度相互作用的药物,系统显示为“未知”。
开发的系统帮助药剂师了解药物相互作用,并使患者能够重新开具有相同功能的药物。该系统将有助于提高资源匮乏环境下药剂师的工作效率,使其能够毫不费力、不感到疲劳地完成任务。在未来,建议将所有药物(而不仅仅是慢性病药物)纳入所有疾病类型。