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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mastering-computer-systems-in-pharmacovigilance/
课程评论：没有评论
**课程名称：** 药物警戒计算机系统精通 **课程概述：** 本课程深入探讨药物警戒领域中计算机系统的作用和管理。药物警戒是监测和评估药品安全性的科学与实践，旨在通过收集、分析和评估不良反应（ADRs）及其他相关安全信息，确保患者安全，最大限度地降低药物风险。 药物警戒的有效实施离不开先进的系统和质量体系，而计算机系统正是支撑这些体系的关键。因此，理解计算机系统对于提供高质量的药物警戒服务至关重要。 本课程将重点介绍药物警戒中的计算机系统，软件开发方法以及维护指南。通过本课程的学习，您将掌握管理药物安全部门计算机系统的必要技能。课程将尽可能参考Oracle Argus系统，以贴近实际工作环境。然而，本课程**不包含**Oracle Argus的工作流程或案例处理教学。 **重要提示：** * 本课程仅供教育目的，**不能替代**工作场所的实际操作。请在应用所学概念时进行审慎评估。 * 请勿在学习过程中公开或分享任何公司专有信息或个人数据。 * 本课程**不保证**提供就业机会或为面试做好准备。
Pharmacovigilance is the science and practice of monitoring and assessing the safety of pharmaceutical products. It involves the systematic collection, analysis, and evaluation of adverse drug reactions (ADRs) and other relevant safety information. The primary goal of pharmacovigilance is to ensure patient safety by identifying and minimizing risks associated with medications.Pharmacovigilance aims at making the patient and the world safer by keeping an watch over the safety and risk profile of the medicinal products. To implement Pharmacovigilance, there are Pharmacovigilance systems and their quality systems. These pharmacovigilance systems can be implemented through Computer Systems. Hence understanding of the computer systems is important to deliver top quality pharmacovigilance operations.This chapter is all about understanding Computer systems in Pharmacovigilance, the software development approach and the maintenance guidelines. This course will equip you with the required skills to manage computer systems in the Drug safety function. The tutorial makes every effort to refer to Oracle Argus system wherever possible to make the tutorial as closer to real-time work environment. However, it does not teach Oracle Argus workflow or case processing.Please note that this training is for educational purpose only. It is not meant to replace any practices at the workplace. Hence, perform due diligence while applying any of the learned concepts at your workplace. Do not expose or share any company specific proprietary or personal data during the learning process in Udemy or another platform.Also kindly note that this tutorial does not promise any job opportunities or to get you ready to apply and succeed in job interviews.
