[Development of integrated support software for drug validation]

Area of Science:

• Clinical Pharmacy
• Health Informatics
• Pharmacovigilance

Context:

• Hospital pharmacy departments face challenges in proactively identifying patients at risk of adverse drug-related events (ADRE).
• Existing methods for ADRE detection are often manual, time-consuming, and may not cover the entire patient population.
• The integration of clinical data and treatment information is crucial for effective patient safety monitoring.

Purpose:

• To develop and describe a novel software tool for the automated detection of specific adverse drug-related events (ADRE) across all hospital patients.
• To design a system capable of integrating data from clinical history, prescription management, and custom-defined criteria for ADRE identification.
• To create a tool that assists pharmacists by automatically flagging patients at risk and recommending treatment adjustments.

Summary:

• A software tool was developed to automatically detect adverse drug-related events (ADRE) in hospital patients, focusing on specific scenarios like kidney failure or enteral feeding tube use.
• The software integrates data from clinical history (SELENE®), treatment prescriptions (Farmatools®), and designed tables to identify at-risk patients.
• Upon detection, the system recommends modified treatments to pharmacists, enabling a proactive approach to drug safety.

Impact:

• The developed software serves as a valuable drug validation tool, potentially reducing medication errors and improving patient outcomes.
• Automating ADRE detection enhances the efficiency and scope of pharmacovigilance activities within a hospital setting.
• This tool empowers pharmacists with real-time, data-driven insights to optimize patient treatment and mitigate risks associated with drug administration.