Improving Pharmaceutical Care through the Use of Intelligent Pharmacoinformatics

Improving Pharmaceutical Care through the Use of Intelligent Pharmacoinformatics

Tagelsir Mohamed Gasmelseid
Copyright: © 2017 |Pages: 23
DOI: 10.4018/978-1-5225-1762-7.ch011
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Abstract

The expansion of drug-related problems urged healthcare organizations to adopt Pharmacoinformatics to signal, analyze and report Adverse Drug Reactions (ADRs). Data for this study have been compiled from local and international sources such as WHO. The study resulted into the development of an intelligent multi-agent decision support system including a process model, a multi-agent architecture and an integrated data processing model with clear description of agent functionalities. The model reflects three main modules: a data capture and update module, diagnosis module and a pharmaceutical care and drug monitoring module. The study also reflected on the practical and managerial environment of the model and the basic considerations to be taken into account. The study also provided some important recommendations.
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1. Project’S Objectives

This project highlights the different Pharmacoinformatics channels that have been used (by both health-care professionals and patients) in hospital management and the provision of pharmaceutical care which involves identifying, solving, and preventing potential or actual drug-related problems (DRPs) with regards to a patient’s drug therapy.

Despite the fact that there are a number of different approaches to the development of Pharmacoinformatics applications used for decision support, there is a general agreement that decision support systems are developed most successfully by an interactive, prototyping approach. The suitability of this approach for this project stems from the fact that complete information requirements of stakeholders are difficult to identify in advance and may change significantly over time. To achieve the aims of this project emphasis will be made on:

  • 1.

    The articulation of the issues which can potentially affect hospital management processes and the quality of pharmaceutical care in public hospitals in pursuit of providing insights into how Pharmacoinformatics can potentially affect the future of healthcare.

  • 2.

    The development of a process mode (including all decision models and processing functions relevant to the organization as a base for the transformation of data into information) and

  • 3.

    The development of a data processing model (establishing relationships between the system’s structure and dynamics.

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