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Related Concept Videos

Pharmacovigilance01:19

Pharmacovigilance

Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
Data Validation01:15

Data Validation

Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
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Data Validation01:03

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
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Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

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Biopharmaceutical Factors Influencing Drug Product Design: Overview01:22

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Rational drug product design integrates knowledge of the drug’s physicochemical properties, formulation components, manufacturing techniques, and intended route of administration. Each factor influences the drug’s performance, including how it is released, absorbed, and eliminated in the body.The physicochemical properties of a drug—such as solubility, stability, and particle size—affect its compatibility with excipients and the choice of dosage form. Excipients, though pharmacologically...
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Product specifications define the acceptable quality of a pharmaceutical product by ensuring identity, purity, potency, and strength. These specifications serve as benchmarks during development, manufacturing, and post-approval quality control. Clinically relevant specifications are particularly important because they directly relate to a drug's safety and efficacy in clinical use.Dissolution studies are critical biopharmaceutic tools that link in vitro behavior to in vivo performance. They...

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An Open-Source Framework for Mass Calculation of Antibody-Based Therapeutic Molecules
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A business rules design framework for a pharmaceutical validation and alert system.

A Boussadi1, C Bousquet, B Sabatier

  • 1Université Paris Descartes (Paris 5), Paris, France. abdel.boussadi@spim.jussieu.fr

Methods of Information in Medicine
|October 22, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces an agile business rule design framework (BRDF) to improve clinical information system (CIS) alerts for drug prescriptions, enhancing patient safety through end-user involvement.

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Area of Science:

  • Health Informatics
  • Software Engineering
  • Clinical Decision Support

Background:

  • Patient safety in clinical information systems (CIS) is often enhanced by alert systems.
  • Limited information exists on the implementation methodologies of these alert systems.
  • End-user involvement in system design is crucial for effective alert systems.

Purpose of the Study:

  • To propose an agile business rule design framework (BRDF) for designing drug prescription validation alerts.
  • To integrate end-users into the design process of clinical alert systems.
  • To enhance the methodology for implementing patient safety alerts in CIS.

Main Methods:

  • Analysis of the Unified Process (UP) design lifecycle to define agile framework components.
  • Integration of new subactivities: business rule specification and instantiation.
  • Application of the BRDF framework within the Georges Pompidou University Hospital (HEGP) CIS.

Main Results:

  • Pharmacist participation in five of eight BRDF design activities.
  • Successful validation of new subactivities for drug dosage adaptation.
  • An alert system using BRDF triggered alerts for 8.16% of prescriptions (5824/71,413).

Conclusions:

  • The BRDF approach addresses key challenges in decision support design.
  • It incorporates business processes, application context knowledge modeling, and design agility.
  • This framework supports strategic objectives for effective clinical alert system development.