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Related Experiment Videos

Reporting and scheduling in-study inspections with the study director using microsoft Excel

T T Kilcoin1, D E Mayer

  • 1Ricerca, Inc., Painesville, OH 44077, USA.

Quality Assurance (San Diego, Calif.)
|April 1, 1997
PubMed
Summary
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Managing environmental and metabolic fate studies requires efficient scheduling of quality assurance unit (QAU) inspections. This study presents an Excel-based method to streamline QAU in-study inspection scheduling, improving cooperation between study directors and auditors.

Area of Science:

  • Environmental science
  • Metabolic fate studies
  • Regulatory compliance

Background:

  • Environmental and Metabolic Fate division manages 50-75 studies annually, with durations from 1 month to 3 years.
  • Good Laboratory Practices (GLP) mandate in-study inspections for data integrity.
  • Quality Assurance Unit (QAU) Standard Operating Procedures (SOPs) require quarterly monitoring for studies exceeding 3 months.

Purpose of the Study:

  • To address the challenge of scheduling in-study inspections for a high volume of diverse environmental and metabolic fate studies.
  • To develop a practical and efficient method for facilitating in-study inspection scheduling.
  • To enhance cooperation between Study Directors and the QAU in managing inspection timelines.

Main Methods:

  • Development of a novel method utilizing Microsoft Excel for tracking QAU inspection activities.

Related Experiment Videos

  • Implementation of periodic reporting of QAU inspection status to Study Directors.
  • Creation of "in-study inspection tracking reports" to visualize and manage inspection schedules.

    • Main Results:

    • The Excel-based system simplifies the complex task of scheduling critical phase and routine quarterly inspections.
    • Periodic reporting fosters a cooperative approach to inspection scheduling between Study Directors and QAU auditors.
    • The method effectively manages the workload associated with frequent in-study monitoring requirements.

    Conclusions:

    • The developed Excel tool significantly improves the efficiency and manageability of in-study inspection scheduling in environmental and metabolic fate studies.
    • This cooperative reporting method ensures compliance with GLP regulations and internal SOPs.
    • The system offers a scalable solution for managing inspection schedules in high-throughput research environments.