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Database Quality and Access Issues Relevant to Research Using Anesthesia Information Management System Data.

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Successful anesthesia informatics research relies on integrating Anesthesia Information Management System (AIMS) data with external sources like the operating room management system. High-quality data and domain expertise are crucial for publication success.

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Area of Science:

  • Anesthesiology
  • Medical Informatics
  • Health Services Research

Background:

  • Thomas Jefferson University Hospital (TJUH) has been a significant source of Anesthesia Information Management System (AIMS) data for research.
  • The TJUH AIMS was in use from before 2006 until April 2017, providing a finite dataset for analysis.
  • Identifying factors contributing to successful publication of anesthesia informatics studies using AIMS data is important for academic productivity.

Purpose of the Study:

  • To identify key factors enabling the publication of anesthesia informatics studies utilizing TJUH's AIMS data.
  • To assess the role of external databases and data quality in the success of these publications.

Main Methods:

  • Reviewed computer code and study texts for 47 papers published between January 2006 and August 2017 using TJUH AIMS data.
  • Examined structured query language to determine the use of external databases.
  • Assessed data quality based on completeness, correctness, concordance, plausibility, and currency.

Main Results:

  • Most studies (76.6%) required external database sources beyond the AIMS.
  • The operating room management system was the most frequently linked external data source (72%).
  • While AIMS data featured high-resolution timestamps and audit trails, issues like missing values and inconsistent units were noted.

Conclusions:

  • Linking the TJUH AIMS with the operating room management system was critical for enabling multiple AIMS data studies.
  • Access to external databases and analysts with anesthesia domain knowledge were essential for assessing data quality and ensuring data appropriateness.
  • This experience offers guidance for anesthesia departments aiming to boost academic output using AIMS data.