The accuracy of clinical information systems

Area of Science:

• Health Informatics
• Critical Care Medicine
• Data Science

Background:

• Clinical information systems (CIS) are increasingly adopted in intensive care units (ICUs).
• CIS facilitate recording, storage, and retrieval of extensive patient data, aiding research and quality assurance.
• Limited information exists regarding the accuracy of data generated by these systems.

Purpose of the Study:

• To review existing literature on the accuracy of clinical information systems (CIS).
• To identify aspects of automated data entry that may lead to incorrect patient data.
• To present findings from a study evaluating the validity of data from a commercial CIS.

Main Methods:

• Literature review focusing on CIS data accuracy, particularly automated data entry.
• Analysis of factors contributing to erroneous data in automated systems.
• Evaluation of data validity from a specific commercial CIS.

Main Results:

• Automated systems excel in data completeness and legibility compared to manual entry.
• The correctness of automatically entered data remains a significant concern.
• Specific features of automated data entry can inadvertently introduce errors.

Conclusions:

• While CIS enhance data management in ICUs, their data accuracy, especially correctness, needs careful consideration.
• Further research is crucial to understand and mitigate potential inaccuracies in automated clinical data.
• Ensuring the validity of CIS data is essential for reliable outcomes research and quality improvement.