Data Reuse Through Anesthesia Data Warehouse: Searching for New Use Contexts.

Area of Science:

• Health Informatics
• Data Management
• Clinical Research

Background:

• Increasing volumes of data from Hospital Information Systems necessitate effective data reuse strategies.
• A data warehouse was implemented at Lille University Hospital for anesthesia data, primarily for clinical research.
• Existing data reuse practices are limited to answering specific clinical questions via data table extraction.

Purpose of the Study:

• To identify and compare diverse contexts for clinical data reuse beyond current data warehouse applications.
• To explore the literature for established data reuse scenarios in healthcare settings.
• To understand the practical challenges faced by clinicians when accessing and utilizing hospital data.

Main Methods:

• Semi-structured interviews were conducted with ten anesthetists.
• An interview grid focused on experiences with clinical data reuse, contexts of use, information systems, and encountered difficulties.
• A semi-inductive thematic analysis was employed to categorize findings from the interviews.

Main Results:

• Three primary contexts for anesthesia data reuse emerged: research and knowledge discovery, professional practice evaluation, and organizational management.
• Clinicians face significant administrative hurdles in accessing data.
• Healthcare professionals often perform tasks outside their expertise to retrieve and process data.

Conclusions:

• The current data warehousing approach has limitations in supporting broader data reuse needs.
• Difficulties in data retrieval underscore the necessity for simplified and continuous data access.
• Future data management strategies should aim to facilitate easier access for diverse applications.