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[Analysis of data management in anesthesia from an ergonomic viewpoint]
W Friesdorf1, E Hecker, B Schwilk
1Universitätsklinik für Anästhesiologie, Universität Ulm.
Anasthesie, Intensivtherapie, Notfallmedizin
|April 1, 1990
Summary
Anesthetists face data overload. A system-ergonomic approach categorizes data management into Exploratory, Operative, and Concluding phases, aiming for improved perioperative patient care through structured information systems.
Area of Science:
- Anesthesiology
- Human Factors Engineering
- Information Science
Context:
- Perioperative phase presents anesthetists with complex data management challenges.
- Current systems offer insufficient support, leading to unstructured data and potential critical situation overload.
- A system-ergonomic approach is crucial for optimizing data handling.
Purpose:
- To define and categorize data management (DM) within the perioperative phase.
- To identify shortcomings in current data presentation and workplace support.
- To propose a framework for improved data handling and system integration.
Summary:
- Data management is classified into Exploratory (preliminary examination), Operative (anesthesia control), and Concluding (post-anesthesia summary) phases.
- Operative data management requires integrated, hierarchically structured, and situation-appropriate data presentation.
- Concluding data management aims for multifunctional summaries, ideally automated.
Impact:
- Enhancing patient safety through better data organization and reduced cognitive load for anesthetists.
- Improving efficiency in clinical and statistical data recording and transfer.
- Laying the groundwork for developing advanced, computer-assisted data management systems in anesthesiology.