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A framework for analyzing data from the electronic health record: verbal orders as a case in point
Douglas S Wakefield1, Koby Clements, Bonnie J Wakefield
1Center for Health Care Quality, University of Missouri, Columbia, USA. wakefieldds@health.missouri.edu
Electronic health records generate vast patient data, enabling new analyses of care processes like verbal orders. This framework helps healthcare organizations improve patient safety and quality through data-driven insights.
Area of Science:
- Health Informatics
- Health Services Research
- Clinical Informatics
Background:
- Healthcare information technology generates substantial electronic data.
- Databases enable unprecedented monitoring of patient care processes.
- Need for analytic frameworks to analyze electronic health record data.
Purpose of the Study:
- To present a framework for analyzing electronic health record data.
- To analyze verbal order processes using a case study.
Main Methods:
- Analysis of longitudinal and cross-sectional data on verbal orders.
- Data sourced from an academic medical center's electronic health record and computerized provider order entry systems.
Main Results:
- Conducted various verbal order analyses, including patterns, provider specifics, content, alerts, and policy compliance.
- Identified significant variation in verbal order volume among individual prescribers.
Conclusions:
- Health information technology facilitates advanced analysis of care processes.
- Organizations can leverage data to understand and improve patient care.
- Data-driven insights are crucial for enhancing healthcare quality and safety.
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