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Information processing in electronic medical records: A survey validation.
Cynthia Williams1,2, Hanadi Hamadi1, Cynthia Cummings1
1Brooks College of Health, University of North Florida, Jacksonville, USA.
Journal of Evaluation in Clinical Practice
|July 31, 2018
Summary
The Clinical Information Processing Instrument effectively validates electronic medical records (EMRs) for efficient information flow. This tool helps assess EMR utility in healthcare settings.
Area of Science:
- Health Informatics
- Nursing Research
- Information Science
Background:
- Electronic medical records (EMRs) are crucial for healthcare delivery.
- Assessing the efficiency of information processing within EMRs is vital for optimizing clinical workflows.
- The theory of swift and even flow provides a framework for understanding information dissemination.
Purpose of the Study:
- To validate the Clinical Information Processing Instrument (CIPI).
- To assess the CIPI's ability to examine information processing in EMRs.
- To guide survey development based on the theory of swift and even flow.
Main Methods:
- A mixed-methods approach involving registered nurses.
- Data collection through focus groups, an expert panel, and a survey validation process.
- A semi-structured questionnaire addressing communication methods, information quality, and system usability.
Main Results:
- Confirmatory factor analysis using structural equation modelling was performed.
- The final CIPI survey consists of 18 Likert scale questions.
- Statistical analysis confirmed the survey's validity and alignment with the theory of swift and even flow.
Conclusions:
- Nurses perceive EMRs as efficient for medication and time management, and communication.
- The CIPI is a validated tool for assessing information flow in EMRs.
- Considering factors affecting information distribution is key to enhancing EMR utility and meaningful use.
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