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Selecting electronic health record systems: development of a framework for testing candidate systems
Andre W Kushniruk1, Elizabeth M Borycki, Kristin Myers
1School of Health Information Science, University of Victoria, BC, Canada. andrek@uvic.ca
Studies in Health Technology and Informatics
|April 22, 2009
Summary
Selecting electronic health record (EHR) systems is crucial for healthcare. This study introduces a framework for testing EHR systems to ensure they meet user needs and improve health informatics decision-making.
Area of Science:
- Health Informatics
- Information Technology in Healthcare
- Clinical Decision Support Systems
Background:
- Selecting electronic health record (EHR) systems is a critical, yet challenging, aspect of healthcare automation.
- Numerous EHR implementations have faced issues such as unmet user needs, budget overruns, and project delays.
- Effective system selection is vital for successful healthcare information technology adoption.
Purpose of the Study:
- To present a novel framework for evaluating and selecting electronic health record systems.
- To enhance the understanding and effectiveness of EHR system selection processes in health informatics.
- To guide healthcare institutions in making informed decisions regarding EHR procurement.
Main Methods:
- Development and application of a framework for testing candidate EHR systems.
- Focus on the strength of evidence derived from system testing.
- Evaluation of system suitability against user and institutional requirements.
Main Results:
- The proposed framework aids in systematically assessing EHR system capabilities.
- Testing candidate systems provides crucial evidence for informed selection decisions.
- The framework aims to mitigate common pitfalls in EHR procurement and implementation.
Conclusions:
- A structured testing framework improves the reliability of EHR system selection.
- Evidence-based evaluation is key to successful EHR adoption and improved healthcare delivery.
- This approach enhances the critical decision-making process in health informatics.
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