AI Article Synopsis
- HIE systems aim to improve clinician access to patient data but face usability issues and workflow challenges.
- Findings from studies focus on improving an Electronic Health Record (EHR) viewer that accesses various data sources to address these deficiencies.
- Key results emphasize the need for users to understand different types of data availability, and recommendations were made for enhancing the EHR viewer as well as identifying areas for further research.
Article Abstract
Background: The promise of Health Information Exchange (HIE) systems rests in their potential to provide clinicians and administrative staff rapid access to relevant patient data to support judgement and decision-making. However, HIE systems can have usability and technical issues, as well as fail to support user workflow.
Objective: Share the findings from a series of studies that address HIE system deficiencies for an Electronic Health Record (EHR) viewer which accesses multiple data sources.
Methods: A variety of methods were used, in a series of studies, to gain a better understanding of issues and their mitigation through use of promising EHR viewer features.
Results: The study series results are presented by the themes that underscore the importance for users to distinguish between data that are available but missing due to connection or system errors, data that are omitted entirely because they are not available and data that are excluded due to filtered search criteria.
Conclusions: The principal findings from this study series led to improvement recommendations for the EHR viewer, as well as citing areas that are ripe for further investigation and analysis.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062314 | PMC |
| http://dx.doi.org/10.1136/bmjhci-2019-000014 | DOI Listing |
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