Representing Nursing Data With Fast Healthcare Interoperability Resources

2020 ◽  
Vol 38 (4) ◽  
pp. 190-197
Author(s):  
Hyeoneui Kim ◽  
Amanda J. Eltz
Keyword(s):  
2017 ◽  
Vol 29 (2) ◽  
pp. 82-85 ◽  
Author(s):  
Swapna Abhyankar ◽  
Daniel J. Vreeman ◽  
Bonnie L. Westra ◽  
Connie W. Delaney

2016 ◽  
Vol 20 (3) ◽  
pp. 336-338 ◽  
Author(s):  
Jenny Alderden ◽  
Mollie Cummins
Keyword(s):  

2015 ◽  
Vol 22 (3) ◽  
pp. 600-607 ◽  
Author(s):  
Bonnie L Westra ◽  
Gail E Latimer ◽  
Susan A Matney ◽  
Jung In Park ◽  
Joyce Sensmeier ◽  
...  

Abstract Background There is wide recognition that, with the rapid implementation of electronic health records (EHRs), large data sets are available for research. However, essential standardized nursing data are seldom integrated into EHRs and clinical data repositories. There are many diverse activities that exist to implement standardized nursing languages in EHRs; however, these activities are not coordinated, resulting in duplicate efforts rather than building a shared learning environment and resources. Objective The purpose of this paper is to describe the historical context of nursing terminologies, challenges to the use of nursing data for purposes other than documentation of care, and a national action plan for implementing and using sharable and comparable nursing data for quality reporting and translational research. Methods In 2013 and 2014, the University of Minnesota School of Nursing hosted a diverse group of nurses to participate in the Nursing Knowledge: Big Data and Science to Transform Health Care consensus conferences. This consensus conference was held to develop a national action plan and harmonize existing and new efforts of multiple individuals and organizations to expedite integration of standardized nursing data within EHRs and ensure their availability in clinical data repositories for secondary use. This harmonization will address the implementation of standardized nursing terminologies and subsequent access to and use of clinical nursing data. Conclusion Foundational to integrating nursing data into clinical data repositories for big data and science, is the implementation of standardized nursing terminologies, common data models, and information structures within EHRs. The 2014 National Action Plan for Sharable and Comparable Nursing Data for Transforming Health and Healthcare builds on and leverages existing, but separate long standing efforts of many individuals and organizations. The plan is action focused, with accountability for coordinating and tracking progress designated.


2015 ◽  
Vol 22 (3) ◽  
pp. 608-614 ◽  
Author(s):  
Marilyn Chow ◽  
Murielle Beene ◽  
Ann O’Brien ◽  
Patricia Greim ◽  
Tim Cromwell ◽  
...  

Abstract The ability to share nursing data across organizations and electronic health records is a key component of improving care coordination and quality outcomes. Currently, substantial organizational and technical barriers limit the ability to share and compare essential patient data that inform nursing care. Nursing leaders at Kaiser Permanente and the U.S. Department of Veterans Affairs collaborated on the development of an evidence-based information model driven by nursing practice to enable data capture, re-use, and sharing between organizations and disparate electronic health records. This article describes a framework with repeatable steps and processes to enable the semantic interoperability of relevant and contextual nursing data. Hospital-acquired pressure ulcer prevention was selected as the prototype nurse-sensitive quality measure to develop and test the model. In a Health 2.0 Developer Challenge program from the Office of the National Coordinator for Health, mobile applications implemented the model to help nurses assess the risk of hospital-acquired pressure ulcers and reduce their severity. The common information model can be applied to other nurse-sensitive measures to enable data standardization supporting patient transitions between care settings, quality reporting, and research.


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