Literature DB >> 25656515

A nursing information model process for interoperability.

Marilyn Chow1, Murielle Beene2, Ann O'Brien3, Patricia Greim2, Tim Cromwell2, Donna DuLong4, Diane Bedecarré2.   

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.
© The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Electronic Health Records; Nursing Information Models; Nursing Research; Nursing documentation; Quality Assurance/Health Care

Mesh:

Year:  2015        PMID: 25656515     DOI: 10.1093/jamia/ocu026

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  3 in total

1.  Modeling Flowsheet Data to Support Secondary Use.

Authors:  Bonnie L Westra; Beverly Christie; Steven G Johnson; Lisiane Pruinelli; Anne LaFlamme; Suzan G Sherman; Jung In Park; Connie W Delaney; Grace Gao; Stuart Speedie
Journal:  Comput Inform Nurs       Date:  2017-09       Impact factor: 1.985

2.  A refined methodology for validation of information models derived from flowsheet data and applied to a genitourinary case.

Authors:  Bonnie L Westra; Kay S Lytle; Luann Whittenburg; Mischa Adams; Samira Ali; Meg Furukawa; Stephanie Hartleben; Mary Hook; Steve Johnson; Sarah Collins Rossetti; Tess Theresa Settergren
Journal:  J Am Med Inform Assoc       Date:  2020-11-01       Impact factor: 4.497

3.  Validation and Refinement of a Pain Information Model from EHR Flowsheet Data.

Authors:  Bonnie L Westra; Steven G Johnson; Samira Ali; Karen M Bavuso; Christopher A Cruz; Sarah Collins; Meg Furukawa; Mary L Hook; Anne LaFlamme; Kay Lytle; Lisiane Pruinelli; Tari Rajchel; Theresa Tess Settergren; Kathryn F Westman; Luann Whittenburg
Journal:  Appl Clin Inform       Date:  2018-03-14       Impact factor: 2.342

  3 in total

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