Literature DB >> 32940673

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

Bonnie L Westra1, Kay S Lytle2, Luann Whittenburg3, Mischa Adams4, Samira Ali5, Meg Furukawa6, Stephanie Hartleben7, Mary Hook8, Steve Johnson9, Sarah Collins Rossetti10,11, Tess Theresa Settergren10,11,12.   

Abstract

Use of electronic health record data is expanding to support quality improvement and research; however, this requires standardization of the data and validation within and across organizations. Information models (IMs) are created to standardize data elements into a logical organization that includes data elements, definitions, data types, values, and relationships. To be generalizable, these models need to be validated across organizations. The purpose of this case report is to describe a refined methodology for validation of flowsheet IMs and apply the revised process to a genitourinary IM created in one organization. The refined IM process, adding evidence and input from experts, produced a clinically relevant and evidence-based model of genitourinary care. The refined IM process provides a foundation for optimizing electronic health records with comparable nurse sensitive data that can add to common data models for continuity of care and ongoing use for quality improvement and research.
© The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Keywords:  data standards; electronic health records; information modeling; nursing informatics; nursing records

Mesh:

Year:  2020        PMID: 32940673      PMCID: PMC7671628          DOI: 10.1093/jamia/ocaa166

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


  27 in total

1.  Expressing observations from electronic medical record flowsheets in an i2b2 based clinical data repository to support research and quality improvement.

Authors:  Lemuel R Waitman; Judith J Warren; E LaVerne Manos; Daniel W Connolly
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Model development for EHR interdisciplinary information exchange of ICU common goals.

Authors:  Sarah A Collins; Suzanne Bakken; David K Vawdrey; Enrico Coiera; Leanne Currie
Journal:  Int J Med Inform       Date:  2010-10-25       Impact factor: 4.046

3.  Ambient Findability: Developing a Flowsheet Ontology for i2B2.

Authors:  Judith J Warren; E Laverne Manos; Daniel W Connolly; Lemuel R Waitman
Journal:  NI 2012 (2012)       Date:  2012-06-23

4.  Toward the design of a nursing ontology system.

Authors:  Peter Benedik; Uroš Rajkovič; Olga Šušteršič
Journal:  Comput Inform Nurs       Date:  2014-12       Impact factor: 1.985

5.  Precision Health: Emerging Science for Nursing Research.

Authors:  Eileen Danaher Hacker; Ann Marie McCarthy; Holli DeVon
Journal:  Nurs Outlook       Date:  2019-06-22       Impact factor: 3.250

6.  Design and evaluation of a bacterial clinical infectious diseases ontology.

Authors:  Claire L Gordon; Stephanie Pouch; Lindsay G Cowell; Mary Regina Boland; Heather L Platt; Albert Goldfain; Chunhua Weng
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

7.  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

8.  Archetype modeling methodology.

Authors:  David Moner; José Alberto Maldonado; Montserrat Robles
Journal:  J Biomed Inform       Date:  2018-02-14       Impact factor: 6.317

Review 9.  Clinical information modeling processes for semantic interoperability of electronic health records: systematic review and inductive analysis.

Authors:  Alberto Moreno-Conde; David Moner; Wellington Dimas da Cruz; Marcelo R Santos; José Alberto Maldonado; Montserrat Robles; Dipak Kalra
Journal:  J Am Med Inform Assoc       Date:  2015-03-21       Impact factor: 4.497

10.  Nursing-sensitive indicators: a concept analysis.

Authors:  Liza Heslop; Sai Lu; Xiaoquan Xu
Journal:  J Adv Nurs       Date:  2014-08-12       Impact factor: 3.187

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  1 in total

1.  A Methodology to Generate Longitudinally Updated Acute-On-Chronic Liver Failure Prognostication Scores From Electronic Health Record Data.

Authors:  Jin Ge; Nader Najafi; Wendi Zhao; Ma Somsouk; Margaret Fang; Jennifer C Lai
Journal:  Hepatol Commun       Date:  2021-03-12
  1 in total

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