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

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

doi:10.1093/jamia/ocaa166

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

J Am Med Inform Assoc. 2020 Nov 1;27(11):1732-1740. doi: 10.1093/jamia/ocaa166.

Authors

Bonnie L Westra¹, Kay S Lytle², Luann Whittenburg³, Mischa Adams⁴, Samira Ali⁵, Meg Furukawa⁶, Stephanie Hartleben⁷, Mary Hook⁸, Steve Johnson⁹, Sarah Collins Rossetti^{10

11}, Tess Theresa Settergren^{10

11

12}

Affiliations

¹ School of Nursing, University of Minnesota, Minneapolis, Minnesota, USA.
² Health System Nursing and Duke Health Technology Solutions, Duke University Health System, Durham, North Carolina, USA.
³ Health Informatics, Washington, DC, USA.
⁴ HealthCatalyst, Salt Lake City, Utah, USA.
⁵ School of Nursing, Wilkes University, Wilkes-Barre, Pennsylvania, USA.
⁶ Department of Information Services and Solutions, UCLA Health, Los Angeles, California, USA.
⁷ Elsevier Clinical Solutions, Bismarck, North Dakota, USA.
⁸ Center for Nursing Practice and Research, Advocate Aurora Health Care, Milwaukee, Wisconsin, USA.
⁹ Institute of Health Informatics and School of Nursing, University of Minnesota, Minneapolis, Minnesota, USA.
¹⁰ Department of Biomedical Informatics, Columbia University, New York, New York, USA.
¹¹ School of Nursing, Columbia University, New York, New York, USA.
¹² Independent Consultant.

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.

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

MeSH terms

Electronic Health Records*
Humans
Models, Theoretical*
Nursing Records*
Organizational Case Studies
Quality Improvement
Reproducibility of Results
Software Design
Urologic Diseases*