Nursing Documentation Mapping Rules/Heuristics

This document summarizes the foundational mapping rules for nursing documentation in electronic health records.  The mapping rules follow the LOINC(c) and SNOMED Clinical Terms(c) industry data standards.  

This document created by the Nursing Knowledge Big Data Science Encoding-Modeling Workgroup is licensed under the Creative Commons Attribution Non-Commercial-Share Alike 4.0 International License in January, 2020. To view a summary of the license, go tohttps://creativecommons.org/licenses/by-nc-/4.0/legalcode.

2019 Nursing Knowledge: Big Data Science Conference Proceedings

The seventh-annual Nursing Knowledge: Big Data Science (NKBDS) Conference brought together professionals from academia, practice, research, information technology, health systems and standards organizations. Currently, there are 11 virtual workgroups, which shared their accomplishments to advance sharable and comparable nurse sensitive data integrated with patient, interprofessional and social determinants of health data to improve health and health care.

Clinical Data Analytics Workgroup

Lisiane Pruinelli, PhD, MS, RN
pruin001@umn.edu

Dr. Pruinelli presented the purpose of the Clinical Data Analytics Workgroup with the emergence of objectives over the past 7 years.  She described the engagement of national participants in collaborative data science,  current nursing data science publications and population health informatics. She highlighted how healthcare organizations have collaborated on validation of information models to standardize flowsheet data for expanding common data models to support quality improvement and research.