Nursing knowledge captured in electronic health records

The purpose of this study was to describe the extent to which nursing assessment data was present in the electronic health record and linked to NANDA-I, NIC, and NOC.

This retrospective review used a descriptive approach to examine documentation in the electronic health records (EHR) of 10 hospitalized patients requiring cardiac surgery. A team of experts applied a Delphi consensus-building process to identify the supports and barriers for nursing documentation.

Collection of the health history was organized using Gordon's Functional Health Pattern (FHP) Framework. Seventy-five fields were noted for the entry of nursing assessment data of which 65 focused on health history data and 30 documented physical findings and observations. There were no references to the defining characteristics or etiologies with any of the diagnostic labels used. Care plans included the nursing diagnoses, goals of care, and interventions, although there was a lack of clear alignment between the assessment, NANDA-I, NIC, and NOC and the care plan. Progress note documentation addressed significant events in the patient's clinical course; however, these were not nursing problem or diagnosis focused. Four expert reviewers arrived at consensus regarding the supports and challenges impacting nurses' ability to document data depicting nursing's contribution to care using a FHP and standardized nursing language in the EHR.

The EHR provides an opportunity to reflect nursing clinical judgment and make nursing care visible. These findings suggest there are challenges to capturing nurse focused data elements in the EHR.

This work has important implications for clinicians, educators, and administrators alike. EHR systems must accurately capture nurses' contribution to patient care to plan for resource allocation and quality care delivery. Ultimately, the development of standardized data sources reflecting the outcomes of nursing care will expand the opportunities to advance nursing knowledge.