Creating Case Studies for Digital Health and Technology Competency in Nursing.

BACKGROUND: Nursing programs and their faculty must ensure that graduates have the informatics, digital health, and health care technologies competencies needed by health systems. PROBLEM: A gap exists in nursing faculty knowledge, skills, and abilities for incorporating informatics, digital health, and technologies across curricula because of low focus on this area in faculty development initiatives and rapid adoption and evolution of technologies in health care systems. APPROACH: The Nursing Knowledge Big Data Science initiative Education Subgroup used a process to create case studies for including informatics, digital health, and the concomitant clinical reasoning/critical thinking competencies across curricula. OUTCOMES: Three case study examples were created using the process. CONCLUSIONS: The process for creating case studies that incorporate required informatics, digital health, and health care technologies can be used by nursing educators for teaching across their curricula and to assess student competency.

Standardizing documentation for postoperative nausea and vomiting in the electronic health record.

Postoperative nausea and vomiting (PONV) remains a common postoperative complication that causes patient discomfort and increases health care costs. Clinicians use the American Society of PeriAnesthesia Nurses (ASPAN) guideline to help prevent and treat PONV. However, the lack of standardized terminology in the electronic health record (EHR) and the lack of clinical decision support tools make it difficult for clinicians to document guideline implementation and to determine the effects of nursing care on PONV. To address this, we created a concept map of the Perioperative Nursing Data Set (PNDS) that illustrates the relationship between elements of this standardized nursing terminology and the ASPAN guideline, using the Systematized Nomenclature of Medicine-Clinical Terms multidisciplinary terminology to fill any gaps. This mapping results in a standardized dataset specific to PONV for use in an EHR, which links nursing care to nursing diagnoses, interventions, and outcomes. The mapping and documentation in the EHR also allows standardized data collection for research, evaluation, and benchmarking, which makes perioperative nursing care of patients who are at risk for or experiencing PONV measureable and visible. Distributing this information to perioperative and perianesthesia nursing personnel, in addition to implementing risk assessment tools for PONV and clinical support alerts in electronic documentation systems, will help support implementation of the PONV clinical practice guideline in the EHR.