A national action plan for sharable and comparable nursing data to support practice and translational research for transforming health care

Abstract

Foundational to integrating nursing data into clinical data repositories for big data and science, is the implementation of standardized nursing terminologies, common data models, and information structures within EHRs. The 2014 National Action Plan for Sharable and Comparable Nursing Data for Transforming Health and Healthcare builds on and leverages existing, but separate long standing efforts of many individuals and organizations. The plan is action focused, with accountability for coordinating and tracking progress designated.

Prevalence of nursing diagnoses as a measure of nursing complexity in a hospital setting

“…Unfortunately, nursing is poorly represented in healthcare records (Westra et al . ). Nursing documentation should help to enhance the efficiency of the decision‐making processes in the clinical and management fields by improving the methods of data collection and storage (Juve‐Udina ).…”

“…The quality of health care, frequently measured using clinical medical data, cannot be assessed effectively without assessing the quality of the nursing care (Maas & Delaney 2004). Unfortunately, nursing is poorly represented in healthcare records (Westra et al 2015). Nursing documentation should help to enhance the efficiency of the decisionmaking processes in the clinical and management fields by improving the methods of data collection and storage (Juve-Udina 2013).…”

Developing an Integrated Image Bank and Metadata for Large-scale Research in Cerebrovascular Disease: Our Experience from the Stroke Image Bank Project

“…3 The World Health Organization's International Classification of Diseases coding version 10 4 and the systematized nomenclature of medicine-clinical terms (SNOMED-CT) (Cote and Robboy, 1980) provide a familiar and useful common vocabulary in clinical practice where other relevant data may be cross-referenced. ICD-10 and SNOMED-CT, in particular, are implemented as standards by health services in many countries hosting multi-site trials and has the additional benefit that allows integration with national health information systems and electronic health records (Westra et al, 2015). Figure 4 shows schematic diagram of the integrated metadata schema with its data elements, which have over 550 integrated searchable data items contained within them.…”

Reducing Emergency Room Visits and In‐Hospitalizations by Implementing Best Practice for Transitional Care Using Innovative Technology and Big Data

“…Knowledge discovery, the product of data science inquiries, strengthens the development of evidence‐based care models and clinical decision support (CDS) tools. When applied in a practice setting, it becomes possible to streamline clinical processes, while generating the data‐driven evidence needed to support and quantify the value of nursing care (Brennan & Bakken, ; Pruinelli, Delaney, Garcia, Caspers, & Westra, ; Westra et al., ). Data science innovations provide opportunities to analyze large datasets using modern methods that aim to improve healthcare quality, safety, and patient outcomes.…”