Healthcare reform has increased the digitization of health and care data while causing a growing need to capture, manage and share data. And, although nurses spend a great deal of time electronically documenting care, nursing data is not always captured in a way that describes how care improves outcomes, supports decision making, or contributes to healthcare planning.
To help address this concern, the HIMSS Big Data Principles Workgroup was formed and tasked with developing Guiding Principles for Big Data in Nursing to:
● define big data guiding principles;
● explore barriers and challenges;
● develop a framework for universal requirements;
● identify differences in the context of nursing outcomes;
● address the impact of health IT system versions/ configurations;
● analyze the variation in quality measures, and
● discuss implementation challenges.
The opportunity exists for nursing sensitive data to be included in big data sets and to produce system-wide improvement at a scale that enables healthcare system stakeholders to realize its full potential. There is a growing need to capture, manage, and share health information, as a series of structured data elements, in order to produce a holistic, longitudinal, patient-centered framework....more
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