Big Data Education for Clinical Documentation

Author:

Jenkins Melinda1,Katz Judith2,Omary Courtney2,Ahmad Suzan1,Govindarajan Ramya2,Simpson Roy2

Affiliation:

1. School of Nursing, Rutgers University

2. Nell Woodruff Hodgson School of Nursing, Emory University

Abstract

Nursing educators and students need new competencies and tools for creating and analyzing clinical documentation and big data to maximize value-based reimbursements and data sharing.  Carefully structured and shareable documentation of nursing diagnoses, goals, interventions and outcomes, available in the EHR (electronic health record), may be aggregated and analyzed to provide a foundation for population health, quality improvement and clinical research.  One way to access anonymized clinical data for use in academic and clinical data sharing is via Project NeLL™ (Nurses electronic Learning Laboratory™), an innovative suite of online applications for teaching and practicing nursing data science from the Nell Woodruff Hodgson School of Nursing of Emory University's Center for Data Science.  Emory is collaborating with Rutgers University School of Nursing to teach graduate students using Project NeLL.

Publisher

Society for Clinical Management

Subject

General Medicine

Reference24 articles.

1. 1. American Association of Colleges of Nursing. (2021). The Essentials: Core competencies for professional nursing education. Accessed Apr. 26, 2023. https://www.aacnnursing.org/Portals/42/AcademicNursing/pdf/Essentials-2021.pdf

2. 2. Project NeLL. Nell Woodruff Hodgson School of Nursing of Emory University Center for Data Science. Updated 2022. Accessed Oct. 15, 2022. https://www.nursing.emory.edu/pages/project-nell

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