Bridging the Gap: Integrating Vital Signs Data into Project NeLL for Nursing Education in Data Science
Presentation Time: 10:45 AM - 11:00 AM
Abstract Keywords: Education and Training, Nursing Informatics, Information Visualization
Primary Track: Applications
Programmatic Theme: Academic Informatics / LIEAF
In the evolving landscape of healthcare, integrating data science into nursing education is paramount. Project NeLL (Nurse’s Electronic Learning Laboratory) addresses this need by incorporating vital signs information into its suite of applications, enhancing education in data science for nursing students. This effort involved categorizing vital signs, utilizing regex and algorithms for data extraction, and meticulously organizing the data around unique patient encounters. Our methodology ensured a precise reflection of recorded vital signs, enriching the Project NeLL database with high-quality, comprehensive data.
The result of this integration is the processing of 39,718,223 vital signs records from over a decade, covering 660,670 patients and 5,832,494 encounters. This dataset, supported by a detailed data dictionary, includes diverse metrics such as blood pressure, heart rate, and temperature, among others. Preliminary analysis confirms the accuracy and completeness of the data, providing a robust educational tool that simulates real-world clinical scenarios.
The inclusion of vital signs data in Project NeLL marks a significant advancement in nursing education, offering a holistic view of patient health, and enhancing students' analytical skills. Despite challenges such as data variation and inconsistency, ongoing efforts aim to refine extraction algorithms and validation processes. This initiative not only prepares students for the data-centric future of healthcare but also bridges the gap between nursing education and data science, empowering future nurses with essential data-driven decision-making skills.
Speaker(s):
Ramya Govindarajan, Director
Emory University
Presentation Time: 10:45 AM - 11:00 AM
Abstract Keywords: Education and Training, Nursing Informatics, Information Visualization
Primary Track: Applications
Programmatic Theme: Academic Informatics / LIEAF
In the evolving landscape of healthcare, integrating data science into nursing education is paramount. Project NeLL (Nurse’s Electronic Learning Laboratory) addresses this need by incorporating vital signs information into its suite of applications, enhancing education in data science for nursing students. This effort involved categorizing vital signs, utilizing regex and algorithms for data extraction, and meticulously organizing the data around unique patient encounters. Our methodology ensured a precise reflection of recorded vital signs, enriching the Project NeLL database with high-quality, comprehensive data.
The result of this integration is the processing of 39,718,223 vital signs records from over a decade, covering 660,670 patients and 5,832,494 encounters. This dataset, supported by a detailed data dictionary, includes diverse metrics such as blood pressure, heart rate, and temperature, among others. Preliminary analysis confirms the accuracy and completeness of the data, providing a robust educational tool that simulates real-world clinical scenarios.
The inclusion of vital signs data in Project NeLL marks a significant advancement in nursing education, offering a holistic view of patient health, and enhancing students' analytical skills. Despite challenges such as data variation and inconsistency, ongoing efforts aim to refine extraction algorithms and validation processes. This initiative not only prepares students for the data-centric future of healthcare but also bridges the gap between nursing education and data science, empowering future nurses with essential data-driven decision-making skills.
Speaker(s):
Ramya Govindarajan, Director
Emory University
Bridging the Gap: Integrating Vital Signs Data into Project NeLL for Nursing Education in Data Science
Category
Podium Abstract