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Guidelines For Measuring Vital Signs

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Related Experiment Video

Updated: Jun 20, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Measuring spiritual care with informatics.

Lisa Burkhart¹, Ida Androwich

¹Marcella Niehoff School of Nursing, Loyola University Chicago, Chicago, Illinois, USA. eburkha@luc.edu

ANS. Advances in Nursing Science

|August 27, 2009

Summary

This study explores using informatics theory to improve nursing data repositories within electronic health records. It offers methods for reliable data collection and analysis, especially for soft nursing dimensions like spiritual care.

Related Experiment Videos

Last Updated: Jun 20, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Area of Science:

Nursing Informatics
Health Informatics
Data Science in Healthcare

Background:

The increasing adoption of electronic health records (EHRs) presents a critical opportunity for nursing research.
Developing robust data repositories is essential for advancing nursing theory and practice.
Challenges exist in capturing and analyzing nuanced aspects of nursing care within EHR systems.

Purpose of the Study:

To apply informatics theory to guide the design of nursing documentation screens in EHRs.
To outline methods for analyzing nursing data, ensuring reliability and validity.
To demonstrate the capture and analysis of "soft" nursing dimensions, using spiritual care as an example.

Main Methods:

Utilizing informatics theory to inform the design of user interfaces for nursing documentation.
Implementing strategies to enhance data reliability and validity in EHRs.
Developing analytical approaches for previously undocumented or unmeasured nursing care aspects.

Main Results:

Informatics theory provides a framework for optimizing nursing data capture in EHRs.
Methods were identified to improve the quality and utility of nursing-generated data.
The study successfully demonstrated approaches for documenting and analyzing spiritual care within the EHR.

Conclusions:

Informatics theory is crucial for developing effective nursing data repositories.
Reliable measurement of both hard and soft aspects of nursing care is achievable through thoughtful EHR design and data analysis.
This work supports the integration of comprehensive, data-driven nursing research and practice.