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Data transforming: A concept analysis.

Shuhong Luo1, Hongwei Wang2

  • 1Department of Nursing, College of Nursing and Health Science, Texas A&M International University, Laredo, Texas, USA.

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Summary
This summary is machine-generated.

This study explores how electronic health record (EHR) data becomes nurses' tacit knowledge. It identifies key attributes, origins, and outcomes of this data transformation process in nursing.

Keywords:
datainformaticsinnovationsqualitytechnology

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Area of Science:

  • Nursing Informatics
  • Knowledge Management
  • Cognitive Science

Background:

  • Understanding how nurses transform electronic health record (EHR) data into tacit knowledge is crucial for evidence-based practice.
  • This process occurs at a macro-organizational level and involves cognitive perspectives.
  • Identifying the attributes, antecedents, and consequences of this transformation is essential for nursing research.

Approach:

  • A comprehensive literature review was performed using key terms related to data, transformation, EHR, nursing, tacit knowledge, and healthcare.
  • The analysis included 49 articles and four books, ensuring a robust evidence base.
  • The review process was independently audited by two experts to maintain neutrality and credibility.

Key Points:

  • Data transforming is a complex cognitive process involving various data stakeholders within an organization.
  • The concept of data transforming is characterized by three core attributes: analytical, respectful, and social.
  • Skillful, immersive, and mission-driven factors serve as antecedents to these attributes.

Conclusions:

  • The transformation of EHR data into tacit nursing knowledge has significant, varied consequences for frontline nurses.
  • These findings contribute to the existing body of knowledge on nursing informatics and knowledge translation.
  • The study provides a foundation for future theory development and empirical research in nursing.