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Nurses' Perspective of Barrier Structure and Promotion Strategies for Digital Health Transformation: An Interpretive

Naotaka Sugimura1,2, Kazuki Ohashi3, Tomoki Kuribara4

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Summary
This summary is machine-generated.

Digital health transformation faces complex barriers. This study identified and structured these barriers, revealing that nursing

Keywords:
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Area of Science:

  • Health Informatics
  • Healthcare Management
  • Nursing Research

Background:

  • Digital health transformation presents complex, multifaceted barriers.
  • Understanding these barriers is crucial for successful implementation in healthcare systems.
  • Previous research has not systematically organized these challenges.

Purpose of the Study:

  • To identify and elucidate the relationships among barriers to digital health transformation.
  • To develop a comprehensive model for understanding these obstacles.
  • To provide insights for effective digital health strategy development.

Main Methods:

  • Utilized Interpretive Structural Modeling (ISM) and Cross Impact Matrix-Multiplication Applied to Classification (CIM) for analysis.
  • Conducted a brainstorming session with 3 nursing researchers to identify 11 key barriers.
  • Mathematically processed barrier elements to construct a hierarchical structural diagram.

Main Results:

  • Identified 11 distinct barriers to digital health transformation.
  • Developed a hierarchical structural diagram visualizing the relationships between barriers.
  • Classified barrier characteristics using CIM analysis, confirming content validity.
  • Successfully organized multilayered barriers into an easily understandable comprehensive model.

Conclusions:

  • Organizational culture within nursing is fundamental to promoting digital health transformation.
  • Collaboration among clinical, developmental, and policy stakeholders is essential.
  • Future strategies should adopt flexible approaches like SWOT analysis and Decision-Making Trial and Evaluation Laboratory (DEMATEL).