Understanding the Challenges of Implementing Decision Support Technologies in Healthcare
Author Information
Author(s): Elwyn Glyn, Légaré France, Weijden Trudy van der, Edwards Adrian, May Carl
Primary Institution: Cardiff University
Hypothesis
Can the Normalization Process Model explain the difficulties in embedding decision support technologies in routine clinical practice?
Conclusion
The Normalization Process Model effectively identifies factors that promote and inhibit the implementation of decision support technologies in healthcare.
Supporting Evidence
- Decision support technologies help patients and professionals in decision-making but are not widely adopted.
- The Normalization Process Model provides a framework for understanding the embedding of complex interventions in healthcare.
- Implementation challenges include interactional workability and the need for organizational support.
Takeaway
This study looks at why it's hard to use decision aids in healthcare, showing that it's not just about the tools but also how people work together and the environment they are in.
Methodology
The study used a conceptual analysis based on the Normalization Process Model to examine existing research and reviews on decision support technologies.
Potential Biases
The focus on interactional factors may overlook other important aspects of implementation.
Limitations
The study relies on interpretive analysis rather than structured data collection, which may limit the findings.
Digital Object Identifier (DOI)
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