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The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

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Why don't innovation models help with informatics implementations?

¹Faculty of Health and Life Sciences, School of Health and Social Care, University of the West of England, Bristol, UK. rod.ward@uwe.ac.uk

Studies in Health Technology and Informatics

|September 16, 2010

Summary

This summary is machine-generated.

This study examines technological innovation acceptance models, highlighting human and organizational factors crucial for healthcare informatics adoption. Complex models often hinder practical application, necessitating a clearer understanding of staff acceptance versus resistance.

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Area of Science:

Health Informatics
Technology Adoption
Organizational Behavior

Background:

Numerous models exist to explain technological innovation acceptance and diffusion.
Human and organizational factors significantly influence these adoption processes.
Application of these models within healthcare settings requires careful consideration.

Purpose of the Study:

To describe and analyze various models of technological innovation acceptance.
To critique the application of these models in healthcare, specifically the UK's National Health Service.
To assess the strengths and weaknesses of existing models, particularly their limited empirical testing.

Main Methods:

Literature review of technological innovation acceptance models.
Analysis of factors influencing adoption, with emphasis on human and organizational elements.
Critique of a 2005 systematic review applying models to the UK National Health Service.

Main Results:

Existing theoretical models are complex and difficult to apply in practice.
Minimal empirical testing has been conducted on many innovation acceptance models.
The efficacy of current models in supporting informatics implementations is questionable.

Conclusions:

The complexity of theoretical models challenges their utility in supporting informatics implementations.
A deeper understanding of factors driving staff acceptance and resistance to informatics innovation is essential.
Further research is needed to develop more practical and empirically validated models for healthcare settings.