Valuing Digital Health: Using Stakeholder Preferences to Inform the Evaluation of Digital Health Maturity

Lewandowska, Milena

Valuing Digital Health: Using Stakeholder Preferences to Inform the Evaluation of Digital Health Maturity

Lewandowska, Milena

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Publication Type:: Thesis
Issue Date:: 2026

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Field	Value	Language
dc.contributor.author	Lewandowska, Milena
dc.date.accessioned	2026-08-06T06:14:55Z
dc.date.available	2026-08-06T06:14:55Z
dc.date.issued	2026
dc.identifier.uri	http://hdl.handle.net/10453/195953
dc.description	University of Technology Sydney. Faculty of Health.	en_US.UTF-8
dc.description.abstract	Digital maturity in healthcare reflects an organisation’s ability to use technology to generate value through innovative solutions. As digital health adoption accelerates, robust approaches are required to evaluate clinical, economic, and stakeholder outcomes. Traditional economic evaluation frameworks often fail to capture the dynamic, user-centred, and system-wide impacts of these technologies. This thesis examines how value is defined and assessed for digital health, with a focus on artificial intelligence (AI) in oncology. A scoping review identified key challenges in existing AI evaluation frameworks, including an overreliance on accuracy metrics rather than clinical effectiveness, and limited consideration of implementation and equity. A critical gap emerged: the need for value assessments that incorporate stakeholder perspectives, particularly within the Australian healthcare context. To address this gap, the thesis applies stated preference methods to elicit stakeholder values. Empirical evidence from two discrete choice experiments and a best–worst scaling survey quantifies stakeholder preferences for AI in oncology and national digital health priorities in Australia. These findings provide practical guidance for aligning digital health strategies with user values. By integrating stakeholder perspectives into value assessment, this research supports more responsible, effective, and equitable implementation of digital health technologies across healthcare systems.	en_US.UTF-8
dc.format	Thesis (PhD)
dc.language.iso	en_US	en_US.UTF-8
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/195953/1/thesis.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	© 2026 Milena Lewandowska
dc.rights	au.edu.uts.lib/cph
dc.title	Valuing Digital Health: Using Stakeholder Preferences to Inform the Evaluation of Digital Health Maturity	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

Digital maturity in healthcare reflects an organisation’s ability to use technology to generate value through innovative solutions. As digital health adoption accelerates, robust approaches are required to evaluate clinical, economic, and stakeholder outcomes. Traditional economic evaluation frameworks often fail to capture the dynamic, user-centred, and system-wide impacts of these technologies. This thesis examines how value is defined and assessed for digital health, with a focus on artificial intelligence (AI) in oncology. A scoping review identified key challenges in existing AI evaluation frameworks, including an overreliance on accuracy metrics rather than clinical effectiveness, and limited consideration of implementation and equity. A critical gap emerged: the need for value assessments that incorporate stakeholder perspectives, particularly within the Australian healthcare context. To address this gap, the thesis applies stated preference methods to elicit stakeholder values. Empirical evidence from two discrete choice experiments and a best–worst scaling survey quantifies stakeholder preferences for AI in oncology and national digital health priorities in Australia. These findings provide practical guidance for aligning digital health strategies with user values. By integrating stakeholder perspectives into value assessment, this research supports more responsible, effective, and equitable implementation of digital health technologies across healthcare systems.

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http://hdl.handle.net/10453/195953