Which one? A suggested approach for evaluating digital health maturity models
Leanna Woods, Rebekah Eden, Rhona Duncan, Zack Kodiyattu, Sophie Macklin, Clair Sullivan
Abstract
Background Digital health maturity models allow healthcare organizations to evaluate digital health capability and to develop roadmaps for improving patient care through technology. There are many models available commercially for healthcare providers to use to assess their digital health maturity. Currently, there are limited evidence-based methods to assess the quality, utility, and efficacy of maturity models to select the most appropriate model for the given context. Objective To develop a framework to assess digital maturity models and facilitate recommendations for digital maturity model selection. Methods A systematic, consultative, and iterative process was used. Literature analyses and a stakeholder needs analysis ( n = 23) was conducted to develop content and design considerations. These considerations were incorporated into the initial version of the framework developed by researchers in a design workshop. External stakeholder review ( n = 20) and improvements strengthened and finalized the framework. Results The criteria of the framework include assessment of healthcare context, feasibility, integrity, completeness and actionability. Users can compare model performance in order to select the most appropriate model for their context. Conclusion The framework provides healthcare stakeholders with a consistent and objective methodology to compare digital health maturity models, informing approaches to choosing a suitable model. This is a critical step as healthcare evolves towards a digital health system focused on improving the quality of care, reducing costs and improving the provider and consumer experience.