The Maturity of Maturity Models in Healthcare and Informatics
Poster Number: P208
Presentation Time: 05:00 PM - 06:30 PM
Abstract Keywords: Knowledge Representation and Information Modeling, Standards, Change Management
Working Group: Informatics Maturity Working Group
Primary Track: Applications
Programmatic Theme: Clinical Informatics
Maturity models are increasingly used to describe how different technologies or methods can be applied to a discipline. In health care, many maturity models have been developed and more are under active development, sometimes for similar topics. A challenge in both applying and developing maturity models is that all models are not equal in their sophistication or utility. In fact, there appears to be differences in maturity of different maturity models. In this paper, we describe the development, validation and application of a meta-maturity model, or a maturity model that describes the staged development of maturity models. We developed the meta-maturity model through an exploratory research stage while developing and assessing various maturity models. We then used a confirmatory research approach to assess and validate the model, by performing a literature search of maturity models in health care and then categorizing the models according to the meta-maturity model. We describe the meta-maturity model, provide examples of the different maturity levels, and report the distribution of maturity models in health care for the different levels of the meta-maturity model. The distribution provides insight to how maturity models develop over time, and can be useful for maturity model developers to help them target higher-value models by the characterists of the meta-maturity levels.
Speaker(s):
Adam Wilcox, PhD
Washington University in St. Louis
Author(s):
Adam Wilcox, PhD - Washington University in St. Louis; David Dorr, MD - Oregon Health & Science University; Boyd Knosp, MS, FAMIA - University of Iowa; Robin Champieux, MLIS - Oregon Health & Science University; William Barnett, PhD - Harvard Medical School; Nicholas Anderson, PhD - University of California, Davis; Justin Starren, MD, PhD - University of Arizona; Jodyn Platt, PhD, MPH - University of Michigan Medical School; Ashish Vaidyanathan, N/A - Washington University in St Louis; Peter Embí, MD - Vanderbilt University Medical Center;
Poster Number: P208
Presentation Time: 05:00 PM - 06:30 PM
Abstract Keywords: Knowledge Representation and Information Modeling, Standards, Change Management
Working Group: Informatics Maturity Working Group
Primary Track: Applications
Programmatic Theme: Clinical Informatics
Maturity models are increasingly used to describe how different technologies or methods can be applied to a discipline. In health care, many maturity models have been developed and more are under active development, sometimes for similar topics. A challenge in both applying and developing maturity models is that all models are not equal in their sophistication or utility. In fact, there appears to be differences in maturity of different maturity models. In this paper, we describe the development, validation and application of a meta-maturity model, or a maturity model that describes the staged development of maturity models. We developed the meta-maturity model through an exploratory research stage while developing and assessing various maturity models. We then used a confirmatory research approach to assess and validate the model, by performing a literature search of maturity models in health care and then categorizing the models according to the meta-maturity model. We describe the meta-maturity model, provide examples of the different maturity levels, and report the distribution of maturity models in health care for the different levels of the meta-maturity model. The distribution provides insight to how maturity models develop over time, and can be useful for maturity model developers to help them target higher-value models by the characterists of the meta-maturity levels.
Speaker(s):
Adam Wilcox, PhD
Washington University in St. Louis
Author(s):
Adam Wilcox, PhD - Washington University in St. Louis; David Dorr, MD - Oregon Health & Science University; Boyd Knosp, MS, FAMIA - University of Iowa; Robin Champieux, MLIS - Oregon Health & Science University; William Barnett, PhD - Harvard Medical School; Nicholas Anderson, PhD - University of California, Davis; Justin Starren, MD, PhD - University of Arizona; Jodyn Platt, PhD, MPH - University of Michigan Medical School; Ashish Vaidyanathan, N/A - Washington University in St Louis; Peter Embí, MD - Vanderbilt University Medical Center;
The Maturity of Maturity Models in Healthcare and Informatics
Category
Poster Invite
Description
Date: Monday (11/11)
Time: 05:00 PM to 06:30 PM
Room: Grand Ballroom (Posters)
Time: 05:00 PM to 06:30 PM
Room: Grand Ballroom (Posters)