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Related Concept Videos

Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic illness...
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Data Validation01:03

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Current Trends in Nursing I01:28

Current Trends in Nursing I

Current trends in nursing include:

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Related Experiment Videos

The Maturity of Maturity Models in Health Care and Informatics.

Adam Wilcox1, David A Dorr2, Boyd Knosp3

  • 1Washington University in St Louis.

AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|June 19, 2026
PubMed
Summary
This summary is machine-generated.

Maturity models assess organizational capability. A new meta-maturity model evaluates these models, revealing wide variations in effectiveness and guiding improvements for healthcare informatics applications.

Related Experiment Videos

Area of Science:

  • Health Informatics
  • Organizational Science
  • Model Development

Background:

  • Maturity models are increasingly used to assess organizational capabilities, particularly in health care informatics.
  • A key challenge is determining the 'maturity' or functionality of these assessment models themselves.
  • Numerous maturity models have been developed for specific health care informatics domains.

Purpose of the Study:

  • To develop a meta-maturity model for evaluating the quality and functionality of existing maturity models.
  • To assess the effectiveness and variation among maturity models used in health care informatics.
  • To provide guidance for selecting and improving maturity models.

Main Methods:

  • Development of a novel meta-maturity model framework.
  • Application and evaluation of the meta-maturity model to a set of existing maturity models.
  • Analysis of the distribution and characteristics of assessed models.

Main Results:

  • Significant variation in the effectiveness and quality of maturity models was observed.
  • The meta-maturity model successfully differentiated between more and less functional models.
  • Identified areas where current maturity models in health care informatics can be enhanced.

Conclusions:

  • The developed meta-maturity model is a valuable tool for assessing maturity models in health care informatics.
  • It aids organizations in selecting appropriate models and assists developers in model refinement.
  • Promotes a higher standard for the design and application of maturity models in the field.