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Published on: February 13, 2020
Research IT maturity models for academic health centers: Early development and initial evaluation
Boyd M Knosp1, William K Barnett2, Nicholas R Anderson3
1Roy J. and Lucille A. Carver College of Medicine and the Institute for Clinical and Translational Science, University of Iowa, Iowa City, IA, USA.
Maturity models offer a standardized approach to guide strategic investments in research IT infrastructure. They assess organizational readiness and sustainability, improving IT planning and investment decisions in academic health centers.
Area of Science:
- Health Informatics
- Information Technology Management
Background:
- Effective health science research increasingly depends on robust research IT systems.
- Academic health centers face pressures from data growth, technological advancements, and regulatory challenges, driving IT investment.
- Current research IT investment strategies lack standardization and comparable guidance across institutions.
Purpose of the Study:
- To propose the creation and application of maturity models for research IT.
- To guide institutional strategic investment in research informatics and information technology (research IT).
- To measure readiness for clinical and research infrastructure and sustainability of expertise.
Main Methods:
- Development and application of maturity models.
- Assessment of current organizational state and readiness for IT investment.
- Pilot studies involving engagement with medical school IT leaders and refinement across peer institutions.
Main Results:
- Maturity models provide a framework for evaluating research IT investments.
- They enable consistent approaches to research IT implementation across academic health centers.
- Pilot work demonstrates the utility of maturity models in planning and cross-institutional application.
Conclusions:
- Maturity models can standardize and improve strategic planning and investment in research IT.
- They offer a mechanism to link IT investments to institutional goals and assess readiness.
- These models are valuable tools for leadership in navigating complex research IT landscapes.
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