A Calculator for the Maturity Model for Medical Patient Registries - Lessons Learned.

Abstract

Introduction: Patient registries are an important resource for medical research and decision making. However, registry quality is difficult to assess due to their vast differences in structure and function. The Registry Maturity Model offers a way to self-assess the quality.

State-of-the-art: The Registry Maturity Model is an established approach to assessing registry maturity. However, its current implementation in Excel poses practical challenges in terms of scalability and accessibility for widespread use within the registry community.

Concept: To improve accessibility and scalability, we developed a publicly available and user-friendly web application.

Implementation: The user interface of our application guides users through the quality attributes of the model via structured questions with predefined answer options. Inputs are instantly processed to calculate and visualize the maturity level across the various utility dimensions in real time. For continuity and reuse, the results can be saved and reused.

Lessons learned: Our application aims to improve the model's usability, scalability and maintainability and makes it easier for stakeholders to evaluate a registries quality for their use purpose.