A unified component-based data-driven framework to support interoperability in the healthcare systems

Area of Science:

• Health Informatics
• Information Systems Engineering

Background:

• Healthcare delivery is shifting towards patient-centered, data-driven models.
• Increased interoperability is crucial for personalized healthcare and managing diverse data types.
• Significant challenges hinder healthcare interoperability, including technical, privacy, and regulatory issues.

Purpose of the Study:

• To determine interoperability solutions for healthcare organizations.
• To develop a comprehensive, component-based, data-driven framework for healthcare systems.
• To validate the proposed framework using expert consensus.

Main Methods:

• Conducted a literature review of interoperability requirements and solutions.
• Performed a qualitative study with focus groups to develop the framework.
• Utilized the Delphi method for expert validation of the framework.

Main Results:

• Identified and categorized key themes including architecture, standards, platforms, policies, and data considerations.
• Developed a 197-component framework for healthcare interoperability.
• Achieved unanimous expert approval for all framework components.

Conclusions:

• A comprehensive architecture is essential for successful health information system interoperability.
• The developed framework facilitates the implementation of diverse interoperability types in healthcare.
• The framework supports the transition to patient-centered, data-driven healthcare delivery.