The Dawn of PACS 3.0: The Evolution from Image Access to Workflow Intelligence

Area of Science:

• Medical Imaging Informatics
• Radiology Workflow Optimization
• Health IT Evolution

Background:

• Picture Archiving and Communication Systems (PACS) have undergone significant evolution driven by technological advancements and clinical demands.
• Past PACS generations focused on digitization, local management, enterprise distribution, and geographic access.
• Current radiology practices necessitate a new phase of PACS development to address evolving needs.

Purpose of the Study:

• To define and propose PACS 3.0 as the next evolutionary phase of Picture Archiving and Communication Systems.
• To highlight the integration of workflow-centered intelligence and artificial intelligence within PACS.
• To outline how PACS 3.0 can enhance efficiency and quality of care in radiology.

Main Methods:

• Conceptual framework development for PACS 3.0.
• Analysis of historical PACS evolution and current trends in medical imaging.
• Proposal for integrating artificial intelligence into the clinical radiology workflow.

Main Results:

• Identification of PACS 3.0 characterized by workflow-centered intelligence.
• Anticipation of AI integration to support radiologists and technologists in routine tasks.
• Definition of PACS 3.0 as a system designed for efficient and high-quality care delivery.

Conclusions:

• PACS 3.0 represents a paradigm shift from image storage and delivery to intelligent workflow integration.
• The incorporation of AI in PACS 3.0 is crucial for optimizing radiologist and technologist performance.
• PACS 3.0 promises to enhance operational efficiency while upholding the highest standards of patient care in radiology.