Cloud Image Data Center for Healthcare Network in Taiwan

Area of Science:

• Health Informatics
• Cloud Computing in Healthcare
• Medical Imaging

Background:

• Healthcare networks require efficient communication and data sharing.
• Centralized medical image data centers can improve accessibility and collaboration.
• Taiwan's Veterans Hospital network sought to optimize its distributed healthcare services.

Purpose of the Study:

• To investigate the implementation and performance of a cloud image data center (CIDC) within a healthcare network.
• To evaluate the CIDC's impact on inter-hospital communication, image accessibility, and patient care efficiency.
• To assess the benefits of cloud computing architecture for information sharing in a multi-hospital system.

Main Methods:

• A case study approach was employed within the Veterans Hospital healthcare network in central Taiwan.
• The study focused on four constituent hospitals utilizing a practical cloud image data center (CIDC).
• Data on system performance, including image access and report assistance, was collected over five years.

Main Results:

• Over five years, 132,712 cross-hospital medical images were accessed via the CIDC.
• Taichung Veterans General Hospital (TVGH) provided 4,424 instances of image report assistance to branches through the CIDC.
• The CIDC implementation led to improvements in management, operational efficiency, service speed, and quality of care.

Conclusions:

• The cloud image data center (CIDC) effectively facilitates synchronous and asynchronous consultations and medical image sharing.
• The system enhances equipment utilization and reduces patient waiting times by enabling remote evaluation.
• Continued expansion of cloud computing architecture is recommended for improved information sharing across healthcare networks.