Large-Scale Teleradiology and Evolving Virtual Imaging Service in South Korea.

Teleradiology is one of the earliest successful telemedicine applications that has fueled the digital transformation of radiology services. It started as a point-to-point service for a single department. Now, there is a growing need for an enterprise-wide radiology platform involving multiple radiology departments with many different information technology infrastructures as radiology services are consolidating and reorganizing.

Artificial intelligence and machine learning in cancer imaging.

An increasing array of tools is being developed using artificial intelligence (AI) and machine learning (ML) for cancer imaging. The development of an optimal tool requires multidisciplinary engagement to ensure that the appropriate use case is met, as well as to undertake robust development and testing prior to its adoption into healthcare systems. This multidisciplinary review highlights key developments in the field.

Technologies in the patient-centered medical home: examining the model from an enterprise perspective.

Fee-for-service reimbursement has fragmented the healthcare system. Providers are paid based on the number of services rendered instead of quality, leading to the cost of care rising at a faster rate than its value. One approach to counter this is the Patient-Centered Medical Home (PCMH), a primary care model that emphasizes team-based medicine, a partnership between patients and providers, and expanded access and communication.