Cloud Computing and its Decision-making for Medical and Health Informatization in the Context of Big Data

Cloud computing, as a new system and architecture of data mutual sharing, is composed of three service models i.e. cloud software as a service (SaaS), cloud platform as a service (PaaS) and cloud infrastructure as a service (IaaS), as well as including three key enabling technologies i.e. networks of fast wide-area, server computers of powerful and inexpensive specialty, and commodity hardware of high-performance virtualization. Cloud computing technology brings in innovative and constructive ideas for the medical and health informatization. However, it also challenges many traditional approaches to application design and management of medical-sanitary institutions or other datacenters, especially the relevant issues of security, interoperability, portability, et al. that cited as major barriers to broader adoption. Based on the concept, key technology, core problem and principles, the author attempts to discuss the main issues of cloud computing in the construction and development of the medical and health informatization. We hope these considerations can provide reference to the service for the present medical informatization construction and practical decision-making in the context of big data.