Introduction 5 Purpose 5 Scope 5 Method 6 Medical Information Technology 6 Application 6 Data 6 Problem 7 Cloud Computing 8 What is Cloud Computing? 8 Advantages to be implemented in a medical environment 8 Conclusion 9 Reference 10
With the 2010 patient protection and the establishment of the price medical law, the federal government urges medical institutions and hospitals to speed up the transition to electronic document systems or to display more content ...
In 2009, the doctor of the current staff of Terrebonne General Medical Center also investigated. The main research is also used to demonstrate the lack of recruitment in the local doctor community
Healthcare IT Technology Healthcare IT is the same as IT in other industries. Regardless of the business, maintenance of personal computers, servers, software, and network connections is the same. The difference between the medical industry and most other industries is that the nature of the data stored in the computer system is very personal and the protection of the data is highly regulated by government agencies. Until recently, hospitals had to focus mainly on ensuring proper preservation and protection of electronic patient data. Some advanced doctors have introduced an electronic medical record system, but since the US Congress passed the 2010 Patient Protection and Peace Promotion Medical Act 2010, most doctors are currently looking for multiple options.
The next calculation wave will be far from cloud computing. Cloud computing has two main problems: (a) users do not own their own data, and (b) remote servers are security holes. As you move away from cloud computing, distributed systems such as Bitcoin can provide end users with clear control over digital assets without relying on third-party servers and infrastructure.
Cloud security is a field and practice for protecting cloud computing environments, applications, data, and information. Cloud security - also called cloud computing security - is designed to protect the cloud environment from unauthorized use / access, distributed denial of service (DDOS) attacks, hackers, malware, and other risks. To achieve this goal, cloud security uses policies, policies, processes, best practices, and technologies. In the context of the above definitions, cloud security is related to "cloud-based security" or security as a service, but they are different. Cloud-based security refers to a SaaS (Software-as-a-service) delivery model of security services hosted in the cloud, rather than deployed via on-premise hardware or software.
Cloud computing security, more simply, cloud security is a set of broad policies, technologies, and controls deployed to protect data, applications, and cloud computing infrastructure. It is a subdomain of computer security, network security, and wider information security. With cloud computing and storage, users can store and process data at third-party data centers. The organization uses clouds in a variety of service models (including acronyms such as SaaS, PaaS, IaaS) and deployment models (private, public, hybrid, community). Security concerns related to cloud computing are largely related to the security problems faced by cloud providers' security problems (through infrastructure organizations as cloud offering software, platforms, or services) and cloud customers (enterprises or organizations) It will be different. Hosting applications or storing data)
• Security, legal and privacy issues caused by cloud computing: security, legal and privacy concerns are widely recognized as important in cloud computing. The majority of security and privacy concerns in cloud computing are caused by lack of user control over the physical infrastructure. This can lead to legal problems affected by the physical location of the cloud, which determines its jurisdiction. In addition, multi-tenancy requires a new security and privacy solution. For example, a denial-of-service (DoS) attack is a common problem before cloud computing is widespread, but if a DoS attack targeted at the cloud targets the application, it is actually attacked in the end . Resource usage can be much higher than the peak usage of applications at internal data centers with limited resources.