ABSTRACT
The trust relationship between a healthcare provider and patient lies in the best treatment as well as in the level of confidentiality of their entrusted information. With the technological evolution while the management of data is becoming easier, the protection of patient-sensitive data confidentiality is a task which cannot be ignored or trivialized. There are many laws and regulations to protect this sensitive information and prevent revealing them without the patient's consent. Milestone services of cloud computing technologies drive industries including healthcare to claim a step ahead in their business management. As healthcare domains involve patient privacy information, they are some security issues to adopt the cloud. By playing proper privacy-preserving methodologies on electronic health records security of patient data can be ensured. Identification of privacy-related or sensitive information in a textual medical document is a vital and complex process. The motivation of this chapter is to identify the sensitive information from medical documents and hide them. Machine Learning is used with a keyword search for extracting the sensitive words in a medical document.
