No abstract

Browser with Rich Internet Application (RIA) Web pages could be a powerful user interface for handling sophisticated data and applications. Then the RIA solutions would be a potential method for viewing and manipulating the most data generated in clinical processes, which can accomplish the main functionalities as general picture archiving and communication system (PACS) viewing systems. The aim of this study is to apply the RIA technology to present medical images. Both Digital Imaging and Communications in Medicine (DICOM) and non-DICOM data can be handled by our RIA solutions. Some clinical data that are especially difficult to present using PACS viewing systems, such as ECG waveform, pathology virtual slide microscopic image, and radiotherapy plan, are as well demonstrated. Consequently, clinicians can use browser as a unique interface for acquiring all the clinical data located in different departments and information systems. And the data could be presented appropriately and processed freely by adopting the RIA technologies.

The objective of this study was to develop a method to hide information in a portable electronic health record (PEHR). In compliance with HIPAA guidelines, a hiding function for personal identifiers in a PEHR was implemented by recognizing and hiding techniques. The method emphasizes the feasibility of embedding a hiding function in a PEHR. The hiding function could be executed to hide identifiers in offline mode. The present study showed that embedding the hiding function in a PEHR is a practical way not only satisfies data confidentiability needs, but also meets patient's personal privacy requirements. The effects of executing the hiding function would be the same as through de-identification or anonymization process.

In addition to the primary care context, medical images are often useful for research projects and community healthcare networks, so-called "secondary use". Patient privacy becomes an issue in such scenarios since the disclosure of personal health information (PHI) has to be prevented in a sharing environment. In general, most PHIs should be completely removed from the images according to the respective privacy regulations, but some basic and alleviated data is usually required for accurate image interpretation. Our objective is to utilize and enhance these specifications in order to provide reliable software implementations for de-and re-identification of medical images suitable for online and offline delivery. DICOM (Digital Imaging and Communications in Medicine) images are de-identified by replacing PHI-specific information with values still being reasonable for imaging diagnosis and patient indexing. In this paper, this approach is evaluated based on a prototype implementation built on top of the open source framework DCMTK (DICOM Toolkit) utilizing standardized de-and re-identification mechanisms. A set of tools has been developed for DICOM deidentification that meets privacy requirements of an offline and online sharing environment and fully relies on standardbased methods.