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Electronic Health Records (EHRs) have made patient information widely available, allowing health professionals to provide better care. However, information confidentiality is an issue that continually needs to be taken into account. The objective of this study is to describe the implementation of rule-based access permissions to an EHR system. The rules that were implemented were based on a qualitative study. Every time users did not meet the specified requirements, they had to justify access through a pop up window with predetermined options, including a free text option ("other justification"). A secondary analysis of a deidentified database was performed. From a total of 20,540,708 hits on the electronic medical record database, 85% of accesses to the EHR system did not require justification. Content analysis of the "Other Justification" option allowed the identification of new types of access. At the time to justify, however, users may choose the faster or less clicks option to access to EHR, associating the justification of access to the EHR as a barrier. [ABSTRACT FROM AUTHOR]

Power source replacement of the sensor node which are once deployed in the network area, is generally difficult. So energy saving is one of the most important issues for object tracking in wireless sensor networks. To reduce the consumed energy and prolong the network lifetime the nodes surrounding the mobile object should be responsible for sensing the target. The number of participant nodes in target tracking can be reduced by an accurate prediction of the object location. In this paper we present fast energy efficient with high accuracy target tracking scheme which is based on location prediction. The missing rate of proposed predictor is very low in comparison with other predictors especially in random way point mobility model in which after pause time the three main parameters: direction, velocity and acceleration would be changed. The accuracy of predictor has direct effect on missing rate and so strongly reduces the consumed energy. Additionally a new node selection criterion is proposed in which minimum nodes surrounding the object are wakened and track the object. Simulation results show that our proposed predictor has low consumed energy and complexity in comparison with EKF and UKF predictors. [ABSTRACT FROM AUTHOR]