Abstract: The present disclosure describes various embodiments of systems, apparatuses, and methods for automated sensing clinical documentation using machine learning. One such method comprises recording a video data feed of a patient being attended to by a medical personnel that is wearing at least one motion sensor; capturing a motion data feed of the medical personnel as the patient is being attended to by the medical personnel; analyzing the collected data feeds to prepare a clinical care record using machine learning algorithms; and transmitting the clinical care record to an upstream healthcare provider. Other methods and systems are also provided.

Abstract: SQL query auditing technique embodiments are presented that involve auditing data in a relational database accessed during execution of a SQL search query via a query execution plan to detect and report access to sensitive data. In one embodiment, a computer is used for inputting a SELECT trigger which specifies the sensitive data resident in the relational database that is to be monitored for access during execution of the SQL search query. In addition, the SELECT trigger specifies an action that is to be taken once execution of the SQL search query is completed, if sensitive data was accessed. Then, during execution of the query execution plan, access to sensitive data is monitored, and whenever such access is detected, it is reported. Next, upon completion of the execution of the SQL search query, the action specified in the SELECT trigger is performed if access to sensitive data was reported.

Abstract: A system and method is provided for automatically generating explanations for individual records in an access log.

Abstract: A system and method is provided for automatically generating explanations for individual records in an access log.