Abstract: An automated method is provided for generating summary data regarding task items that must occur to achieve a database lock for a clinical trial study that is performed based on a previously defined clinical trial protocol. The clinical trial study is managed using a processor and a database in communication with the processor. The database includes clinical trial data and the status of the data for a plurality of patients participating in the clinical trial study. At least one clinical database lock criterion is defined for the study from at least a plurality of user-selected subsets of the clinical trial data. The processor receives the at least one clinical database lock criterion for the study, and the clinical trial data and the status of the data, as retrieved from the database, for the plurality of patients participating in the clinical trial study as defined by the clinical database lock criteria.

Abstract: An efficient technique to build subject-specific skeleton models from external measurements is provided. A generic human skeleton model is manipulated and deformed using marker positional data from human motion-captured sequences. The joint and bone geometry parameters are optimized to construct an estimate of the specific skeleton model of the human subject that originally performed the motion sequence. The scope of the fitting procedure can be adjusted to coincide with a series of smaller optimizations over local bone regions or expanded to a single global optimization over all skeleton geometry and joint parameters simultaneously.

Abstract: An automated method is provided for generating summary data regarding task items that must occur to achieve a database lock for a clinical trial study that is performed based on a previously defined clinical trial protocol. The clinical trial study is managed using a processor and a database in communication with the processor. The database includes clinical trial data and the status of the data for a plurality of patients participating in the clinical trial study. At least one clinical database lock criterion is defined for the study from at least a plurality of user-selected subsets of the clinical trial data. The processor receives the at least one clinical database lock criterion for the study, and the clinical trial data and the status of the data, as retrieved from the database, for the plurality of patients participating in the clinical trial study as defined by the clinical database lock criteria.

Abstract: Management of a database lock for a clinical trial study is provided. A database is provided that includes clinical trial data and the status of the data for a plurality of patients. Lock criteria is defined for the study from a plurality of selectable subsets of the clinical trial data. A processor automatically generates a list of tasks that must occur to achieve the lock defined by the lock criteria using the clinical trial data and the status of the data.

Abstract: Management of a database lock for a clinical trial study is provided. A database is provided that includes clinical trial data and the status of the data for a plurality of patients. Lock criteria is defined for the study from a plurality of selectable subsets of the clinical trial data. A processor automatically generates a list of tasks that must occur to achieve the lock defined by the lock criteria using the clinical trial data and the status of the data.

Abstract: A computer-implemented method is provided for managing trip reports related to clinical monitoring, wherein each trip report includes a trip status. An administration computer maintains a plurality of trip reports associated with a clinical study. Trip reports are entered into the administration computer. A user interface allows authorized users to view the trip reports and change the status of the trip reports in the administration computer. The administration computer produces a summary report showing at least the status of selected trip reports.

Abstract: An efficient technique to build subject-specific skeleton models from external measurements is provided. A generic human skeleton model is manipulated and deformed using marker positional data from human motion-captured sequences. The joint and bone geometry parameters are optimized to construct an estimate of the specific skeleton model of the human subject that originally performed the motion sequence. The scope of the fitting procedure can be adjusted to coincide with a series of smaller optimizations over local bone regions or expanded to a single global optimization over all skeleton geometry and joint parameters simultaneously.