Abstract: Systems and methods are provided for using point-in-time architecture (PTA) databases. An exemplary method includes: entering first data, received from a first data source, into a first PTA database; receiving a first instruction to process the first data using a first statistical operation; executing the first statistical operation for the first data, resulting in first output data; filtering the first output data based on a user-selected attribute; and performing multiple stages of a data processing operation for the first output data.

Abstract: Systems and methods for multi-object reporting in a content management system. A report type definition may define which objects are involved and how they are related. A report execution engine may generate a multi-object query language statement to translate the report type definition into query language. A query language execution engine may break the query language statement down into separate single pieces. A cost optimization engine may determine if it is cost efficient to join the objects. An indexed access execution engine may extract unique IDs of the objects and join the unique IDs to generate an index. A Lucene based search engine may be accessed according to the index, and the response is post processed to generate a multi-object report. A case management controller may receive a case narrative for an adverse event in the storage device, and store the case narrative to the storage device.

Abstract: Methods and systems for accessing, maintaining, analyzing, and visualizing structured data are presented. The system receives from a requesting computing device, a first request for a first hierarchical record. The system searches a first repository having first structured data. The system determines whether the first hierarchical record is present in the first structured data and creates, based on the first hierarchical record, a snapshot query criterion. The system then searches, based on the snapshot query criterion, a second repository comprising a first snapshot of the first structured data. The system determines whether a second hierarchical record at least partially matches the first hierarchical record.

Abstract: Systems and methods are provided for managing data associated with a point-in-time architecture (PTA) databases. An exemplary method includes: receiving first data from a first PTA database and second data from a second PTA database; validating one or more parameters associated with the first data and the second data; comparing the first data and the second data with one or more reference data; predicting one or more events based on the comparing; generating a data report indicating the first data and the second data leads to the predicted one or more events; performing, based on the data report, surveillance of the first data and the second data during a surveillance period and using a surveillance protocol; receiving an update to at least one of the first data, the second data, or the one or more reference data; and updating at least one of the predicted one or more events.

Abstract: Methods and systems for accessing, maintaining, analyzing, and visualizing structured data are presented. The system receives from a requesting computing device, a first request for a first hierarchical record. The system searches a first repository having first structured data. The system determines whether the first hierarchical record is present in the first structured data and creates, based on the first hierarchical record, a snapshot query criterion. The system then searches, based on the snapshot query criterion, a second repository comprising a first snapshot of the first structured data. The system determines whether a second hierarchical record at least partially matches the first hierarchical record.

Abstract: A multispectral synchronized imaging system is provided. A multispectral light source of the system comprises: blue, green and red LEDs, and one or more non-visible light sources, each being independently addressable and configured to emit, in a sequence: at least visible white light, and non-visible light in one or more given non-visible frequency ranges. The system further comprises a camera and an optical filter arranged to filter light received at the camera, by: transmitting visible light from the LEDs; filter out non-visible light from the non-visible light sources; and otherwise transmit excited light emitted by a tissue sample excited by non-visible light. Images acquired by the camera are output to a display device. A control unit synchronizes acquisition of respective images at the camera for each of blue light, green light, visible white light, and excited light received at the camera, as reflected by the tissue sample.

Abstract: A cognitive optical system for dynamically refining imaging during a medical procedure, involving a processor operable by a set of executable instructions storable in relation to a non-transitory memory device. The processor is configured to automatically adjust an image by automatically compensating for at least one external factor affecting an anatomical area being viewed, automatically adjusting at least one imaging parameter, and automatically adjusting at least one internal control of an optical chain, whereby a quality of the image is improvable in real time.

Abstract: Systems and methods are provided for using point-in-time architecture (PTA) databases. An exemplary method includes: entering first data, received from a first data source, into a first PTA database; receiving a first instruction to process the first data using a first statistical operation; executing the first statistical operation for the first data, resulting in first output data; filtering the first output data based on a user-selected attribute; and performing multiple stages of a data processing operation for the first output data.

Abstract: Systems and methods are provided for using point-in-time architecture (PTA) databases. An exemplary method includes: entering first data, received from a first data source, into a first PTA database; receiving a first instruction to process the first data using a first statistical operation; executing the first statistical operation for the first data, resulting in first output data; filtering the first output data based on a user-selected attribute; and performing multiple stages of a data processing operation for the first output data.

Abstract: Methods and systems for accessing, maintaining, analyzing, and visualizing structured data are presented. The system receives from a requesting computing device, a first request for a first hierarchical record. The system searches a first repository having first structured data. The system determines whether the first hierarchical record is present in the first structured data and creates, based on the first hierarchical record, a snapshot query criterion. The system then searches, based on the snapshot query criterion, a second repository comprising a first snapshot of the first structured data. The system determines whether a second hierarchical record at least partially matches the first hierarchical record.

Abstract: Methods and systems for accessing, maintaining, analyzing, and visualizing structured data are presented. The system receives from a requesting computing device, a first request for a first hierarchical record. The system searches a first repository having first structured data. The system determines whether the first hierarchical record is present in the first structured data and creates, based on the first hierarchical record, a snapshot query criterion. The system then searches, based on the snapshot query criterion, a second repository comprising a first snapshot of the first structured data. The system determines whether a second hierarchical record at least partially matches the first hierarchical record.

Abstract: Systems and methods are provided for managing data associated with a point-in-time architecture (PTA) databases. An exemplary method includes: receiving first data from a first PTA database and second data from a second PTA database; validating one or more parameters associated with the first data and the second data; comparing the first data and the second data with one or more reference data; predicting one or more events based on the comparing; generating a data report indicating the first data and the second data leads to the predicted one or more events; performing, based on the data report, surveillance of the first data and the second data during a surveillance period and using a surveillance protocol; receiving an update to at least one of the first data, the second data, or the one or more reference data; and updating at least one of the predicted one or more events.

Abstract: Systems and methods are provided for using point-in-time architecture (PTA) databases. An exemplary method includes: entering first data, received from a first data source, into a first PTA database; receiving a first instruction to process the first data using a first statistical operation; executing the first statistical operation for the first data, resulting in first output data; filtering the first output data based on a user-selected attribute; and performing multiple stages of a data processing operation for the first output data.

Abstract: Methods and systems for accessing, maintaining, analyzing, and visualizing structured data are presented. The system receives from a requesting computing device, a first request for a first hierarchical record. The system searches a first repository having first structured data. The system determines whether the first hierarchical record is present in the first structured data and creates, based on the first hierarchical record, a snapshot query criterion. The system then searches, based on the snapshot query criterion, a second repository comprising a first snapshot of the first structured data. The system determines whether a second hierarchical record at least partially matches the first hierarchical record.

Abstract: Systems and methods for providing an API for a database system. The API may be provided to enable external application developers to build applications that can support the dynamic security model of the content management system and describe the runtime properties of records in data objects. The API of may provide a record property object and/or a query describe object when returning data set in response to a query by providing information about actions an end user can take on the data records, and to provide metadata required to understand a data response.

Abstract: A multispectral synchronized imaging system is provided. A multispectral light source of the system comprises: blue, green and red LEDs, and one or more non-visible light sources, each being independently addressable and configured to emit, in a sequence: at least visible white light, and non-visible light in one or more given non-visible frequency ranges. The system further comprises a camera and an optical filter arranged to filter light received at the camera, by: transmitting visible light from the LEDs; filter out non-visible light from the non-visible light sources; and otherwise transmit excited light emitted by a tissue sample excited by non-visible light. Images acquired by the camera are output to a display device. A control unit synchronizes acquisition of respective images at the camera for each of blue light, green light, visible white light, and excited light received at the camera, as reflected by the tissue sample.

Abstract: Systems and methods are provided for managing data associated with a point-in-time architecture (PTA) databases. An exemplary method includes: receiving first data from a first PTA database and second data from a second PTA database; validating one or more parameters associated with the first data and the second data; comparing the first data and the second data with one or more reference data; predicting one or more events based on the comparing; generating a data report indicating the first data and the second data leads to the predicted one or more events; performing, based on the data report, surveillance of the first data and the second data during a surveillance period and using a surveillance protocol; receiving an update to at least one of the first data, the second data, or the one or more reference data; and updating at least one of the predicted one or more events.

Abstract: A cognitive optical system for dynamically refining imaging during a medical procedure, involving a processor operable by a set of executable instructions storable in relation to a non-transitory memory device. The processor is configured to automatically adjust an image by automatically compensating for at least one external factor affecting an anatomical area being viewed, automatically adjusting at least one imaging parameter, and automatically adjusting at least one internal control of an optical chain, whereby a quality of the image is improvable in real time.

Abstract: A multispectral synchronized imaging system is provided. A multispectral light source of the system includes: blue, green and red LEDs, and one or more non-visible light sources, each being independently addressable and configured to emit, in a sequence: at least visible white light, and non-visible light in one or more given non-visible frequency ranges. The system further includes a camera and an optical filter arranged to filter light received at the camera, by: transmitting visible light from the LEDs; filter out non-visible light from the non-visible light sources; and otherwise transmit excited light emitted by a tissue sample excited by non-visible light. Images acquired by the camera are output to a display device. A control unit synchronizes acquisition of respective images at the camera for each of blue light, green light, visible white light, and excited light received at the camera, as reflected by the tissue sample.

Abstract: A cognitive optical system for dynamically refining imaging during a medical procedure, involving a processor operable by a set of executable instructions storable in relation to a non-transitory memory device. The processor is configured to automatically adjust an image by automatically compensating for at least one external factor affecting an anatomical area being viewed, automatically adjusting at least one imaging parameter, and automatically adjusting at least one internal control of an optical chain, whereby a quality of the image is improvable in real time.