International Business Machines Corporation

Arete Associates

Other

Matthew Michael Pohlman

Jacob O Miller

Randall E Potter

Jeremy Francis Burri

Michael Howard Farris

Douglas S Meil

Robert W Shields

Anil K Jain

Yifan Xu

Jason R Gilder

James Natale

Matthew Hagenbuch

David M Kane

David C Campion

Peter A Fellowes

Nicholas Dwork

A system links data objects for common entities across source systems and includes at least one processor. The system compares data objects within each of a plurality of source systems to identify data objects associated with corresponding common entities. The identified data objects for each common entity within each of the plurality of source systems are linked to form a group of data objects for each common entity. The groups of data objects for each of the common entities are compared across the plurality of source systems to identify groups of data objects associated with common entities. The identified groups of data objects for common entities are linked across the plurality of source systems to form a set of data objects for each corresponding common entity. Embodiments of the present invention further include a method and computer program product for linking data objects for common entities across source systems.

Hierarchical association of entity records from different data systems

A computer system processes data records in a multi-tenant environment to ensure data quality. A plurality of records from a plurality of data sources are processed to provide a data quality metric for each field of the plurality of records based on record values in the field. A threshold range satisfying a specificity level of a data source is selected for each data quality metric. The data quality metric is compared to the threshold range to determine whether the data quality metric violates the threshold. A data quality report is provided for the plurality of records, wherein the data quality report indicates whether the data quality metric of each field violates the selected threshold range. Embodiments of the present invention further include a method and program product for processing data records in a multi-tenant environment to ensure data quality in substantially the same manner described above.

Processing data records in a multi-tenant environment to ensure data quality

A method, system and computer program product for ensuring quality in electronic health data. Data processing pipelines among different tenants are monitored for data artifacts generated from electronic health data, where a 'data artifact' refers to the tangible by-products produced during the processing of the electronic health record datasets generated by the electronic health record systems as well as the datasets themselves. Out of the generated data artifacts, those data artifacts that are produced from the same stage of the data processing pipelines among the different tenants are aggregated. A set of metrics at various levels of a dataset hierarchy are produced from the aggregated data artifacts. Such metrics provide information about a quality of the electronic health data. A quality report, which may include flagged issues with the datasets, is then generated and presented to a user based on an analysis of the produced set of metrics.

Ensuring quality in electronic health data

Resolving conflicting data among data objects associated with a common entity includes assigning an ordered sequence of data analysis processes to a corresponding data field of a plurality of data objects associated with a common entity. At least two of the data objects include different values for the corresponding data field, and each data analysis process performs a different technique to resolve conflicts between different values of data. The ordered sequence of data analysis processes is executed to determine a consensus value to serve as a value for the corresponding data field of each of the plurality of data objects. The data analysis processes are successively executed in the ordered sequence until the consensus value is determined for the corresponding data field.

Resolving conflicting data among data objects associated with a common entity

A system links data objects associated with a common entity and includes at least one processor. The system compares data objects within one or more source systems to identify candidate data objects associated with a corresponding common entity based on information within those data objects. The candidate data objects are analyzed based on supplemental temporal information within the one or more source systems pertaining to the candidate data objects to determine resulting data objects associated with the corresponding common entity. The resulting data objects are linked to form a set of data objects for the common entity. Embodiments of the present invention further include a method and computer program product for linking data objects associated with a common entity.

Association of entity records based on supplemental temporal information

Selected scene regions are imaged. I: mirrors (preferably MEMS) address an imaging sensor to regions. C: the mirrors direct radiation from a source to a calibration sensor, along an imaging-channel segment. Beam splitter(s) let the channels share optical path at the mirrors. To minimize imaging-channel diffractive blur, the calibration channel modifies wavefront angle and smoothness at the mirrors&#x2014;measuring (and setting mirrors to optimize) PSF sharpness, then applying these measurements (and settings) to optimize imaging-channel settings by iterative multidimensional gradient search. An afocal lens receives scene radiation, magnifying deflection at the scene. An FOR is imaged on the imaging sensor; the mirrors address the sensor to a narrow FOV within the FOR; the lens enlarges deflections to cover the FOR. Plural diffraction-grating orders communicate between calibration source and sensor when the selected region is in plural scene portions, regardless which FOV is addressed.

Refined optical system

A new approach to radar imaging is described herein, in which radar pulses are transmitted with an uneven sampling scheme and subsequently processed with novel algorithms to produce images of equivalent resolution and quality as standard images produced using standard synthetic aperture radar (SAR) waveforms and processing techniques. The radar data collected with these waveforms can be used to create many other useful products such as moving target indication (MTI) and high resolution terrain information (HRTI). The waveform and the correction algorithms described herein allow the algorithms of these other radar products to take advantage of the quality Doppler resolution.

Creating and processing universal radar waveforms

A new approach to radar imaging is described herein, in which radar pulses are transmitted wi th an uneven sampling scheme and subsequently processed with novel algorithms to produce images of equivalent resolution and quality as standard images produced using standard synthetic aperture radar (SAR) waveforms and processing techniques. The radar data collected with these waveforms can be used to create many other useful products such as moving target indication (MTI) and high resolution terrain information (HRTI). The waveform and the correction algorithms described herein allow the algorithms of these other radar products to take advantage of the quality Doppler resolution.

Method and apparatus for creating and processing universal radar waveforms

A new approach to radar imaging is described herein, in which radar pulses are transmitted with an uneven sampling scheme and subsequently processed with novel algorithms to produce images of equivalent resolution and quality as standard images produced using standard synthetic aperture radar (SAR) waveform and processing techniques. The radar data collected with these waveforms can be used to create many other useful products such as moving target indication (MTI) and high resolution terrain information (HRTI). The waveform and the correction algorithms described herein allow the algorithms of these other radar products to take advantage of the quality Doppler resolution.

Growing community of inventors

University Heights, OH, United States of America

Matthew Michael Pohlman