AI-AUGMENTED COMPOSABLE AND CONFIGURABLE MICROSERVICES FOR RECORD LINKAGE AND RECONCILIATION

Provided herein are methods and systems for identifying a related data values in a plurality of datasets. The method can include extracting data from the plurality of datasets, identifying potential linking categories, and determining a validity of the potential linking categories. One or more linki...

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Hauptverfasser: CONNELLY, Matthew F, FLAVELL, Mark John, CHENG, Winnie, SHARPLES, Craig, CHEN, Xiaoying, GIACOMUCCI, Thomas Vincent, HAMER, Nicholas John, LI, Chung-Sheng, LIZOTTE, Nancy Alayne, VOYLES, Joseph David, SARGUROH, Waqar, LIKENS, Scott, BELTRAN, Raymund Anthony Florand, LEONG, Kevin Ma, DAVIES, Rhodri, WOOLF, Lacey A
Format: Patent
Sprache:eng
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Zusammenfassung:Provided herein are methods and systems for identifying a related data values in a plurality of datasets. The method can include extracting data from the plurality of datasets, identifying potential linking categories, and determining a validity of the potential linking categories. One or more linking categories can be selected from the potential linking categories based on the validity, and related data values can be identified between the plurality of datasets based on the selected linking categories. Also provided herein are methods and systems for classifying data values as reconciled or non-reconciled. The method can include identifying a plurality of related data values in a plurality of datasets. For each of the plurality of related data values, a similarity score and confidence score can be determined, and the plurality of related data values can be classified as reconciled or non-reconciled based on the similarity score and/or the confidence score.