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US Patent 11749388 System and method for record linkage

Patent 11749388 was granted and assigned to Cerner on September, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Cerner
Cerner
Current Assignee
Cerner
Cerner
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11749388
Patent Inventor Names
Douglas S. McNair
John Christopher Murrish
Kanakasabha Kailasam
Date of Patent
September 5, 2023
Patent Application Number
17740751
Date Filed
May 10, 2022
Patent Citations
‌
US Patent 7496561 Method and system of ranking and clustering for document indexing and retrieval
‌
US Patent 7529765 Methods, apparatus, and program products for performing incremental probabilistic latent semantic analysis
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US Patent 7555425 System and method of improved recording of medical transactions
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US Patent 7558778 Semantic exploration and discovery
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US Patent 7617078 Patient data mining
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US Patent 7640171 Asset communication format within a computer network
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US Patent 7657540 Method and system for linking and delinking data records
‌
US Patent 7668820 Method for linking de-identified patients using encrypted and unencrypted demographic and healthcare information from multiple data sources
...
Patent Primary Examiner
‌
Jason S Tiedeman
CPC Code
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G16H 10/60
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G06Q 10/00
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G06Q 50/22
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G06F 16/00
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G06F 16/10
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G06F 16/20
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G06F 16/22
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G06F 16/2228
...

Methods, systems, and computer-readable media are provided for facilitating record matching and entity resolution and for enabling improvements in record linkage. A power-spectrum-based temporal pattern-specific weight may be incorporated into record linkage methods to enhance the record linkage accuracy and statistical performance. For example, in embodiments, a value-specific weight may be calculated from a population-based frequency of field-specific values and provides an opportunity to capture and measure the relative importance of specific values found in a field. A timeseries-derived Bayesian power spectrum weight may be calculated from the population-based frequency of temporal pattern-specific values in terms of intensities at various frequencies of the power spectrum computed from the timeseries, and further provides an opportunity to capture and measure the relative importance of specific sequences of care episodes.

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