System and method for record linkage

Patent metadata

Field	Value
Publication number	US-12499982-B2
Application number	US-202418761902-A
Country	US
Kind code	B2
Filing date	Jul 2, 2024
Priority date	May 1, 2012
Publication date	Dec 16, 2025
Grant date	Dec 16, 2025

Abstract

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.

First claim

What is claimed:

1 . A computer-implemented method comprising:
receiving a target record from a first record system, the target record comprising one or more first date-time variables associated with a target patient, wherein each of the one or more first date-time variables identifies a date and/or time; receiving a candidate record from a second record system, the candidate record comprising a second date-time variable for an episode associated with the target patient, wherein the second date-time variable identifies a date and/or time; generating a power spectrum based on the first date-time variable and the second date-time variable; predicting, based on at least one demographic characteristic of a subject, a record linkage weight based on a similarity of a demographic variable associated with the candidate record and the target record; determining, based on the record linkage weight and the power spectrum, that the candidate record is related to the target record; and generating a result that is based on the candidate record being linked to the target record.

2 . The computer-implemented method of claim 1 , further comprising:
outputting the result.

3 . The computer-implemented method of claim 1 , further comprising:
determining a power spectra weight based on a characteristic of the power spectrum and a corresponding reference characteristic generated using a set of reference power spectra, wherein determining that the candidate record is related to the target record is based on the record linkage weight and the power spectra weight.

4 . The computer-implemented method of claim 3 , further comprising:
determining a composite weight of the record linkage weight and the power spectra weight, wherein determining that the candidate record is related to the target record comprises determining that the composite weight satisfies a threshold.

5 . The computer-implemented method of claim 3 , wherein determining the power spectra weight comprises:
determining a likelihood value of each spectrum of the set of reference power spectra; and normalizing the determined likelihood values.

6 . The computer-implemented method of claim 3 , wherein the set of reference power spectra are generated using a Bayesian Markov Chain Monte Carlo simulation.

7 . The computer-implemented method of claim 1 , wherein the second date-time variable comprises a date-time value associated with a most recent episode stored in association with the candidate record.

8 . The computer-implemented method of claim 1 , wherein the first and second record systems comprise the same record system.

9 . The computer-implemented method of claim 1 , further comprising:
presenting, via an interface, an indication that the candidate record is related to the target record.

10 . A system comprising:
one or more data processors; and a non-transitory computer readable storage medium containing instructions which, when executed on the one or more data processors, cause the one or more data processors to perform a set of actions including:
receiving a target record from a first record system, the target record comprising one or more first date-time variables associated with a target patient, wherein each of the one or more first date-time variables identifies a date and/or time;
receiving a candidate record from a second record system, the candidate record comprising a second date-time variable for an episode associated with the target patient, wherein the second date-time variable identifies a date and/or time;
generating a power spectrum based on the first date-time variable and the second date-time variable;
predicting, based on at least one demographic characteristic of a subject, a record linkage weight based on a similarity of a demographic variable associated with the candidate record and the target record;
determining, based on the record linkage weight and the power spectrum, that the candidate record is related to the target record; and
generating a result that is based on the candidate record being linked to the target record.

11 . The system of claim 10 , wherein the set of actions further includes:
outputting the result.

12 . A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, including instructions configured to cause one or more data processors to perform a set of actions including:
receiving a target record from a first record system, the target record comprising one or more first date-time variables associated with a target patient, wherein each of the one or more first date-time variables identifies a date and/or time; receiving a candidate record from a second record system, the candidate record comprising a second date-time variable for an episode associated with the target patient, wherein the second date-time variable identifies a date and/or time; generating a power spectrum based on the first date-time variable and the second date-time variable; predicting, based on at least one demographic characteristic of a subject, a record linkage weight based on a similarity of a demographic variable associated with the candidate record and the target record; determining, based on the record linkage weight and the power spectrum, that the candidate record is related to the target record; and generating a result that is based on the candidate record being linked to the target record.

13 . The computer-program product of claim 12 , wherein the set of actions further includes:
outputting the result.

14 . The computer-program product of claim 12 , wherein the set of actions further includes:
determining a power spectra weight based on a characteristic of the power spectrum and a corresponding reference characteristic generated using a set of reference power spectra, wherein determining that the candidate record is related to the target record is based on the record linkage weight and the power spectra weight.

15 . The computer-program product of claim 14 , wherein the set of actions further includes:
determining a composite weight of the record linkage weight and the power spectra weight, wherein determining that the candidate record is related to the target record comprises determining that the composite weight satisfies a threshold.

16 . The computer-program product of claim 14 , wherein determining the power spectra weight comprises:
determining a likelihood value of each spectrum of the set of reference power spectra; and normalizing the determined likelihood values.

17 . The computer-program product of claim 14 , wherein the set of reference power spectra are generated using a Bayesian Markov Chain Monte Carlo simulation.

18 . The computer-program product of claim 12 , wherein the second date-time variable comprises a date-time value associated with a most recent episode stored in association with the candidate record.

19 . The computer-program product of claim 12 , wherein the first and second record systems comprise the same record system.

20 . The computer-program product of claim 12 , wherein the set of actions further includes:
presenting, via an interface, an indication that the candidate record is related to the target record.

Assignees

• Cerner Innovation Inc

Inventors

• Mcnair Douglas S
• Kailasam Kanakasabha
• Murrish John Christopher

Classifications

• G16H80/00

  ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring · CPC title

• G16H10/60 Primary

  for patient-specific data, e.g. for electronic patient records · CPC title