Patient data mining
DCFirst Claim
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1. A system for producing structured clinical information from patient records, comprising:
- a computerized patient record comprising at least one data source storing patient information, at least some of the patient information being unstructured, the patient information including clinical information related to a plurality of variables representing a state of the patient;
a memory comprising a domain knowledge base containing domain-specific criteria relating the clinical information to values of the variables; and
a processor configured to apply a data miner for extracting the clinical information from the data source using the domain-specific criteria, the data miner operable to create structured clinical information from the extracted clinical information including at least some of the unstructured patient information, the structured clinical information including the variables representing a state of the patient as a summary, the data miner operable to resolve discrepancies of different clinical information indicating different values of one of the variables.
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Abstract
The present invention provides a data mining framework for mining high-quality structured clinical information. The data mining framework includes a data miner that mines medical information from a computerized patient record (CPR) based on domain-specific knowledge contained in a knowledge base. The data miner includes components for extracting information from the CPR, combining all available evidence in a principled fashion over time, and drawing inferences from this combination process. The mined medical information is stored in a structured CPR which can be a data warehouse.
192 Citations
65 Claims
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1. A system for producing structured clinical information from patient records, comprising:
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a computerized patient record comprising at least one data source storing patient information, at least some of the patient information being unstructured, the patient information including clinical information related to a plurality of variables representing a state of the patient; a memory comprising a domain knowledge base containing domain-specific criteria relating the clinical information to values of the variables; and a processor configured to apply a data miner for extracting the clinical information from the data source using the domain-specific criteria, the data miner operable to create structured clinical information from the extracted clinical information including at least some of the unstructured patient information, the structured clinical information including the variables representing a state of the patient as a summary, the data miner operable to resolve discrepancies of different clinical information indicating different values of one of the variables. - View Dependent Claims (2, 3, 4, 5, 6, 7, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40)
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8. The system of step 1, wherein the data miner is run at arbitrary intervals.
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10. The system of step 1, wherein the data miner is run in online mode.
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41. A method for producing structured clinical information from patient records, comprising the steps of:
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providing a first computerized patient record comprising at least one data source containing patient information, at least some of the patient information being unstructured and at least some of the patient information being structured; providing a memory storing a domain knowledge base containing domain-specific criteria; extracting clinical information from the at least one data source by data mining using the domain-specific criteria; and creating, using a computer, structured clinical information as a function of the extracting, the structured clinical information being a summary of the unstructured and structured patient information. - View Dependent Claims (42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64)
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65. A program storage device readable by a machine, tangibly embodying a program of instructions when executed on the machine to perform a method for producing structured clinical information from patient records, the method comprising:
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providing at least one data source containing patient information, at least some of the patient information being unstructured; providing a domain knowledge base containing domain-specific criteria; extracting clinical information from the data sources using the domain-specific criteria, wherein extracting the clinical information from the data sources comprises;
creating a set of probabilistic assertions;
combining the set of probabilistic assertions into one or more unified probabilistic assertions; and
inferring patient states from the one or more unified probabilistic assertions; andcreating structured clinical information as a function of the extracting.
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Specification