Early detection of disease outbreak using electronic patient data to reduce public health threat from bio-terrorism
First Claim
1. A method for automated identification of disease outbreak, the method comprising:
- obtaining patient records for patients being treated, at least some of the patient records containing information derived with a processor by data mining from individual data collections of the patients being treated, the information derived with the processor from an unstructured data source including text format, image information, waveform information or combinations thereof, the patient records being a machine readable structured dataset including the information derived with the processor from the unstructured data source and information from a structured data source;
correlating selected patient data from the structured dataset, including data from the unstructured data source, contained in the patient records with disease indicia for at least one disease;
identifying an anomaly at least in part based on the correlations; and
outputting an alert about the anomaly.
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Accused Products
Abstract
A method is provided for automatically identifying a disease outbreak indicative of a potential bio-terror attack. Patient records are mined from structured and unstructured clinical sources. The patient records are then analyzed by correlating selected patient data contained in the patient records with disease indicia for each of a plurality of diseases. A probability of a disease outbreak is estimated at least in part based on these correlations. Suspicion may also be indicated if anomalous disease clusters are found. If any of the estimated probabilities exceeds a threshold value, a disease outbreak alert is outputted. The disease indicia may be defined by disease progression models, which may be stored in a disease knowledge base.
128 Citations
55 Claims
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1. A method for automated identification of disease outbreak, the method comprising:
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obtaining patient records for patients being treated, at least some of the patient records containing information derived with a processor by data mining from individual data collections of the patients being treated, the information derived with the processor from an unstructured data source including text format, image information, waveform information or combinations thereof, the patient records being a machine readable structured dataset including the information derived with the processor from the unstructured data source and information from a structured data source; correlating selected patient data from the structured dataset, including data from the unstructured data source, contained in the patient records with disease indicia for at least one disease; identifying an anomaly at least in part based on the correlations; and outputting an alert about the anomaly. - View Dependent Claims (2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 37, 52, 54)
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5. (canceled)
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35. A program storage device readable by a machine, the program storage device tangibly embodying a program of instructions executable on the machine to perform a method for automated identification of disease outbreaks, the method comprising:
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obtaining patient records for patients being treated, at least some of the patient records containing information derived by data mining from individual data collections of the patients being treated, the information derived from an unstructured data source, the unstructured data source including text format information, image information, waveform information or combinations thereof, the patient records being a machine readable structured dataset including the information derived with the processor from the unstructured data source and information from a structured data source; correlating selected patient data contained in the structured dataset of the patient record, including data from the unstructured data source, with disease indicia for at least one disease; identifying an anomaly at least in part based on the correlation; and outputting an alert as a function of the anomaly. - View Dependent Claims (36)
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38. A method for automated identification of disease outbreak, the method comprising:
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data mining for selected patient data as a function of a knowledge base; inferring symptoms from the mined data as a function of probabilities in the knowledge base; correlating the selected patient data contained in patient records with disease indicia for at least one disease; estimating a probability of disease outbreak at least in part based on the correlations; indicating a disease outbreak if the estimated probability exceeds a threshold value; and outputting a disease outbreak alert for the disease outbreak. - View Dependent Claims (40, 41, 42, 43, 44, 53, 55)
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- 39. (canceled)
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47. A method for automated identification of disease outbreak, the method comprising:
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obtaining with a machine selected patient data contained in patient records, the selected patient data including evidence of one or more symptoms in the patient record, the symptoms inferred from the patient data with probabilities in a knowledge base; identifying with the machine an unusual concentration of the symptoms from the selected patient data; and outputting an alert regarding the unusual concentration. - View Dependent Claims (48, 49, 50, 51)
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Specification