Method And Apparatus For Adaptive Prefetching Of Medical Data
First Claim
1. A method comprising:
- receiving an indication of a request for a new study for a patient;
generating, with a processor, a partial clinical information lattice (PCIL) representative of the new medical study;
receiving metadata describing a dataset related to a prior study for the patient;
generating a complete clinical information lattice (CIL) representative of the dataset;
calculating an affinity value for the prior study based on a fit function comparing the PCIL and the CIL, the affinity value indicating a probability of relevancy of the prior study to the new study; and
identifying whether or not the dataset should be prefetched from lower tier memory.
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Accused Products
Abstract
A method, apparatus, and computer program product are described herein for providing clinically adaptive prefetch of datasets relating to prior medical studies. Upon indication of a new study, a fit function may depend on an exemplar set of new study to prior study relationships. The fit function may calculate an affinity value for a prior study, indicating the probability of relevancy to the new study. The fit function may consider structured data, and unstructured data, such as by natural language processing. Based on the affinity value, a dataset relating to the prior study may be flagged for prefetch, indicating a dataset should be prefetched from a lower tier memory to a higher tier memory, allowing for faster access to the dataset, from a clinical system. The fit function may be trained based on usage of the prior study datasets, including accounting for false positives and false negatives.
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Citations
31 Claims
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1. A method comprising:
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receiving an indication of a request for a new study for a patient; generating, with a processor, a partial clinical information lattice (PCIL) representative of the new medical study; receiving metadata describing a dataset related to a prior study for the patient; generating a complete clinical information lattice (CIL) representative of the dataset; calculating an affinity value for the prior study based on a fit function comparing the PCIL and the CIL, the affinity value indicating a probability of relevancy of the prior study to the new study; and identifying whether or not the dataset should be prefetched from lower tier memory. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. An apparatus comprising at least one processor and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the processor, cause the device to at least:
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receive an indication of a request for a new study for a patient; generate a partial clinical information lattice (PCIL) representative of the new medical study; receive metadata describing a dataset related to a prior study for the patient; generate a complete clinical information lattice (CIL) representative of the dataset; calculate an affinity value for the prior study based on a fit function comparing the PCIL and the CIL, the affinity value indicating a probability of relevancy of the prior study to the new study; and identify whether or not the dataset should be prefetched from lower tier memory. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A computer program product comprising at least one non-transitory computer-readable storage medium having computer-executable program code instructions stored therein, the computer-executable program code instructions comprising program code instructions to:
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authenticate a user affiliated with a clinic; receive clinical content associated with the clinic, provided by the user; store the clinical content in association with the clinic such that the clinical content is retrievable based on an indication of the clinic; receive an indication of a request to view content associated with the clinic; and cause display of the clinical content in response to the indication of the request. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28, 29, 30)
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31. A system comprising:
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(a) a first device configured to; provide an indication of a request for a new study for a patient; transmit the indication to a second device; and receive, from the second device, an indication of at least one dataset to be prefetched from lower tier memory; (b) a second device configured to; receive, from the first device, the indication of a request for a new study for a patient; generate a partial clinical information lattice (PCIL) representative of the new medical study; receive metadata describing a dataset related to a prior study for the patient; generate a complete clinical information lattice (CIL) representative of the dataset; calculate an affinity value for the prior study based on a fit function comparing the PCIL and the CIL, the affinity value indicating a probability of relevancy of the prior study to the new study; identify whether or not the dataset should be prefetched from lower tier memory; and transmit, to the first device, an indication of at least one dataset to be prefetched from lower tier memory.
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Specification