Dental data mining
First Claim
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1. A computer implemented method, comprising:
- storing in a database data related to each of a plurality of dental patient treatment histories, each including;
an initial data set representing teeth of each dental patient prior to treatment;
an intended dental treatment outcome data set for each dental patient; and
an actual dental treatment outcome data set for each dental patient;
a computer clustering the data into clusters based on at least one of a number of parameters including initial physical dental condition, initial diagnoses, dental treatment parameters, intended dental treatment outcomes, actual dental treatment outcomes, appliance design, manufacturing protocol, clinician, clinician geography, clinician training, size and nature of clinician'"'"'s practice, and patient demographics;
the computer modeling discrepancies between the intended dental treatment outcome data sets and the actual dental treatment outcome data sets within a particular cluster;
the computer correlating the modeled discrepancies to one or more of treatment approach, appliance design, and manufacturing protocol within the particular cluster; and
the computer providing the correlation as feedback for optimizing the one or more of initial physical dental condition, initial diagnoses, dental treatment parameters, intended dental treatment outcomes, actual dental treatment outcomes, appliance design, manufacturing protocol, clinician, clinician geography, clinician training, size and nature of clinician'"'"'s practice, and patient demographics.
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Abstract
Systems and methods are disclosed providing a database comprising a compendium of at least one of patient treatment history; orthodontic therapies, orthodontic information and diagnostics; employing a data mining technique for interrogating said database for generating an output data stream, the output data stream correlating a patient malocclusion with an orthodontic treatment; and applying the output data stream to improve a dental appliance or a dental appliance usage.
157 Citations
33 Claims
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1. A computer implemented method, comprising:
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storing in a database data related to each of a plurality of dental patient treatment histories, each including; an initial data set representing teeth of each dental patient prior to treatment; an intended dental treatment outcome data set for each dental patient; and an actual dental treatment outcome data set for each dental patient; a computer clustering the data into clusters based on at least one of a number of parameters including initial physical dental condition, initial diagnoses, dental treatment parameters, intended dental treatment outcomes, actual dental treatment outcomes, appliance design, manufacturing protocol, clinician, clinician geography, clinician training, size and nature of clinician'"'"'s practice, and patient demographics; the computer modeling discrepancies between the intended dental treatment outcome data sets and the actual dental treatment outcome data sets within a particular cluster; the computer correlating the modeled discrepancies to one or more of treatment approach, appliance design, and manufacturing protocol within the particular cluster; and the computer providing the correlation as feedback for optimizing the one or more of initial physical dental condition, initial diagnoses, dental treatment parameters, intended dental treatment outcomes, actual dental treatment outcomes, appliance design, manufacturing protocol, clinician, clinician geography, clinician training, size and nature of clinician'"'"'s practice, and patient demographics. - View Dependent Claims (2, 3, 4, 5, 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)
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32. An apparatus, comprising:
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one or more processors; a database including stored information related to a plurality of patient treatment histories, each including; an initial data set representing teeth of each dental patient prior to treatment; an intended dental treatment outcome data set for each dental patient; and an actual dental treatment outcome data set for each dental patient; and a memory for storing instructions which, when executed by the one or more processors, causes the one or more processors to; access information from the database; perform a clustering operation on the accessed information from the database to cluster the information into clusters based on at least one of a number of parameters includini initial physical dental condition, initial diagnoses, dental treatment parameters, intended dental treatment outcomes, actual dental treatment outcomes, appliance design, manufacturing protocol, clinician, clinician geography, clinician training, size and nature of clinician'"'"'s practice, and patient demographics; model discrepancies between the intended dental treatment outcome data sets and the actual dental treatment outcome data sets within a particular cluster; correlate the modeled discrepancies to one or more of treatment approach, appliance design, and manufacturing protocol within the particular cluster; and provide the correlation as feedback for optimizing the one or more of initial physical dental condition, initial diagnoses, treatment approach, intended dental treatment outcomes, actual dental treatment outcomes, appliance design, manufacturing protocol, clinician, clinician geography, clinician training, size and nature of clinician'"'"'s practice, and patient demographics. - View Dependent Claims (33)
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Specification