Methods and apparatus for providing decision support
First Claim
Patent Images
1. A machine-readable medium or media having instructions recorded thereon that when executed by a processor:
- (a) input a regression model specification related to providing predictions regarding the outcome for a patient of a medical treatment;
(b) repeat (a) a plurality of times to obtain and store a plurality of the regression model specifications;
(c) when a plurality of the stored regression model specifications are selected for use, analyze the selected regression model specifications to determine at least one of common variables and functions of common variables, to thereby determine a reduced-redundancy request for input of variables;
(d) output a user interface for display, the user interface including a plurality of fields to receive patient parameters corresponding to the reduced redundancy request for input of variables;
output for display a set of stored regression model specifications;
accept a selection of the displayed regression model specifications for use;
output for display a reduced-redundancy user interface that requests a user to provide input of variables for the selected regression model specifications;
accept input values for the variables requested; and
use the accepted input values to determine and provide for display results of the selected stored regression model specifications.
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Abstract
A method for providing decision support includes using a programmed computer to input a regression model specification, and to repeat the input a plurality of times to obtain and store a plurality of regression model specifications. The method further includes using the programmed computer to analyze selected regression model specifications to determine at least one of common variables and functions of common variables, to thereby determine a reduced-redundancy request for input of variables, when a plurality of the stored regression model specifications are selected for use.
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Citations
50 Claims
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1. A machine-readable medium or media having instructions recorded thereon that when executed by a processor:
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(a) input a regression model specification related to providing predictions regarding the outcome for a patient of a medical treatment; (b) repeat (a) a plurality of times to obtain and store a plurality of the regression model specifications; (c) when a plurality of the stored regression model specifications are selected for use, analyze the selected regression model specifications to determine at least one of common variables and functions of common variables, to thereby determine a reduced-redundancy request for input of variables; (d) output a user interface for display, the user interface including a plurality of fields to receive patient parameters corresponding to the reduced redundancy request for input of variables; output for display a set of stored regression model specifications; accept a selection of the displayed regression model specifications for use; output for display a reduced-redundancy user interface that requests a user to provide input of variables for the selected regression model specifications; accept input values for the variables requested; and use the accepted input values to determine and provide for display results of the selected stored regression model specifications. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method for providing decision support, the method comprising using a programmed computer to:
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(a) input a regression model specification related to providing predictions regarding the outcome for a patient of a medical treatment; (b) repeat (a) a plurality of times to obtain and store in computer readable memory a plurality of the regression model specifications; (c) when a plurality of the stored regression model specifications are selected for use, analyze the selected regression model specifications to determine at least one of common variables and/or functions of common variables, to thereby determine a reduced-redundancy request for input of variables; and (d) output for display a user interface including one or more fields to receive respective patient parameters corresponding to the reduced redundancy request for input of variables; display a set of stored regression model specifications; accept a selection of the displayed regression model specifications for use; display a reduced-redundancy user interface that requests a user to provide input of variables for the selection of regression model specifications; accept input values for the variables requested; and use the accepted input values to determine and display results of the selected stored regression model specifications. - View Dependent Claims (8, 9, 10, 11, 12, 13)
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14. A method for providing medical decision support with respect to medical treatments, the method comprising using a programmed computer to:
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providing a user interface for inputting a plurality of regression model specifications related to medical treatment and outcome; providing a user interface via which the user can select all or a subset of the plurality of the regression model specifications; identifying common variables and/or functions of common variables with respect to the selected regression model specifications, to thereby determine a reduced-redundancy request for input of variables; outputting for display a reduced-redundancy user interface that requests a user to provide input of variables for the selected regression model specifications; receiving input values for the variables requested; causing at least in part the regression model specifications selected by the user to be run using the received input values to obtain results; causing at least in part the results of the regression model specifications to be output for display to the user; and identifying one or more common variables in at least two regression model specifications; and determining a reduced-redundancy request for input of variables based on the identification of the one or more common variables. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A method for providing medical decision support with respect to medical treatments, the method comprising using a programmed computer to:
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providing a user interface for inputting a plurality of regression model specifications related to medical treatment and outcome; providing an interface via which a third-party request can select one or more of the plurality of the regression model specifications; causing at least in part the regression model specifications selected by the request to be run; causing at least in part results of the regression model specifications to be returned to the third-party; identifying one or more common variables in at least two regression model specifications; and determining a reduced-redundancy request for submission of variables based on the identification of the one or more common variables. - View Dependent Claims (26, 27, 28)
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29. A machine-readable medium or media having instructions recorded thereon that when executed by a processor:
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(a) input a regression model specification related to providing predictions regarding the outcome for a patient of a medical treatment; (b) repeat (a) a plurality of times to obtain and store a plurality of the regression model specifications; (c) when a plurality of the stored regression model specifications are selected for use, analyze the selected regression model specifications to determine at least one of common variables and functions of common variables, to thereby determine a reduced-redundancy request for input of variables; (d) output a user interface for display, the user interface including a plurality of fields to receive patient parameters corresponding to the reduced redundancy request for input of variables; output for display a set of stored regression model specifications; accept a selection of the displayed regression model specifications for use; determine whether a first parameter for a first regression model can be derived from one or more parameters of other regression models via one or more calculations, and if so, inhibiting a redundant request with respect to the first parameter.
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30. A machine-readable medium or media having instructions recorded thereon that when executed by a processor:
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(a) input a regression model specification related to providing predictions regarding the outcome for a patient of a medical treatment; (b) repeat (a) a plurality of times to obtain and store a plurality of the regression model specifications; (c) when a plurality of the stored regression model specifications are selected for use, analyze the selected regression model specifications to determine at least one of common variables and functions of common variables, to thereby determine a reduced-redundancy request for input of variables; (d) output a user interface for display, the user interface including a plurality of fields to receive patient parameters corresponding to the reduced redundancy request for input of variables; output for display a set of stored regression model specifications; accept a selection of the displayed regression model specifications for use; and determine whether a first parameter for a first regression model can be obtained from one or more parameters of other regression models, and if so, inhibiting a redundant request with respect to the first parameter.
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31. A machine-readable medium or media having instructions recorded thereon that when executed by a processor:
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(a) input a regression model specification related to providing predictions regarding the outcome for a patient of a medical treatment; (b) repeat (a) a plurality of times to obtain and store a plurality of the regression model specifications; (c) when a plurality of the stored regression model specifications are selected for use, analyze the selected regression model specifications to determine at least one of common variables and functions of common variables, to thereby determine a reduced-redundancy request for input of variables; (d) output a user interface for display, the user interface including a plurality of fields to receive patient parameters corresponding to the reduced redundancy request for input of variables; output for display a set of stored regression model specifications; and accept a selection of the displayed regression model specifications for use; provide for display a parametric regression model form including fields configured to receive a medical outcome type request and a parameter transformation association with a parameter, wherein the parameter is age.
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32. A method for providing decision support, the method comprising using a programmed computer to:
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(a) input a regression model specification related to providing predictions regarding the outcome for a patient of a medical treatment; (b) repeat (a) a plurality of times to obtain and store in computer readable memory a plurality of the regression model specifications; (c) when a plurality of the stored regression model specifications are selected for use, analyze the selected regression model specifications to determine at least one of common variables and/or functions of common variables, to thereby determine a reduced-redundancy request for input of variables; and (d) output for display a user interface including one or more fields to receive respective patient parameters corresponding to the reduced redundancy request for input of variables; and determine whether a first parameter for a first regression model can be derived from one or more parameters of other regression models via one or more calculations, and if so, inhibiting a redundant request with respect to the first parameter.
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33. A method for providing decision support, the method comprising using a programmed computer to:
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(a) input a regression model specification related to providing predictions regarding the outcome for a patient of a medical treatment; (b) repeat (a) a plurality of times to obtain and store in computer readable memory a plurality of the regression model specifications; (c) when a plurality of the stored regression model specifications are selected for use, analyze the selected regression model specifications to determine at least one of common variables and/or functions of common variables, to thereby determine a reduced-redundancy request for input of variables; and (d) output for display a user interface including one or more fields to receive respective patient parameters corresponding to the reduced redundancy request for input of variables; and determine whether a first parameter for a first regression model can be obtained from one or more parameters of other regression models, and if so, inhibiting a redundant request with respect to the first parameter.
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34. A method for providing decision support, the method comprising using a programmed computer to:
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(a) input a regression model specification related to providing predictions regarding the outcome for a patient of a medical treatment; (b) repeat (a) a plurality of times to obtain and store in computer readable memory a plurality of the regression model specifications; (c) when a plurality of the stored regression model specifications are selected for use, analyze the selected regression model specifications to determine at least one of common variables and/or functions of common variables, to thereby determine a reduced-redundancy request for input of variables; and (d) output for display a user interface including one or more fields to receive respective patient parameters corresponding to the reduced redundancy request for input of variables; and provide for display a parametric regression model form including fields configured to receive a medical outcome type request and a parameter transformation association with a parameter, wherein the parameter is age.
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35. A method for providing medical decision support with respect to medical treatments, the method comprising using a programmed computer to:
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provide a user interface for presentation on a display via which a user can select from a plurality of regression model specifications related to providing predictions regarding the outcome of a medical treatment; provide a user interface for presentation on the display via which the user can initiate the running of the selected regression model specifications to be run using data related to a first patient; cause at least in part results of the regression model specifications to be returned to the user as human readable output, the output including predictions regarding the outcome of the medical treatment with respect to the first patient; and wherein the results of the regression model specifications to the user are in the form of patient educational material including a discussion of procedural risks and benefits. - View Dependent Claims (36, 37, 38, 39, 40, 41, 42)
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43. A method for providing medical decision support with respect to medical treatments, the method comprising using a programmed computer to:
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provide a user interface for presentation on a display via which a user can select from a plurality of regression model specifications related to providing predictions regarding the outcome of a medical treatment; provide a user interface for presentation on the display via which the user can initiate the running of the selected regression model specifications to be run using data related to a first patient; cause at least in part results of the regression model specifications to be returned to the user as human readable output, the output including predictions regarding the outcome of the medical treatment with respect to the first patient; and wherein the returned predications provide a predication related to treating the first patient using angioplasty and a prediction related to treating the first patient using bypass surgery.
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44. A method for providing medical decision support with respect to medical treatments, the method comprising using a programmed computer to:
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provide a user interface for presentation on a display via which a user can select from a plurality of regression model specifications related to providing predictions regarding the outcome of a medical treatment; provide a user interface for presentation on the display via which the user can initiate the running of the selected regression model specifications to be run using data related to a first patient; cause at least in part results of the regression model specifications to be returned to the user as human readable output, the output including predictions regarding the outcome of the medical treatment with respect to the first patient wherein the results of the regression model specifications are returned to the user as an informed consent document for the first patient; wherein the returned predications enable the first patient to assess risks associated with different treatments; and wherein the informed consent document is generated to include terms under which patient treatment is provided, a disclaimer, and a signature line for the first patient and/or another person authorized to provide consent for the first patient treatment.
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45. A method for providing medical decision support with respect to medical treatments, the method comprising using a programmed computer to:
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provide a user interface for presentation on a display via which a user can select from a plurality of regression model specifications related to providing predictions regarding the outcome of a medical treatment; provide a user interface for presentation on the display via which the user can initiate the running of the selected regression model specifications to be run using data related to a first patient; cause at least in part results of the regression model specifications to be returned to the user as human readable output, the output including predictions regarding the outcome of the medical treatment with respect to the first patient; and provide one or more portal content modules, including a workgroup directory and/or a discussion thread.
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46. A method for enabling a user to specify a regression model used to provide medical decision support with respect to a medical treatment, the method comprising using a programmed computer to:
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provide a user interface via which a user can specify a regression model type; provide a user interface via which a user can specify; an outcome type, a parameter type, a medical parameter name; a limit on a parameter range, the limit relating to a patient characteristic; obtain model coefficients; enable a user to run the regression model; and wherein the model coefficients include an intercept term, a mean square error term, and/or a number of degrees of freedom term. - View Dependent Claims (47, 48, 49, 50)
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Specification