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US 11,887,027 B1Granted
Value of future adherence
AssigneeRxante, Inc.
InventorsDaniel Smith, Joshua Benner, Aaron McKethan, Loren Lidsky
Life of this patent
Estimating the term…
Abstract
The present technology calculates a value of future adherence (VFA) score which is a patient-level, predicted, expected cost of conversion from non-adherence to adherence over a specified time-frame. The score consists of three general components: (1) probability of being non-adherent, (2) cost reduction associated with being adherent, and (3) probability of converting from non-adherent to adherent. These values can be combined to create an overall VFA score. A user interface is then provided which shows at least a list of patients and information related to the VFA score.
Claims20
A system, comprising:
- a processor;
- and
- a memory configured to store computer readable instructions that, when executed by the processor, cause the system to:
- generate a list of candidates using, at least, medical history data;
- calculate one or more values associated with medication adherence for each candidate in the list of candidates, wherein calculating the one or more values includes:
- determining a probability of non-adherence for each candidate in the list of candidates,
- determining a probability of conversion from non-adherence to adherence for each candidate in the list of candidates, and
- determining a cost reduction for each candidate, in the list of candidates, when the candidate is considered to be adherent;
- calculate a score for each candidate by combining the probability of non-adherence, for each candidate, by the probability of conversion from non-adherence to adherence, for each candidate, and further combining the cost reduction for each candidate when the candidate is considered to be adherent;
- apply the calculated score to each candidate and generate an ordered listing of each candidate;
- based on the calculated score for each candidate, filter the ordered listing of each candidate;
- generate a subset listing of candidates based on the filtered ordered listing;
- and
- generate a user interface for display that includes, at least, the subset listing of each candidate, where each candidate in the subset listing is displayed in association with an indication of medication adherence and a value associated with the score and corresponding to possible future adherence to at least one medication for each candidate.
11 more elements
A method for determining a value of future adherence, comprising:
- at an information processing system having at least a processor and a memory:
- generating a list of candidates using, at least, medical history data;
- calculating one or more values associated with medication adherence for each candidate in the list of candidates, wherein calculating the one or more values includes:
- determining a probability of non-adherence for each candidate in the list of candidates,
- determining a probability of conversion from non-adherence to adherence for each candidate in the list of candidates, and
- determining a cost reduction for each candidate, in the list of candidates, when the candidate is considered to be adherent;
- calculating a score for each candidate by combining the probability of non-adherence, for each candidate, by the probability of conversion from non-adherence to adherence, for each candidate, and further combining the cost reduction for each candidate when the candidate is considered to be adherent;
- applying the calculated score to each candidate and generate an ordered listing of each candidate;
- based on the calculated score for each candidate, filtering the ordered listing of each candidate;
- generating a subset listing of candidates based on the filtered ordered listing;
- and
- generating output data that includes the calculated score in association with the each candidate in the subset listing of candidates.
9 more elements
A non-transitory computer readable storage medium configured to store computer readable instructions that, when executed by a processor of an information processing system, cause the information processing system to provide execution comprising:
- generating a list of candidates using, at least, medical history data;
- calculating one or more values associated with medication adherence for each candidate in the list of candidates, wherein calculating the one or more values includes:
- determining a probability of non-adherence for each candidate in the list of candidates,
- determining a probability of conversion from non-adherence to adherence for each candidate in the list of candidates, and
- determining a cost reduction for each candidate, in the list of candidates, when the candidate is considered to be adherent;
- calculating a score for each candidate by combining the probability of non-adherence, for each candidate, by the probability of conversion from non-adherence to adherence, for each candidate, and further combining the cost reduction for each candidate when the candidate is considered to be adherent;
- applying the calculated score to each candidate and generate an ordered listing of each candidate;
- based on the calculated score for each candidate, filtering the ordered listing of each candidate;
- and
- generating output data that includes the calculated score in association with the each candidate.
7 more elements
Dependencies are inferred from the claim text.