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.
Claims16
A system, comprising:
- a processor;
- a communications interface configured to communicate with at least one other system;
- and
- a memory storing computer readable instructions that, when executed by the processor, cause the system to:
- obtain data packets including, at least, historical patient data including one or more prescription drugs associated with the one or more patients;
- create a resultant data file using the historical patient data for the one or more patients;
- select patients from the one or more patients associated with the data file;
- determine one or more variables related to health care adherence for each patient by, at least, determining a probability of non-adherence for each patient of the one or more patients, determining a probability of conversion from non-adherence to adherence for each patient of the one or more patients, and determining a cost reduction for each patient, of the one or more patients, when the patient is considered to be adherent;
- calculate a score for each patient by combining the probability of non-adherence for each patient by the probability of conversion from non-adherence to adherence for each patient and further combining the cost reduction for each patient when the patient is considered to be adherent;
- apply the score to each patient;
- and
- generate a user interface for display that includes, at least, an ordered listing of each patient, the ordered listing includes a row for each patient where each row includes at least the patient first and last name, an indication of medication adherence, a value associated with the score and corresponding to possible future adherence to at least one medication for each patient, and an indication as to whether an intervention is recommended, wherein the ordered listing may be configured to be sorted based on the value.
A non-transitory computer-readable storage medium comprising a program executable by a computer having at least one processor, the program when executed causing the computer to:
- obtain data packets including, at least, historical patient data including one or more prescription drugs associated with the one or more patients;
- create a resultant data file using the historical patient data for the one or more patients;
- select patients from the one or more patients associated with the data file;
- determine one or more variables related to health care adherence for each patient by, at least, determining a probability of non-adherence for each patient of the one or more patients, determining a probability of conversion from non-adherence to adherence for each patient of the one or more patients, and determining a cost benefit for each patient, of the one or more patients, associated with adherence;
- calculate a score for each patient by combining the probability of non-adherence for each patient by the probability of conversion from non-adherence to adherence for each patient and further combining the cost reduction for each patient when the patient is considered to be adherent;
- apply the score to each patient;
- and
- generate a user interface for display that includes, at least, an ordered listing of each patient having a value associated with the calculated score for each patient and corresponding to the value of possible future adherence to at least one medication for each patient.
A method for identifying a patient population implemented using a processing system having at least one processor, at least one memory storing software instructions that are executable by the processor, at least one communications interface configured to communicate with at least one other system, the processor, the memory, and the communications interface operatively coupled to each other via a bus, the method comprising:
- obtaining data packets including, at least, historical patient data including one or more prescription drugs associated with the one or more patients;
- creating a resultant data file using the historical patient data for the one or more patients;
- selecting patients from the one or more patients associated with the data file;
- determining one or more variables related to health care adherence for each patient by, at least, determining a probability of non-adherence for each patient of the one or more patients, determining a probability of conversion from non-adherence to adherence for each patient of the one or more patients, and determining a cost benefit for each patient, of the one or more patients, associated with adherence;
- calculating a score for each patient by combining the probability of non-adherence for each patient by the probability of conversion from non-adherence to adherence for each patient and further combining the cost reduction for each patient when the patient is considered to be adherent;
- applying the score to each patient;
- and
- generating a user interface for display that includes, at least, an ordered listing of each patient having a value associated with the calculated score for each patient and corresponding to the value of possible future adherence to at least one medication for each patient.
Dependencies are inferred from the claim text.