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Structures and protocols are presented for signaling a status or decision (processing or transmitting a medical record or other resource, e.g.) conditionally. Such signaling may be partly based on one or more symptoms, regimen attributes, performance indicia (compliance indications, e.g.), privacy considerations (patient consent, e.g.), contextual considerations (being in or admitted by a care facility, e.g.), sensor data, or other such determinants. In some contexts this may trigger an incentive being manifested (as a dispensation of an item, e.g.), an intercommunication (telephone call, e.g.) beginning, a device being configured (enabled or customized, e.g.), data distillations being presented or tracked, or other such results.

Evidence-based healthcare information management protocols

Systems, methods and devices for modifying a patient adherence score which include, in one implementation, obtaining a patient profile in a patient population, the patient profile including multiple patient attributes and each patient attribute including a value; obtaining an adherence score for the patient profile for predicting patient adherence based on one or more of the multiple patient attributes wherein the adherence score indicates a likelihood of adherence of the patient to the prescribed treatment; and applying a modifier associated with an application to modify the adherence score obtained for the patient profile into a modified score for the application.

Modifying a patient adherence score

A system and method for improving adherence to therapy programs, in particular to adherence to medication therapy and/or to healthcare therapy, that includes medication therapy. Methods of the present invention may also be used to improve compliance with and/or adherence to other wellness and/or health care programs. Methods and systems of the invention may include methods of identifying patients who are at risk of non-adherence, non-compliance, or likelihood of cessation with a therapy program, predicting a basis for such noncompliance, and targeting interventions directed to patients who have been identified as likely to be non-compliant, wherein interventions take into consideration the predicted basis for noncompliance.

Methods and systems for improving therapy adherence

Systems and techniques are disclosed for determining a health risk assessment score for a patient who did not complete a health risk assessment. In some implementations, the health risk assessment score can be determined for the patient who did not respond based on a behavior prediction score obtained for the patient who did not respond, behavior prediction scores for patients who did respond to the health risk assessment, and health risk assessment scores for the patients who did respond.

Obtaining patient survey results

Data characterizing an individual is received. Thereafter, one or more variables are extracted from the data so that, using a predictive model populated with the extracted variables, a likelihood of the individual adhering to a treatment regimen can be determined. The predictive model is trained on historical treatment regimen adherence data empirically derived from a plurality of subjects. Subsequently, data characterizing the determined likelihood of adherence can be promoted. Related apparatus, systems, techniques and articles are also described.

Method and system for predicting adherence to a treatment

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Method and system for predicting adherence to a treatment