Abstract: A method and system for analyzing a relationship between agents and clinical outcomes is disclosed. The method includes: receiving a selection of one or more agents; receiving a selection of one or more clinical outcomes; for each of the one or more agents, analyzing clinical data stored in a database to determine a number of occurrences of each of the one or more clinical outcomes when the agent is administered; for each of the one or more agents, calculating a risk score for each clinical outcome corresponding to the number of occurrences of the clinical outcome; and outputting the risk scores to a graphical display. The displayed information can also be scaled and filtered for ease of use. Also, the results may be stratified into sub-populations.

Abstract: The present disclosure provides systems and methods that generating health diagnostic information from an audio recording. A computing system can include a machine-learned health model comprising that includes a sound model trained to receive data descriptive of a patient audio recording and output sound description data. The computing system can include a diagnostic model trained to receive the sound description data and output a diagnostic score. The computing system can include at least one tangible, non-transitory computer-readable medium that stores instructions that, when executed, cause the processor to perform operations. The operations can include obtaining the patient audio recording; inputting data descriptive of the patient audio recording into the sound model; receiving, as an output of the sound model, the sound description data; inputting the sound description data into the diagnostic model; and receiving, as an output of the diagnostic model, the diagnostic score.

Abstract: A method and system for analyzing a relationship between agents and clinical outcomes is disclosed. The method includes: receiving a selection of one or more agents; receiving a selection of one or more clinical outcomes; for each of the one or more agents, analyzing clinical data stored in a database to determine a number of occurrences of each of the one or more clinical outcomes when the agent is administered; for each of the one or more agents, calculating a risk score for each clinical outcome corresponding to the number of occurrences of the clinical outcome; and outputting the risk scores to a graphical display. The displayed information can also be scaled and filtered for ease of use. Also, the results may be stratified into sub-populations.

Abstract: Optimization of therapeutic outcomes is disclosed. By analyzing molecular genomic sequence data from an individual relative to a pre-defined knowledge base as well as dynamically generated analyses from comparison to a set of other individuals and molecular genomic sequence data of those other individuals along with their therapeutic history and clinical outcome, medication selection for optimum therapeutic outcomes is achieved. The system determines likelihoods of the desired clinical outcome and adverse event profile derived from both the predefined knowledge base along with the dynamic analysis of large-scale population data (e.g., 1 million clinical profiles including linked genomes or some appropriate sample size of clinical profiles with linked genomes sufficient for statistically-powered analyses), and provides a set of recommendations and alternatives for a clinician based on the patient's profile.

Abstract: An embodiment of the disclosure provides a method for performing claim adjudication by an adherence server. The adherence server includes a non-transitory computer readable medium and a processor to execute computer executable instructions stored on the non-transitory computer readable medium, so that when the instructions are executed, the adherence server performs the method of: (a) receiving adherence data describing a patient's adherence to a prescribed medication; (b) determining an adherence level for the patient using the received adherence data; (c) comparing the adherence level to an adherence threshold; and (d) providing, to a second device, an adherence decision based on the comparison between the adherence data and the adherence threshold.

Abstract: A method and system for analyzing a relationship between agents and clinical outcomes is disclosed. The method includes: receiving a selection of one or more agents; receiving a selection of one or more clinical outcomes; for each of the one or more agents, analyzing clinical data stored in a database to determine a number of occurrences of each of the one or more clinical outcomes when the agent is administered; for each of the one or more agents, calculating a risk score for each clinical outcome corresponding to the number of occurrences of the clinical outcome; and outputting the risk scores to a graphical display. The displayed information can also be scaled and filtered for ease of use. Also, the results may be stratified into sub-populations.

Abstract: A method and system for analyzing a relationship between agents and clinical outcomes is disclosed. The method includes: receiving a selection of one or more agents; receiving a selection of one or more clinical outcomes; for each of the one or more agents, analyzing clinical data stored in a database to determine a number of occurrences of each of the one or more clinical outcomes when the agent is administered; for each of the one or more agents, calculating a risk score for each clinical outcome corresponding to the number of occurrences of the clinical outcome; and outputting the risk scores to a graphical display. The displayed information can also be scaled and filtered for ease of use. Also, the results may be stratified into sub-populations.

Abstract: Embodiments of the disclosure provide systems and methods for application discovery, subsidy and assessment. The application can be a software application for use on a phone, tablet computer or other mobile device or a computer such as a laptop computer or desktop computer. In some embodiments, the application relates to health and/or well being of a patient or user of the application. Embodiments of the disclosure describe systems and methods for a user to discover applications in an online application store.

Abstract: A method, computer-readable storage medium, and system for analyzing a relationship between one or more agents and one or more clinical outcomes. The method includes: receiving a selection of one or more agents; receiving a selection of one or more clinical outcomes; for each of the one or more agents, analyzing clinical data stored in a database to determine a number of occurrences of each of the one or more clinical outcomes when the agent is administered; for each of the one or more agents, calculating a risk score for each clinical outcome corresponding to the number of occurrences of the clinical outcome; and outputting the risk scores to a graphical display.

Abstract: A method, computer-readable storage medium, and system for analyzing a relationship between one or more agents and one or more clinical outcomes. The method includes: receiving a selection of one or more agents; receiving a selection of one or more clinical outcomes; for each of the one or more agents, analyzing clinical data stored in a database to determine a number of occurrences of each of the one or more clinical outcomes when the agent is administered; for each of the one or more agents, calculating a risk score for each clinical outcome corresponding to the number of occurrences of the clinical outcome; and outputting the risk scores to a graphical display.