STATE CHARACTERIZATION BASED ON MULTI-VARIATE DATA FUSION TECHNIQUES
The ingestible event marker data framework provides a uniform, comprehensive framework to enable various functions and utilities related to ingestible event marker data (IEM data). Included are a receiver adapted to be associated with a body of an individual, the receiver configured to receive IEM data; a hub to receive the IEM data; and at least one IEM data system to receive the data from the hub. Among other information, behavioral data and predictive inferences may be provided.
1 - 16 . (canceled)
17 . An Ingestible Event Marker (IEM) data system, comprising:
a processor;
a receiver configured to receive a signal comprising IEM data, wherein the signal is transmitted from an IEM device within a body of an individual; and
a memory component configured to store instructions that, when executed by the processor, cause the processor to:
determine a metric based, at least in part, on the IEM data received from within the IEM device; and
generate predictive information associated with a state of the ingesting patient based, at least in part, on the determined metric.
18 . The IEM data system of claim 17 , wherein the IEM data system further comprises a transmitter, wherein the transmitter and receiver are collectively configured to communicably couple the IEM data system to a hub.
19 . The IEM data system of claim 18 , wherein the hub comprises a software agent configured to aggregate the IEM data and additional information associated with the individual.
20 . The IEM data system of claim 19 , wherein the additional information comprises a time of ingestion or a biometric associated with the individual.
21 . The IEM data system of claim 19 , further comprising a feedback loop system, wherein the feedback loop system is configured to:
aggregate IEM data from the IEM data system and the second IEM data system;
analyze the aggregated IEM data; and
generate feedback information associated with the individual based, at least in part, on the analysis of the aggregated IEM data.
22 . The IEM data system of claim 21 , wherein the software agent is further configured to forward the aggregated IEM data and additional information to the feedback loop system.
23 . The IEM data system of claim 19 , wherein the hub comprises a mobile telephone associated with the individual.
24 . The IEM data system of claim 17 , wherein the IEM data system further comprises a transmitter, wherein the transmitter and receiver are collectively configured to communicably couple the IEM data system to a second IEM data system, and wherein the processor is configured to interoperate with the second IEM data system to manage the IEM data.
25 . The IEM data system of claim 24 , wherein the second IEM data system comprises a medical database, and wherein the IEM data system is further configured to manage the IEM data based, at least in part, medical data stored in the medical database.
26 . The IEM data system of claim 19 , wherein the processor is further configured to manage an activity associated with the individual based, at least in part, on the IEM data.
27 . The IEM data system of claim 20 , wherein the activity is associated with a bill to be sent to the individual.
28 . The IEM data system of claim 17 , wherein the memory component is further configured to store an analysis module, a metrics module, and a predictive information module, wherein the analysis module, the metrics module, and the predictive information module are configured to collectively cause the processor to generate the predictive information.
29 . The IEM data system of claim 17 , wherein the IEM data system is built around predefined function, and wherein the IEM data system is configured via an IEM data framework.
30 . The IEM data system of claim 17 , wherein the IEM data system is built around a predefined business function and is enabled via an IEM data framework comprising at least one of a hub, a second IEM data system, and a feedback loop system, or combinations thereof.
31 . An Ingestible Event Marker (IEM) system comprising:
an IEM data collection system comprising:
a processor;
a receiver configured to receive a signal comprising IEM data, wherein the signal is transmitted from an IEM device within a body of an individual; and
a memory component configured to store instructions that, when executed by the processor, cause the processor to:
determine a metric based, at least in part, on the IEM data received from within the IEM device; and
generate predictive information associated with a state of the ingesting patient based, at least in part, on the determined metric; and
an IEM data aggregation system communicably coupled to the IEM data collection system, wherein the IEM data aggregation system is configured to aggregate the IEM data from the IEM data collection system with additional information from a secondary source.
32 . The IEM data system of claim 31 , wherein the IEM data aggregation system comprises a feedback loop system, wherein the feedback loop system is configured to:
aggregate IEM data from the IEM data system and the secondary source;
analyze the aggregated IEM data; and
generate feedback information associated with the individual based, at least in part, on the analysis of the aggregated IEM data.
33 . The IEM data system of claim 31 , wherein the IEM data aggregation system comprises a hub.
34 . The IEM data system of claim 33 , wherein the hub comprises a software agent configured to aggregate the IEM data and additional information associated with the individual.
35 . The IEM data system of claim 33 , wherein the hub comprises a mobile telephone associated with the individual.
36 . The IEM data system of claim 31 , wherein the secondary source comprises a medical database, and wherein the IEM data aggregation system is configured to aggregate the IEM data from the IEM data collection system with medical data stored in the medical database.
37 . The IEM data system of claim 36 , wherein the IEM data system is further configured to manage an activity associated with the individual based, at least in part, on the IEM data.