Abstract: The method of event-driven health and wellness decision support considers an individual's medical records and lifestyle; applies healthcare best practices; and recommends next steps. Medical and lifestyle records are input, converted to events and inserted in timestamp order in an event queue. Events are processed in queued order by handlers, and results recorded in a data structure called a “person state”. Some handlers create additional events and insert them in the event queue in timestamp order. Those events are in turn processed in timestamp order. Other handlers create no events, allowing processing of all queued events to eventually complete. After events representing actual occurrences are processed, events representing postulated activities are created, queued, and processed until a specific patient state representing a health and wellness goal obtains. This allows several activity paths to be compared to determine the best path to an optimal health goal. Next steps are recommended as output.

Abstract: The method of event-driven health and wellness decision support considers an individual's medical records and lifestyle; applies healthcare best practices; and recommends next steps. Medical and lifestyle records are input, converted to events and inserted in timestamp order in an event queue. Events are processed in queued order by handlers, and results recorded in a data structure called a “person state”. Some handlers create additional events and insert them in the event queue in timestamp order. Those events are in turn processed in timestamp order. Other handlers create no events, allowing processing of all queued events to eventually complete. After events representing actual occurrences are processed, events representing postulated activities are created, queued, and processed until a specific patient state representing a health and wellness goal obtains. This allows several activity paths to be compared to determine the best path to an optimal health goal. Next steps are recommended as output.

Abstract: The method of event-driven health and wellness decision support considers an individual's medical records and lifestyle; applies healthcare best practices; and recommends next steps. Medical and lifestyle records are input, converted to events and inserted in timestamp order in an event queue. Events are processed in queued order by handlers, and results recorded in a data structure called a “person state”. Some handlers create additional events and insert them in the event queue in timestamp order. Those events are in turn processed in timestamp order. Other handlers create no events, allowing processing of all queued events to eventually complete. After events representing actual occurrences are processed, events representing postulated activities are created, queued, and processed until a specific patient state representing a health and wellness goal obtains. This allows several activity paths to be compared to determine the best path to an optimal health goal. Next steps are recommended as output.

Abstract: To update a database of records having person attributes using an input record containing person attributes and authorization information, a person attribute of an input record is compared to a person attribute for each record in the database, and records in the database are identified as matched records. A composite record is created from the input record and the matched record. A portion of the input record is written to the database if the authorization information contains either an authorized provider ID or a prior-use indicator. An output record is thus generated consisting of the input record and authorization information containing a prior-use indicator. A cascade of a first instance and a second instance wherein the database comprises a first database in the first instance and a second database in the second instance may be performed.

Abstract: To update a database of records having person attributes using an input record containing person attributes and authorization information, a person attribute of an input record is compared to a person attribute for each record in the database, and records in the database are identified as matched records. A composite record is created from the input record and the matched record. A portion of the input record is written to the database if the authorization information contains either an authorized provider ID or a prior-use indicator. An output record is thus generated consisting of the input record and authorization information containing a prior-use indicator. A cascade of a first instance and a second instance wherein the database comprises a first database in the first instance and a second database in the second instance may be performed.