System and method for using unique identifying data for precautionary determination to send notifications to a user to reduce potential negative health outcomes related to implantable devices and recall, adverse event data

A method in a computing system for preemptive determination of the potential to send a notification to reduce potential negative health outcomes related to implantable devices and recall, adverse event data to a person having an electronic health record, the method comprising the steps of:

• accessing device-person tables that maintain specific sets of unique device identifier data including device identifier, lot number, serial number, expiration date;
• accessing extracted device-recall tables that maintain specific sets of unique device recall data including device identifier, lot number, serial number, expiration data, recall data, reason for recall;
• access extracted device-adverse_event tables that maintain specific sets of unique device adverse event data including device identifier, lot number, serial number, expiration date;
• employing a control server to compare the device-person table data against device-recall data;
• determining that at least one match exists between any of the selected devices included in the device-person, and device-recall tables, wherein at least one match indicates the potential for a negative health outcome if the user is not notified;
• determining that at least one match exists between any of the selected devices included in the device-person, and device-adverse_event tables, wherein at least one match indicates the potential for a negative health outcome if the user is not notified;
• sending a notification to a user following determination of a match existing using a user's demographic contact information stored in person table and sending said notification to medical staff of the user;
• storing said notification in said device-match table for future reference;
• and,
• creating a user to device list wherein upon a recall occurring the present invention tracks which users previously received said notification and sending this list of previously informed user to medical staff of them.