Gamification systems and methods for improved healthcare outcomes
OwnerJeff Stollmaninventor
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OwnerJeff Stollmaninventor
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A gamified pharmaceutical packaging, dispensing system, and methodology is disclosed. The innovative gamified smart packaging system and methodology provides a variety of incentives to patients and relevant teams to take their medications, on time, and at the correct dosage. The system comprises monitored pharmaceutical dispensing devices that communicate with a plurality of compute devices, or smartphones. Each time the patient dispenses the medicine from the dispensing device, a signal is transmitted to the compute device. Upon receiving the signal, the compute device records the dispensing event, calculates a specific “score” for that event, and reports the patient's cumulative “score” of successfully dispensing the medicine. If a dispensing event signal is not received in a timely fashion, the system sends a prompt to the patient to take their medication. Accumulating points by properly taking the prescribed medication allows the patient and/or team to be eligible to receive various benefits.
An automated system for recording taking or dispensing of pharmaceuticals using electronic signals from a plurality of smart pharmaceutical packages and monitored contextual information, said system comprising:
A computerized methodology for recording taking or dispensing of pharmaceuticals using electronic signals from a plurality of smart pharmaceutical packages and monitored contextual information, where said plurality of smart pharmaceutical packages include a sensor and a transmitter, wherein said plurality of smart pharmaceutical packages have a real-time communications link with at least one compute device operating said methodology, and wherein said methodology comprises the steps:
An automated system for recording taking or dispensing of pharmaceuticals using electronic signals from a plurality of smart pharmaceutical packages and monitored contextual information, said system comprising:
Dependencies are inferred from the claim text.