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An Ingestible Sensor for Measuring Medication Adherence
Abstract:
In this paper, we describe the design and performance of the first
integrated-circuit microsensor developed for daily ingestion by patients.
The ingestible sensor is a device that allows patients, families, and
physicians to measure medication ingestion and adherence patterns in real
time, relate pharmaceutical compliance to important physiologic metrics,
and take appropriate action in response to a patient's adherence pattern
and specific health metrics. The design and theory of operation of the
device are presented, along with key in-vitro and in-vivo performance
results. The chemical, toxicological, mechanical, and electrical safety tests
performed to establish the device's safety profile are described in detail.
Finally, aggregate results from multiple clinical trials involving 412
patients and 5656 days of system usage are presented to demonstrate the
device's reliability and performance as part of an overall digital health
feedback system.

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An ingestible sensor for measuring medication adherence

  • 1. An Ingestible Sensor for Measuring Medication Adherence Abstract: In this paper, we describe the design and performance of the first integrated-circuit microsensor developed for daily ingestion by patients. The ingestible sensor is a device that allows patients, families, and physicians to measure medication ingestion and adherence patterns in real time, relate pharmaceutical compliance to important physiologic metrics, and take appropriate action in response to a patient's adherence pattern and specific health metrics. The design and theory of operation of the device are presented, along with key in-vitro and in-vivo performance results. The chemical, toxicological, mechanical, and electrical safety tests performed to establish the device's safety profile are described in detail. Finally, aggregate results from multiple clinical trials involving 412 patients and 5656 days of system usage are presented to demonstrate the device's reliability and performance as part of an overall digital health feedback system.