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药物依从性和液体水平跟踪系统,供医疗服务提供者反馈。

Medication Adherence and Liquid Level Tracking System for Healthcare Provider Feedback.

机构信息

Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.

Department of Electrical and Computer Engineering, University of Michigan, Ann Arbor, MI 48109, USA.

出版信息

Sensors (Basel). 2020 Apr 24;20(8):2435. doi: 10.3390/s20082435.

Abstract

A common problem for healthcare providers is accurately tracking patients' adherence to medication and providing real-time feedback on the management of their medication regimen. This is a particular problem for eye drop medications, as the current commercially available monitors focus on measuring adherence to pills, and not to eye drops. This work presents an intelligent bottle sleeve that slides onto a prescription eye drop medication bottle. The intelligent sleeve is capable of detecting eye drop use, measuring fluid level, and sending use information to a healthcare team to facilitate intervention. The electronics embedded into the sleeve measure fluid level, dropper orientation, the state of the dropper top (on/off), and rates of angular motion during an application. The sleeve was tested with ten patients (age ≥65) and successfully identified and timestamped 94% of use events. On-board processing enabled event detection and the measurement of fluid levels at a 0.4 mL resolution. These data were communicated to the healthcare team using Bluetooth and Wi-Fi in real-time, enabling rapid feedback to the subject. The healthcare team can therefore monitor a log of medication use behavior to make informed decisions on treatment or support for the patient.

摘要

医疗服务提供者普遍面临的一个问题是如何准确跟踪患者对药物的依从性,并提供其药物管理方案的实时反馈。这对于滴眼剂药物来说尤其成问题,因为当前市售的监测器主要侧重于测量对药丸的依从性,而不是滴眼剂。本工作提出了一种智能瓶套,它可滑到处方滴眼剂药瓶上。智能套能够检测滴眼剂的使用情况、测量液量,并将使用信息发送给医疗团队,以方便进行干预。嵌入在套中的电子设备可测量液量、滴头方向、滴头顶部的状态(开/关)以及应用过程中的角速度。该套已在十名(年龄≥65 岁)患者中进行了测试,成功识别并标记了 94%的使用事件。板载处理能够实现事件检测以及以 0.4 mL 的分辨率测量液量。这些数据通过蓝牙和 Wi-Fi 实时传输给医疗团队,使患者能够快速得到反馈。医疗团队因此可以监控药物使用行为日志,以便就患者的治疗或支持做出明智决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/319e/7219493/b2441ef1559d/sensors-20-02435-g001.jpg

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