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Medication Adherence and Liquid Level Tracking System for Healthcare Provider Feedback
- Source :
- Sensors, Vol 20, Iss 2435, p 2435 (2020), Sensors, Volume 20, Issue 8, Sensors (Basel, Switzerland)
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- A common problem for healthcare providers is accurately tracking patients&rsquo<br />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 &ge<br />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.
- Subjects :
- eye drop medication
Computer science
medicine.medical_treatment
Health Personnel
0206 medical engineering
Medication adherence
02 engineering and technology
lcsh:Chemical technology
Biochemistry
Article
Analytical Chemistry
Medication Adherence
Machine Learning
03 medical and health sciences
InformationSystems_GENERAL
0302 clinical medicine
fluid level sensing
Health care
medicine
Humans
embedded sensing
lcsh:TP1-1185
030212 general & internal medicine
adherence
Electrical and Electronic Engineering
Medical prescription
Instrumentation
Focus (computing)
Medication use
business.industry
Event (computing)
Tracking system
Eye drop
medicine.disease
020601 biomedical engineering
internet of things
Atomic and Molecular Physics, and Optics
Medication regimen
glaucoma
Pill
Medical emergency
Ophthalmic Solutions
business
Healthcare providers
Algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Volume :
- 20
- Issue :
- 2435
- Database :
- OpenAIRE
- Journal :
- Sensors
- Accession number :
- edsair.doi.dedup.....71b5cd2901a6b0ca29c7fe9c075cd1f1