Activities per year
Abstract
Objectives. Develop and test an autonomous, portable device for drug usage monitoring. The device aims to record the release of a dose of the GSK Ellipta Inhaler medication and send the information to the data collector and make it accessible to the doctor. The system is made to maximize the efficiency of drug use by providing the facility with detailed information collection and referral to a specialist who can thus effectively treat the patient, bringing the necessary adjustments to drug use.
Materials and Methods. The project use now rapidly advancing IoT system, which allows the device to be as compact and energy efficient as possible with minimal stress on the patient. The enclosed system module binds directly without any modification of the inhaler, additionally, it puts minimal stress on the patient, making it suitable for a wide range of cases. Various data collection methods are used for the optimization.
Results. The number of doses administered by the inhaler was compared with the number of doses recorded by the device in 10 study subjects. The device has recorded all doses released by the inhaler, i.e. whether the information in the device dose counter and the electronic database match. In this sample of study subjects, there was one case in which the planned dose was not recorded. This result can be considered very good and correlates well with the real-time signal-tracking finding described above.
Conclusions. We conclude that, overall, the device performs all its functions. We have observed a significant improvement in patient adherence (close to 100%) compared to the adherence reported in the literature (35–70%). We expect that improvements in disease control would also be observed over a longer period of data recording.
Materials and Methods. The project use now rapidly advancing IoT system, which allows the device to be as compact and energy efficient as possible with minimal stress on the patient. The enclosed system module binds directly without any modification of the inhaler, additionally, it puts minimal stress on the patient, making it suitable for a wide range of cases. Various data collection methods are used for the optimization.
Results. The number of doses administered by the inhaler was compared with the number of doses recorded by the device in 10 study subjects. The device has recorded all doses released by the inhaler, i.e. whether the information in the device dose counter and the electronic database match. In this sample of study subjects, there was one case in which the planned dose was not recorded. This result can be considered very good and correlates well with the real-time signal-tracking finding described above.
Conclusions. We conclude that, overall, the device performs all its functions. We have observed a significant improvement in patient adherence (close to 100%) compared to the adherence reported in the literature (35–70%). We expect that improvements in disease control would also be observed over a longer period of data recording.
Original language | English |
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Pages (from-to) | 43 |
Journal | Medicina (Kaunas) |
Volume | 59 |
Issue number | Suppl.2 |
Publication status | Published - 2023 |
Event | RSU Research Week 2023: Research Week 2023 Rīga Stradiņš University - Riga Stradins University, Riga, Latvia Duration: 27 Mar 2023 → 31 Mar 2023 https://rw2023.rsu.lv/general-information https://rw2023.rsu.lv |
Field of Science*
- 1.3 Physical sciences
- 3.3 Health sciences
Publication Type*
- 3.4. Other publications in conference proceedings (including local)
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Dive into the research topics of 'THE AUTOMATED IOT SYSTEM FOR THE GSK ELLIPTA INHALER TO ASSESS PATIENT ADHERENCE'. Together they form a unique fingerprint.Activities
- 1 Oral presentation
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The Automated IoT System for the GSK Ellipta Inhaler to Asses Patient Adherence
Miscenko, A. (Speaker), Šmits, D. (Co-author) & Proskurins, J. (Co-author)
29 Mar 2023Activity: Talk or presentation types › Oral presentation