Real-world evaluation of novel eye drop bottle sensors: Cloud-based AI support for eye drop adherence.

ABSTRACT: To understand real-world eye drop adherence among glaucoma patients and evaluate the performance of our proposed cloud-based support for eye drop adherence (CASEA). Prospective, observational case series. Setting: The Department of Ophthalmology at Tsukazaki Hospital. Patient or study population: Glaucoma patients treated at the hospital from May 2021 to September 2022, with 61 patients initially enrolled. Intervention or observation procedures: Pharmacists guided eye drop administration before the study. Changes in bottle orientation were detected using an accelerometer attached to the container, and acceleration waveforms and date/time data were recorded. Patients visited the clinic during the 4th and 8th weeks to report their eye drop administration, and the data were uploaded to the cl

SUBMITTER: Tabuchi H 

PROVIDER: S-EPMC11292234 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature