AKILLI İLAC KUTUSU PROTOTİP TASARIMI
Project no. 20490 · Status: Kapanmış · 2019
Summary
Nowadays there can be various diseases that people suffer. These diseases can obstruct people's lives in many different ways. Some of the most well-known of these diseases are Alzheimer's disease, mental illness and diseases that are often encountered by the elders. For the treatment of these diseases, it is very important to take regular and correct doses of medication. However, patients may sometimes forget to take medication, take different doses, or, for various reasons, may not inadvertently take their medication regularly. Studies on this issue emphasize the importance of minimizing disruptions in people's medicine intake for different reasons. Thıs project’s aim is to ensure that the patients receive the drugs at the right time and at the right doses. Long-term medications and specified dosages written to the patient will be entered into the system by the authorized person or by the pharmacist. In the first prototype of the developed Smart Pill Box, the intake of up to 3 drugs can be controlled. The pharmacist or the caregiver will enter the details of these medications, as determined by the doctor, into the system. Medication details and dosage settings are controlled by a fingerprint sensor to ensure that only the responsible person (caregiver of pharmacist) can change them. The system works only with fingerprints of an authorized person. The Smart Pill Box will issue an alert when medication needs to be taken (audible and visual-light) and drop the medicines that come in that time slot into the pill depositor at the bottom. The sensor will check whether the patient has taken the drug. If the drug is not taken, an warning to the patient will be issues. As this warning is audible sound and light, it will draw the patient's attention to the Smart Pill Box. In the event that the medication in the depository is not taken, the patient's relatives or the person in charge of the patient will be informed. The work in this project was funded by the Research Fund of Ege Üniversity (BAP).