由於沒有準時服藥導致病情惡化，會需要花費更多的時間金錢來彌補，甚至是危及生命安全，造成不可挽回的後果。由於手機已成為人類生活中不可或缺的一部分，因此目前市面上智慧藥盒的服藥提醒大都是透過手機應用程式來達成，不過服藥提醒都需要使用者手動排程並輸入，會有排程錯誤、輸入錯誤的問題發生。
本論文對於提高藥物服用遵從率，以降低可避免的死亡和額外花費，提出服藥提醒之研究，將包含兩個部分：(1)配合作息之服藥提醒。在此方法之下，服藥提醒就能根據過去的生活作息，將提醒鬧鐘自動根據處方箋排程在最高機率回應的時間點。此外服藥提醒還會將藥物分組，使多種藥物服藥次數不過於頻繁，並使每天服藥時間點規律；(2)人類作息與回應模擬器。首先由於生活作息接近手機使用紀錄，我們開發一個手機應用程式來收集使用手機與回應提醒鬧鐘的資料，為了在短時間內驗證服藥提醒機制的效果，所以我們根據收集的資料實作人類作息與回應模擬器來產生一天使用手機的資料，並且模擬人收到服藥提醒所做出的回應。

As the condition worsens due to not taking medicine on time, it will take more time and money to make up for it, and even endanger life and cause irreparable consequences. Since mobile phones have become an indispensable part of human life, the current medicine reminders for smart pill dispensers on the market are mostly achieved through mobile phone applications. However, medicine reminders need to be manually scheduled and entered by the user, and scheduling errors and typing errors can occur.
In this paper, in order to improve the adherence of medication to reduce avoidable deaths and extra costs, the paper will include two parts. (1) Medicine reminder based on daily routine. Under this method, medicine reminders can be based on past daily routine and automatically scheduled according to the prescription to the time point of the highest probability of response. In addition, medicine reminders will also group multiple medications so that reminders are not too frequent, and the timing of medicine reminders is regular every day. (2) Human daily routine and response simulator. First of all, since daily routine is close to mobile phone usage records, we developed a mobile application to collect data about mobile phone usage and response of default medicine reminder. In order to verify the effectiveness of the medicine reminder mechanism in a short time, we implemented human daily routine and response simulator based on the collected data. The simulator is used to generate data about using the mobile phone and responding to medicine reminders.

[1] Antoun, W., et al. (2018). Smart Medicine Dispenser (SMD). 2018 IEEE 4th Middle East Conference on Biomedical Engineering (MECBME).
[2] Ashwini, B., et al. (2013). "An Android based medication reminder system based on OCR using ANN." International Journal of Computer Applications 975: 8887.
[3] Britannica, T. E. o. E. (2014). "Habit." from https://www.britannica.com/topic/habit-behaviour.
[4] Chua, J. C., et al. (2012). Using paper prototyping to assess the perceived acceptance of MedMate: A home-based pill dispenser. 2012 Southeast Asian Network of Ergonomics Societies Conference (SEANES).
[5] Colby SL, Ortman JM. Projections of the Size and Composition of the U.S. Population: 2014 to 2060, Current Population Reports, P25-1143, U.S. Census Bureau, Washington, DC, 2014.
[6] Crema, C., et al. (2015). A smartphone-enhanced pill-dispenser providing patient identification and in-take recognition. 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings.
[7] Fenerty, S. D., et al. (2012). "The effect of reminder systems on patients’ adherence to treatment." Patient preference and adherence 6: 127.
[8] Hero Health (2016). "Hero Medication Dispenser, Manager, & Pill Organizer | Hero." from https://herohealth.com/?ref=producthunt&utm_campaign=producthunt.
[9] Khan, F. A. and M. I. Khan (2016). Android based health care system for aged diabetic patients. 2016 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), IEEE.
[10] Kumar, S. B., et al. (2018). Smart Medicine Reminder Device For The Elderly. 2018 Fourth International Conference on Advances in Computing, Communication & Automation (ICACCA), IEEE.
[11] Mondragón, A., et al. (2017). Medi-Kit: Developing a solution to improve attention on medical treatment. 2017 IEEE Mexican Humanitarian Technology Conference (MHTC).
[12] Nate, S., et al. (2016). "Smart reminder application with GPS system." International Research Journal of Engineering and Technology (IRJET) 3(4): 131-134.
[13] Osterberg L, Blaschke T. Adherence to medication. N Engl J Med. 2005 Aug 4;353(5):487–97. doi: 10.1056/nejmra050100.
[14] Pande, A., et al. (2016). "MEDMINDER: A MEDICINE INTAKE SCHEDULER AND REMINDER." Development 3(5).
[15] Pandey, P. S., et al. (2018). The real time hardware of Smart Medicine Dispenser to Reduce the Adverse Drugs Reactions. 2018 International Conference on Advances in Computing and Communication Engineering (ICACCE), IEEE.
[16] PillDrill (2013). "PillDrill - Smart medication tracking that simply works™." from https://www.pilldrill.com/
[17] Pillsy (2015). "Pillsy | Connected Medication Platform, with Smart Pill Bottle, App and Secure Cloud-Based Platform." from https://www.pillsy.com/
[18] Pirani, E. Z., et al. (2016). "Android based assistive toolkit for alzheimer." Procedia Computer Science 79: 143-151.
[19] Rainie, L. and K. Zickuhr (2015). "Americans’ views on mobile etiquette." Pew Research Center 26: 948-958.
[20] Sharma, S., et al. (2018). "Salubrity-A medicine reminder application using android."
[21] UN (2019). "World Population Ageing 2019: Highlights." from https://www.un.org/en/development/desa/population/publications/pdf/ageing/WorldPopulationAgeing2019-Highlights.pdf.
[22] Ward BW, Schiller JS, Goodman RA. Multiple Chronic Conditions Among US Adults: A 2012 Update. Prev Chronic Dis 2014;11:130389.
[23] 杰雲科技 (2018). "Mr.Pill 藥管家 智慧藥盒." from https://www.mymrpill.com/
[24] 林軒至 (2014). 雲端醫療資訊系統中個人化用藥排程演算法設計與實作. 成功大學製造資訊與系統研究所學位論文, 成功大學: 1-58.