Smart IoT Mobile Medication Dispenser

Authors

  • Wai Leong Pang Multimedia University, Cyberjaya – 63100, MALAYSIA
  • Kah Yoong Chan Multimedia University, Cyberjaya – 63100, MALAYSIA
  • Gwo Chin Chung Keysight Technologies, Penang – 11900, MALAYSIA
  • It Ee Lee Multimedia University, Cyberjaya – 63100, MALAYSIA
  • Haziq Muqri Keysight Technologies, Penang – 11900, MALAYSIA

Keywords:

Medication dispenser, Smart Internet of Thing

Abstract

The increase in the population of senior citizens created a new challenge of the shortage of healthcare workers to take care of the elderly. The elderly with multiple chronic conditions face problems in managing their daily medication intake. This has inspired us to design a low-cost Smart Internet of Things (IoT) Mobile Medication Dispenser (SMMD) to take care of the daily medication intake of the elderly. SMMD consists of hardware (medication dispenser) and software (an app for the user to control the SMMD and program the time to dispense the medication). The NodeMCU is used to control the stepper motor, organic light-emitting diode (OLED), and motor driver. The OLED displays the current time and the time set by the caregiver/elderly to take the medicine. The SMMD with three wheels enables it to move and dispense medication to the elderly. The NodeMCU is connected to the Firebase database to access the time required to dispense the medicine. The total cost of SMMD is USD50 and is affordable for the elderly from the lower-income group and making the process of taking medicine not a hassle for the elderly. The price of SMMD can be much lower when it is mass-produced.

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References

Global Aging: The Challenge of Success. [Online]. Available: https://www.prb.org/globalagingthechallengeofsuccesspdf575kb/ Accessed on: Mar. 15, 2022.

G. Anderson and P. Hussey, “Population Aging: A Comparison Among Industrialized Countries,” Health Affairs, vol. 19, pp. 191-203, 2000.

Department of Statistics Malaysia, “Population and Demographics,”, [Online]. Available: https://www.dosm.gov.my/v1/index.php?r=column/ctwoByCat&parent_id=115&menu_id=L0pheU43NWJwRWVSZklWdzQ4TlhUUT09 Accessed on: Mar. 15, 2022.

A. Winterstein, B. Sauer, C. Hepler and C. Poole, “Preventable Drug-Related Hospital Admissions,” Annals of Pharmacotherapy, vol. 36, pp.1238-1248, 2002.

A. Garfein and A. Herzog, “Robust Aging among the Young-Old, Old-Old, and Oldest-Old,” The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, vol. 50, pp. S77-S87, 1995.

United Nations, “Take Action for The Sustainable Development Goals,”, [Online]. Available: https://www.un.org/sustainabledevelopment/sustainable-development-goals/ Accessed on: Mar. 15, 2022.

R. Ownby, “Medication adherence and cognition medical, personal, and economic factors influence level of adherence in older adults,” PubMed Central, vol. 61, pp. 30-35, 2013.

G. Ho, D. Wheatley and C. Scialfa, “Age differences in trust and reliance of a medication management system,” Interacting with Computers, vol. 17, pp. 690-710, 2005.

D. Glover, “Automated Medication Dispensing Devices,” Journal of the American Pharmaceutical Association, vol. 37, pp. 353-358, 1996.

D. Bates, D. Boyle, M. Vliet, J. Schneider and L. Leape, “Relationship between medication errors and adverse drug events,” Journal of General Internal Medicine, vol. 10, pp. 199-205, 1995.

H. Carlos, “Medication dispensing machine cassette with interactive information strip,” U.S. Patent US20040039481A1, Feb. 26, 2004.

E. Klein, J. Santora, P. Pascale and J. Kitrenos, “Medication cart-filling time, accuracy, and cost with an automated dispensing system,” American Journal of Health-System Pharmacy, vol. 51, pp. 1193-1196, 1994.

H. Schwarz and B. Brodowy, “Implementation and evaluation of an automated dispensing system,” American Journal of Health-System Pharmacy, vol. 52, pp. 823-828, 1995.

K. Hersberger, F. Boeni and I. Arnet, “Dose-dispensing service as an intervention to improve adherence to polymedication,” Expert Review of Clinical Pharmacology, vol. 6, pp. 413-421, 2013.

E-pill, Medication Reminders, “Medtime,”. [Online]. Available: https://www.epill.com/medtime.html Accessed on: Mar. 15, 2022.

Sopak, “Pill Dispenser,”. [Online]. Available: https://www.thingiverse.com/thing:1291374 Accessed on: Mar. 15, 2022.

A. L. Serpa. M. K. Villacres and N. X. Moscoso, “Inexpensive pill dispenser for the elderly suffering from non-communicable diseases,” Lecture Notes in Networks and Systems, vol. 260, pp. 452-457, 2021.

C. V. Nisha, S. Muthuramlingam, G. E. Rahul, P. S. Siva and V. Nishanthan, “Medical IoT—automatic medical dispensing machine,” Lecture Notes in Electrical Engineering, vol. 749, pp. 323-330, 2021.

K. R. Kishore, R. Vasuki and N. Kripa, “Modern smart medicine dispenser kit based on emergency alert system,” Journal of Xi'an Shiyou University, Natural Sciences Edition, vol. 64, pp. 123-137, 2021.

K. Ajitesh and K. Mona, “Non-living caretaker as a medicine box based on medical equipment using internet of things,” Advances in Intelligent Systems and Computing, vol. 1381, pp. 155-161, 2021.

S. Umamaheswari, B. Rahul and P. D. Dharun, “Smart medical dispenser with pulse meter,” in 2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), pp. 1-5, Oct. 2021.

Varshni Sivarajan, Pang Wai Leong, Chan Kah Yoong, Lee It Ee, Chung Gwo Chin and Wong Sew Kin, “Internet of Things in E-HealthcareSystem”, Journal of Engineering Technology and Applied Physics, vol. 4, no. 1, pp. 1-6, March 2022.

Ms. Pooja Sahu. (2015). Automatic Speech Recognition in Mobile Customer Care Service. International Journal of New Practices in Management and Engineering, 4(01), 07 - 11. Retrieved from http://ijnpme.org/index.php/IJNPME/article/view/34

Kalyani, B. ., Sai, K. P. ., Deepika, N. M. ., Shahanaz, S. ., & Lohitha, G. . (2023). Smart Multi-Model Emotion Recognition System with Deep learning. International Journal on Recent and Innovation Trends in Computing and Communication, 11(1), 139–144. https://doi.org/10.17762/ijritcc.v11i1.6061

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Published

11.07.2023

How to Cite

Pang, W. L. ., Chan, K. Y. ., Chung, G. C. ., Lee, I. E. ., & Muqri, H. . (2023). Smart IoT Mobile Medication Dispenser. International Journal of Intelligent Systems and Applications in Engineering, 11(8s), 483–489. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3078

Issue

Vol. 11 No. 8s (2023): Advances on Machine Learning and Artificial Intelligence in Computer Technology

Section

Research Article

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