Implementation of the IoT-Based Technology on Patient Medication Adherence: A Comprehensive Bibliometric and Systematic Review

Authors

  • Muhammad Thesa Ghozali School of Pharmacy, Faculty of Medicine and Health Sciences, Universitas Muhammadiyah Yogyakarta, Indonesia

DOI:

https://doi.org/10.32890/jict2023.22.4.1

Keywords:

internet of things, IoT, patient medication adherence, PMA, sensors, pharmaceutical care services, patient outcomes

Abstract

The dynamic field of the Internet of Things (IoT) is constantly increasing, providing a plethora of potential integration across various sectors, most notably healthcare. The IoT represents a significant technological leap in healthcare management systems, coinciding with the rising preference for personalized, proactive, cost-effective treatment techniques. This review aimed to thoroughly assess the existing literature through a systematic review and bibliometric analysis, identifying untapped research routes and possible domains for further exploration. The overarching goal was to provide healthcare professionals with significant insights into the impact of IoT technology on Patient Medication Adherence (PMA) and related outcomes. An extensive review of 314 scientific articles on the deployment of IoT within pharmaceutical care services revealed a rising trend in publication volume, with a significant increase in recent years. Pertinently, from the 33 publications finally selected, substantial data support the potential of the IoT to improve PMA, particularly among senior patients with chronic conditions. This paper also comments on various regularly implemented IoT-based systems, noting their unique benefits and limitations. In conclusion, the critical relevance of PMA is highlighted, arguing for its emphasis in future discussions. Furthermore, the need for additional research endeavors is proposed to face and overcome existing constraints and establish the long-term effectiveness of IoT technologies in maximizing patient outcomes.

References

Adetunji, R. O., Strydom, M. A., Herselman, M. E., & Botha, A. (2022). Augmented reality technology: A systematic review on gaming strategy for medication adherence. In M. Al-Emran & K. Shaalan (Eds.), Recent innovations in artificial intelligence and smart applications (Vol. 1061, pp. 47–66). Springer International Publishing. https://doi.org/10.1007/978-3-031-14748-7_3

Aguilar-Rivera, M., Erudaitius, D. T., Wu, V. M., Tantiongloc, J. C., Kang, D. Y., Coleman, T. P., Baxter, S. L., & Weinreb, R. N. (2020). Smart electronic eyedrop bottle for unobtrusive monitoring of glaucoma medication adherence. Sensors (Basel, Switzerland), 20(9), 2570. https://doi.org/10.3390/s20092570

Ahmadi, V., Benjelloun, S., El Kik, M., Sharma, T., Chi, H., & Zhou, W. (2020). Drug governance: IoT-based blockchain implementation in the pharmaceutical supply chain. 2020 Sixth International Conference on Mobile and Secure Services (MobiSecServ), 1–8. https://doi.org/10.1109/MobiSecServ48690.2020.9042950

Akash, N. S., Rouf, S., Jahan, S., Chowdhury, A., & Uddin, J. (2022). Botnet detection in IoT devices using random forest classifier with independent component analysis. Journal of Information and Communication Technology, 21(2), Article 2. https://doi.org/10.32890/jict2022.21.2.3

Albahri, A. S., Alwan, J. K., Taha, Z. K., Ismail, S. F., Hamid, R. A., Zaidan, A. A., Albahri, O. S., Zaidan, B. B., Alamoodi, A. H., & Alsalem, M. A. (2021). IoT-based telemedicine for disease prevention and health promotion: State-of-the-art. Journal of Network and Computer Applications, 173, 102873. https://doi.org/10.1016/j.jnca.2020.102873

Aldeer, M., Javanmard, M., & Martin, R. (2018). A review of medication adherence monitoring technologies. Applied System Innovation, 1(2), 14. https://doi.org/10.3390/asi1020014

Aldeer, M., Javanmard, M., Ortiz, J., & Martin, R. (2022). Monitoring technologies for quantifying medication adherence. In K. Wac & S. Wulfovich (Eds.), Quantifying quality of life (pp. 49–78). Springer International Publishing. https://doi.org/10.1007/978-3-030-94212-0_3

Aldeer, M., Martin, R. P., & Howard, R. E. (2018). PillSense: Designing a medication adherence monitoring system using pill bottle-mounted wireless sensors. 2018 IEEE International Conference on Communications Workshops (ICC Workshops), 1–6. https://doi.org/10.1109/ICCW.2018.8403547 Journal of ICT, 22, No. 4 (Oct) 2023, pp: 503-

Ashton, K. (2009). That ‘internet of things’ thing. RFID Journal, 22(7), 97–114.

Awotunde, J. B., Folorunso, S. O., Bhoi, A. K., Adebayo, P. O., & Ijaz, M. F. (2021). Disease diagnosis system for IoT-based wearable body sensors with machine learning algorithm. Hybrid Artificial Intelligence and IoT in Healthcare, 201–222.

Bader, D., Innab, N., Atoum, I., & Alathamneh, F. (2023). The influence of the Internet of Things on pharmaceutical inventory management. International Journal of Data and Network Science, 7(1), 381–390.

Behl, D., Naved, T., Kalonia, H., & Babbar, M. (2022). Development of smart metered-dose inhalers for self medication purposes (Drug-Device-Software). Journal of Pharmaceutical Negative Results, 2826–2841. https://doi.org/10.47750/pnr.2022.13. S06.363

Bharadwaj, S. A., Yarravarapu, D., Reddy, S. C. K., Prudhvi, T., Sandeep, K. S. P., & Reddy, O. S. D. (2017). Enhancing healthcare using m-care box (monitoring non-compliance of medication). 2017 International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), 167–171. https://doi.org/10.1109/ICIMIA.2017.7975594

Boonnuddar, N., & Wuttidittachotti, P. (2017). Mobile application: Patients’ adherence to medicine in-take schedules. Proceedings of the International Conference on Big Data and Internet of Thing, 237–241. https://doi.org/10.1145/3175684.3175714

Bourque, G., Ilin, J. V., Ruzicka, M., Hundemer, G. L., Shorr, R., & Hiremath, S. (2023). Nonadherence is common in patients with apparent resistant hypertension: A systematic review and meta-analysis. American Journal of Hypertension, 36(7) 394–403. https://doi.org/10.1093/ajh/hpad013

Challa, R., Yamparala, R., Kanumalli, S. S., & Kumar, K. S. (2020). Advanced patient’s medication monitoring system with Ardunio UNO and NODEMCU. 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), 942–945. https://doi.org/10.1109/ ICECA49313.2020.9297420

Chamola, V., Hassija, V., Gupta, V., & Guizani, M. (2020). A comprehensive review of the COVID-19 pandemic and the role of IoT, Drones, AI, blockchain, and 5G in managing its impact. IEEE Access, 8, 90225–90265. https://doi.org/10.1109/ ACCESS.2020.2992341 Journal of ICT, 22, No. 4 (Oct) 2023, pp: 503-

Chavez, E., Sifuentes, B., Vidal, R., Grados, J., Rubiños, S., & Cuzcano, A. (2020). Remote monitoring applying IoT to improve control of medication adherence in geriatric patients with a complex treatment regimen, Lima-Peru. Proceedings of the 2020 3rd International Conference on Electronics and Electrical Engineering Technology, 49–54. https://doi.org/10.1145/3429536.3429543

Checchi, K. D., Huybrechts, K. F., Avorn, J., & Kesselheim, A. S. (2014). Electronic medication packaging devices and medication adherence: A systematic review. JAMA, 312(12), 1237. https://doi.org/10.1001/jama.2014.10059

Coughlin, J. F., D’Ambrosio, L. A., Reimer, B., & Pratt, M. R. (2007). Older adult perceptions of smart home technologies: Implications for research, policy & market innovations in healthcare. 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1810–1815. https://doi.org/10.1109/IEMBS.2007.4352665

Cramer, J. A. (2004). A systematic review of adherence with medications for diabetes. Diabetes Care, 27(5), 1218–1224. https://doi.org/10.2337/diacare.27.5.1218

Dayer, L., Heldenbrand, S., Anderson, P., Gubbins, P. O., & Martin, B. C. (2013). Smartphone medication adherence apps: Potential benefits to patients and providers. Journal of the American Pharmacists Association, 53(2), 172–181. https://doi.org/10.1331/JAPhA.2013.12202

Dwivedi, R., Mehrotra, D., & Chandra, S. (2022). Potential of Internet of Medical Things (IoMT) applications in building a smart healthcare system: A systematic review. Journal of Oral Biology and Craniofacial Research, 12(2), 302–318. https://doi.org/10.1016/j.jobcr.2021.11.010

Faisal, S., Ivo, J., & Patel, T. (2021). A review of features and characteristics of smart medication adherence products. Canadian Pharmacists Journal / Revue Des Pharmaciens Du Canada, 154(5), 312–323. https://doi.org/10.1177/17151635211034198

Fathillah, M. S., & Chellappan, K. (2022). Medication adherence manager and its clinical application. Journal of Physics: Conference Series, 2318(1), 012019. https://doi.org/10.1088/1742-6596/2318/1/012019

Fozoonmayeh, D., Le, H. V., Wittfoth, E., Geng, C., Ha, N., Wang, J., Vasilenko, M., Ahn, Y., & Woodbridge, D. M. (2020). A scalable smartwatch-based medication intake detection system using distributed machine learning. Journal of Medical Systems, 44(4), 76. https://doi.org/10.1007/s10916-019-1518-8 Journal of ICT, 22, No. 4 (Oct) 2023, pp: 503-

Ghozali, M. T. (2022). Mobile app for COVID-19 patient education – Development process using the analysis, design, development, implementation, and evaluation models. Nonlinear Engineering, 11(1), 549–557. https://doi.org/10.1515/nleng-2022-0241

Ghozali, M. T. (2023). Is integrating video into tech-based patient education effective for improving medication adherence? – A review. Paladyn, Journal of Behavioral Robotics, 14(1). https://doi.org/10.1515/pjbr-2022-0109

Gu, Y., Zalkikar, A., Kelly, L., Daly, K., & Ward, T. E. (2020). Predicting injectable medication adherence via a smart sharps bin and machine learning. 2020 IEEE 6th World Forum on Internet of Things (WF-IoT), 1–7. https://doi.org/10.1109/WF-IoT48130.2020.9221014

Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660.

Heintzman, N. D. (2016). A digital ecosystem of diabetes data and technology: Services, systems, and tools enabled by wearables, sensors, and apps. Journal of Diabetes Science and Technology, 10(1), 35–41. https://doi.org/10.1177/1932296815622453

Huang, C.-Y., Nguyen, P.-A. A., Clinciu, D. L., Hsu, C.-K., Lu, J.-C. R., Yang, H.-C., Wu, C.-C., Tsai, W.-C., Chou, Y.-C., & Kuo, T. B. (2017). A personalized medication management platform (PMMP) to improve medication adherence: A randomized control trial. Computer Methods and Programs in Biomedicine, 140, 275–281.

Ishak, S. A., Abidin, H. Z., & Muhamad, M. (2018). Improving medical adherence using smart medicine cabinet monitoring system. Indonesian Journal of Electrical Engineering and Computer Science, 9(1), Article 1. https://doi.org/10.11591/ ijeecs.v9.i1.pp164-169

Javaid, M., & Khan, I. H. (2021). Internet of Things (IoT) enabled healthcare helps to take the challenges of COVID-19 Pandemic. Journal of Oral Biology and Craniofacial Research, 11(2), 209–214. https://doi.org/10.1016/j.jobcr.2021.01.015

Jha, M., & Bhandari, A. K. (2021). Provoking medication adherence with automated IoT system. 2021 IEEE Region 10 Symposium (TENSYMP), 1–5. https://doi.org/10.1109/ TENSYMP52854.2021.9550893 Journal of ICT, 22, No. 4 (Oct) 2023, pp: 503-

Karagiannis, D., & Nikita, K. S. (2020). Design and development of a 3D Printed IoT portable pillbox for continuous medication adherence. 2020 IEEE International Conference on Smart Internet of Things (SmartIoT), 352–353. https://doi.org/10.1109/SmartIoT49966.2020.00066

Karagiannis, D., Mitsis, K., & Nikita, K. S. (2022). Development of a low-power IoMT portable pillbox for medication adherence improvement and remote treatment adjustment. Sensors, 22(15), Article 15. https://doi.org/10.3390/s22155818

Kashani, M. H., Madanipour, M., Nikravan, M., Asghari, P., & Mahdipour, E. (2021). A systematic review of IoT in healthcare: Applications, techniques, and trends. Journal of Network and Computer Applications, 192, 103164. https://doi.org/10.1016/j. jnca.2021.103164

Kelly, J. T., Campbell, K. L., Gong, E., & Scuffham, P. (2020). The Internet of Things: Impact and implications for health care delivery. Journal of Medical Internet Research, 22(11), e20135. https://doi.org/10.2196/20135

Khan, Z. U., Gang, Q., Muhammad, A., Muzzammil, M., Khan, S. U., Affendi, M. E., Ali, G., Ullah, I., & Khan, J. (2022). A comprehensive survey of energy-efficient MAC and routing protocols for underwater wireless sensor networks. Electronics, 11(19), 3015. https://doi.org/10.3390/electronics11193015

Kinthada, M. R., Bodda, S., & Mande, S. B. K. (2016). eMedicare: MHealth solution for patient medication guidance and assistance. 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), 657–661. https://doi.org/10.1109/SCOPES.2016.7955523

Kleinsinger, F. (2018). The unmet challenge of medication nonadherence. The Permanente Journal, 22(3), 18–033. https://doi.org/10.7812/TPP/18-033

Krishnamurthi, R., Kumar, A., Gopinathan, D., Nayyar, A., & Qureshi, B. (2020). An overview of IoT sensor data processing, fusion, and analysis techniques. Sensors, 20(21), 6076. https://doi.org/10.3390/s20216076

Kumar, M. P., & Rani. Nelakuditi, U. (2019). IoT and I2C protocol based M-health medication assistive system for elderly people. 2019 IEEE 16th India Council International Conference (INDICON), 1–4. https://doi.org/10.1109/INDICON47234.2019.9030322

Lam, W. Y., & Fresco, P. (2015). Medication adherence measures: An overview. BioMed Research International, 2015, 1–12. https://doi.org/10.1155/2015/217047 Journal of ICT, 22, No. 4 (Oct) 2023, pp: 503-

Linn, A. J., Vervloet, M., Van Dijk, L., Smit, E. G., & Van Weert, J. C. (2011). Effects of eHealth interventions on medication adherence: A systematic review of the literature. Journal of Medical Internet Research, 13(4), e103. https://doi.org/10.2196/jmir.1738

Lynn, T., Mooney, J. G., Lee, B., & Endo, P. T. (Eds.). (2020). The Cloud-to-Thing Continuum: Opportunities and Challenges in Cloud, Fog and Edge Computing. Springer International Publishing. https://doi.org/10.1007/978-3-030-41110-7

Ma, J., Ovalle, A., & Woodbridge, D. M.-K. (2018). Medhere: A smartwatch-based medication adherence monitoring system using machine learning and distributed computing. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2018, 4945–4948. https://doi.org/10.1109/EMBC.2018.8513169

Madakam, S., Lake, V., Lake, V., & Lake, V. (2015). Internet of Things (IoT): A literature review. Journal of Computer and Communications, 3(05), 164.

Meshram, V. V., Patil, K. R., Meshram, V. A., & Bhatlawande, S. (2022). SmartMedBox: A smart medicine box for visually impaired people using IoT and computer vision techniques. Revue d’Intelligence Artificielle, 36(5), 681–688. https://doi.org/10.18280/ria.360504

Mishra, S., Dash, A., & Mishra, B. K. (2020). An insight of Internet of Things applications in pharmaceutical domain. In Emergence of pharmaceutical industry growth with industrial IoT approach (pp. 245–273). Elsevier. https://doi.org/10.1016/B978-0-12-819593-2.00009-1

Mohamed, N. N., Yussoff, Y. M., Saleh, M. A., & Hashim, H. (2020). Hybrid cryptographic approach for Internet of Things applications: A review. Journal of Information and Communication Technology, 19(3), Article 3. https://doi.org/10.32890/jict2020.19.3.1

Mohammed, H. B. M., Ibrahim, D., & Cavus, N. (2018). Mobile device based smart medication reminder for older people with disabilities. Quality & Quantity, 52(S2), 1329–1342. https://doi.org/10.1007/s11135-018-0707-8

Moher, D., Shamseer, L., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., Shekelle, P., & Stewart, L. A. (2015). Preferred reporting items for systematic review and meta-analysis Journal of ICT, 22, No. 4 (Oct) 2023, pp: 503-protocols (PRISMA-P) 2015 statement. Systematic Reviews, 4(1), 1–9.

Moraru, S.-A., Moșoi, A. A., Kristaly, D. M., Moraru, I., Petre, V. Ștefan, Ungureanu, D. E., Perniu, L. M., Rosenberg, D., & Cocuz, M. E. (2022). Using IoT assistive technologies for older people non-invasive monitoring and living support in their homes. International Journal of Environmental Research and Public Health, 19(10), 5890.

Nasser, A. R., Hasan, A. M., Humaidi, A. J., Alkhayyat, A., Alzubaidi, L., Fadhel, M. A., Santamaría, J., & Duan, Y. (2021). IoT and cloud computing in health-care: A new wearable device and cloud-based deep learning algorithm for monitoring of diabetes. Electronics, 10(21), 2719. https://doi.org/10.3390/ electronics10212719

Nieuwlaat, R., Wilczynski, N., Navarro, T., Hobson, N., Jeffery, R., Keepanasseril, A., Agoritsas, T., Mistry, N., Iorio, A., & Jack, S. (2014). Interventions for enhancing medication adherence. Cochrane Database of Systematic Reviews, 11.

Nižetić, S., Šolić, P., González-De, D. L.-I., & Patrono, L. (2020). Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future. Journal of Cleaner Production, 274, 122877.

Nord, J. H., Koohang, A., & Paliszkiewicz, J. (2019). The Internet of Things: Review and theoretical framework. Expert Systems with Applications, 133, 97–108. https://doi.org/10.1016/j. eswa.2019.05.014

Orcioni, S., Pellegrini, R., Seepold, R., Gaiduk, M., Madrid, N. M., & Conti, M. (2021). Medication adherence supported by mHealth and NFC. Informatics in Medicine Unlocked, 23, 100552. https://doi.org/10.1016/j.imu.2021.100552

Otoom, M., Otoum, N., Alzubaidi, M. A., Etoom, Y., & Banihani, R. (2020). An IoT-based framework for early identification and monitoring of COVID-19 cases. Biomedical Signal Processing and Control, 62, 102149. https://doi.org/10.1016/j. bspc.2020.102149

Pang, Z., Tian, J., & Chen, Q. (2014). Intelligent packaging and intelligent medicine box for medication management towards the Internet-of-Things. 16th International Conference on Advanced Communication Technology, 352–360. https://doi.org/10.1109/ICACT.2014.6779193

Parra, J. M., Valdez, W., Guevara, A., Cedillo, P., & Ortíz-Segarra, J. (2017). Intelligent pillbox: Automatic and programmable Journal of ICT, 22, No. 4 (Oct) 2023, pp: 503-assistive technology device. 2017 13th IASTED International Conference on Biomedical Engineering (BioMed), 74–81. https://doi.org/10.2316/P.2017.852-051

Pawar, P., Park, C. K., Hwang, I., & Singh, M. (2021). Architecture of an IoT and blockchain based medication adherence management system. In M. Singh, D.-K. Kang, J.-H. Lee, U. S. Tiwary, D. Singh, & W.-Y. Chung (Eds.), Intelligent Human-Computer Interaction, 12616, 208–216. Springer International Publishing. https://doi.org/10.1007/978-3-030-68452-5_22

Payne, N., Gangwani, R., Barton, K., Sample, A. P., Cain, S. M., Burke, D. T., Newman-Casey, P. A., & Shorter, K. A. (2020). Medication adherence and liquid level tracking system for healthcare provider feedback. Sensors (Basel, Switzerland), 20(8), 2435. https://doi.org/10.3390/s20082435

Perković, T., Damjanović, S., Šolić, P., Patrono, L., & Rodrigues, J. J. P. C. (2020). Meeting challenges in IoT: Sensing, energy efficiency, and the implementation. In X.-S. Yang, S. Sherratt, N. Dey, & A. Joshi (Eds.), Fourth International Congress on Information and Communication Technology (Vol. 1041, pp. 419–430). Springer Singapore. https://doi.org/10.1007/978-981-15-0637-6_36

Petersen, K., Feldt, R., Mujtaba, S., & Mattsson, M. (2008). Systematic mapping studies in software engineering. 12th International Conference on Evaluation and Assessment in Software Engineering (EASE) 12, 1–10.

Poongodi, M., Nguyen, T. N., Hamdi, M., & Cengiz, K. (2023). Retracted article: A measurement approach using smart IoT-based architecture for detecting the COVID-19. Neural Processing Letters, 55(1), 877–877. https://doi.org/10.1007/ s11063-021-10602-x

Rane, D., Penchala, S., Jain, R., & Chourey, V. (2023). Roles and future of the Internet of Things-based smart health care models. Bio-Inspired Optimization in Fog and Edge Computing Environments, 223–248.

Rasool, R. U., Ahmad, H. F., Rafique, W., Qayyum, A., & Qadir, J. (2022). Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML. Journal of Network and Computer Applications, 201, 103332. https://doi.org/10.1016/j.jnca.2022.103332

Rejeb, A., Rejeb, K., Treiblmaier, H., Appolloni, A., Alghamdi, S., Alhasawi, Y., & Iranmanesh, M. (2023). The Internet of Journal of ICT, 22, No. 4 (Oct) 2023, pp: 503-Things (IoT) in healthcare: Taking stock and moving forward. Internet of Things, 22, 100721. https://doi.org/10.1016/j. iot.2023.100721

Roh, H., Shin, S., Han, J., & Lim, S. (2021). A deep learning-based medication behavior monitoring system. Mathematical Biosciences and Engineering: MBE, 18(2), 1513–1528. https://doi.org/10.3934/mbe.2021078

Roumaissa, B., & Rachid, B. (2022). An IoT-based pill management system for elderly. Informatica, 46(4), Article 4. https://doi.org/10.31449/inf.v46i4.4195

Sahu, D. K., Pradhan, B. K., Wilczynski, S., Anis, A., & Pal, K. (2023). Development of an Internet of Things (IoT)-based pill monitoring device for geriatric patients. In Advanced methods in biomedical signal processing and analysis (pp. 129–158). Elsevier. https://doi.org/10.1016/B978-0-323-85955-4.00012-

Serdaroglu, K., Uslu, G., & Baydere, S. (2015). Medication intake adherence with real time activity recognition on IoT. 2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 230–237. https://doi.org/10.1109/WiMOB.2015.7347966

Shahid, J., Ahmad, R., Kiani, A. K., Ahmad, T., Saeed, S., & Almuhaideb, A. M. (2022). Data protection and privacy of the Internet of Healthcare Things (IoHTs). Applied Sciences, 12(4), 1927. https://doi.org/10.3390/app12041927

Sharma, A., Kaur, J., & Singh, I. (2020). Internet of Things (IoT) in pharmaceutical manufacturing, warehousing, and supply chain management. SN Computer Science, 1, 1–10.

Sherif, S., Tan, W. H., Ooi, C. P., Sherif, A., & Mansor, S. (2020). LoRa driven medical adherence system. Bulletin of Electrical Engineering and Informatics, 9(6), Article 6. https://doi.org/10.11591/eei.v9i6.2195

Silpa, C., Suneetha, D. I., Hemantha, D. G. R., Arava, R. P. R., & Bhumika, Y. (2022). Medication Alarm: A proficient IoT-enabled medication alarm for age old people to the betterment of their medication practice. Journal of Pharmaceutical Negative Results, 13(4), 1041–1046. https://doi.org/10.47750/ pnr.2022.13.04.143

Silva, V. J., Rodrigues, M. A. S., Barreto, R., & Ferreira de Lucena, V. (2016). UbMed: A ubiquitous system for monitoring medication adherence. 2016 IEEE 18th International Conference on Journal of ICT, 22, No. 4 (Oct) 2023, pp: 503-E-Health Networking, Applications and Services (Healthcom), 1–4. https://doi.org/10.1109/HealthCom.2016.7749419

Singh, M., Sachan, S., Singh, A., & Singh, K. K. (2020). Internet of Things in pharma industry: Possibilities and challenges. In Emergence of pharmaceutical industry growth with industrial IoT approach (pp. 195–216). Elsevier. https://doi.org/10.1016/ B978-0-12-819593-2.00007-8

Singh, R. P., Javaid, M., Haleem, A., & Suman, R. (2020). Internet of Things (IoT) applications to fight against COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 521–524. https://doi.org/10.1016/j.dsx.2020.04.041

So, K. H., Ting, C. W., Lee, C. P., Lam, T. T.-N., Chiang, S. C., & Cheung, Y. T. (2021). Medication management service for old age homes in Hong Kong using information technology, automation technology, and the Internet of Things: Pre-Post Interventional Study. JMIR Medical Informatics, 9(2), e24280. https://doi.org/10.2196/24280

Sohn, S. Y., Bae, M., Lee, D. R., & Kim, H. (2015). Alarm system for elder patients medication with IoT-enabled pill bottle. 2015 International Conference on Information and Communication Technology Convergence (ICTC), 59–61. https://doi.org/10.1109/ICTC.2015.7354494

Srinivas, M., Durgaprasadarao, P., & Raj, V. N. P. (2018). Intelligent medicine box for medication management using IoT. 2018 2nd International Conference on Inventive Systems and Control (ICISC), 32–34. https://doi.org/10.1109/ICISC.2018.8399097

Stegemann, S., Baeyens, J.-P., Cerreta, F., Chanie, E., Löfgren, A., Maio, M., Schreier, G., & Thesing-Bleck, E. (2012). Adherence measurement systems and technology for medications in older patient populations. European Geriatric Medicine, 3(4), 254–260. https://doi.org/10.1016/j.eurger.2012.05.004

Steinkamp, J. M., Goldblatt, N., Borodovsky, J. T., LaVertu, A., Kronish, I. M., Marsch, L. A., & Schuman-Olivier, Z. (2019). Technological interventions for medication adherence in adult mental health and substance use disorders: A systematic review. JMIR Mental Health, 6(3), e12493.

Tan, H.-X., Tan, H.-P., & Liang, H. (2018). Technology-enabled medication adherence for seniors living in the community: Experiences, lessons, and the road ahead. In J. Zhou & G. Salvendy (Eds.), Human aspects of IT for the aged population. Applications in health, assistance, and entertainment (Vol. Journal of ICT, 22, No. 4 (Oct) 2023, pp: 503-10927, pp. 127–141). Springer International Publishing. https://doi.org/10.1007/978-3-319-92037-5_11

Toh, X., Tan, H.-X., Liang, H., & Tan, H.-P. (2016). Elderly medication adherence monitoring with the Internet of Things. 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), 1–6. https://doi.org/10.1109/PERCOMW.2016.7457133

Unni, E., & Bae, S. (2022). Exploring a new theoretical model to explain the behavior of medication adherence. Pharmacy, 10(2), 43.

Vrijens, B., De Geest, S., Hughes, D. A., Przemyslaw, K., Demonceau, J., Ruppar, T., Dobbels, F., Fargher, E., Morrison, V., Lewek, P., Matyjaszczyk, M., Mshelia, C., Clyne, W., Aronson, J. K., Urquhart, J., & for the ABC Project Team. (2012). A new taxonomy for describing and defining adherence to medications: New taxonomy for adherence to medications. British Journal of Clinical Pharmacology, 73(5), 691–705. https://doi.org/10.1111/j.1365-2125.2012.04167.x

Yang, G., Xie, L., Mäntysalo, M., Zhou, X., Pang, Z., Xu, L. D., Kao-Walter, S., Chen, Q., & Zheng, L.-R. (2014). A health-IoT platform based on the integration of intelligent packaging, unobtrusive bio-sensor, and intelligent medicine box. IEEE Transactions on Industrial Informatics, 10(4), 2180–2191. https://doi.org/10.1109/TII.2014.2307795

Downloads

Published

25-10-2023

How to Cite

Ghozali, M. T. (2023). Implementation of the IoT-Based Technology on Patient Medication Adherence: A Comprehensive Bibliometric and Systematic Review. Journal of Information and Communication Technology, 22(4), 503-544. https://doi.org/10.32890/jict2023.22.4.1

Research impact

Harvested 2026-09-05
32 citations, from Scopus — the highest of the sources checked

Counts differ between services because each indexes a different body of literature. None of them is the whole picture.

Identifiers DOI 10.32890/jict2023.22.4.1 OpenAlex W4388263636 Scopus 85176096856

Most read articles by the same author(s)