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

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

Perancangan Kotak Obat Pintar Untuk Lansia Berbasis Quality Function Deployment (QFD)

Pada umumnya lansia mulai mengalami penurunan kondisi fisik sehingga rentan terkena gangguan penyakit tertentu yang terjadi secara bersamaan sehingga harus mengkonsumsi obat-obatan tertentu secara rutin sesuai dengan jadwal dan dosis yang tepat. Namun masih terdapat beberapa lansia yang minum obat tidak rutin karena mulai melemahnya kemampuan kognitif (daya ingat) sehingga perlu dikembangkan sebuah penelitian tentang produk inovatif yang dilengkapi dengan teknologi khusus untuk membantu lansia dalam mengingat jadwal minum obat. Perancangan kotak obat pintar ini menggunakan metode Quality Function Deployment yaitu mengidentifikasi keinginan dan kebutuhan 32 orang lansia (voice of customer) saat minum obat melalui wawancara secara etnografis yang kemudian diterjemahkan ke dalam parameter teknis pada perancangan produk. Selanjutnya, prototype dibuat berdasarkan hasil rangking tertinggi nilai persentase (%) pada House of Quality yaitu kotak obat dibuat otomatis sehingga obat dapat keluar secara otomatis menggunakan mini servo, alarm untuk output informasi dalam bentuk suara kepada lansia sebagai pengingat jadwal minum obat, RFID (Radio Frequency Identification) yang dilengkapi dengan Proximity Integrated Circuit Card sebagai akses para lansia untuk mengambil obat, Arduino Mega 2560 sebagai kontroler sistem secara keseluruhan, dan dispenser air minum sebagai pelengkap tambahan saat minum obat. Selanjutnya, produk kotak obat pintar yang telah dirancang langsung diuji kepada 10 sampel lansia dan hasil evaluasi usability produk menunjukkan bahwa produk ini memenuhi aspek learnability memiliki kemudahan dalam memahami informasi suara sebagai penanda jadwal minum obat melalui alarm sebesar 90%, dan memorability yaitu pemahaman terhadap tahapan-tahapan dalam pengoperasian produk kotak obat pintar dengan mudah sebesar 80%. ========================================================================================================== Generally elderly person began to decline their physical conditions so that susceptible to certain diseases disorders occurring simultaneously so that they need to consume certain medicines routinely according to the time schedules and proper dosages. However, there are some elderly person who take medicines are not routine because it started weakening of cognitive ability so that we necessary to develop a study on innovative product equipped with new technology to help elderly person in remembering time schedule to take their medicines. Design of smart pillbox using Quality Function Deployment methods that is used to identify thirty two elderly person (based on voice of customer) while they taking medicines through ethnographic interviews then translated into technical parameters on product design. Furthermore, the prototype is made based on the results of ranking the highest percentage (%) in the House of Quality such as the medicines cabinet made automatically so that the medicine can pull out automatically by using the mini servo, alarm used to output information in the form of voices to the elderly people as schedule reminders to take medicine, RFID (Radio frequency Identification) equipped with a Proximity Integrated Circuit Card as the access of the elderly to take medicine, Arduino Mega 2560 as the overall system controller, and water dispenser as additional supplementary time to take medicines. Furthermore, the result of smart medicine will tested to ten elderly person and evaluated with usability metho. The product indicates that fulfill learnability aspect such as easy to understand sound information as reminder of medication schedule by 90% and memorability aspect such as understanding the steps of using product easily by 80%

Quantifying Quality of Life

Describes technological methods and tools for objective and quantitative assessment of QoL Appraises technology-enabled methods for incorporating QoL measurements in medicine Highlights the success factors for adoption and scaling of technology-enabled methods This open access book presents the rise of technology-enabled methods and tools for objective, quantitative assessment of Quality of Life (QoL), while following the WHOQOL model. It is an in-depth resource describing and examining state-of-the-art, minimally obtrusive, ubiquitous technologies. Highlighting the required factors for adoption and scaling of technology-enabled methods and tools for QoL assessment, it also describes how these technologies can be leveraged for behavior change, disease prevention, health management and long-term QoL enhancement in populations at large. Quantifying Quality of Life: Incorporating Daily Life into Medicine fills a gap in the field of QoL by providing assessment methods, techniques and tools. These assessments differ from the current methods that are now mostly infrequent, subjective, qualitative, memory-based, context-poor and sparse. Therefore, it is an ideal resource for physicians, physicians in training, software and hardware developers, computer scientists, data scientists, behavioural scientists, entrepreneurs, healthcare leaders and administrators who are seeking an up-to-date resource on this subject

Quantifying Quality of Life

Describes technological methods and tools for objective and quantitative assessment of QoL Appraises technology-enabled methods for incorporating QoL measurements in medicine Highlights the success factors for adoption and scaling of technology-enabled methods This open access book presents the rise of technology-enabled methods and tools for objective, quantitative assessment of Quality of Life (QoL), while following the WHOQOL model. It is an in-depth resource describing and examining state-of-the-art, minimally obtrusive, ubiquitous technologies. Highlighting the required factors for adoption and scaling of technology-enabled methods and tools for QoL assessment, it also describes how these technologies can be leveraged for behavior change, disease prevention, health management and long-term QoL enhancement in populations at large. Quantifying Quality of Life: Incorporating Daily Life into Medicine fills a gap in the field of QoL by providing assessment methods, techniques and tools. These assessments differ from the current methods that are now mostly infrequent, subjective, qualitative, memory-based, context-poor and sparse. Therefore, it is an ideal resource for physicians, physicians in training, software and hardware developers, computer scientists, data scientists, behavioural scientists, entrepreneurs, healthcare leaders and administrators who are seeking an up-to-date resource on this subject