A deep learning-based medication behavior monitoring system

Roh, Hyeji; Shin, Seulgi; Han, Jinseo; Lim, Sangsoon

doi:10.3934/mbe.2021078

Cited by 14 publications

(13 citation statements)

References 24 publications

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“…The devices identified within the category of Electronic Medication Management System (EMMS) vary in their functionalities, with reported advantages and limitations; however, all systems possess similar features that focus on aiding patients in their medication management and documenting their medication adherence patterns. Three novel EMMS devices that presented interesting functionality characteristics included the radio frequency identification (RFID)-based medication adherence intelligence system [ 44 , 67 ], ReX (DosentRx Ltd) [ 68 ], and the Medication Behavior Monitoring System (MBMS) [ 69 ]. The RFID-based medication adherence intelligence system (RMAIS) is composed of an RFID reader, scale, microcontroller, liquid crystal display panel, and a motorized rotation platform [ 44 , 67 ].…”

Section: Resultsmentioning

confidence: 99%

“…HCPs receive weekly adherence reports from the MBMS. Roh et al [ 69 ] found that when an MBMS device was used, medication adherence was higher than in patients who did not use the device. However, similar to RMAIS and ReX, the inability of the system to detect actual medication ingestion inhibits its potential accuracy in monitoring patient medication adherence.…”

Section: Resultsmentioning

confidence: 99%

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Technologies for Medication Adherence Monitoring and Technology Assessment Criteria: Narrative Review

Mason¹,

Cho²,

Rayo³

et al. 2022

JMIR Mhealth Uhealth

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Background Accurate measurement and monitoring of patient medication adherence is a global challenge because of the absence of gold standard methods for adherence measurement. Recent attention has been directed toward the adoption of technologies for medication adherence monitoring, as they provide the opportunity for continuous tracking of individual medication adherence behavior. However, current medication adherence monitoring technologies vary according to their technical features and data capture methods, leading to differences in their respective advantages and limitations. Overall, appropriate criteria to guide the assessment of medication adherence monitoring technologies for optimal adoption and use are lacking. Objective This study aims to provide a narrative review of current medication adherence monitoring technologies and propose a set of technology assessment criteria to support technology development and adoption. Methods A literature search was conducted on PubMed, Scopus, CINAHL, and ProQuest Technology Collection (2010-present) using the combination of keywords medication adherence, measurement technology, and monitoring technology. The selection focused on studies related to medication adherence monitoring technology and its development and use. The technological features, data capture methods, and potential advantages and limitations of the identified technology applications were extracted. Methods for using data for adherence monitoring were also identified. Common recurring elements were synthesized as potential technology assessment criteria. Results Of the 3865 articles retrieved, 98 (2.54%) were included in the final review, which reported a variety of technology applications for monitoring medication adherence, including electronic pill bottles or boxes, ingestible sensors, electronic medication management systems, blister pack technology, patient self-report technology, video-based technology, and motion sensor technology. Technical features varied by technology type, with common expectations for using these technologies to accurately monitor medication adherence and increase adoption in patients’ daily lives owing to their unobtrusiveness and convenience of use. Most technologies were able to provide real-time monitoring of medication-taking behaviors but relied on proxy measures of medication adherence. Successful implementation of these technologies in clinical settings has rarely been reported. In all, 28 technology assessment criteria were identified and organized into the following five categories: development information, technology features, adherence to data collection and management, feasibility and implementation, and acceptability and usability. Conclusions This narrative review summarizes the technical features, data capture methods, and various advantages and limitations of medication adherence monitoring technology reported in the literature and the proposed criteria for assessing medication adherence monitoring technologies. This collection of assessment criteria can be a useful tool to guide the development and selection of relevant technologies, facilitating the optimal adoption and effective use of technology to improve medication adherence outcomes. Future studies are needed to further validate the medication adherence monitoring technology assessment criteria and construct an appropriate technology assessment framework.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Technologies for Medication Adherence Monitoring and Technology Assessment Criteria: Narrative Review

Mason¹,

Cho²,

Rayo³

et al. 2022

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

show abstract

“…The radio frequency identification (RFID)-based medication adherence intelligence system is also available for monitoring medication adherence. 72 , 73 , 74 …”

Section: Resultsmentioning

confidence: 99%

Artificial intelligence in the field of pharmacy practice: A literature review

Chalasani,

Syed,

Ramesh

et al. 2023

Exploratory Research in Clinical and Social Pharmacy

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“…The device uses the MQTT protocol to send the information. Furthermore, information to assist in disease management, such as foods that may or may not be ingested, is performed through a monitor connected to the device (Roh et al, 2021). The second article in the IoT-based system context is not exactly for medication administration but is a device that predicts patient safety.…”

Section: Technologiesmentioning

confidence: 99%

Internet of Things as support to reduce hospital errors related to medication administration

Cocian¹,

Morales

Schneider

2023

RSD

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Objective: The high potential of digital technologies to reduce medication errors in patients hospitalized or under hospital care was explored in this investigation. The study identifies common types of medication errors and their probable causes. Furthermore, examines the technological innovation solutions available that have not yet been applied in this context, specifically the Internet of Things usage to reduce medication errors through a practical example. Methods: A rapid review was applied, exploring the papers from two databases. The analysis was limited to the period from 2017 to 2021, resulting in 147 articles from the VHL Regional Portal – Virtual Health Library and 257 articles from the PubMed database. Results: There were analyzed 40 studies. An error mapping related to the theme was made. Also, the technology application and their effectiveness were identified in the studies. According to the research, inattention or distraction due to the excessive journey of work was pointed out as the main reason that leads to medication errors with the systems employed. Conclusion: There are several opportunities to improve hospital procedures with new technological approaches. By implementing innovative technologies, hospital medication errors can be managed more efficiently and reduce costs and waste with errors medication.

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A deep learning-based medication behavior monitoring system

Cited by 14 publications

References 24 publications

Technologies for Medication Adherence Monitoring and Technology Assessment Criteria: Narrative Review

Technologies for Medication Adherence Monitoring and Technology Assessment Criteria: Narrative Review

Artificial intelligence in the field of pharmacy practice: A literature review

Internet of Things as support to reduce hospital errors related to medication administration

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