Enhancing healthcare using m-Care box (Monitoring non-compliance of medication)

Bharadwaj, S. Aakash; Yarravarapu, Divyank; Reddy, Sadiparala Charan Kumar; Thirumalaraju, Prudhvi; Sandeep, Kanumalli Satya; Reddy, Obulam Siva Dheeraj

doi:10.1109/i-smac.2017.8058370

Cited by 12 publications

(3 citation statements)

References 10 publications

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“…Thus, in the context of IoT development in healthcare, active research is focusing on tracking patient's compliance to medication, as well as reducing the time a patient has to come to a hospital to take a prescription. An innovative medicine box to manage adherence to medication was demonstrated [122]. The system contained several sensors such as a glucometer, blood pressure, body temperature, and ECG connected to a Raspberry Pi 3 controller.…”

Section: Medication Adherencementioning

confidence: 99%

A Survey on Internet of Things and Cloud Computing for Healthcare

et al. 2019

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The fast development of the Internet of Things (IoT) technology in recent years has supported connections of numerous smart things along with sensors and established seamless data exchange between them, so it leads to a stringy requirement for data analysis and data storage platform such as cloud computing and fog computing. Healthcare is one of the application domains in IoT that draws enormous interest from industry, the research community, and the public sector. The development of IoT and cloud computing is improving patient safety, staff satisfaction, and operational efficiency in the medical industry. This survey is conducted to analyze the latest IoT components, applications, and market trends of IoT in healthcare, as well as study current development in IoT and cloud computing-based healthcare applications since 2015. We also consider how promising technologies such as cloud computing, ambient assisted living, big data, and wearables are being applied in the healthcare industry and discover various IoT, e-health regulations and policies worldwide to determine how they assist the sustainable development of IoT and cloud computing in the healthcare industry. Moreover, an in-depth review of IoT privacy and security issues, including potential threats, attack types, and security setups from a healthcare viewpoint is conducted. Finally, this paper analyzes previous well-known security models to deal with security risks and provides trends, highlighted opportunities, and challenges for the IoT-based healthcare future development.

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Section: Medication Adherencementioning

confidence: 99%

A Survey on Internet of Things and Cloud Computing for Healthcare

et al. 2019

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“…Many types of research are continuing by monitoring the patient submission to medication through the IoT [ 62 , 63 , 64 , 65 ]. This [ 66 ] paper developed a method that reminds the patient about their medication and measures blood pressure, sugar level, ECG, and temperature. The information is stored on the cloud or dedicated server for the concerned physicians and the medical care unit as a patient’s history.…”

Section: Applications Of the Iot Healthcare System During Covid-19mentioning

confidence: 99%

Application and Challenges of IoT Healthcare System in COVID-19

Al‐Atawi

Khan

Kim

2022

Sensors

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The importance of the IoT is increasing in every field of life, and it especially has a significant role in improving the efficiency of the healthcare system. Its demand further increased during COVID-19 to facilitate the patient remotely from their home digitally. Every time the COVID-19 patient visited the doctor for minor complications, it increased the risk of spreading the virus and the cost for the patient. Another alarming situation arose when a patient was in a critical position and may not claim an emergency service from the nearby healthcare system, increasing the death rate. The IoT uses healthcare services to properly monitor COVID-19 patients by using the interconnected network to overcome these issues. Through the IoT, the patient is facilitated by the health care system without spreading the virus, decreasing the death ratio during COVID-19. This paper aims to discuss different applications, technologies, and challenges of the IoT healthcare system, related to COVID-19. Different databases were searched using keywords in PubMed, ResearchGate, Scopus, ACM, Springer, Elsevier, Google Scholar, etc. This paper is trying to discuss, identify, and highlight the useful applications of the IoT healthcare system to provide guidelines to the researchers, healthcare institutions, and scientists to overcomes the hazards of COVID-19 pandemics. Hence, IoT is beneficial by identifying the symptoms of COVID-19 patients and by providing better treatments that use the healthcare system efficiently. At the end of the paper, challenges and future work are discussed, along with useful suggestions through which scientists can benefit from the IoT healthcare system during COVID-19 and in a severe pandemic. The survey paper is not limited to the healthcare system and COVID-19, but it can be beneficial for future pandemics or in a worse situation.

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“…c. Empirical: The posteriori empirical knowledge type is formulated from quantitative and qualitative observations of experimental measurements occurring over a period of time. For example, the knowledge of a person's normal blood pressure range, based on the person's age and weight, is used for generating health care alerts and advisories, ensuring medication compliance (Bharadwaj et al, 2017), and others (Mezghani, Exposito, & Drira, 2017). Other domains constituting the use of this knowledge type include wearable health monitoring (Ravì, Wong, Lo, & Yang, 2017), machine/plant process monitoring (Shinde & Bhagat, 2017), agricultural water requirement analysis and monitoring (Indira, Harshita, Shree Pranav, & Sai, 2018), and forest ecosystem monitoring (Bayne, Damesin, & Evans, 2017).…”

Section: Motivationmentioning

confidence: 99%

Knowledge discovery for enabling smart Internet of Things: A survey

Misra¹,

Mukherjee²,

Roy

2018

WIREs Data Min & Knowl

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The use of knowledge discovery on the Internet of Things (IoT) and its allied domains is undeniably one of the most indispensable ones, which results in optimized placement architectures, efficient routing protocols, device energy savings, and enhanced security measures for the implementation. The absence of knowledge discovery in IoT results in just an implementation of large‐scale sensor networks, which generates a huge amount of data, and which needs, an often under‐optimized, processing for actionable outputs. In this survey, we explore various domains of IoT for which knowledge discovery is inseparable from the application, and show how it benefits the overall implementation of the IoT architecture. This article is categorized under: Fundamental Concepts of Data and Knowledge > Knowledge Representation Technologies > Machine Learning Application Areas > Internet and Web‐Based Applications Algorithmic Development > Spatial and Temporal Data Mining

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Enhancing healthcare using m-Care box (Monitoring non-compliance of medication)

Cited by 12 publications

References 10 publications

A Survey on Internet of Things and Cloud Computing for Healthcare

A Survey on Internet of Things and Cloud Computing for Healthcare

Application and Challenges of IoT Healthcare System in COVID-19

Knowledge discovery for enabling smart Internet of Things: A survey

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