Internet of things-assisted intelligent monitoring model to analyse the physical health condition

2021 ◽  
pp. 1-14
Author(s):  
Liang Zhuang ◽  
Awais Khan Jumani ◽  
Asma Sbeih

BACKGROUND: Nowadays, smart healthcare minimizes medical facilities costs, ease staff burden, achieve unified control of materials and records, and enhance patients’ medical experience. Smart healthcare treatments have critical barriers to improving patient outcomes, reducing the regulatory burden, and promoting the transition from volume to benefit. OBJECTIVE: In this paper, the Internet of Things-assisted Intelligent Monitoring Model (IoT-IMM) has been proposed to improve patient health and maintain health records. METHOD: The advanced IoT sensors can monitor patient health and insert into the patients’ bodies. Information collected can be analyzed, aggregated, and mined to predict diseases at an early stage. For that, an enhanced deep learning network using Bayes theorem (EDLN-BT) benefits to obtain and verify various patient health data in a specific aspect, making it easy to supervise the patient’s activities. RESULTS: The IoT-IMM-based EDLN-BT results show the smart health care monitoring has undergone substantial growth, improving patient satisfaction for the quality of the healthcare services offered in hospitals and many other healthcare facilities. It helps predict health diseases with increased accuracy, prediction rate with minimal residual error delay, and energy consumption.

2021 ◽  
pp. 1-15
Author(s):  
Xiaowei Tang ◽  
Fang Li ◽  
Tamizharasi G. Seetharam ◽  
C. Chandru Vignesh

BACKGROUND: Physical health monitoring may take several forms, from individual quality changes to complex health checks carried out by health staff. Present health issues are detected with monitoring, and potential health problems are expected. Wearable sensors provide users with ease in everyday tracking, although many issues must be addressed in such sensor systems. The devices take a long time to obtain the requisite detection and diagnostic expertise and produce false alarms. OBJECTIVE: In this paper, the Internet of Things-assisted Health Condition Monitoring system (IoT-HCMS) has been proposed to track and analyze the patient physical health condition. METHOD: The proposed IoT-HCMS utilizes the intelligent monitoring model to follow the patient physical health day by day activities and instantaneously generate the health records. The system will indeed support patients in tracking psychological signs to minimize risks to their well-being. RESULTS: The experimental results show that the IoT-HCMS improves accuracy in patient health monitoring and has less response time.


2021 ◽  
pp. 1-19
Author(s):  
Fen Li ◽  
Achyut Shankar ◽  
B. Santhosh Kumar

BACKGROUND: Internet of Things (IoT) technology provides a tremendous and structured solution to tackle service deliverance aspects of healthcare in terms of mobile health and remote patient tracking. In medicine observation applications, IoT and cloud computing serves as an assistant in the health sector and plays an incredibly significant role. Health professionals and technicians have built an excellent platform for people with various illnesses, leveraging principles of wearable technology, wireless channels, and other remote devices for low-cost healthcare monitoring. OBJECTIVE: This paper proposed the Fog-IoT-assisted multisensor intelligent monitoring model (FIoT-MIMM) for analyzing the patient’s physical health condition. METHOD: The proposed system uses a multisensor device for collecting biometric and medical observing data. The main point is to continually generate emergency alerts on mobile phones from the fog system to users. For the precautionary steps and suggestions for patients’ health, a fog layer’s temporal information is used. RESULTS: Experimental findings show that the proposed FIoT-MIMM model has less response time and high accuracy in determining a patient’s condition than other existing methods. Furthermore, decision making based on real-time healthcare information further improves the utility of the suggested model.


2021 ◽  
pp. 1-15
Author(s):  
Mengyao Cui ◽  
Seung-Soo Baek ◽  
Rubén González Crespo ◽  
R. Premalatha

BACKGROUND: Health monitoring is important for early disease diagnosis and will reduce the discomfort and treatment expenses, which is very relevant in terms of prevention. The early diagnosis and treatment of multiple conditions will improve solutions to the patient’s healthcare radically. A concept model for the real-time patient tracking system is the primary goal of the method. The Internet of things (IoT) has made health systems accessible for programs based on the value of patient health. OBJECTIVE: In this paper, the IoT-based cloud computing for patient health monitoring framework (IoT-CCPHM), has been proposed for effective monitoring of the patients. METHOD: The emerging connected sensors and IoT devices monitor and test the cardiac speed, oxygen saturation percentage, body temperature, and patient’s eye movement. The collected data are used in the cloud database to evaluate the patient’s health, and the effects of all measures are stored. The IoT-CCPHM maintains that the medical record is processed in the cloud servers. RESULTS: The experimental results show that patient health monitoring is a reliable way to improve health effectively.


2019 ◽  
Vol 7 (2) ◽  
pp. 21-40 ◽  
Author(s):  
Parthasarathy Panchatcharam ◽  
Vivekanandan S.

Wellbeing is fundament requirement. What's more, it is human appropriate to get quality health care. These days, India is confronting numerous medical problems in light of fewer assets. This survey article displays the idea of solving health issues by utilizing a recent innovation, the Internet of Things (IOT). The Internet of Things with their developing interdisciplinary applications has changed our lives. Smart health care being one such IoT application interfaces brilliant gadgets, machines, patients, specialists, and sensors to the web. At long last, the difficulties and prospects of the improvement of IoT-based medicinal service frameworks are talked about in detail. This review additionally summarizes the security and protection worries of IoT, administrations and application of IoT and smart healthcare services that have changed the customary medicinal services framework by making healthcare administration more proficient through their applications.


Author(s):  
C.R Srinivasan ◽  
Guru Charan ◽  
P Chenchu Sai Babu

<span>Smart and connected health care is of specific significance in the spectrum of applications enabled the Internet of Things (IoT). Networked sensors, either embedded inside our living system or worn on the body, enable to gather rich information regarding our physical and mental health. In specific, the accessibility of information at previously unimagined scales and spatial longitudes combined with the new generation of smart processing algorithms can expedite an advancement in the medical field, from the current post-facto diagnosis and treatment of reactive framework, to an early-stage proactive paradigm for disease prognosis combined with prevention and cure as well as overall administration of well-being rather than ailment. This paper sheds some light on the current methods accessible in the Internet of Things (IoT) domain for healthcare applications. The proposed objective is to design and create a healthcare system centered on Mobile-IoT by collecting patient information from different sensors and alerting both the guardian and the doctor by sending emails and SMS in a timely manner. It remotely monitors the physiological parameters of the patient and diagnoses the illnesses swiftly. </span>


Author(s):  
Samuel, Dagogo ◽  

Access to healthcare is complex and varies across countries, regions, communities and individuals. The study aimed to assess the socioeconomic effects on household access to Primary Healthcare (PHC) facilities in selected riverine communities in Rivers State, Nigeria. Objectives of the study are to characterise the socioeconomic condition of households in the study area; determine the spatial distribution of PHC facilities in the study area, identify the effects of the socioeconomic conditions of households to access to PHC facilities in the selected riverine communities in the study area, and suggest appropriate policy measures to improve households access to PHC facilities and services in the study area. The study employed Mixed Methods Research (MMR) approach and sequential explanatory research design for data collection and analyses. The study employed simple random and purposive sampling techniques. A total of 400 respondents (households) were interviewed including key informants (government agencies and professionals) and Geographic Information System (GIS) was used for map analysis to show spatial distribution of PHC facilities in the study area. However, 328 questionnaires were considered valid for analysis of data. The study revealed, most of the households’ occupations are fishing, artisan and petty trading characterising low socioeconomic status. The study found PHC facilities are not evenly spatially distributed in the study area which has made households to use various available transport modes to access the facilities since the area is separated by creeks, rivers and sea. This has made travel time, distance and cost economically unfavourable to households in term of accessibility since they are relatively poor economically. The study has suggested the following recommendations including improvement of the socioeconomic status of households through education and vocational training programmes that will provide better employment opportunities, government should provide Mobile Healthcare programmes and services through water vessels and ambulances to reach remoted communities, proper study should be carried out to ascertain the population and their characteristics before locating PHC facilities for optimum utilisation, Smart Healthcare Services (SHCS) should be provided through Tele-Healthcare facilities to overcome distance and time, and government should collaborate with non-governmental organisations (NGOs) and multinational to provide Mobile Healthcare services in riverine communities to reduce challenges of accessibility and cost on households.


Author(s):  
Nur Azaliah Abu Bakar ◽  
Wan Makhtariah Wan Ramli ◽  
Noor Hafizah Hassan

<p class="Abstract">The Internet of Things (IoT) has not been around for very long. However, since the notion of IoT introduced, most of IoT studies focused on a strategic level such as planning, architectures, standardization, and latest technologies, however, studies of risk management plan of IoT are still lacking.  IoT has been widely used to link existing medical resources and provide reliable, effective and smart healthcare services to elderly and patients with chronic illnesses.  However, a systematic process is missing when managing and anticipating the risk of IoT usage in healthcare.  For this purpose, this paper extensively explores various IoT technologies used in health care services and its security challenges. As a result, IoT Security Risk Model for Healthcare is introduced to cater a complete process of risk management based on ISO/IEC 27005:2018 standard.  It is believed that by having this model, it will emphasize on iterative IoT risk management process as it may increase the depth and detail of the assessment at each iteration.</p>


Author(s):  
M. Ennafiri ◽  
T. Mazri

Abstract. Healthcare is an important part of life. Sadly, the spread of Covid-19 has strained the majority of health systems and the demand for resources from hospital kits to doctors and nurses have become extremely high. However, the significant advancement in the computing sector have led to the emergence of Internet of Things (IoT) which has now become one of the most powerful information and communication technologies due to its capability to connects object such as medical kits, monitoring cameras, home appliances and so on… Capitalizing on the efficiency of data retrieval from smart objects in the health sector, it is clear that a solution is necessary and required to improve the health sector in the era of Covid-19 pandemic while continuing to provide a high-quality care to patients. In this paper, a real-time covid-19 monitoring system is introduced in a form of an IoT based bracelet that measures body temperature and blood oxygen level, which are essential factors for determining the patient’s condition and whether he needs a quick intervention to enter ICU room. The bracelet also has a GPS tracker to determine the patient’s commitment to quarantine and social distancing. Based on the study conducted with more than 50 medical stuff, the IoT based bracelet was identified as a promising tool that can help control the spread of the covid-19 virus, by providing a modern access to medical healthcare services anywhere and anytime which is useful for the patient and hospital management stuff.


2014 ◽  
Vol 155 (38) ◽  
pp. 1510-1516
Author(s):  
Tamás Heiner ◽  
Tímea Barzó

The number of medical malpractice lawsuits filed each year in Hungary has considerably increased since 1990. The judicial decisions and practices on determining and awarding wrongful damages recoverable for medical malpractices in the Hungarian civil law have been developing for decades. In the meantime, a new Hungarian Civil Code (Act V of 2013) has entered into force, which among others, necessitates the revaluation of assessment of damages recoverable for medical malpractices. There are two main areas where fundamental changes have been introduced, which may significantly affect the outcome of medical malpractice lawsuits in the future. In the early stage of medical malpractices it was unclear whether the courts had to consider either the contractual relationship between patients and healthcare providers (contractual liability) or general codal articles on damages arising from non-contractual liability/torts (delictual liability) in their judgement delivered in the cases. Both the theoretical and practical experience of the last ten years shows that healthcare services agreements are concluded between healthcare providers and patients with the aim and intention to provide appropriate professional healthcare services to patients, which meet patients’ interests and wishes. The medical service is violated if it fails to meet patients’ interests and wishes as well as the objectives of the agreement. Since the new legislation implies a stricter liability for damages in the case of breach of contract and stricter rules for exempting the party in breach from compensation obligations, the opportunities to exempt healthcare providers from these obligations have become limited compared to previous regulations. This modification, which was aimed at further integrating the established judicial practices into legislation, stipulates the application of the rules for liability for damages resulting from medical malpractice in non-contractual situations. This paper analyses dogmatic and practical problems related to this topic. Another important area of current analysis is the institution of injury fees, which replaced the reimbursement of non-pecuniary damages. The mere fact of infringement allows setting injury fees. Taking into consideration the current resources in staff and equipment available in healthcare, this regulation may promote claims for injury fees impartial. Consequently, courts will have to apply other criteria when judgment in ‘trivial cases’, which might not require legal assessment, is delivered. Orv. Hetil., 2014, 155(38), 1510–1516.


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