scholarly journals Internet of things issues related to psychiatry

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Scott Monteith ◽  
Tasha Glenn ◽  
John Geddes ◽  
Emanuel Severus ◽  
Peter C. Whybrow ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Cognitive Abilities ◽  
Healthcare Providers ◽  
Emotional Reactions ◽  
The Body ◽  
Psychiatric Research ◽  
Main Body ◽  
Personal Safety ◽  
Healthcare Organizations ◽  
Iot Devices

Abstract Background Internet of Things (IoT) devices for remote monitoring, diagnosis, and treatment are widely viewed as an important future direction for medicine, including for bipolar disorder and other mental illness. The number of smart, connected devices is expanding rapidly. IoT devices are being introduced in all aspects of everyday life, including devices in the home and wearables on the body. IoT devices are increasingly used in psychiatric research, and in the future may help to detect emotional reactions, mood states, stress, and cognitive abilities. This narrative review discusses some of the important fundamental issues related to the rapid growth of IoT devices. Main body Articles were searched between December 2019 and February 2020. Topics discussed include background on the growth of IoT, the security, safety and privacy issues related to IoT devices, and the new roles in the IoT economy for manufacturers, patients, and healthcare organizations. Conclusions The use of IoT devices will increase throughout psychiatry. The scale, complexity and passive nature of data collection with IoT devices presents unique challenges related to security, privacy and personal safety. While the IoT offers many potential benefits, there are risks associated with IoT devices, and from the connectivity between patients, healthcare providers, and device makers. Security, privacy and personal safety issues related to IoT devices are changing the roles of manufacturers, patients, physicians and healthcare IT organizations. Effective and safe use of IoT devices in psychiatry requires an understanding of these changes.

Abstract WP404: Stroke Cognitive Recovery Model

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Susan Alderman
Keyword(s):  
Cognitive Deficits ◽  
Cognitive Abilities ◽  
Belief Systems ◽  
Healthcare Providers ◽  
The Body ◽  
Patient Needs ◽  
Coordinated Care ◽  
Recovery Model ◽  
Cognitive Recovery ◽  
Transitional State

Background: After an acute stroke, 90% of patients have cognitive deficits; 50% remain impaired and 30% develop dementia within one year. Cognitive recovery may not occur without early and coordinated care. Many cognitive deficits, i.e. memory and neglect, are not addressed early, care is not coordinated, and depends on each institution’s guidelines. Nurses must consider all patient needs yet no holistic cognitive recovery model exists to guide them. Purpose: To create a holistic, post-stroke, patient-centered cognitive recovery model capable of guiding care. Methods: Concept synthesis is a new way of grouping or ordering information when relevant data is unclear or unknown. A concept synthesis was performed due to limitations in prior biomedical models, specifically in psychology and rehabilitation, which resulted in ill-defined terms and bias. Results: Cognitive recovery is defined as a transitional state in which a person’s cognitive abilities can be modified to approach pre-injury levels, by the interactions of personal capabilities and four encompassing Environments. Personal capabilities (acceptance, agency and congruence) are internally oriented forces which control self-care behavior. The Environments (resources or forces interacting to help/hinder recovery) are depicted as the Physical (the body), External (social support, therapists, etc.), Internal (psychiatric or emotional forces), and Created (belief systems, attitudes, etc.). Conclusions: When interactions between personal capabilities and Environments are adequate cognitive recovery will progress. Recovery should be comprehensive and nurses are uniquely qualified to ensure all aspects of the person are addressed. This model promotes collaboration among healthcare providers and guidance in identifying and addressing patient needs.

scholarly journals Efficient Mutual Authentication Protocol between Hospital Internet of Things Devices Using Probabilistic Attribute Information

2019 ◽  
Vol 11 (24) ◽  
pp. 7214
Author(s):  
Yoon-Su Jeong ◽  
Dong-Ryool Kim ◽  
Seung-Soo Shin
Keyword(s):  
Internet Of Things ◽  
Mutual Authentication ◽  
Healthcare Providers ◽  
Authentication Protocol ◽  
Medical Services ◽  
Medical Work ◽  
Color Vector ◽  
Vector Information ◽  
Iot Devices ◽  
Care Problems

Wearable and portable medical devices are one of the fastest growing sectors in the Internet of Things (IoT) market. However, medical services specialize in the processing of personal health data, which carries issues that are not faced by other industries. In this paper, we propose a multi-dimensional color vector information based IoT device authentication protocol that can provide benefits for medical work, assuming that a hospital has the capability of integrating IoT devices and has access to patient information. The proposed protocol uses multi-dimensional color vectors to help users who use IoT devices to manage their condition in multiple groups, stochastically. In addition, the proposed protocol provides the health and medical service status of users to medical staff in real time using IoT authentication keys generated through the proposed multi-dimensional color vectors. The proposed protocol not only addresses health care problems yet to be tackled in the management of hospital and health services, but also minimizes administrative time and procedures for current medical services. As a result of the performance evaluation, the proposed protocol improved the efficiency of hospital IoT devices by an average of 31.1%, and the time delay for medical services was improved by 19.8%, compared to the existing protocol. By using the proposed protocol and IoT devices, the average overhead of healthcare providers could be reduced by as much as 15.3%.

scholarly journals Prioritized Solutions for Overcoming Barriers When Implementing Lean in the Healthcare Supply Chain: A Saudi Perspective

Logistics ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 9
Author(s):  
Abdulaziz M. Almutairi ◽  
Mohammed Almanei ◽  
Ahmed Al-Ashaab ◽  
Konstantinos Salonitis
Keyword(s):  
Developing Countries ◽  
Supply Chain ◽  
Healthcare Providers ◽  
Hospital Setting ◽  
Developed Countries ◽  
The Body ◽  
Successful Implementation ◽  
Healthcare Organizations ◽  
Body Of Knowledge ◽  
Research Gap

The main purpose of this paper is to propose solutions for overcoming the obstacles that healthcare organizations might face when implementing lean. An in-depth review of existing barriers for lean implementation in healthcare supply chain is presented and validated by experts. Although there is a widespread use of lean concepts in developed countries, little attention has been paid to implementing a lean approach by healthcare providers in developing countries. The present study’s key novelty and contribution is related to this research gap. The study is thus focused in proposing solutions for healthcare organisations in developing countries, especially in Saudi Arabia. The efficacy of these solutions is assessed through experts’ opinion. The paper enhances the body of knowledge for the successful implementation of lean in a hospital setting.

Survey of Cloud Computing in Healthcare Sector

2017 ◽  
Vol 7 (7) ◽  
pp. 337
Author(s):  
S. Karthiga Devi ◽  
B. Arputhamary
Keyword(s):  
Cloud Computing ◽  
Healthcare Providers ◽  
High Volume ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
Cloud Infrastructure ◽  
Healthcare Organizations ◽  
Privacy And Security ◽  
Healthcare Data ◽  
Number Of Patients

Today the volume of healthcare data generated increased rapidly because of the number of patients in each hospital increasing.  These data are most important for decision making and delivering the best care for patients. Healthcare providers are now faced with collecting, managing, storing and securing huge amounts of sensitive protected health information. As a result, an increasing number of healthcare organizations are turning to cloud based services. Cloud computing offers a viable, secure alternative to premise based healthcare solutions. The infrastructure of Cloud is characterized by a high volume storage and a high throughput. The privacy and security are the two most important concerns in cloud-based healthcare services. Healthcare organization should have electronic medical records in order to use the cloud infrastructure. This paper surveys the challenges of cloud in healthcare and benefits of cloud techniques in health care industries.

Bringing Security to The Smallest Embedded Systems

2017 ◽  
Author(s):  
JOSEPH YIU
Keyword(s):  
Internet Of Things ◽  
Embedded Systems ◽  
Low Cost ◽  
Security Requirements ◽  
The Internet ◽  
Security Measures ◽  
Significant Challenge ◽  
Iot Devices

The increasing need for security in microcontrollers Security has long been a significant challenge in microcontroller applications(MCUs). Traditionally, many microcontroller systems did not have strong security measures against remote attacks as most of them are not connected to the Internet, and many microcontrollers are deemed to be cheap and simple. With the growth of IoT (Internet of Things), security in low cost microcontrollers moved toward the spotlight and the security requirements of these IoT devices are now just as critical as high-end systems due to:

Agricultural Application of Web of Things Architecture

Impact ◽  
2019 ◽  
Vol 2019 (10) ◽  
pp. 61-63 ◽  
Author(s):  
Akihiro Fujii
Keyword(s):  
Internet Of Things ◽  
Agricultural Sector ◽  
Electronic Device ◽  
Specific Work ◽  
Science And Engineering ◽  
Unique Identifier ◽  
Agricultural Application ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Type Pressure

The Internet of Things (IoT) is a term that describes a system of computing devices, digital machines, objects, animals or people that are interrelated. Each of the interrelated 'things' are given a unique identifier and the ability to transfer data over a network that does not require human-to-human or human-to-computer interaction. Examples of IoT in practice include a human with a heart monitor implant, an animal with a biochip transponder (an electronic device inserted under the skin that gives the animal a unique identification number) and a car that has built-in sensors which can alert the driver about any problems, such as when the type pressure is low. The concept of a network of devices was established as early as 1982, although the term 'Internet of Things' was almost certainly first coined by Kevin Ashton in 1999. Since then, IoT devices have become ubiquitous, certainly in some parts of the world. Although there have been significant developments in the technology associated with IoT, the concept is far from being fully realised. Indeed, the potential for the reach of IoT extends to areas which some would find surprising. Researchers at the Faculty of Science and Engineering, Hosei University in Japan, are exploring using IoT in the agricultural sector, with some specific work on the production of melons. For the advancement of IoT in agriculture, difficult and important issues are implementation of subtle activities into computers procedure. The researchers challenges are going on.

INCREASING ADOPTION OFSOCIAL MEDIA IN HEALTHCARE ORGANIZATIONS : OPPORTUNITIES AND CONCERNS

2016 ◽  
Vol 12 (1) ◽  
Author(s):  
Sharafat Hussain ◽  
Prof. Mohd. Abdul Azeem
Keyword(s):  
Health Care ◽  
Social Media ◽  
Social Networking ◽  
Health Care Organizations ◽  
Healthcare Providers ◽  
Healthcare Organizations ◽  
Online Questionnaire ◽  
Potential Benefits ◽  
Social Media Presence ◽  
Use Of Social Media

Adoption of social media amongst health care organizations is thriving. Healthcare providers have begun to connect with patients via social media. While some healthcare organizations have taken the initiative, numerous others are attempting to comprehend this new medium of opportunity. These organizations are finding that social networking can be an effective way to monitor brand, connecting with patients, community, and patient education and acquiring new talent. This study is conducted to identify the purpose of using social media, concerns, policy and its implementation and the overall experience of healthcare organizations with social media. To collect first hand data, online questionnaire was sent via LinkedIn to 400 US healthcare organizations and representatives out of which 117 responded and were taken further for analsysis. The results of this study confirm the thriving adoption, increased opportunities and cautious use of social media by healthcare organizations. The potential benefits present outweigh the risk and concerns associated with it. Study concluded that social media presence will continue to grow into the future and the field of healthcare is no exception.

scholarly journals SARS-CoV-2: is there neuroinvasion?

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Conor McQuaid ◽  
Molly Brady ◽  
Rashid Deane
Keyword(s):  
Respiratory Distress ◽  
Vascular Dysfunction ◽  
Multiorgan Failure ◽  
Neurological Complications ◽  
Wide Distribution ◽  
The Body ◽  
Health Conditions ◽  
Main Body ◽  
Beneficial Effects ◽  
The Brain

Abstract Background SARS-CoV-2, a coronavirus (CoV), is known to cause acute respiratory distress syndrome, and a number of non-respiratory complications, particularly in older male patients with prior health conditions, such as obesity, diabetes and hypertension. These prior health conditions are associated with vascular dysfunction, and the CoV disease 2019 (COVID-19) complications include multiorgan failure and neurological problems. While the main route of entry into the body is inhalation, this virus has been found in many tissues, including the choroid plexus and meningeal vessels, and in neurons and CSF. Main body We reviewed SARS-CoV-2/COVID-19, ACE2 distribution and beneficial effects, the CNS vascular barriers, possible mechanisms by which the virus enters the brain, outlined prior health conditions (obesity, hypertension and diabetes), neurological COVID-19 manifestation and the aging cerebrovascualture. The overall aim is to provide the general reader with a breadth of information on this type of virus and the wide distribution of its main receptor so as to better understand the significance of neurological complications, uniqueness of the brain, and the pre-existing medical conditions that affect brain. The main issue is that there is no sound evidence for large flux of SARS-CoV-2 into brain, at present, compared to its invasion of the inhalation pathways. Conclusions While SARS-CoV-2 is detected in brains from severely infected patients, it is unclear on how it gets there. There is no sound evidence of SARS-CoV-2 flux into brain to significantly contribute to the overall outcomes once the respiratory system is invaded by the virus. The consensus, based on the normal route of infection and presence of SARS-CoV-2 in severely infected patients, is that the olfactory mucosa is a possible route into brain. Studies are needed to demonstrate flux of SARS-CoV-2 into brain, and its replication in the parenchyma to demonstrate neuroinvasion. It is possible that the neurological manifestations of COVID-19 are a consequence of mainly cardio-respiratory distress and multiorgan failure. Understanding potential SARS-CoV-2 neuroinvasion pathways could help to better define the non-respiratory neurological manifestation of COVID-19.

scholarly journals Ovarian tissue freezing and activation after thawing: an update

2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Li-fan Peng
Keyword(s):  
Granulosa Cells ◽  
Clinical Decision Making ◽  
Ovarian Function ◽  
Ovarian Tissue ◽  
Clinical Decision ◽  
The Body ◽  
Endocrine Function ◽  
Ovarian Tissue Cryopreservation ◽  
Main Body ◽  
Tissue Cryopreservation

Abstract Background With the growth of women’s age, ovarian failure can be caused by various factors. For the women who need chemotherapy because of cancer factors, the preservation of fertility is more urgent. The treatment of cancer is also a process in which all tissues and organs of the body are severely damaged, especially in the reproductive system. Main body As a new fertility preservation technology, autologous ovarian tissue cryopreservation and transplantation is developing rapidly and showing great potentiality in preserving ovarian endocrine function of young cervical cancer patients. Vitrification and slow freezing are two common techniques applied for ovarian tissue cryopreservation. Thus, cryopreserved/thawed ovarian tissue and transplantation act as an important method to preserve ovarian function during radiotherapy and chemotherapy, and ovarian cryopreservation by vitrification is a very effective and extensively used method to cryopreserve ovaries. The morphology of oocytes and granulosa cells and the structure of organelles were observed under the microscope of histology; the hormone content in the stratified culture medium of granulosa cells with the diameter of follicle was used to evaluate the development potential of ovarian tissue, and finally the ovarian tissue stimulation was determined by the technique of ovarian tissue transplantation. Conclusions Although there are some limitations, the team members still carry out this review to provide some references and suggestions for clinical decision-making and further clinical research.

scholarly journals An efficient pruning scheme of deep neural networks for Internet of Things applications

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Chen Qi ◽  
Shibo Shen ◽  
Rongpeng Li ◽  
Zhifeng Zhao ◽  
Qing Liu ◽  
...  
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Internet Of Things ◽  
Deep Neural Networks ◽  
Computational Cost ◽  
Superior Performance ◽  
Compact Structure ◽  
Resource Limited ◽  
Benchmark Datasets ◽  
Iot Devices

AbstractNowadays, deep neural networks (DNNs) have been rapidly deployed to realize a number of functionalities like sensing, imaging, classification, recognition, etc. However, the computational-intensive requirement of DNNs makes it difficult to be applicable for resource-limited Internet of Things (IoT) devices. In this paper, we propose a novel pruning-based paradigm that aims to reduce the computational cost of DNNs, by uncovering a more compact structure and learning the effective weights therein, on the basis of not compromising the expressive capability of DNNs. In particular, our algorithm can achieve efficient end-to-end training that transfers a redundant neural network to a compact one with a specifically targeted compression rate directly. We comprehensively evaluate our approach on various representative benchmark datasets and compared with typical advanced convolutional neural network (CNN) architectures. The experimental results verify the superior performance and robust effectiveness of our scheme. For example, when pruning VGG on CIFAR-10, our proposed scheme is able to significantly reduce its FLOPs (floating-point operations) and number of parameters with a proportion of 76.2% and 94.1%, respectively, while still maintaining a satisfactory accuracy. To sum up, our scheme could facilitate the integration of DNNs into the common machine-learning-based IoT framework and establish distributed training of neural networks in both cloud and edge.

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