scholarly journals Addressing the Role of Smart Robotic Health Assistants Within the Human-Machine Frontier of Geriatric Healthcare

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 409-410
Author(s):  
Nadia Firdausya ◽  
Alex Bishop ◽  
Barbara Carlson ◽  
Weihua Sheng

Abstract Data for this study was acquired from three separate stakeholder focus group sessions involving nurse case managers (n = 5), social agency caseworkers (n = 5), and rural outreach providers (n = 5). Participants across all groups were asked to address the question: “When it comes to your work, what would you want a smart robot assistant to do for you?” Data from the three sessions were combined, transcribed verbatim, coded, and analyzed for thematic content. Three shared themes emerged, including health monitoring, behavioral intervention, and healthcare literacy. Relative to health monitoring, participants desired a robot that possessed functions in the form of “taking vital signs,” and “tracking water and food intake.” There was also a thematic agreement regarding behavioral intervention capabilities. Most notably, advisory stakeholders acknowledged a need for a smart robotic assistant to provide geriatric care recipients with “an alert or reminder to take medication.” This was viewed as an essential intervention for improving medication adherence. Healthcare literacy emerged as a final theme among advisory groups. In particular, participants noted that a smart robot should assist with bi-directional communication and translation of health care information and instructions as a way to “minimize impediments of care due to language barriers.” Findings will be further used to highlight how future integration of robotic health assistants represents a viable solution in helping geriatric healthcare workers work effectively alongside machines to meet the diverse care needs of older adults in both urban and rural settings.

Author(s):  
Sowmya G

Abstract: The increased use of smart phones and smart devices in the health zone has brought on extraordinary effect on the world’s critical care. The Internet of things is progressively permitting to coordinate sensors fit for associating with the Internet and give data on the health condition of patients. These technologies create an amazing change in medicinal services during pandemics. Likewise, many users are beneficiaries of the M-Health (Mobile Health) applications and E-Health (social insurance upheld by ICT) to enhance, help and assist continuously to specialists who help. The main aim of this ‘IOT Health Monitoring System’ is to build up a system fit for observing vital body signs such as body temperature, heart rate, pulse oximetry etc. The System is additionally equipped measuring Room Temperature and Humidity and Atmosphere CO level. To accomplish this, the system involves many sensors to display vital signs that can be interfaced to the doctor’s smart phone as well as caretakers’ smartphone. This prototype will upload the readings from the sensor to a server remotely and the information gathered will be accessible for analysis progressively. It has the capacity of reading and transmitting vital parameters measured to the cloud server and then to any Smartphone configured with Blynk App. These readings can be utilized to recognize the health state of the patient and necessary actions can be taken if the vital parameters are not in prescribed limits for a longer period. Keywords: IOT Health Monitoring System, Vital parameters, Blynk App


2021 ◽  
Vol 110 ◽  
pp. 05001
Author(s):  
Nataliya Apatova ◽  
Oleg Korolyov ◽  
Sergey Ivanov

Personal health monitoring is especially necessary in a pandemic of COVID19 and based on objective and subjective data. Modern medicine uses numerous diagnostic devices, many of which are for personal health monitoring. Applications for mobile phones are becoming more widespread, they make a possibility constantly monitor vital signs for a person. However, the consolidation into a single personalized database of information on daily mobile monitoring and examination results from various doctors in various medical organizations not yet carried out. Proposed to build a blockchain from this data and results of data analysis add subjective sensations and indicators to it, which clarified during the conversation with the doctor and not always fully and correctly transmitted by the patient. Using an integrated approach to personal health monitoring, building a blockchain from official data and personal objective and subjective indicators makes it possible to identify at the early stages of the disease, to have a complete and reliable picture of the state of health.


2020 ◽  
Vol 12 (2) ◽  
pp. 102-118
Author(s):  
Alexandre dos Santos Gonsalves ◽  
Robson Augusto Siscoutto

The health monitoring system has become indispensable in the treatment of patients, especially for those who have chronic illnesses and need real-time observation from doctors and specialists. This article presents a low-cost wireless solution for monitoring, in real time, vital signs such as cardiac beats, breathing and blood pressure, collecting and sending data to a remote computer. During development, a wireless sensor box was created, using Arduino Nano and bluetooh sensors, where this box is attached to the patient's body, respecting the patient's flexibility and mobility during physical exercises. During the monitoring, the captured data is transmitted via the bluetooh network. The box uses a battery for its food. After the evaluation, the solution obtained a performance and correctness of the data close to 100%, being considered fit for use. Several experiments were carried out to analyze, quantify and qualify the solution, being discussed and presented in this paper.


2021 ◽  
Author(s):  
Winston R. Liaw ◽  
John M Westfall ◽  
Tyler S Williamson ◽  
Yalda Jabbarpour ◽  
Andrew Bazemore

UNSTRUCTURED With conversational agents triaging symptoms, cameras aiding diagnoses, and remote sensors monitoring vital signs, the use of artificial intelligence (AI) outside of hospitals has the potential to improve health, according to a recently released report from the National Academy of Medicine. Despite this promise, AI’s success is not guaranteed, and stakeholders need to be involved with its development to ensure that the resulting tools can be easily used by clinicians, protect patient privacy, and enhance the value of the care delivered. A crucial stakeholder group missing from the conversation is primary care. As the nation’s largest delivery platform, primary care will have a powerful impact on whether AI is adopted and subsequently exacerbates health disparities. To leverage these benefits, primary care needs to serve as a medical home for AI, broaden its teams and training, and build on government initiatives and funding.


2004 ◽  
Vol 5 (2) ◽  
pp. 73-86 ◽  
Author(s):  
Carol L. McWilliam ◽  
Moira Stewart ◽  
Evelyn Vingilis ◽  
Jeffrey Hoch ◽  
Catherine Ward-Griffin ◽  
...  

Changes in health services and care needs have created high demand for case management of in-home services. To address this challenge, several models of case management have been used. Evaluations to date suggest that clients need different approaches for different circumstances at different times to optimize cost-effectiveness. Accordingly, one Canadian home care program adopted flexible client-driven case management, engaging clients as partners in flexibly selecting either an integrated team, consumer-managed or brokerage model of case management in keeping with their preferences and abilities. Using an exploratory, multimeasure quasi-experimental design, a generic model of program evaluation, and both quantitative and qualitative methods, researchers identified challenges in implementing this intervention, policy impediments the clients characteristically in each of the three case management models, and client, provider, and caregiver outcomes of flexible, client-driven care. While further longitudinal investigation is needed, findings suggest several important considerations for those interested in this option for care management. Alternative case management models do attract different client groups, and having a choice does not alter care costs or outcomes. Flexible client-driven case management may be experienced positively by case managers and other providers.


2011 ◽  
Vol 217-218 ◽  
pp. 1075-1080
Author(s):  
Yun Dong Xuan ◽  
Zhan Zhao ◽  
Zhen Fang ◽  
Dao Qu Geng ◽  
Yao Hong Shi

The development of Micro-ElectroMechanical Systems ,integrated circuits, wireless communications have resulted in the creation of miniature, ultra-low power, and wearable health monitoring system. The system can be defined as a Body Sensor Network that can be embedded in the user’s outfit as a part of the clothing .This 3ACare system is a wearable health monitoring and alert system which can give anyone health care at anytime and anywhere. The system continuously collects multiple vital signs by physiological sensors and evaluates the signs in a personal server such as a PDA. And the personal server transfers the data to a medical server center by 3G net or Internet. The doctor in the medical server center will give the patients message after they diagnosed the data.The paper describes the architecture of 3ACare and the details of the wireless body sensor network (WBSN) nodes and the test result.


Author(s):  
Ajay Singh ◽  
Vincent Koomson ◽  
Jaewook Yu ◽  
Goldie Nejat

The objective of our work is to develop a novel self-powered multi-modal wireless health monitoring sensory system architecture consisting of: (i) wearable devices to continuously monitor the vital signs of a person, and (ii) environmental sensory devices which can monitor the environment and also act as multi-hop routers providing data paths from the wearable devices to a main processing unit. Together these devices can provide effective remote health monitoring of a person and also inform the person of important information. In this paper, we address the significant issue of energy depletion for the devices, which can lead to critical interruptions in monitoring, by proposing a flexible unique vibration-based energy harvesting scheme to support our architecture. This active energy harvesting scheme will allow for continuous remote monitoring of the person and his/her environment in various situations. Experimental results demonstrate the potential utilization of electromagnetic and piezoelectric vibration-based harvesting techniques for the proposed application.


Author(s):  
Prasenjit Maiti ◽  
Sourav Kanti Addya ◽  
Bibhudatta Sahoo ◽  
Ashok Kumar Turuk

Healthcare expenses are a growing concern in most countries. This has forced medical researchers to look for trusted and ambulatory health monitoring of patient's vital signs. The objective is to reduce patient visits and the use of medical and support staff for frequent examinations. Wireless Body Area Networks (WBAN) consist of implanted, or worn, tiny health monitoring sensor nodes so that the vital body parameters and the movements of the patient can be recorded and communicated to the medical facilities for processing, diagnosis and prescription. WBAN is required to have small form and low power consumption. Reducing energy consumption of the sensor and communication equipment is one of the key research areas. It is also important for WBAN be secure, protected and reliable. Failure to acquire authentic and correct medical data may prevent a patient from being treated effectively, or even lead to wrong treatments. As patient identity can be obtained by correlating physiological information, privacy concerns must be addressed for wide acceptance of the technology. While security is paramount, the cost of implementing security techniques in WBAN may be prohibitive. It, therefore, becomes necessary to find cryptographic solutions that consume less energy. Research efforts are being made to reduce the cost of cryptography used in WBAN. In this paper authors discuss the current and future security solutions for low energy WBAN.


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