A systematic review of emerging information technologies for sustainable data-centric health-care

Zahid, Arnob; Poulsen, Jennifer Kay; Sharma, Ravi; Wingreen, Stephen C.

doi:10.1016/j.ijmedinf.2021.104420

Cited by 28 publications

(22 citation statements)

References 69 publications

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“…Widespread deployment of SHMs is not expected until around 2025, although the COVID-19 pandemic has probably accelerated this timeline significantly. Vendor hardware exclusivity, problems with stake-holder interfaces, inadequate features, usability, scalability, interoperability, compatibility, unreasonable costs, and ineffective validation are among the identified limitations [1] . Cloud and fog computing provides scalability and availability in case of emergencies, in addition to storage and cost-effectiveness.…”

Section: Technical Challenges Smart Healthcare Monitoring Frameworkmentioning

confidence: 99%

“…1 . According to the authors [1] , monitoring, offering assistance, disease diagnosis, self-care and management, wellness, customized healthcare, and quantitative and/or qualitative facility improvement are among the current use-cases of emerging IT. New use-cases [3] are continuously emerging to handle the immediate need for inexpensive, accessible care.…”

Section: Introductionmentioning

confidence: 99%

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Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review

Motwani¹,

Shukla²,

Pawar³

2022

Artificial Intelligence in Medicine

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Section: Technical Challenges Smart Healthcare Monitoring Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review

Motwani¹,

Shukla²,

Pawar³

2022

Artificial Intelligence in Medicine

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“…Zahid et al performed intelligent human movement energy meter and nondrug intervention to exercise intervention as the core, in the process of intervention, to balance their diet movement management, performance management, and the individual quantitative management, using effective movement variable parameter monitoring energy integration objective data, safely and effectively guide the individual's movement. By comparing the changes of body weight, blood pressure, fasting blood glucose, and other indicators before and after exercise, it is proved that exercise is effective and feasible for rehabilitation [7].…”

Section: Related Workmentioning

confidence: 99%

Exercise and Rehabilitation of Chronically Ill Patients Assisted by Small Digital Bio-Pulse Sensors

Zhang

Wang

2022

Mathematical Problems in Engineering

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With the continuous increase of the ageing population, the number of patients with chronic diseases has increased dramatically. The limited medical resources and the strong demand for high-quality medical services are in stark contradiction. Active rehabilitation training is one of the most effective rehabilitation methods, but it is difficult to achieve through traditional medical equipment. In this paper, aiming at effective clinical rehabilitation, an in-depth study was carried out on the exercise intention recognition experiment of patients, hoping to provide an effective rehabilitation treatment method for the recovery of patients with lower extremity motor function injury. This paper introduces the detection principle of the photoelectric pulse sensor and the design scheme that is used in physical education. In the experiment, through the hardware connection, programming, and the development of the host computer software, the pulse signal of the human body can be presented stably on the computer. The monitoring of the pulse of the students can help the physical education teacher to understand the situation of the students and prevent accidents. In addition, we believe that the acquisition of students’ pulse signals in physical education to build a database is of great significance for research and tracking of students’ health status and the research results will certainly promote the development of pulse diagnosis. In order to make the lower extremity exoskeleton rehabilitation system that can be applied in clinical rehabilitation, according to the Brunnstrom staging of patients with central nervous system injury, the needs of patients in different stages in the rehabilitation process were analysed and active and passive lower extremity rehabilitation strategies were formulated. Aiming at the problem of real-time and accurate identification of human motion intention, and to alleviate the mechanism motion delay caused by the delay of mechanical and control systems in the human-machine integrated system, a differential sEMG real-time feature extraction algorithm is proposed. The results show that the sensor and monitoring system have excellent stability, and the auxiliary system can accurately reflect the changing trend of the human biological pulse, achieve the expected effect, and effectively assist in the monitoring of exercise data for patients with chronic diseases. After treatment, the joint range of motion and muscle strength basically returned to normal levels, and the patient was able to walk independently. Compared with traditional treatment methods, the recovery time is shorter, the recovery of muscle strength is more effective, and the medical staff is more relaxed.

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“…In this data‐driven era, these digital health initiatives are unable to sustain without addressing those burning challenges. To be successful, Bangladesh needs to explore the possibility of integrating emerging information technologies within the existing infrastructure to address the current and future data needs of digital health, a data‐centric, predictive (analytics‐based), scalable digital health system (Svensson, 2019; Zahid et al, 2021). Furthermore, to achieve sustainability, Bangladesh must develop a practical system design framework (Islam, 2020; Sorwar et al, 2016) for digital health initiatives, both to establish standard guiding principles and ensure effective regulatory monitoring.…”

Section: Introductionmentioning

confidence: 99%

Digital health services in Bangladesh—The need for a sustainable design framework

Zahid

Yadav

Mistry

2023

World Med & Health Policy

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Bangladesh received the United Nations Award for DigitalHealth Development in 2011. Inspired by the recognition, the country has launched several digital health initiatives over the last decade. However, despite achievements in expanding information and communication technologies, recent studies show that current digital health services are difficult to use, fail to meet user needs, are subject to threats in data privacy and security, lack a robust digital infrastructure, and do not benefit from a cohesive policy and regulatory environment. As the country currently deals with the post‐COVID‐19 consequences, it is high time for its healthcare policymakers to address these challenges and take the necessary actions to establish a people‐centered framework for digital health service design and operations. In this commentary, we proposed a design framework for digital health services that address these ongoing challenges in the digital health services of Bangladesh. We believe the proposed framework stands to help Bangladesh and other coutnries attain sustainability.

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A systematic review of emerging information technologies for sustainable data-centric health-care

Cited by 28 publications

References 69 publications

Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review

Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review

Exercise and Rehabilitation of Chronically Ill Patients Assisted by Small Digital Bio-Pulse Sensors

Digital health services in Bangladesh—The need for a sustainable design framework

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