SatNav E@syCare Telemedicine Platform in the Management of Covid-19 Patients: Field Trial Results

Panicacci, Silvia; Ruiu, Alessio; Lubrano, Alberto; Donati, Massimiliano; Olivelli, Martina; Fanucci, Luca

doi:10.1109/percomworkshops53856.2022.9767425

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…Toward this aim, the ES will be coupled with a telemonitoring system that by using the ES's API, will provide patient data to be evaluated, and will be able to properly exploit the generated decisions. Such a system is a consolidated CE medical device that was already successfully employed in the COVID-19 pandemic [54] and features a web-based medical record and monitoring kits containing a tablet and several Bluetooth biomedical sensors. Through tablet notifications, patients will be supported in adhering to personalized care plans, while clinicians will be alerted when vital signs surpass predefined thresholds.…”

Section: Clinical Trialmentioning

confidence: 99%

Enhancing Precision of Telemonitoring of COVID-19 Patients through Expert System Based on IoT Data Elaboration

Olivelli,

Donati,

Vianello

et al. 2024

Electronics

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The emergence of the highly contagious coronavirus disease has led to multiple pandemic waves, resulting in a significant number of hospitalizations and fatalities. Even outside of hospitals, general practitioners have faced serious challenges, stretching their resources and putting themselves at risk of infection. Telemonitoring systems based on Internet of things technology have emerged as valuable tools for remotely monitoring disease progression, facilitating rapid intervention, and reducing the risk of hospitalization and mortality. They allow for personalized monitoring strategies and tailored treatment plans, which are crucial for improving health outcomes. However, determining the appropriate monitoring intensity remains the responsibility of physicians, which poses challenges and impacts their workload, and thus, can hinder timely responses. To address these challenges, this paper proposes an expert system designed to recommend and adjust the monitoring intensity for COVID-19 patients receiving home treatment based on their medical history, vital signs, and reported symptoms. The system underwent initial validation using real-world cases, demonstrating a favorable performance (F1-score of 0.85). Subsequently, once integrated with an Internet of Things telemonitoring system, a clinical trial will assess the system’s reliability in creating telemonitoring plans comparable with those of medics, evaluate its effectiveness in reducing medic–patient interactions or hospitalizations, and gauge patient satisfaction and safety.

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Section: Clinical Trialmentioning

confidence: 99%

Enhancing Precision of Telemonitoring of COVID-19 Patients through Expert System Based on IoT Data Elaboration

Olivelli,

Donati,

Vianello

et al. 2024

Electronics

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“…CovidDetNet model design [63] The proposed approach has effectively and efficiently identified and classified COVID-19 using chest X-rays. SatNav E@syCare model design [64] The telemedicine platform enables remote monitoring, reduces contact between patients and doctors, and automates medical processes. Vector Algorithm design [65] The Vector algorithm enables a new approach to the management of COVID-19 patients by early detection of interstitial pneumonia from lung sounds.…”

Section: Classic Teleconsultation Model [30]mentioning

confidence: 99%

“…[63] Deep learning This study made a three-level classification (COVID-19, pneumonia, and normal) because its automatic prediction and detection can help doctors quickly and timely identify COVID-19 patients, and suggest appropriate treatment according to the cause of infection. [64] Deep learning The performance of VECTOR was compared with diagnostic imaging modalities, namely lung ultrasound, chest X-ray, and high-resolution computed tomography, which were accepted as ground truth. The results showed an astonishing 75% overall diagnostic accuracy.…”

Section: Classic Teleconsultation Model [30]mentioning

confidence: 99%

A Systematic Review on ICT-based Remote and Automatic COVID-19 Patient Monitoring and Care

Chatterjee

Prinz

Riegler

et al. 2023

Preprint

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Background: e-Health has played a crucial role during the COVID-19 pandemic in primary health care. e-Health is the cost-effective and secure use of Information and Communication Technologies (ICT) to support health and health-related fields. As a result of ICTs, the healthcare sector is undergoing a new revolution and societal governance is becoming more sustainable. As a result of the COVID-19 pandemic, information, and communication technology (ICT) has improved the quality of healthcare and the exchange of information, trained healthcare professionals and patients, and facilitated the relationship between patients and their healthcare providers. Various stakeholders worldwide use ICTs, including individuals, non-profit organizations, health practitioners, and governments. This study systematically reviews the literature on ICT-based automatic and remote monitoring methods and different ICT techniques used in the care of COVID-19-infected patients. Objective: The purpose of this systematic review is to identify the e-Health methods, associated information and communication technologies, implementation strategies, information collection techniques, advantages, and disadvantages of remote and automatic patient monitoring and care in COVID-19. Methods: The search included primary studies that were published between January 2020 and June 2022 in scientific and electronic databases, such as EBSCOhost, Scopus, ACM, Nature, SpringerLink, IEEE Xplore, MEDLINE, Google Scholar, JMIR, Web of Science, and PubMed. In this review, the findings from the included publications are presented and elaborated according to the research questions identified. Evidence-based systematic reviews and meta-analyses were conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. Additionally, we improved the review process using the Rayyan tool and the Scale for the Assessment of Narrative Review Articles (SANRA). Among the eligibility criteria were methodological rigor, conceptual clarity, and useful implementation of ICTs in e-Health for remote and automatic monitoring of COVID-19 patients. Results: Our initial search identified 664 potential studies; 102 were assessed for eligibility in the pre-final stage and 65 articles were used in the final review with inclusion and exclusion criteria. The review identified the following eHealth methods-Telemedicine, Mobile Health (mHealth), and Telehealth. The associated ICTs are Wearable Body Sensors, Artificial Intelligence (AI) algorithms, Internet-of-Things, or Internet-of-Medical-Things (IoT or IoMT), Biometric Monitoring Technologies (BioMeTs), and Bluetooth-enabled (BLE) home health monitoring devices. Spatial or positional data, personal and individual health, and wellness data, including vital signs, symptoms, biomedical images and signals, and lifestyle data are examples of information that is managed by ICTs. Different AI and IoT methods have opened new possibilities for automatic and remote patient monitoring with associated advantages and weaknesses. Our findings were represented in a structured manner using an ontology model. Conclusions: Various e-Health methods, associated remote monitoring technologies, approaches, information types, adoption of ICT tools for automatic remote patient monitoring (RPM), advantages and limitations of RMTs in the COVID-19 case are discussed in this systematic literature review. The use of e-Health during the COVID-19 pandemic illustrates the constraints and possibilities of using ICT. ICTs are not merely an external tool to achieve definite remote and automatic health monitoring goals; instead, they are embedded in contexts. Therefore, the importance of the mutual design process between ICT and society during the global health crisis has been observed from a social informatics perspective. A global health crisis can be observed as an information crisis (e.g., insufficient information, unreliable information, and inaccessible information); however, this review shows the influence of ICTs on COVID-19 patients' health monitoring and related information collection techniques.

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An Intelligent System for Telemonitoring Plan Decision and Update in Covid-19 Patients

Olivelli,

Donati,

Vianello

et al. 2023

2023 IEEE International Conference on Advances in Data-Driven Analytics and Intelligent Systems (ADACIS)

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SatNav E@syCare Telemedicine Platform in the Management of Covid-19 Patients: Field Trial Results

Cited by 4 publications

References 12 publications

Enhancing Precision of Telemonitoring of COVID-19 Patients through Expert System Based on IoT Data Elaboration

Enhancing Precision of Telemonitoring of COVID-19 Patients through Expert System Based on IoT Data Elaboration

A Systematic Review on ICT-based Remote and Automatic COVID-19 Patient Monitoring and Care

An Intelligent System for Telemonitoring Plan Decision and Update in Covid-19 Patients

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