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16th IEEE International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2022 ; : 553-560, 2022.
Article in English | Scopus | ID: covidwho-2315557

ABSTRACT

The combination of pervasive sensing and multimedia understanding with the advances in communications makes it possible to conceive platforms of services for providing telehealth solutions responding to the current needs of society. The recent outbreak has indeed posed several concerns on the management of patients at home, urging to devise complex pathways to address the Severe Acute Respiratory Syndrome (SARS) in combination with the usual diseases of an increasingly elder population. In this paper, we present TiAssisto, a project aiming to design, develop, and validate an innovative and intelligent platform of services, having as its main objective to assist both Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) multi-pathological patients and healthcare professionals. This is achieved by researching and validating new methods to improve their lives and reduce avoidable hospitalisations. TiAssisto features telehealth and telemedicine solutions to enable high-quality standards treatments based on Information and Communication Technologies (ICT), Artificial Intelligence (AI) and Machine Learning (ML). Three hundred patients are involved in our study: one half using our telehealth platform, while the other half participate as a control group for a correct validation. The developed AI models and the Decision Support System assist General Practitioners (GPs) and other healthcare professionals in order to help them in their diagnosis, by providing suggestions and pointing out possible presence or absence of signs that can be related to pathologies. Deep learning techniques are also used to detect the absence or presence of specific signs in lung ultrasound images. © 2022 IEEE.

2.
Open Forum Infectious Diseases ; 9(Supplement 2):S399, 2022.
Article in English | EMBASE | ID: covidwho-2189686

ABSTRACT

Background. Antibiotic Stewardship Programs (ASPs) assist front-line clinicians in synthesizing emerging data and establishing best practices. Our ASP team directly maintained and edited an internal web application, Duke CustomID , to disseminate updated guideline, policy, and drug information during COVID-19. We aimed to describe website engagement and maintenance during the dynamic pandemic period. Methods. We performed a descriptive, time-series analysis using Google Analytics software to measure engagement with Duke CustomID during a 1-year prepandemic period through the Omicron surge: January 2019 to March 2022. We measured total page views (or 'hits'), COVID-specific page hits, and days requiring COVID-specific page edits by week. Given fluctuations in hospitalization rates, we defined the primary outcome as the rate of hits divided by total hospitalizations. Weekly data were assessed graphically with positive COVID tests and COVID hospitalizations. We used negative binomial regression to quantify the association between COVID hospitalizations and hit rates and to trend engagement over time, adjusted for seasonality. We stratified data by COVID page and calculated a hit/edit ratio. Results. Engagement with CustomID increased during the pandemic period, especially during surges (Figure). Hits in the pre-pandemic period were median 1707 (range 1165-2354) per week, and hit rates median 1.95 per hospitalization (range 1.40-2.86). Peaks were observed in March 2020 (hit rate 4.59) and January 2022 (hit rate 3.87). On average, for every 100 COVID hospitalizations, the hit rate increased by 0.08 (0.004-0.16, p=0.04). Engagement slowly increased over the study period (relative rate week 1 versus 170: 1.15, 95% confidence interval 1.02-1.28, p=0.02). COVID page edits per week had a median of 2 (range 0-12). Adult Inpatient Guidelines and COVID Monoclonal Antibody pages had highest use (Table). Duke CustomID Hits and Maintenance Efforts over the Pandemic Top: COVID-specific CustomID hits per week (Green), Positive COVID tests per week (Blue) over time Middle: Total custom ID page hits relative to total hospitalizations per week (teal), COVID hospitalizations (Red) Bottom: Number of edits to COVID-specific CustomID pages per week, stratified by management pages and drug pages Several dates of significance are highlighted including the Emergency Use Authorizations (EUA) for remdesivir, the COVID Vaccines, and Paxlovid Duke CustomID COVID-19 Page Hits and Edits COVID specific pages on Duke CustomID with total hits, edits, and ratio over the pandemic Conclusion. Our ASP's website was a highly utilized, practical tool for disseminating practice-changing information during the pandemic. Use increased over time and especially during surges. An electronic reference customized for local practice and rapidly updated by ASPs offers critical support for front-line clinicians.

3.
International Journal of Technologies in Higher Education ; 18(1):291-304, 2021.
Article in French | Web of Science | ID: covidwho-1359495

ABSTRACT

Around the world, confinement measures imposed during the COVID-19 pandemic have forced universities to shut down their campuses. Graduate students opted for online modalities to progress their academic writing projects, including theses and dissertations. In Canada, a non-profit organization named Thesez-vous implemented innovative digital strategies to support students in times of crisis. This article presents qualitative results obtained from 33 PhD students who have used said tools to continue their studies. A follow-on discussion focuses on existing digital learning environments and considerations for subsequent research.

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