ABSTRACT
In recent times, the World has taken a critical blow from the novel Coronavirus. Moreover, with its research ongoing and multiple variants emerging, uncertainty is on the rise. Lung damage and cardiac issues occur during and post recovery which is why there is a requirement to constantly monitor the patient’s vitals. This also applies to patients suffering from other lung diseases and heart conditions. They need immediate attention to avoid complications and further deterioration in their health. The proposed system aims to do so by observing the health parameters such as oxygen saturation in blood and heartbeat constantly and making the data available for the user by displaying it. In case of abnormality, it alerts the person related to the patient about the developments and relays the required information to help like symptom details and the patient’s location, this ensures that actions are taken quickly. Simultaneously, it provides assistance in breathing during the interlude till professional help arrives and the patient receives the necessary treatment. This is achieved with a combination of sensors, modules and other components integrated with a microcontroller as well as the implementation of Internet of Things (IoT) using a web service.
ABSTRACT
Introduction/Background This pragmatic cluster randomized clinical trial (cRCT) enrolls patients with multiple chronic diseases (MCDs) who are at highest risk for destabilization (unplanned hospitalizations, increased disability). Patients with multiple chronic diseases are often excluded from clinical trials because of their multiple medical conditions and worse health outcomes, which significantly confound Results. Few evidenced- based strategies exist to comprehensively address the needs of these patients. Objective(s) Among 1920 adult patients with multiple chronic diseases defined as a Charlson Comorbidity Index (CCI) > 4, who are established primary care patients of 16 Federally Qualified Health Centers (FQHCs) in NYC (n=8) and Chicago (n=8), which serve predominantly low income, Black and Latino patients, this pragmatic cluster RCT evaluates the comparative effectiveness of two approaches to preventing significant destabilization ('tipping points') that leads to unplanned hospitalization and increased disability. Methods Federally Qualified Health Centers (FQHCs, n=16) are cluster-randomized to: 1) Patient Centered Medical Home (PCMH) (Usual Care);or 2) PCMH plus a Health Coach (PCMH + HC) intervention that employs a positive affect/ self-affirmation strategy to motivate patients to set life goals, improve self-management and handle psychosocial and other stressors (Experimental). Primary and secondary outcomes include: unplanned hospitalizations and emergency department (ED) visits aggregated by PCORnet Clinical Research Networks, Health Information Exchange (New York City), and hospital alerts (Chicago), at baseline, 6, 12, 24-months and changes in disability. With the COVID-19 pandemic, we shifted to remote recruitment, and added oral consenting, egift cards and mailed letters. Results The PCMH + HC arm is designed to identify and prevent destabilization leading to hospitalization or ED visits that are more often triggered by psychosocial issues-family, community and environmental-than by medical issues. The study is powered to detect a 33% relative reduction in% hospitalized (a 5% absolute reduction) in PCMH + HC compared to PCMH only. Additionally, we expect that reducing hospitalization will result in reduced disability. Conclusion This intervention is designed to help participants manage life events that lead to 'tipping points' or overwhelming situations that result in unplanned hospitalizations and increased disability. FQHCs with PCMH recognition focus on care coordination. Patients need assistance to deal with many social and health related challenges they face and need help in communicating with health care providers and navigating a complex health care system. The PCMH + HC intervention will determine if adding health coaches helps patients to better manage their sources of stress, improve self-care and reduce unplanned hospitalizations. The impact of COVID-19 on changes to study processes and patient outcomes will be examined.
ABSTRACT
Face recognition has many use cases, and the attendance system is one of the most promising areas of them. But choosing the right face detection and recognition model for the right purpose is always a billion-dollar decision before rolling out a real-time computer vision-based project. Although it is a very common understanding that face recognition is a closed problem, in reality it still has a lot of areas for improvements in the context of implementations. Development of a general-purpose face recognition-based attendance system is completely dependent on the availability of generalized face detection and recognition algorithms which can keep balance between speed, accuracy and anti-spoofing at the higher side of the benchmark. In some of the use cases, speed affects the usability and in some other use cases accuracy affects the usability. So in this paper, we have tried to find face detection and recognition models which can address all types of use cases and in the absence of such a model we tried to create alternative architecture to achieve the best out of the existing model by right positioning them in a pipeline. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
Background-Owing to high viral load in saliva, dental practitioners are not only susceptible for exposure during Covid-19 outbreak but also post pandemic era. During the period of evolving facts and recommendations of WHO for maintaining precautions this study is an effort to understand the preparedness of dental practitioners to resume their practice. Objectives-The objective of this study is to evaluate the knowledge, attitude and practice of dental practitioners regarding the Covid-19 pandemic. Methods-This cross-sectional study was conducted among dental practitioners of India through an online questionnaire-based survey to collect data. The questionnaire was divided into sections containing structured multiple-choice questions about the knowledge, attitude and practice of dental practitioners. Result-Upon analyzing 311 responses it has been observed that majority of dental practitioners were aware of common symptoms of Covid-19 and about the modes of transmission of the disease. They possess adequate knowledge about use of Personal Protective Equipment (PPE) with 88.4 % suggesting to use it while performing aerosol generating procedure. Their awareness about a Covid-19 patient becoming noninfectious is inadequate with only 10% reporting 30 days. Attitude and practice of dental practitioners regarding Covid-19 were stratified on the basis of years of practice. Conclusions-Dental practitioners possess adequate knowledge about standard precaution protocol although they are less aware about transmission-based precaution specific to Covid-19 situation. This study attempts to highlight some facts about Covid-19 which will enlighten the dental practitioners before resuming practice.
ABSTRACT
Dental clinics can play a crucial role in spreading the SARS-CoV-2 infections because of the nature of close contact with the patient’s oral cavity and aerosol generating essential dental procedures. Dental practices in regions affected with SARS-CoV-2 are needed to take utmost precautions and follow strict effective infection control protocols even when the movement control/lockdown is gradually lifted post pandemic. Thus, we aim to summarise the current research findings on SARS-CoV-2 in dental settings and relevant international guidelines and recommended management protocols for the dental clinica. The knowledge on the viral properties of SARS-CoV-2 and epidemiologic characteristics are essential to implement proper mitigation strategies against transmission of Covid-19 infections via dental clinics. © 2020, Institute of Medico-Legal Publications. All rights reserved.