Architectural ML Framework for IoT Services Delivery Based on Microservices

Author(s):  
Kristina Dineva ◽  
Tatiana Atanasova
Keyword(s):  
2020 ◽  
Vol 5 (Special) ◽  

Dubai Health Authority (DHA) is the entity regulating the healthcare sector in the Emirate of Dubai, ensuring high quality and safe healthcare services delivery to the population. The World Health Organization (WHO) declared COVID-19 a pandemic on the 11th of March 2020, indicating to the world that further infection spread is very likely, and alerting countries that they should be ready for possible widespread community transmission. The first case of COVID-19 in the United Arab Emirates was confirmed on 29th of January 2020; since then, the number of cases has continued to grow exponentially. As of 8th of July 2020 (end of the day), 53,045 cases of coronavirus have been confirmed with a death toll of 327 cases. The UAE has conducted over 3,720,000 COVID-19 tests among UAE citizens and residents over the past four months, in line with the government’s plans to strengthen virus screening to contain the spread of COVID-19. There were vital UAE policies, laws, regulations, and decrees that have been announced for immediate implementation to limit the spread of COVID- 19, to prevent panic and to ensure the overall food, nutrition, and well-being are provided. The UAE is amongst the World’s Top 10 for COVID-19 Treatment Efficiency and in the World’s Top 20 for the implementation of COVID-19 Safety measures. The UAE’s mission is to work towards resuming life after COVID-19 and enter into the recovery phases. This policy research paper will discuss the Dubai Health Authority’s rapid response initiatives towards combating the control and spread of COVID-19 and future policy implications and recommendations. The underlying factors and policy options will be discussed in terms of governance, finance, and delivery.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kimberly A. Kaphingst ◽  
Wendy Kohlmann ◽  
Rachelle Lorenz Chambers ◽  
Melody S. Goodman ◽  
Richard Bradshaw ◽  
...  

Abstract Background Advances in genetics and sequencing technologies are enabling the identification of more individuals with inherited cancer susceptibility who could benefit from tailored screening and prevention recommendations. While cancer family history information is used in primary care settings to identify unaffected patients who could benefit from a cancer genetics evaluation, this information is underutilized. System-level population health management strategies are needed to assist health care systems in identifying patients who may benefit from genetic services. In addition, because of the limited number of trained genetics specialists and increasing patient volume, the development of innovative and sustainable approaches to delivering cancer genetic services is essential. Methods We are conducting a randomized controlled trial, entitled Broadening the Reach, Impact, and Delivery of Genetic Services (BRIDGE), to address these needs. The trial is comparing uptake of genetic counseling, uptake of genetic testing, and patient adherence to management recommendations for automated, patient-directed versus enhanced standard of care cancer genetics services delivery models. An algorithm-based system that utilizes structured cancer family history data available in the electronic health record (EHR) is used to identify unaffected patients who receive primary care at the study sites and meet current guidelines for cancer genetic testing. We are enrolling eligible patients at two healthcare systems (University of Utah Health and New York University Langone Health) through outreach to a randomly selected sample of 2780 eligible patients in the two sites, with 1:1 randomization to the genetic services delivery arms within sites. Study outcomes are assessed through genetics clinic records, EHR, and two follow-up questionnaires at 4 weeks and 12 months after last genetic counseling contactpre-test genetic counseling. Discussion BRIDGE is being conducted in two healthcare systems with different clinical structures and patient populations. Innovative aspects of the trial include a randomized comparison of a chatbot-based genetic services delivery model to standard of care, as well as identification of at-risk individuals through a sustainable EHR-based system. The findings from the BRIDGE trial will advance the state of the science in identification of unaffected patients with inherited cancer susceptibility and delivery of genetic services to those patients. Trial registration BRIDGE is registered as NCT03985852. The trial was registered on June 6, 2019 at clinicaltrials.gov.


Author(s):  
Saber Yezli ◽  
Abdulaziz Mushi ◽  
Yasir Almuzaini ◽  
Bander Balkhi ◽  
Yara Yassin ◽  
...  

The Hajj mass gathering is attended by over two million Muslims each year, many of whom are elderly and have underlying health conditions. Data on the number of pilgrims with health conditions would assist public health planning and improve health services delivery at the event. We carried out a systematic review of literature based on structured search in the MEDLINE/PubMed, SCOPUS and CINAHL databases, and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, to estimate the prevalence of diabetes and hypertension among Hajj pilgrims. Twenty-six studies conducted between 1993 and 2018 with a total of 285,467 participants were included in the review. The weighted pooled prevalence rates of hypertension and diabetes among Hajj pilgrims in all included studies were 12.2% (95% CI: 12.0–12.3) and 5.0% (95% CI: 4.9–5.1), respectively. The reported prevalence of other underlying health conditions such as chronic respiratory, kidney or liver disease, cardiovascular disease, cancer and immune deficiency were generally low. Potentially a large number of pilgrims each Hajj have diabetes and/or hypertension and other underlying health conditions. Hajj could be a great opportunity to reduce the burden of these diseases within the over 180 countries participating in the event by identifying undiagnosed cases and optimizing patients’ knowledge and management of their conditions. Prospero registration number: CRD42020171082.


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