Tag Archive : patterns

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The “Internet of Things Development Survey 2020, Volume 1” report has been added to ResearchAndMarkets.com’s offering.

The Internet of Things Development Survey is conducted twice a year. This comprehensive report, based on primary research with developers actively developing for connected devices and the Internet of Things, gives a comprehensive view of the attitudes, adoption patterns and intentions of these developers.

Topics include: Demographics and Firmographics, Developing and Deploying IoT Projects, IoT Technology Landscape, Business of IoT Development, IoT APIs and Services, Language Use, Platform Targets, Automotive and Connected Car Development, Wearables Development, Real-time Operating Systems, Connected Hardware Development, AI and Advanced Analytics, Cloud and Container Use, Edge Computing and IoT, Performance and Optimization, Security and Technology Adoption.

This survey gives a comprehensive view of the attitudes, adoption patterns and intentions of developers in relation to the Internet of Things. The analyst wishes to make this survey series as valuable as

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Northwell Health makes source code available for health systems to create localized COVID-19 surveillance dashboard

Northwell Health today announced that it has developed a first-of-its-kind predictive tool that can anticipate a spike in coronavirus disease 2019 (COVID-19) cases at its hospitals by mining user data patterns from its Northwell.edu website. With the pandemic still raging worldwide, Northwell plans to give away the source code to other health systems.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20200930005760/en/

Northwell Health frontline staff will have advance warning of the next COVID-19 surge thanks to its new predictive dashboard. (Credit: Northwell Health)

The two-week advance warning system was created this summer by the customer insights group in collaboration with information technology and clinical teams in the wake of the COVID-19 surge that struck New York State’s largest health system last spring. Northwell Health treated nearly 85,000 COVID-19 patients, including 16,000 hospitalized

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Months into the pandemic, there are still so many unknowns about COVID-19. Does age or ethnicity affect how likely a COVID patient is to be admitted to the ICU? Are patients who don’t enter the ICU more likely to end up back in the hospital later? And do comorbidities—other health conditions, such as diabetes, asthma, or heart disease, that may worsen someone’s COVID-19 case—have any affect on how long a coronavirus patient is hospitalized for?

A new website called COVID19questions.org hopes to answer these questions, and more, based on real patient medical record data from more than 200 hospitals. The site was created by a research consortium of 12 hospital systems, including UC San Diego Health and Cedars Sinai Medical Center, called Reliable Response Data Discovery, and funded by the Gordon and Betty Moore Foundation.

[Screenshot: COVID19questions.org]

No one hospital has treated enough COVID-19 patients to parse out any patterns

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