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Can Data Save The Nursing Community From COVID-19?

HOW DATA SAVES LIVES IN THE AGE OF COVID-19 NEARLY 10,000 CORONAVIRUS DEATHS IN THE U.S. are connected to nursing home residents or caregivers* - and the virus continues to spread ´as of 4/24/2020 What We KNOW NOW SOCIAL DISTANCING IS WORKING Comparing cities with similar population densities, the results of early-mandated stay at home orders are clear SAN FRANCISCO BOSTON First reported case March 5 First reported case February 1st Stay at home order March 17 (13 days later) Stay at home order March 24 (53 days later) Cases per 100,000 114* Cases per 100,000 663* * as of 4/20/2020 NURSING HOMES: UNFORTUNATE FRONT LINES From March 23-3O 2020, coronavirus cases among long-term care patients spiked 172% Seattle, Washington: Life Care Center of Kirkland One of the first U.S. epicenters of the outbreak More than 2/3rds of residents Ho have tested positive Nearly 40 residents have died from the virus In the U.S., at least 2,300 long term care facilities have reported cases of coronavirus* In New Jersey alone, nearly 400 long-term facilities have been affected by an outbreak, resulting in more than 1,500 deaths Many U.S. health experts have criticized lack of testing and data gathering – tools vital to developing new strategies to combat the virus *as of 4/13/2020 In 1918, the Spanish Flu wasn't named for the origin of the pandemic – As one of the only nations with a free press, Spanish newspapers were the chief source of public information on the disease How Data SAVES LIVES Worldwide, organizations are already making efforts to use emerging technologies and data science to combat the virus The World Health Organization has partnered with Facebook, Microsoft, Twitter, and other large tech companies to host a coronavirus "hackathon" The Rockefeller Foundation committed $20 million to the development of better data-science tools for tracking and managing the spread of the virus THE CHALLENGE IS NOT A LACK OF DATA, BUT DETERMINING WHAT IS THE MOST RELEVANT DATA What we need to know SEVERITY OF RISK HOW IT SOCIETAL AND THE PROBLEM FACTORS SPREADS ENVIRONMENTAL CONTEXT WHY LOCAL, SPECIALIZED DATA MATTERS If predictive models are built solely on macro data we may miss vital differences in an epidemic's spread DATA MUST TAKE INTO ACCOUNT Geographic location Socioeconomics In 2010, a cholera epidemic in Haiti killed 7,000 and infected half a million others It took weeks for official sources to report details – BUT on Twitter, news of the disease traveled far more quickly Cultural customs and behaviors Finding A Solution Start With COLLECTING DATA ) Temperature EARLY WARNING SIGNS UC San Francisco is studying 2,000 healthcare workers using Oura ring Heart rate Respiration rate Their immediate goal Detect early onset symptoms of COVID-19 +) And more Their ultimate goal To determine algorithm to predict many illnesses The ring Tracks symptoms through the finger, including respiration rate and body temperature YOU CAN HELP FROM HOME – EVEN IF YOU'RE NOT A DATA SCIENTIST Folding@home lets you share your unused computing power to aid research into potential cures for coronavirus and other diseases TRACKING THE SPREAD: SMART THERMOMETERS – KINSA Using anonymized data to track fevers across the country, using Adapted algorithms to detect fevers that are inconsistent Based on this data, Kinsa has consistently predicted the spread of COVID-19 accurately forecasting 2-3 weeks ahead of the CDC with typical flu spread patterns 500,000 thermometers - identifying likely clusters of coronavirus 162,000 readings per day FOCUSING ON SPECIALIZED POPULATIONS Secure-IBD Darwin Al Database of anonymized patient data for those with COVID-19 and Has released open source tools to help researchers and clinicians diagnose and study COVID-19 through chest x-rays irritable bowel disease Caregivers around the world can contribute to the data collection COVID-Net: A neural network designed to aid diagnosis Each week participants receive an updated summary of the data COVIDX: A dataset of 5941 chest X-rays from 2839 patients NURSING HOME DASHBOARD – MEGADATA All-inclusive dashboard for nursing home business intelligence Creates a facility-wide dashboard of COVID-19 symptoms for early detection of the disease > Extracts likely symptoms from nurses' notes - like cough or shortness of breath > Tracks daily temperature readings and flags high fevers With the severity of symptoms so closely linked to survival, early identification of COVID infections – especially in high-risk patients – may be essential to saving lives • With the right data, staff can react quickly and stop the spread of infection A NEW BREAKTHROUGH IN EARLY COVID-19 OUTBREAK DETECTION? Temperature checks ARE TOO LATE Pulse Oximeter Measuring oxygen levels twice a day shows the underlying problems before patients fully outwardly present COVID-19 symptoms in a nursing home setting - UP TO 2 WEEKS EARLIER AND MORE IMPORTANTLY, SAVE LIVES AND CONTAIN CORONAVIRUS IN ITS TRACKS THE ANSWER TO COVID-19 IS IN DATA – ARE YOU LOOKING IN THE RIGHT PLACE? SOURCESštrictions-fevers.htmlírkland-life-care-nursing-home.htmlånd-silicon-valleys-into-it megadáta DEVELOPED BY N NOWSOURCING ol 97 77 kinsa

Can Data Save The Nursing Community From COVID-19?

shared by NowSourcing on May 29
We know social distancing is working, but this also creates room for the virus to spread within nursing homes. Does smart tech have a solution?






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