2ND PART OF THE PAPER (POSSIBLE CONTENTS)
https://www.tibco.com/blog/2020/05/20/data-for-good-in-the-fight-against-covid-19/
http://www.dbta.com/Editorial/News-Flashes/SAP-Fights-Against-COVID-19-Misinformation-with-New-
App-140387.aspx
POSSIBLE FEATURES THAT COULD HELP THE ENTIRE DISCUSSION
(JASPERSOFT)
At TIBCO, our response includes all of these elements plus one more: leveraging our
core competency in software and data to make predictive tools about the pandemic
available to all who need them.
Here’s a screenshot of one of our dashboards. It’s part of our suite of data
visualizations that provide valuable insights about the progress of COVID-19 to
partners:
In March, we dedicated significant resources to gather, analyze, visualize, and
publish comprehensive data tools tracking the outbreak and response. Early in the
pandemic, our data team built a hub of visual and predictive analytics based on
trusted, publicly available sources, along with local and county-level data. It is all
available at TIBCO.com/covid19 – a data-fueled and thoughtful exploration of the
coronavirus pandemic and what is being done about it
Our goal is to understand the outbreak in real time at a community level, and assess
the effects of non-pharmaceutical social interventions. Our tools offer guidance for
resource planning, along with economic and supply chain considerations for
healthcare facilities across the world. To be clear, we aren’t a team of
epidemiologists. We are data scientists and technologists providing a service that
helps empower public health officials through actionable insights and information. In
the hands of governments, health institutions, researchers, and others on the
frontline of the pandemic, these tools are helping to predict the effects of
interventions and track viral recoveries in real time.3
I. HEALTHCARE IMPLEMENTATION
Medical experts all around the globe are searching for a needle in a haystack,
and the haystack is massive and is expanding constantly. Analytics today is
being used by medical experts to focus the search on the part of the haystack in
which the needle likely lies.
The COVID-19 global pandemic is creating large volumes of data, which
data scientists are analyzing to track the disease, guide the response and
find treatments. To humans, the data from pandemics can be hard to
grasp because there is a long gap between an outbreak happening and
visible results in the community – particularly at scale. Data science can
be invaluable in crunching these numbers.Already, many projects are
underway using artificial intelligence (AI) and big data analytics to battle
the pandemic. They can play a role across the whole lifecycle of the
outbreak: from prediction, detection and response, all the way to recovery.
In addition to detecting an outbreak, AI can also help predict its progress. For
example, BlueDot was able to predict the early spread of the illness from Wuhan
to other Asian cities based on airline ticketing data. This has successfully been
used before, for example during the Ebola epidemic of 2014, when researchers
in the U.S. created a travel-census model to predict exactly where in Texas a
case would be found.
Change Healthcare has developed an analytical tool that gives hospitals a
centralized place to visualize a range of data types and to model various
scenarios impacting clinical, financial, and operational aspects of healthcare
organizations. (jaspersoft)
A. PREVENT
Mobile phone data can play a key role in tracking the movement of people to
help identify where the disease is likely to spread. For example,
location statistics can help analyze the spread of the disease and help in
allocating resources according to population distribution.
AI-driven predictions of disease spread can then guide public health
authorities in their decisions for resourcing and actions required in certain
locations. For example, big data analytics can cross reference disease
data against high-risk senior residents down to postcode level and the
incidence of factors such as diabetes or obesity. This allows them to identify
where extra intensive care beds are likely to be required, for example.
Once the outbreak has been contained, public health authorities can use AI
and data science to make decisions about how to deal with outbreaks in the
future. The data that is collected from this pandemic will be invaluable in
understanding how best to deal with future outbreaks. It will allow authorities
to test different scenarios and outcomes to make data-driven decisions on the
best actions to take in the future.
B. REAL TIME UPDATES (PUM/PUI & DEATH/RECOVERIES/TOTAL CASES)
C. AVAILABILITY OF TESTING CENTERS AND OTHER FACILITIES
WHO considers testing to be vital in combating the spread of the disease, so
there is research underway using AI to identify COVID-19 patients from other
sources, such as CT scans. Machine learning is already used to identify all types
of illnesses, from cancer to eye diseases, so this is a route with some potential,
even if CT scans are unlikely to be useful as an early warning signal of the
illness.
Data science can play a central role in analyzing the large-scale testing of people
by linking these results with anonymized health characteristics of hospitalized
patients. This will allow us to understand the key risk factors and better protect
people with the greatest risk. Because it is a new disease, these are not yet fully
understood. The more data there is, the more accurate these predictions can be,
and the better the pandemic can be managed. This will also allow us to make
better judgements of when and how social distancing should be lifted.
AI is also being used to accelerate drug development to treat COVID-19. For
example, Google’s Deep Mind AI system is being used to identify characteristics
of the virus that may help to understand how it functions. This would be useful
information in working out what treatments to pursue. Others include UK-
based BenevolentAI, which is using AI to identify promising existing treatments
for other illnesses that could be effective in treating COVID-19.
D. HOSPITAL DASHBOARDS
(from jaspersoft) Providing our online dashboard tools at no cost was an
easy decision for us. We invite partners to use our tools at TIBCO.com. We’re
making them available to everyone online and are partnering more deeply
with governments and institutions responding to this crisis. If you think these
tools can help in new ways, let us know. This is a defining moment in our
lives, and it is also a defining moment for businesses to step up and lead. I’m
inspired by the steps so many have taken – and we’re ready to keep going,
together.
POSSBILE FEATURES THAT COULD HELP FIGHT COVID19 (SAP BI)
“This app is one of several ways SAP is helping to fight COVID-19 across
Asia,” said Scott Russell, president, SAP APJ. “The volume of important
information on the pandemic from a huge variety of sources – including
employers, the government and health authorities – can make it hard to keep
up. Bridge-IT is designed to help guard against COVID-19 misinformation and
help people stay on top of important updates in the simplest way possible, so
they can focus on their health, happiness, and wellbeing.”
Created to support employees and combat inaccurate news, the app will
collate information from trustworthy sources including The World Health
Organization (WHO), and combine it with specific country data, local
government guidance, travel information, and relevant company policies, to
provide localized information for users.
BRIDGE IT APP OF SAP BI
o Data Platform –powered by SAP Cloud Platform, the data platform bridges
information from trustworthy global and local sources, as well as specific
country, government and company data to provide as accurate information as
possible, in real time
o Chatbot – powered by SAP Conversational AI technology, the chatbot
provides a user-friendly tool for questions and access to company specific
FAQs or healthcare guidance
o Automated Guidance Tools – powered by Qualtrics, these personalised
surveys span a range of topics for respondents to input their situation and be
routed to appropriate resources based on their needs. This includes a
COVID-19 symptoms survey, which provides tailored healthcare guidance
and resources based on users answers about symptoms displayed
o Dashboard – provides visualisations of real time data, such as impacts of
COVID-19 on supply and customer-based data, including public sentiment on
SAP Analytics Cloud.
The app incorporates a standard set of data, including company policies,
travel information, COVID-19 case numbers, health resources, and legislative
updates, but can be adapted to include specific data or information as
required.
One of the first SAP customers using the app, a global pharmaceuticals firm,
has already rolled out the app for staff, including bespoke data on the number
of COVID-19 cases searchable by hospital location. This helps employees at
the firm to predict likely demand for medical supplies and respond
accordingly.All data in the Bridge-IT app will be open and accessible so third
parties can develop additional solutions.
SAP Analytics Cloud is our full blown analytics platform that enables you to make
end-to-end decisions with all analytics capabilities in one place. By all we mean BI,
planning & predictive/ML in one, single solution. No other vendor has business
intelligence (BI), collaborative enterprise planning, and augmented analytics in one
platform built for software as a service (SaaS). SAP Analytics Cloud allows you to
gain enterprise-ready insights and take action within your business processes.
Furthermore we can make smarter decisions faster with artificial intelligence (AI)-
driven insights. In my case I will create & use planning models in SAP Analytics
Cloud, but you can also work just with an analytical model.
Let’s first define the business use case that we plan to work on. This is also super
important in your non COVID-19 related scenarios, since every platform has several
different options how to get to the finish line, so we need to be focused on the
outcome. Otherwise it’s just another feature&function POC, pilot, etc. In our case I
want to track the Coronavirus outbreak, by following different KPIs or measures. To
be more specific I would like to track the number of confirmed cases, deaths,
recoveries, mortality rate. etc. Furthermore I would like to track the progress or
dynamics of the disease and how it spreads in different countries. To make my
analysis easier, I would also like to visualise data on a map. Since we also need to
monitor how it spreads from day to day, I need to make sure to have data organised
on a daily basis. At the end of the day, I need to know if I can go to the supermarket
or should I wait for better times.
