Proposal for Setting Up Ad-Hoc Working Group on AI for COVID-19 Health Emergency
FGAI4H-I-026-A01
E-meeting, 7-8 May 2020
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Ana Rivière Cinnamond (PAHO/WHO)
Shan Xu (CAITC)
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WHO proposed a collection on anonymized COVID-19 clinical
data and
built a data platform for COVID-19 clinical data
•
ITU-WHO released a
Joint Statement
on unleashing
information technology to defeat COVID-19
•
The World Bank, the International Telecommunication Union
(ITU), GSMA and the World Economic Forum launched
COVID-19 Crisis Response: Digital Development Joint Action
Plan and Call for Action
•
Extraordinary G20 Digital Economy Ministerial Meeting:
COVID-19 Response Statement
(Apr 30)
S
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e
This ad-hoc working group on COVID-19 health emergency (WG-HE)
is
aimed at covering the entire cycle of an epidemic emergency
,
encompassing the following: prevention and preparedness, outbreak
early detection, surveillance and response, recovery, rehabilitation,
mitigation, etc.
•
In the short-term
, this group will collect effective ways and cases on AI
and other digital technologies to combat COVID-19 at the above stages.
•
In the future
, this work could contribute to a general experience on the
analytics and scenario setting as a continuous exercise during the
emergency cycle feeding each stage and evolve towards a more
generalizable mechanism on the health emergency continuum,
eventually applicable to other pandemics.
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f
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Targeted to COVID-19
: With the urgency on fighting against COVID-19
worldwide, this ad-hoc WG focuses on the COVID-19 pandemic.
•
No conflicts with TG-Outbreak nor with TG-Symptom
: The TG-Outbreak focuses
on AI solutions on early detection of outbreaks, and this group plans to cover the
many stages of epidemic emergency. TG-Symptom focuses on AI solutions to
identify possible pathologies based on syndromic description by patients. This
ad-hoc WG will collaborate, reuse and share mid or final outputs with the
applicable FG-AI4H TGs.
•
Further research in the future
: Collection and collaboration on COVID-19 digital
cases are not the only activities of this ad-hoc WG. Further research such as risk
assessment, monitoring and evaluation, analytics and scenario setting as a
continuous exercise during the above emergency cycle will be conducted. We
expect a generalized experience extracted from this COVID-19 work, eventually
applicable to other health emergencies.
AI
at each stage
Laboratory
: improving
testing bottlenecks
(capacity, timeliness)
Movement restrictions/
control/ lifting of measures:
Contact tracing, facial
recognition, PEPP-PT etc.
TG Symptoms
: global
syndromic
surveillance data
availability
TG Outbreaks
: global
monitoring of epi
data, media
monitoring
Analytics
: capacity to assess the risk
at local, national and international
levels (data needs on mobility to
quantify possible spread )
Facilitating movement
restrictions
: food and
medication delivery, medical
follow up, teleworking, home
schooling etc.
Clinical diagnostics:
speeding
triag, diagnostic and
treatment techniques
(imaging, clinical algorithms)
Early detection of
cases
: geolocation,
movement, facial
recognition etc.
Lessons learned to inform
change
:
systematizing findings,
feeding to policy changes
New ways of living
:
technologies that will facilitate
social distancing while allowing
to continue with work and
personal life
ethics
ethics
E
x
i
s
t
i
n
g
w
o
r
k
•
CAICT (China)
best practice reports
on digital health cases in the prevention and control
of COVID-19 in China: with more 200 digital cases were collected (AI, 5G, Internet, IoT,
Virtual hospital, etc.), and the series of reports(
V1
,
V2
,
V3
,
V4
,
EN
) started in Jan 2020 is
regularly updated.
•
CAICT’s digital health demand and supply
platform
: Over 500 companies and enterprises
are engaged and
published their digital products and solutions
on epidemic prevention and
control. This platform is now supporting NHC on international supplies supporting for
countries.
•
Technologies for digital contact tracing are being used to monitor how efficiently social
distancing measures are being applied across cities/countries. Different techniques have
been explored and tools (such as apps) developed, e.g. Google or Waze metadata, Fitbit,
Bluetooth and different social media platforms metada, covidApp etc. General concerns
include privacy and confidentiality of data, which can be a factor in adoption. Some
estimates indicate that digital contact tracing, to be effective, would require adoptions of
60% or more within a monitored population.
D
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v
e
r
a
b
l
e
s
•
Nurture the creation of a network of experts
that can be a reference
group for addressing the use of AI and other digital technologies for
tackling health emergencies such as the COVID-19 pandemic.
•
Develop a collection of best practice or case collection
that can be
referenced globally that
leverage AI and other digital technologies in
combating COVID-19,
build suitable mechanisms on sharing these
experiences.
•
Reports
on risk assessment, monitoring & evaluation of different digital
interventions on COVID-19.
•
Develop a framework to cover the entire cycle
of an epidemic emergency
and provide guidance on digital interventions feeding each stage.
•
Provide, as appropriate and upon request
, input to WHO development
processes
for guidelines on the use of AI and other digital technologies
for tacking health emergencies.
•
Providing guidance for public health considerations
on the use of AI and
other digital technologies for tackling health emergencies.
•
Other possible collaboration output within the network (e.g. With Ethics,
with Outbreak, with Symptoms, with Xray solutions etc.)
R
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s
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Chairs and experts of FG-AI4H
•
WG and TG members with relevant expertise and
interest
•
ITU and WHO experts
•
G20 and other international mechanisms
•
Workshops to include participants from government
agencies, academic institutions, NGOs and National
Health Committees
Participants in this ad-hoc WG will follow the procedure in Document FG-AI4H-F-105.
FG-AI4H F-105
(Zanzibar, September 2019)), ToRs for the WG-Experts and call for experts and Annex A,
Application form
;
Conflict of interest form
Thank you!
Any question or suggestion?
Presentation proposing the establishment of an ad-hoc working group focused on utilizing AI and digital technologies to combat the COVID-19 health emergency. The group aims to cover various stages of epidemic emergencies, including prevention, preparedness, outbreak detection, surveillance, recovery, and mitigation. Specific issues addressed include the urgency in fighting COVID-19, collaboration with existing groups, and future research activities such as risk assessment and monitoring. The proposal emphasizes the importance of leveraging technology to enhance public health responses during pandemics.
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FGAI4H-I-026-A01 E-meeting, 7-8 May 2020 Source: CAICT, PAHO Title: Proposal to set up an ad-hoc working group on AI and other digital technologies for COVID-19 health emergency (WG-WE) - Att.1: Presentation Purpose: Discussion Contact: Ana Rivi re Cinnamond (PAHO/WHO) Email: rivierea@paho.org Shan Xu (CAITC) Email: xushan@caict.ac.cn Abstract: This PPT contains a proposal to set up an ad-hoc working group on AI for COVID-19.
Proposal to set up an ad Proposal to set up an ad- -hoc working group on AI hoc working group on AI for COVID for COVID- -19 19 Ana Rivi re Cinnamond (PAHO/WHO) Shan Xu (CAITC)
Introduction Introduction
Rationale Rationale WHO proposed a collection on anonymized COVID-19 clinical data and built a data platform for COVID-19 clinical data ITU-WHO released a Joint Statement on unleashing information technology to defeat COVID-19 The World Bank, the International Telecommunication Union (ITU), GSMA and the World Economic Forum launched COVID-19 Crisis Response: Digital Development Joint Action Plan and Call for Action Extraordinary G20 Digital Economy Ministerial Meeting: COVID-19 Response Statement (Apr 30)
Scope Scope This ad-hoc working group on COVID-19 health emergency (WG-HE) is aimed at covering the entire cycle of an epidemic emergency, encompassing the following: prevention and preparedness, outbreak early detection, surveillance and response, recovery, rehabilitation, mitigation, etc. In the short-term, this group will collect effective ways and cases on AI and other digital technologies to combat COVID-19 at the above stages. In the future, this work could contribute to a general experience on the analytics and scenario setting as a continuous exercise during the emergency cycle feeding each stage and evolve towards a more generalizable mechanism on the health emergency continuum, eventually applicable to other pandemics.
Specific issues Specific issues Targeted to COVID-19: With the urgency on fighting against COVID-19 worldwide, this ad-hoc WG focuses on the COVID-19 pandemic. No conflicts with TG-Outbreak nor with TG-Symptom: The TG-Outbreak focuses on AI solutions on early detection of outbreaks, and this group plans to cover the many stages of epidemic emergency. TG-Symptom focuses on AI solutions to identify possible pathologies based on syndromic description by patients. This ad-hoc WG will collaborate, reuse and share mid or final outputs with the applicable FG-AI4H TGs. Further research in the future: Collection and collaboration on COVID-19 digital cases are not the only activities of this ad-hoc WG. Further research such as risk assessment, monitoring and evaluation, analytics and scenario setting as a continuous exercise during the above emergency cycle will be conducted. We expect a generalized experience extracted from this COVID-19 work, eventually applicable to other health emergencies.
Lessons learned to inform change: systematizing findings, feeding to policy changes Facilitating movement restrictions: food and medication delivery, medical follow up, teleworking, home schooling etc. New ways of living: technologies that will facilitate social distancing while allowing to continue with work and personal life Prevention Recovery and rehabilitation Preparedness Movement restrictions/ control/ lifting of measures: Contact tracing, facial recognition, PEPP-PT etc. ethics TG Symptoms: global syndromic surveillance data availability Mitigation Surveillance AI Laboratory: improving testing bottlenecks (capacity, timeliness) at each stage TG Outbreaks: global monitoring of epi data, media monitoring ethics Early detection Early detection of cases: geolocation, movement, facial recognition etc. Containment Response Clinical diagnostics: speeding triag, diagnostic and treatment techniques (imaging, clinical algorithms) Analytics: capacity to assess the risk at local, national and international levels (data needs on mobility to quantify possible spread )
Existing work Existing work CAICT (China) best practice reports on digital health cases in the prevention and control of COVID-19 in China: with more 200 digital cases were collected (AI, 5G, Internet, IoT, Virtual hospital, etc.), and the series of reports(V1, V2, V3, V4, EN) started in Jan 2020 is regularly updated. CAICT s digital health demand and supply platform: Over 500 companies and enterprises are engaged and published their digital products and solutions on epidemic prevention and control. This platform is now supporting NHC on international supplies supporting for countries. Technologies for digital contact tracing are being used to monitor how efficiently social distancing measures are being applied across cities/countries. Different techniques have been explored and tools (such as apps) developed, e.g. Google or Waze metadata, Fitbit, Bluetooth and different social media platforms metada, covidApp etc. General concerns include privacy and confidentiality of data, which can be a factor in adoption. Some estimates indicate that digital contact tracing, to be effective, would require adoptions of 60% or more within a monitored population.
Deliverables Deliverables Nurture the creation of a network of experts that can be a reference group for addressing the use of AI and other digital technologies for tackling health emergencies such as the COVID-19 pandemic. Develop a collection of best practice or case collection that can be referenced globally that leverage AI and other digital technologies in combating COVID-19, build suitable mechanisms on sharing these experiences. Reports on risk assessment, monitoring & evaluation of different digital interventions on COVID-19. Develop a framework to cover the entire cycle of an epidemic emergency and provide guidance on digital interventions feeding each stage. Provide, as appropriate and upon request, input to WHO development processes for guidelines on the use of AI and other digital technologies for tacking health emergencies. Providing guidance for public health considerations on the use of AI and other digital technologies for tackling health emergencies. Other possible collaboration output within the network (e.g. With Ethics, with Outbreak, with Symptoms, with Xray solutions etc.)
Representations and interactions Representations and interactions Chairs and experts of FG-AI4H WG and TG members with relevant expertise and interest ITU and WHO experts G20 and other international mechanisms Workshops to include participants from government agencies, academic institutions, NGOs and National Health Committees Participants in this ad-hoc WG will follow the procedure in Document FG-AI4H-F-105. FG-AI4H F-105 (Zanzibar, September 2019)), ToRs for the WG-Experts and call for experts and Annex A, Application form; Conflict of interest form
Thank you! Any question or suggestion?
