At TED, InSTEDD spoke about what has happened since Larry Brilliant's original TED prize with in 2006. You can catch up on the video here: http://www.youtube.com/watch?v=MNhiHf84P9c&p=10B65227B128E216&playnext=1&index=1
IT is playing a key role in tackling the COVID-19 pandemic through various technologies:
1. Remote health monitoring, telemedicine, and chatbots allow virtual doctor visits and patient engagement while maintaining social distancing.
2. AI and machine learning are used to track, monitor, and predict the spread of the virus through tools like contact tracing apps and analysis of medical images and data.
3. Digital technologies help distribute reliable health information and ease anxiety through online wellness apps.
Leach lemens 2009-using mobile phones in hiv care and preventionInSTEDD
Mobile phones are being used increasingly in HIV care and prevention in developing countries. Three examples are:
1) Cell-Life in South Africa uses mobile phones to support treatment adherence, send health messages, and help community health workers monitor patients remotely. Initial results found this improved quality of care.
2) Project Masiluleke sends over 1 million text messages per day encouraging HIV/TB testing. Calls to testing hotlines tripled after message campaigns.
3) UHIN in Uganda gives health workers smartphones to file reports, access training, and consult specialists remotely, increasing efficiency.
Remixing Public Health: Tools for Public Health InnovationJody Ranck
This document discusses how social media and new technologies can be leveraged for public health goals. It argues that public health approaches need to shift from top-down models to more collaborative models that engage citizens and different sectors. The document outlines various social media tools and platforms that can be used for content creation, collaboration, community-building, and collective action. It provides examples of how these tools have been used for issues like citizen journalism, crisis response, and open data initiatives.
Webinar: Innovations in Mobile Health: Highlights and Future DirectionsHHS Digital
Mobile health (mHealth) refers to the use of mobile technologies like mobile phones and tablets for health services and information access. The document summarizes key mHealth activities within the US Department of Health and Human Services (HHS), including the formation of text messaging and mobile application task forces. It provides examples of HHS-supported mHealth tools like health texting programs and mobile apps. The document also discusses important issues for future mHealth development such as defining mHealth, scaling successful pilots, regulation, privacy, and funding mechanisms.
Helping Your Patients Make Sense of the mHealth MarketplaceKevin Clauson
This document outlines the mobile health (mHealth) marketplace and patient-centric apps. It discusses how apps can enhance patient self-care and medication adherence. It also delineates approaches for guiding patients to mHealth apps and tools. The mHealth app market largely remains "buyer beware" with FDA regulation pending. Current evidence is stronger for texting than apps in improving outcomes, but many studies are underway. mHealth offers opportunities to improve patient engagement, activation, and health.
Cloud Computing: A Key to Effective & Efficient Disease Surveillance Systemidescitation
Cloud computing, a future generation concept
characterized by three entities: Software, hardware &
network designed to enhance the capacity building
simultaneously increasing the throughput by extending the
reach for any system without having heavy investment of
infrastructure and training new personnel. It is becoming
a major building block for any sort of businesses across the
globe. This paper likes to propose a cloud as a solution for
having an effective disease surveillance system. Till now,
multiple surveillance systems come into play but still they
lack sensitivity, specificity & timeliness.
IT is playing a key role in tackling the COVID-19 pandemic through various technologies:
1. Remote health monitoring, telemedicine, and chatbots allow virtual doctor visits and patient engagement while maintaining social distancing.
2. AI and machine learning are used to track, monitor, and predict the spread of the virus through tools like contact tracing apps and analysis of medical images and data.
3. Digital technologies help distribute reliable health information and ease anxiety through online wellness apps.
Leach lemens 2009-using mobile phones in hiv care and preventionInSTEDD
Mobile phones are being used increasingly in HIV care and prevention in developing countries. Three examples are:
1) Cell-Life in South Africa uses mobile phones to support treatment adherence, send health messages, and help community health workers monitor patients remotely. Initial results found this improved quality of care.
2) Project Masiluleke sends over 1 million text messages per day encouraging HIV/TB testing. Calls to testing hotlines tripled after message campaigns.
3) UHIN in Uganda gives health workers smartphones to file reports, access training, and consult specialists remotely, increasing efficiency.
Remixing Public Health: Tools for Public Health InnovationJody Ranck
This document discusses how social media and new technologies can be leveraged for public health goals. It argues that public health approaches need to shift from top-down models to more collaborative models that engage citizens and different sectors. The document outlines various social media tools and platforms that can be used for content creation, collaboration, community-building, and collective action. It provides examples of how these tools have been used for issues like citizen journalism, crisis response, and open data initiatives.
Webinar: Innovations in Mobile Health: Highlights and Future DirectionsHHS Digital
Mobile health (mHealth) refers to the use of mobile technologies like mobile phones and tablets for health services and information access. The document summarizes key mHealth activities within the US Department of Health and Human Services (HHS), including the formation of text messaging and mobile application task forces. It provides examples of HHS-supported mHealth tools like health texting programs and mobile apps. The document also discusses important issues for future mHealth development such as defining mHealth, scaling successful pilots, regulation, privacy, and funding mechanisms.
Helping Your Patients Make Sense of the mHealth MarketplaceKevin Clauson
This document outlines the mobile health (mHealth) marketplace and patient-centric apps. It discusses how apps can enhance patient self-care and medication adherence. It also delineates approaches for guiding patients to mHealth apps and tools. The mHealth app market largely remains "buyer beware" with FDA regulation pending. Current evidence is stronger for texting than apps in improving outcomes, but many studies are underway. mHealth offers opportunities to improve patient engagement, activation, and health.
Cloud Computing: A Key to Effective & Efficient Disease Surveillance Systemidescitation
Cloud computing, a future generation concept
characterized by three entities: Software, hardware &
network designed to enhance the capacity building
simultaneously increasing the throughput by extending the
reach for any system without having heavy investment of
infrastructure and training new personnel. It is becoming
a major building block for any sort of businesses across the
globe. This paper likes to propose a cloud as a solution for
having an effective disease surveillance system. Till now,
multiple surveillance systems come into play but still they
lack sensitivity, specificity & timeliness.
Will healthcare be delivered by george jetson in the futureNick van Terheyden
The document discusses how technology will transform healthcare delivery in the future. It describes how data science, sensors, genomics, robotics, and digital connectivity will generate massive amounts of medical and personal health data. This data deluge will drive more personalized, predictive, and preventative forms of care that are delivered both in medical facilities and at home. However, it also notes the challenges of how healthcare providers and patients can effectively manage and utilize all of this new information.
Artificial intelligence applications for covid 19SABARINATH C D
This document discusses applications of artificial intelligence (AI) for combating the COVID-19 pandemic. It outlines six areas where AI can contribute: early warnings and alerts, tracking and prediction of spread, data dashboards, diagnosis and prognosis, treatments and cures, and social control measures. Examples are given of AI models that provided early warnings of the COVID-19 outbreak. AI is also being used to track and predict pandemic spread, create data dashboards, and help with diagnosis from medical images. Researchers hope AI can assist with drug and vaccine development as well as enforcing social distancing through technologies like thermal cameras. However, the document notes that a lack of quality training data currently constrains AI's role in epidemiology, diagnosis and
Shared By The Many: Advances in technology are allowing for the provision of affordable, decentralized healthcare for the masses and are lowering the barriers to entry in less developed markets.
The analysis in PSFK’s Future of Health Report has yielded a number of insights, the most evident of which is mobile technology as a catalyst for change. The mobile phone and connected tablet computer are allowing for the distribution of a broad range of medical and support services. This is especially important in countries with little or no healthcare infrastructure and areas in which there are few trained healthcare professionals. These technologies also allow trained professionals to perform quality control remotely.
Amongst the many significant developments is a shift towards one-on-one, in- field diagnostics and monitoring. Services that were once only available at a doctor’s office or hospital are now available on-demand through low-tech, affordable solutions. Personal systems allow for ‘good enough’ diagnostics that would have been difficult, expensive and timely to attain previously.
Using a basic phone with adapted software, a health worker can test for myriad symptoms - even cancer. This information can be relayed to a central medical care center where doctors and trained professionals can react to the data, provide prompt diagnosis and suggest treatment options. The ability to capture this data and get quick responses remotely means better healthcare, fewer trips to the hospital (which, for many means days away from home and family), and less time away from work.
A change is also occurring that is seeing increased access to and sharing of health information. This is made possible by the proliferation of systems designed to overcome infrastructure insufficiencies. these systems are enabling the broadcast of information and receipt of subsequent feedback in virtually any setting. From ‘town crier’ systems to ‘internet by text’, the collective knowledge found on the web is being made available to populations around the world who previously lacked access. The connectivity that is enabling the sharing of health information is also powering the growth of social networks focused on health and medical care. These networks are allowing professionals, health workers and individuals to connect and share knowledge quickly.
PSFK’s Future of Health Report details 15 trends that will impact health and wellness around the world. Simple advances such as off-the-grid energy and the introduction of gaming into healthcare service offerings sit alongside more future-forward developments such as bio-medical printing. It is our hope that this report will inspire your thinking and lead to services, applications and technologies which will allow for more available, quality healthcare.
For a download of this report - visit: http://www.psfk.com/future-of-health
This document discusses mobile health (mHealth) apps for pharmacy use. It defines mHealth and reviews the most useful pharmacy apps, including drug references, calculators, and patient education apps. Key apps mentioned are Epocrates Rx, Lexicomp, MedCalc, and Micromedex. The document also discusses how mHealth apps can help deliver services, engage patients, and extend the pharmacy's role. Images are provided showing various mobile device and app interfaces.
The document summarizes the launch of the Center for Consumer Health Informatics Research (CCHIR) at Nova Southeastern University College of Pharmacy. The goals of CCHIR are to conduct research in consumer health informatics, educate students and the public, and provide training and services. Current and planned research studies focus on areas like mobile health, social media, medicines information, and public health informatics. The center aims to advance the use of technology and information to help consumers manage their health.
Promise and peril: How artificial intelligence is transforming health careΔρ. Γιώργος K. Κασάπης
AI has enormous potential to improve the quality of health care, enable early diagnosis of diseases, and reduce costs. But if implemented incautiously, AI can exacerbate health disparities, endanger patient privacy, and perpetuate bias. STAT, with support from the Commonwealth Fund, explored these possibilities and pitfalls during the past year and a half, illuminating best practices while identifying concerns and regulatory gaps. This report includes many of the articles we published and summarizes our findings, as well as recommendations we heard from caregivers, health care executives, academic experts, patient advocates, and others.
This document discusses the use of messaging apps like WhatsApp in radiology. It notes that while messaging apps allow for quick sharing of images and information, using unsecure apps like WhatsApp to share patient medical information poses privacy and compliance risks. The document reviews surveys finding increasing use of messaging apps by doctors, outlines legal and ethical concerns around privacy and security, and discusses the GDPR and HIPAA compliance of WhatsApp. It concludes by advocating for the use of secure, dedicated medical messaging apps that comply with regulations and protect patient information.
AI and covid19 | Mr. R. Rajkumar, Assistant Professor, Department of CSERajkumar R
SRM Institute of Science and Technology Directorate of Research presents Webinars on various domains. This is the slide presented by Mr. R. Rajkumar, Assistant Professor, Department of CSE,
ICT Developments in Mobile Technology for Global Public Health: InSTEDD Colla...Taha Kass-Hout, MD, MS
ICT Developments in Mobile Technology for Global Public Health: InSTEDD Collaboration Tools. Mekong Basin Disease Surveillance (MBDS) Information Communication and Technology Forum, April 2nd–3rd, 2009, Mukdahan Province, Thailand
Telemedicine shows promise for improving emergency response during trauma, disasters and other chaotic situations. It allows remote experts to assist on-site healthcare providers in real-time. Studies have demonstrated its safety and cost-effectiveness. However, telemedicine is still vastly underutilized for these situations due to lack of infrastructure, policies, protocols and standards. Ongoing work is being done to establish these frameworks and continue demonstrating telemedicine's ability to save lives in extreme conditions around the world. With further development, telemedicine could transform emergency response for both rural and disaster settings.
Tools for Outbreak Epidemiology: Presentation prepared for the 2nd international conference on Global Health Applications of Handheld Computing Devices in Atlanta, Georgia, USA on Nov 24-25, 2008
The document discusses tools created by InSTEDD to improve collaboration during disease outbreaks and crises. It describes four free and open-source tools - GeoChat for mobile reporting, Mesh4x for synchronizing data across devices and networks, Riff for collaborative analysis and decision making, and TrackerNews for event monitoring. It provides examples of how the tools could help coordinate response to a reported illness and allows different organizations to share information.
Collaboration Technology for Public Health and Humanitarian Action and Global...Taha Kass-Hout, MD, MS
CDC Focus On Users: Underserved Populations March 2-3, 2009...
Co-sponsored CDC's National Center for Health Marketing, the U.S. Department of Health and Human Services, Georgia State University Department of Communication, the Pew Internet & American Life Project, and the National Public Health Information Coalition.
The information technology played an important role in information
and knowledge dissemination in the last decade. The usage of IT to
transfer information and knowledge in the animal health care domain
using expert systems is one of the areas investigated by many
institutions. The current era is witnessing a vast development in all
fields of animal health care. Therefore there is a need for an
unconventional method to transfer the knowledge of experts in this
domain to the general public of livestock holders, especially that the
number of experts in new technologies is lesser than their demand in a
certain domain. The transfer of knowledge from veterinary consultants
& scientists to livestock holders represents a bottleneck for the
development of animal health care in any country. Expert systems are
simply computer software programs that mimic the behaviour of human
experts. They are one of the successful applications of the Artificial
Intelligence field, a branch in Computer Science that investigates how
to make the machine think like human or do tasks that humans do.
Expert Systems are very helpful to ensure an effective and nationally
coordinated approach in response to emergency incidents and in routine
bio-security activities. Such systems enable better management of the
information and resources used to manage animal’s diseases and
emergency responses to incursions.
Integrated Global Early Warning and Response SystemInSTEDD
The document discusses an integrated global early warning and response system for infectious disease events using a hybrid human-machine approach. It provides an overview of the system's architecture, which uses multiple data streams and collaborative spaces to detect and monitor events in near real-time. As an example, it summarizes the system's monitoring of infectious disease reports in Southeast Asia from 2008 to 2009, including tracking the 2009 H1N1 influenza pandemic.
InSTEDD's Experience in Southeast Asia & Opportunities for AfricaInSTEDD
Key Learnings:
- Strengthen the government’s role in health
- Sustainability through capacity building
- Strengthen the existing networks
- Partner with national tech and telcos
- Up/Down/Horizontal communications
- Simplify tracking and sharing progress, data
The document discusses collaboration in disease surveillance and response. It describes InSTEDD's hybrid approach to disease surveillance which combines various data sources to identify health risks. It also discusses tools developed by InSTEDD like GeoChat and Mesh4x that enable real-time information sharing and collaboration between organizations responding to disease outbreaks. The document emphasizes that collaboration is critical for effective outbreak containment and humanitarian response.
InSTEDD: Collaboration in Disease Surveillance & ResponseInSTEDD
The document discusses collaboration in disease surveillance and response. It describes InSTEDD's hybrid approach to disease surveillance which combines various data sources to identify health risks. It also discusses tools developed by InSTEDD like GeoChat and Mesh4x that enable real-time information sharing and collaboration between organizations responding to disease outbreaks. The document emphasizes that collaboration is critical for effective outbreak containment and humanitarian response.
Will healthcare be delivered by george jetson in the futureNick van Terheyden
The document discusses how technology will transform healthcare delivery in the future. It describes how data science, sensors, genomics, robotics, and digital connectivity will generate massive amounts of medical and personal health data. This data deluge will drive more personalized, predictive, and preventative forms of care that are delivered both in medical facilities and at home. However, it also notes the challenges of how healthcare providers and patients can effectively manage and utilize all of this new information.
Artificial intelligence applications for covid 19SABARINATH C D
This document discusses applications of artificial intelligence (AI) for combating the COVID-19 pandemic. It outlines six areas where AI can contribute: early warnings and alerts, tracking and prediction of spread, data dashboards, diagnosis and prognosis, treatments and cures, and social control measures. Examples are given of AI models that provided early warnings of the COVID-19 outbreak. AI is also being used to track and predict pandemic spread, create data dashboards, and help with diagnosis from medical images. Researchers hope AI can assist with drug and vaccine development as well as enforcing social distancing through technologies like thermal cameras. However, the document notes that a lack of quality training data currently constrains AI's role in epidemiology, diagnosis and
Shared By The Many: Advances in technology are allowing for the provision of affordable, decentralized healthcare for the masses and are lowering the barriers to entry in less developed markets.
The analysis in PSFK’s Future of Health Report has yielded a number of insights, the most evident of which is mobile technology as a catalyst for change. The mobile phone and connected tablet computer are allowing for the distribution of a broad range of medical and support services. This is especially important in countries with little or no healthcare infrastructure and areas in which there are few trained healthcare professionals. These technologies also allow trained professionals to perform quality control remotely.
Amongst the many significant developments is a shift towards one-on-one, in- field diagnostics and monitoring. Services that were once only available at a doctor’s office or hospital are now available on-demand through low-tech, affordable solutions. Personal systems allow for ‘good enough’ diagnostics that would have been difficult, expensive and timely to attain previously.
Using a basic phone with adapted software, a health worker can test for myriad symptoms - even cancer. This information can be relayed to a central medical care center where doctors and trained professionals can react to the data, provide prompt diagnosis and suggest treatment options. The ability to capture this data and get quick responses remotely means better healthcare, fewer trips to the hospital (which, for many means days away from home and family), and less time away from work.
A change is also occurring that is seeing increased access to and sharing of health information. This is made possible by the proliferation of systems designed to overcome infrastructure insufficiencies. these systems are enabling the broadcast of information and receipt of subsequent feedback in virtually any setting. From ‘town crier’ systems to ‘internet by text’, the collective knowledge found on the web is being made available to populations around the world who previously lacked access. The connectivity that is enabling the sharing of health information is also powering the growth of social networks focused on health and medical care. These networks are allowing professionals, health workers and individuals to connect and share knowledge quickly.
PSFK’s Future of Health Report details 15 trends that will impact health and wellness around the world. Simple advances such as off-the-grid energy and the introduction of gaming into healthcare service offerings sit alongside more future-forward developments such as bio-medical printing. It is our hope that this report will inspire your thinking and lead to services, applications and technologies which will allow for more available, quality healthcare.
For a download of this report - visit: http://www.psfk.com/future-of-health
This document discusses mobile health (mHealth) apps for pharmacy use. It defines mHealth and reviews the most useful pharmacy apps, including drug references, calculators, and patient education apps. Key apps mentioned are Epocrates Rx, Lexicomp, MedCalc, and Micromedex. The document also discusses how mHealth apps can help deliver services, engage patients, and extend the pharmacy's role. Images are provided showing various mobile device and app interfaces.
The document summarizes the launch of the Center for Consumer Health Informatics Research (CCHIR) at Nova Southeastern University College of Pharmacy. The goals of CCHIR are to conduct research in consumer health informatics, educate students and the public, and provide training and services. Current and planned research studies focus on areas like mobile health, social media, medicines information, and public health informatics. The center aims to advance the use of technology and information to help consumers manage their health.
Promise and peril: How artificial intelligence is transforming health careΔρ. Γιώργος K. Κασάπης
AI has enormous potential to improve the quality of health care, enable early diagnosis of diseases, and reduce costs. But if implemented incautiously, AI can exacerbate health disparities, endanger patient privacy, and perpetuate bias. STAT, with support from the Commonwealth Fund, explored these possibilities and pitfalls during the past year and a half, illuminating best practices while identifying concerns and regulatory gaps. This report includes many of the articles we published and summarizes our findings, as well as recommendations we heard from caregivers, health care executives, academic experts, patient advocates, and others.
This document discusses the use of messaging apps like WhatsApp in radiology. It notes that while messaging apps allow for quick sharing of images and information, using unsecure apps like WhatsApp to share patient medical information poses privacy and compliance risks. The document reviews surveys finding increasing use of messaging apps by doctors, outlines legal and ethical concerns around privacy and security, and discusses the GDPR and HIPAA compliance of WhatsApp. It concludes by advocating for the use of secure, dedicated medical messaging apps that comply with regulations and protect patient information.
AI and covid19 | Mr. R. Rajkumar, Assistant Professor, Department of CSERajkumar R
SRM Institute of Science and Technology Directorate of Research presents Webinars on various domains. This is the slide presented by Mr. R. Rajkumar, Assistant Professor, Department of CSE,
ICT Developments in Mobile Technology for Global Public Health: InSTEDD Colla...Taha Kass-Hout, MD, MS
ICT Developments in Mobile Technology for Global Public Health: InSTEDD Collaboration Tools. Mekong Basin Disease Surveillance (MBDS) Information Communication and Technology Forum, April 2nd–3rd, 2009, Mukdahan Province, Thailand
Telemedicine shows promise for improving emergency response during trauma, disasters and other chaotic situations. It allows remote experts to assist on-site healthcare providers in real-time. Studies have demonstrated its safety and cost-effectiveness. However, telemedicine is still vastly underutilized for these situations due to lack of infrastructure, policies, protocols and standards. Ongoing work is being done to establish these frameworks and continue demonstrating telemedicine's ability to save lives in extreme conditions around the world. With further development, telemedicine could transform emergency response for both rural and disaster settings.
Tools for Outbreak Epidemiology: Presentation prepared for the 2nd international conference on Global Health Applications of Handheld Computing Devices in Atlanta, Georgia, USA on Nov 24-25, 2008
The document discusses tools created by InSTEDD to improve collaboration during disease outbreaks and crises. It describes four free and open-source tools - GeoChat for mobile reporting, Mesh4x for synchronizing data across devices and networks, Riff for collaborative analysis and decision making, and TrackerNews for event monitoring. It provides examples of how the tools could help coordinate response to a reported illness and allows different organizations to share information.
Collaboration Technology for Public Health and Humanitarian Action and Global...Taha Kass-Hout, MD, MS
CDC Focus On Users: Underserved Populations March 2-3, 2009...
Co-sponsored CDC's National Center for Health Marketing, the U.S. Department of Health and Human Services, Georgia State University Department of Communication, the Pew Internet & American Life Project, and the National Public Health Information Coalition.
The information technology played an important role in information
and knowledge dissemination in the last decade. The usage of IT to
transfer information and knowledge in the animal health care domain
using expert systems is one of the areas investigated by many
institutions. The current era is witnessing a vast development in all
fields of animal health care. Therefore there is a need for an
unconventional method to transfer the knowledge of experts in this
domain to the general public of livestock holders, especially that the
number of experts in new technologies is lesser than their demand in a
certain domain. The transfer of knowledge from veterinary consultants
& scientists to livestock holders represents a bottleneck for the
development of animal health care in any country. Expert systems are
simply computer software programs that mimic the behaviour of human
experts. They are one of the successful applications of the Artificial
Intelligence field, a branch in Computer Science that investigates how
to make the machine think like human or do tasks that humans do.
Expert Systems are very helpful to ensure an effective and nationally
coordinated approach in response to emergency incidents and in routine
bio-security activities. Such systems enable better management of the
information and resources used to manage animal’s diseases and
emergency responses to incursions.
Integrated Global Early Warning and Response SystemInSTEDD
The document discusses an integrated global early warning and response system for infectious disease events using a hybrid human-machine approach. It provides an overview of the system's architecture, which uses multiple data streams and collaborative spaces to detect and monitor events in near real-time. As an example, it summarizes the system's monitoring of infectious disease reports in Southeast Asia from 2008 to 2009, including tracking the 2009 H1N1 influenza pandemic.
InSTEDD's Experience in Southeast Asia & Opportunities for AfricaInSTEDD
Key Learnings:
- Strengthen the government’s role in health
- Sustainability through capacity building
- Strengthen the existing networks
- Partner with national tech and telcos
- Up/Down/Horizontal communications
- Simplify tracking and sharing progress, data
The document discusses collaboration in disease surveillance and response. It describes InSTEDD's hybrid approach to disease surveillance which combines various data sources to identify health risks. It also discusses tools developed by InSTEDD like GeoChat and Mesh4x that enable real-time information sharing and collaboration between organizations responding to disease outbreaks. The document emphasizes that collaboration is critical for effective outbreak containment and humanitarian response.
InSTEDD: Collaboration in Disease Surveillance & ResponseInSTEDD
The document discusses collaboration in disease surveillance and response. It describes InSTEDD's hybrid approach to disease surveillance which combines various data sources to identify health risks. It also discusses tools developed by InSTEDD like GeoChat and Mesh4x that enable real-time information sharing and collaboration between organizations responding to disease outbreaks. The document emphasizes that collaboration is critical for effective outbreak containment and humanitarian response.
The Future of mHealth - Jay Srini - March 2011LifeWIRE Corp
Jay Srini's presentation of her take on the Future of mHealth, presented at the 3rd mHealth Networking Conference, March 30, 2011. Aside from being one of the preeminent thought leader in the area of innovation and mhealth, she holds a number of positions including Assistant Professor at the University of Pittsburgh and CIO for LifeWIRE Corp.
Innovative and Pragmatic eHealth Solutions at Work: Mekong RegionInSTEDD
InSTEDD is a non-profit organization that works to improve global health, safety, and sustainable development through building local capacity, collaboration technologies, and ensuring usefulness. They develop open-source tools like GeoChat, the Reporting Wheel, and Resource Mapping to help communities detect disease outbreaks, report healthcare data, and track resources. Their goal is to empower communities to design their own sustainable solutions through participatory technology development.
Kno.e.sis Approach to Impactful Research & Training for Exceptional CareersAmit Sheth
Abstract
Kno.e.sis (http://knoesis.org) is a world-class research center that uses semantic, cognitive, and perceptual computing for gathering insights from physical/IoT, cyber/Web, and social and enterprise (e.g., clinical) big data. We innovate and employ semantic web, machine learning, NLP/IR, data mining, network science and highly scalable computing techniques. Our highly interdisciplinary research impacts health and clinical applications, biomedical and translational research, epidemiology, cognitive science, social good, policy, development, etc. A majority of our $12+ million in active funds come from the NSF and NIH. In this talk, I will provide an overview of some of our major research projects.
Kno.e.sis is highly successful in its primary mission of exceptional student outcomes: our students have exceptional publication and real-world impact and our PhDs compete with their counterparts from top 10 schools for initial jobs in research universities, top industry research labs, and highly competitive companies. A key reason for Kno.e.sis' success is its unique work culture involving teamwork to solve complex problems. Practically all our work involves real-world challenges, real-world data, interdisciplinary collaborators, path-breaking research to solve challenges, real-world deployments, real-world use, and measurable real-world impact.
In this talk, I will also seek to discuss our choice of research topics and our unique ecosystem that prepares our students for exceptional careers.
Adaptive governance - global networks (Victor Galaz)Victor Galaz
Victor Galaz discusses how global networks and collective intelligence are reshaping governance. Mass self-communication and information technology enable supernetworks and collective problem solving. Examples include early warning systems for disease outbreaks, which rely on informal collaboration between organizations like WHO, MSF, and laboratories. While coordination is not centralized, networks facilitate information sharing and distributed responses. Formal institutions continue to be important but are complemented by flexible polycentric governance involving both state and non-state actors.
Extending Health Care Services to Rural Communities in West AfricaOLOYEDE Abdulkarim
This presentation is targeted at Policymakers and mobile operators in developing countries. The aim of the presentation is to show how mobile phone network can be used to improve healthcare delivery in Rural communities
Dr Gupta spoke at the Indo-French dialogue on Telemedicine in Healthcare — with Christophe Saint Martin, Dr K Ganapathy, Vijay Agarwal and Shobha Mishra Ghosh.
http://www.ambafrance-in.org/Indo-French-dialogue-on
Short summary of the background behind the evolution of Hungarian e-Health startup landscape. First I highlighted a fact than show a startup example. Also at the end there is the Debrecen (Hungary's second biggest city) example of a working startup ecosystem.
The document discusses 10 principles for improving healthcare systems in the future: 1) Focus on value, 2) Engage patients as co-producers, 3) Focus on the whole population, 4) Design integrated systems and networks, 5) Manage knowledge carefully, 6) Exploit technology, 7) Create the right culture, 8) Master healthcare language, 9) Absorb others' wisdom, and 10) Focus on sustainability. It emphasizes moving beyond traditional models to address rising costs, needs and environmental challenges through a patient-centered, collaborative approach.
The new Pandemic Preparedness Citizen's Guide, edited by Sarah Booth, Kelsey Hills-Evans & Scott Teesdale to incorporate information around the recent COVID-19 pandemic.
Disease Reporting Hotline Launches to Stop Outbreaks in Cambodia InSTEDD
To improve disease reporting in Cambodia, the iLab Southeast Asia, in partnership with the Cambodian CDC and Skoll Global Threats Fund, launched a free to the public disease hotline built with InSTEDD's interactive voice response tool, Verboice.
Cambodia is in a 'hot zone region', susceptible to deadly disease spread. Timely reports from Health Centers across the country are critical to stopping outbreaks.
At the Epihack Rio event, public health experts and technologists worked together to prototype new solutions to prevent disease spread. Over the course of the event, participants engaged in discussions to identify priority issues, formed cross-disciplinary teams, and worked intensely to develop mobile applications and data visualization tools to support health monitoring and reporting, especially around mass gatherings like the Olympics. The prototypes were presented at the end to seek feedback on their potential real-world applications.
This document discusses mHealth (mobile health) technologies and their implementation in Cambodia and other countries. It provides examples of mHealth projects that use SMS, voice calls, and smartphone apps to facilitate: (1) routine infectious disease reporting from health centers; (2) grassroots malaria case reporting and referral of patients; (3) inventory alerts of malaria drug stocks; (4) reproductive health services and education for families; and (5) health information and services for garment factory workers, new mothers, and diabetics. The document emphasizes using simple mobile technologies to enhance information sharing and improve health services for communities with limited Internet access or literacy.
This document proposes a new system to improve wildlife sickness reporting in three main ways:
1. It would provide rangers with an easier, faster mobile reporting method through a short online form or phone hotline to submit data like the species, number of sick/dead animals, location, and photos in real-time.
2. All reports would be collected in a unified, online database displayed on an interactive map for officials to quickly detect abnormal patterns or potential outbreaks and take immediate action.
3. The system would also include configurable SMS alerts to notify Ministry officials of unusual case counts in real-time for better monitoring of wildlife health trends connected to public health systems.
This document discusses the development of a participatory animal health surveillance system in Chiang Mai, Thailand. The system aims to improve surveillance by engaging more people, including farmers, villagers, and consumers. It plans to use smartphones and voice calls to collect reports of abnormal animal situations and product issues. The collected data will then be visualized on a map to help locate farms, markets, and slaughterhouses. The system also seeks to better register all animal farms and provide online education about animal health and food safety to the public. An initial demonstration of the solution's design was presented.
Mobile technologies landscape and opportunity for civil society organizations...InSTEDD
Channe talks about how mobile technologies can help Civil Society Organizations (CSOs) do more with less. Channe will tackle practical issues like how to get started and their process of design and implementation. Channe will walk you through several exciting projects, including mobile technologies in labor rights and health care and the use of mobile phone as a data collection tool.
When: 3:30 - 5:00pm. Friday 7th February 2014
Where: Himawari Hotel, Phnom Penh
Organized by: Development Innovations
https://www.eventbrite.com/e/mobile-technologies-landscape-and-opportunity-for-csos-in-cambodia-tickets-10444502789
Routine infectious disease reporting using SMS at Kean Svay operational distr...InSTEDD
This document discusses a project in Southeast Asia that developed technology tools to improve infectious disease reporting from health centers to operational districts. The tools aimed to enhance collaboration and information sharing. Previously, health centers reported diseases via radio, phone calls, or paper which caused delays. The new system allowed health centers to send weekly SMS reports on 12 diseases using standardized codes. This enabled earlier detection and response to outbreaks. The SMS system launched in 2010 and was later improved in 2011 with the addition of a reporting wheel to simplify coding. By 2012 an online application was created to aggregate reporting data.
Verboice - Voice based platform and impact to grassroots CambodiaInSTEDD
Verboice is a voice-based platform that uses open source technology to help partners improve information sharing and service delivery in their communities. It has been used successfully in projects in over 15 countries. Examples of projects using Verboice in Cambodia include a phone-based contraception support system for Marie Stopes clinics, a national election hotline providing basic election information, and an interactive phone quiz for garment factory workers on issues like salaries and health. The document discusses Verboice and its impact on empowering grassroots organizations in Cambodia through technology.
The iLab Southeast Asia presented at BarCamp Phnom Penh 2012 on how to use Google's Map Maker application. The iLab SEA team trained participants on how to add and edit locations, draw streets, rivers, and other important landmarks on the Google map.
"Technology with a Purpose" - Eduardo Jezierski speaks at Ignite Health Foo 2...InSTEDD
This document discusses various projects and initiatives by InSTEDD including developing tools for collecting birth complication data in Sierra Leone, running innovation labs in Cambodia and elsewhere, using mobile tools like GeoChat to help health workers in Thailand during floods, and detecting and containing a leptospirosis outbreak faster through discussion on such tools. It also references principles of collective action, data as an extractive industry, the use of mobile information systems in Haiti after the earthquake, and launching high-altitude balloons to inspire new perspectives on Earth. Overall the document touches on InSTEDD's work using technology to help address global health challenges and promote positive change.
Mobile health (mHealth) technologies show promise for improving HIV treatment and prevention by allowing healthcare providers to remotely monitor patients and disseminate medical information. The authors review several mHealth initiatives that have increased access to HIV testing and treatment through the use of text messages, video observations, and other mobile platforms. If designed and implemented properly, mHealth could help reduce costs and expand care for HIV-positive individuals around the world.
With a worldwide penetration rate of over 85%, the mobile phone has become one of the most transformative tools in human history. As mobile communication technologies become less expensive, faster, and more accessible, the ability of people, communities and institutions to share information and knowledge will continue to skyrocket. Specifically for Global Health, the use of mobile communication and network technologies for delivery of health care (mHealth) holds great promise for the future. In low resource settings, community health workers (CHWs) provide a backbone for the delivery of health care services. Often isolated and without significant formal education or training, CHWs can be seen as key connectors between their communities and the formal health care system. In the hands of CHWs, mHealth tools may facilitate effective task shifting; by expanding the pool of human resources, increasing the productivity of health systems, and lowering the cost of services. The reported experience with mHealth suggest a wide range of opportunities exist to improve ease, speed, completeness and accuracy of the work of CHWs. The outcomes associated with these sort of new capabilities can be expected to result in ongoing improvements in performance on key national health indicators. The presentation will examine the state of the art and science-- by describing a systematic review of the literature and citing examples in action -- and provide recommendations focused on the design and development of mHealth tools for use by CHWs to strengthen Global Health interventions.
Speaker Bio:
Dennis M. Israelski, M.D
www.instedd.org/team
InSTEDD focuses on four key areas: maternal/child health, infectious diseases, emergency management, and local innovation/leadership. It uses a social-technical approach and human-centered design process to develop technology tools and solutions for health challenges. Examples of tools include GeoChat for collaboration, Remindem for messaging, and Resource Map for tracking resources geographically.
Presentation by Channe Suy of the iLab Southeast Asia speaking at TEDxPhnom Penh. To see the video of this presentation, please go here: http://instedd.org/blog/from-the-ted-prize-to-tedxphnom-penh/
This document discusses InSTEDD, an organization that aims to improve global health, safety, and sustainable development through creating collaboration technologies, collaborating with end users, building local capacity, and ensuring usefulness and impact. It provides examples of projects in countries like Haiti, Argentina, and Kenya. InSTEDD supports humanitarian organizations through understanding contexts, creating appropriate technologies, and building local capabilities. Its technology tools are open source, customizable, work on basic phones without internet or literacy requirements, and are low-cost.
RIO 2.0 was a demo alley event focused on building technologies for social impact. Dennis M. Israelski, the President and CEO of InSTEDD and a Clinical Professor of Medicine at Stanford University School of Medicine, presented on February 2, 2011 about InSTEDD's work on real time malaria reporting.
InSTEDD is a non-profit founded in 2006 that designs open source technology tools to help communities collaborate and share information to improve health, safety, and development. It works with governments, organizations, and communities around the world. InSTEDD Innovation Labs (iLabs) act as hubs for technology transfer, collaboration, and entrepreneurial innovation serving the public good in different regions.
The InSTEDD Toolkit provides a collection of open source tools to help improve collaboration, innovation, and resiliency. The tools include messaging applications, opinion and status collection, information extraction, task management, disease monitoring, and more. All tools are available for anyone to use and build upon to increase social impact. InSTEDD is actively involved with users to evolve the tools and maximize positive outcomes.
This document describes mHealth tools developed by InSTEDD to help prevent maternal-to-child transmission of HIV, including Remindem for sending reminders via text, Verboice for interactive voice messages, Resource Map for tracking health resources, and Pollit for conducting mobile surveys. The tools are designed to help improve adherence to treatment, identify available prevention and treatment resources, fight stigma, and engage communities.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
High performance Serverless Java on AWS- GoTo Amsterdam 2024Vadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
1. TED Wish Update: InSTEDD Eric Rasmussen, MD, MDM, FACP 2006 TED Wish CEO
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7. We’ve talked with a lot of people United Nations Humanitarian Information Symposium Geneva, November, 2007
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10. Laptop from LTC Susanna Roughton, RAMC Physician-Epidemiologist British Royal Army Az Zubair, Iraq - 2003 Our environments are harsh . Tough environments drive innovation.
11. Not just harsh. Also REALLY disconnected… Savanakhet village, Laos, 2008
14. Chickens. Domestic fowl are the carriers of H 5 N 1 avian influenza. 120 million chickens died or were slaughtered in Asia in early 2004 to halt the spread of that virus. There have now been tens of millions more culled through 2007. It hasn’t worked. 147 out of 418 tigers now have died in Thai zoos from bird flu. The Cambodian human case fatality rate is 100%
15. From the US National Intelligence Council Report, 2003 “ A global pandemic is the greatest single threat to the global economy… … and so to global security”
17. Hong Kong: A single person with SARS arriving in Toronto infected 483 people, killed 43, and cost Canada $763m.
18. Economic Impact of Recent Epidemics (12 listed, and all but one zoonotic) Avian Flu, EU $500m 1996 1997 1998 1999 2000 2001 2002 2003 $50bn $40bn $30bn $20bn $10bn Estimated costs BSE, UK $10-13bn Foot & Mouth Disease Taiwan, $5-8bn 1992 1993 1994 1995 Foot-and-Mouth Disease UK $30bn Avian Flu Asia, US, Canada $10bn (2004-now) 2004 BSE, US $3.5bn BSE, Canada $1.5bn Lyme disease US $2.5bn SARS China, Hong Kong, Singapore, Canada… $50bn+ Nipah, Malaysia $350-400m Swine Flu, Netherlands $2.3bn BSE, Japan 1.5bn
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20. If you don’t go, you don’t know. A core thought for us…
21. The airfield in Banda Aceh: Infectious bacteria in the mud “off the scale”
22. After the tsunami in Banda Aceh: A city leveled, and no way to communicate the needs
23. Collaboration, in outbreak containment and humanitarian action, is THE critical task
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25. California Urban Search and Rescue Task Force – 3 Collaboration Testing in the field
26. Thirsty? Here’s a firehose… Using agile design and early validation for linking people to help GeoBlogging SMS Geo-Chat Emergency Command Center GeoChat GeoForms
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28. Field Lab and Platform Synergy Learning at the edge, building for the future Emerging Requirements Component Integration Design Validation New Features & Services
43. Big project. Worthy goal. And there is a good start already underway.
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52. You must take responsibility for what you know. John F. Kennedy, 1962 Humanitarian Technology Review This doesn’t exist yet. We think it needs to. We’re looking for sponsors.
54. We’d love to tap the energy! See us at our display in the Simulcast Lounge www.InSTEDD.org
Editor's Notes
World Health Organization October 26, 2010
Ability to get results is a function of your skills and who and how you work with others Most people –the social network of TEDsters may be a unique outlier in this sense – get the most help in unexpected situations out of the extended network One of the things we hope to contribute with our directory ‘who’s doing what where’ is use this fact and Help the health and disaster response communities Which is highly geographically mobile, and help them Be more effective and efficient by tightening their social network by location <<give example of someone arriving in SE asia or tsunami – looking for folks based on skills and finding ‘contact of a contact’, and requesting introductions.
Discuss newfluwiki2.com” they do maps by hand and excel spreadsheets Potential Tags should include: I. one is at diary level - just to know which are the diaries devoted to news: the diaries tagged with &quot;news&quot;? II. and then there could be internal tagging as in &quot;**new case**&quot; III. we can have human correct the info on the map Types of Applicable Technologies Geospatial Visualization Biosurveillance Disease Spread Modeling Predictive (and Risk) Modeling Natural Language Processing Resource Allocation and Supply Chain Management Outbreak Management Mass Collaboration Situation Awareness and Decision Support