Intelligent system of immediate deployment of units of alert, surveillance and analysis of pests and pandemics (Coronavirus: COVID-19, SARS, etc).
The
current coronavirus pandemic and the previous one of the SARS, the
impact on the world population due to globalization in all its aspects,
make it necessary to incorporate new organizational approaches backed by
technologies such as Big Data Analysis, Artificial intelligence and
High Performance Computing, for the creation of a global system of
alert, surveillance, analysis and monitoring of pests and pandemics.
In this publication, I summarize the design approach we have created on the possible structure of a mobile early warning, surveillance, analysis and pest and pandemicmonitoring system (EMCAS Project).
EMCAS is the design of an infrastructure created to providc automatic intelligent analysis services to the community of medical researchers and the network of medical assistants.
It is an advanced architecture designed by me, the result of design work on the application of automatic evidence-based reasoning applied to medical alert, surveillance and analysis systems.
The fundamental objective is to be able to deploy immediately at any point of the planet where a sanitary emergency can occur or is taking place, an organizational structure capable of offering on the ground, advanced capacities for information collection, analysis, monitoring and treatment support and resolution of these health emergencies.
The following image gives us an overview of the structure of EMCAS:
The system incorporates a methodological, operational and technological model that from the functional point of view performs the functions described in the following figure:
The process described in the previous figure would allow:
1-Have an early warning and as well as an evaluation of the risk and the tendencies of climbing it in real time
2-The ability to make decisions based on real-time situational awareness provided by the capabilities to capture and manage the medical evidence obtained.
3-Detect and recognize multidimensional patterns from the analysis of the complex evidence network.
4-The generation of plausible research and treatment lines based on the available evidence and the automatic reasoning processes based on cases stored in a knowledge base.
5-The ability to estimate and control new ways of expansion of the health emergency and adapt the monitoring system to the structure and size of the threat.
On the other hand, Emcas proposes a general operational methodology of investigations and analysis of cases based on evidence.
Define the problem:
•Who need to know what is happening?
•What do they need to know and argue with precision?
•Where do they need to know?
•When do they need to know in order to chronologically plan the project properly?
•Why do they need to know? and what actions are possible to carry out?
•How do they need to know, that is, the format? A dossier, a design, forensics, executive summary, visual diagram, report face to face.
•What levels and procedures of confidentiality are going to be applied?
Determine the requirements:
•What is happening? What is the problem?
•Who or what are the elements (factors, objects, etc.) to investigate?
•Where are we going to develop the investigation? and where are we going to get the information from?
•When and how does the phenomenon begin, develop and manifest?
•Why is this phenomenon occurring? That is, what are factors, internal or external to the customer, that cause the phenomenon?
Define the cases:
•Role and importance of the facts.
•Role and importance of the analysis and interpretation.
•Rol and importance of the strategy and decisions.
•Methodological approach.
•Information-gathering tasks involved.
•Analytical tasks involved.
•Information-gathering methods to use.
•Analytical methods to use.
•Strategic techniques to use.
•Information-gathering methods to use.
•Analysis tools to use.
•Simulation and decision-making tools to use.
•Case management tools to use.
•Case timelines.
If you want to know more in detail EMCAS, contact me directly.We have available the conceptual, functional and technological design necessary for the construction of an experimental prototype.
LMT-2020
In this publication, I summarize the design approach we have created on the possible structure of a mobile early warning, surveillance, analysis and pest and pandemicmonitoring system (EMCAS Project).
EMCAS is the design of an infrastructure created to providc automatic intelligent analysis services to the community of medical researchers and the network of medical assistants.
It is an advanced architecture designed by me, the result of design work on the application of automatic evidence-based reasoning applied to medical alert, surveillance and analysis systems.
The fundamental objective is to be able to deploy immediately at any point of the planet where a sanitary emergency can occur or is taking place, an organizational structure capable of offering on the ground, advanced capacities for information collection, analysis, monitoring and treatment support and resolution of these health emergencies.
The following image gives us an overview of the structure of EMCAS:
The system incorporates a methodological, operational and technological model that from the functional point of view performs the functions described in the following figure:
The process described in the previous figure would allow:
1-Have an early warning and as well as an evaluation of the risk and the tendencies of climbing it in real time
2-The ability to make decisions based on real-time situational awareness provided by the capabilities to capture and manage the medical evidence obtained.
3-Detect and recognize multidimensional patterns from the analysis of the complex evidence network.
4-The generation of plausible research and treatment lines based on the available evidence and the automatic reasoning processes based on cases stored in a knowledge base.
5-The ability to estimate and control new ways of expansion of the health emergency and adapt the monitoring system to the structure and size of the threat.
On the other hand, Emcas proposes a general operational methodology of investigations and analysis of cases based on evidence.
Define the problem:
•Who need to know what is happening?
•What do they need to know and argue with precision?
•Where do they need to know?
•When do they need to know in order to chronologically plan the project properly?
•Why do they need to know? and what actions are possible to carry out?
•How do they need to know, that is, the format? A dossier, a design, forensics, executive summary, visual diagram, report face to face.
•What levels and procedures of confidentiality are going to be applied?
Determine the requirements:
•What is happening? What is the problem?
•Who or what are the elements (factors, objects, etc.) to investigate?
•Where are we going to develop the investigation? and where are we going to get the information from?
•When and how does the phenomenon begin, develop and manifest?
•Why is this phenomenon occurring? That is, what are factors, internal or external to the customer, that cause the phenomenon?
Define the cases:
•Role and importance of the facts.
•Role and importance of the analysis and interpretation.
•Rol and importance of the strategy and decisions.
•Methodological approach.
•Information-gathering tasks involved.
•Analytical tasks involved.
•Information-gathering methods to use.
•Analytical methods to use.
•Strategic techniques to use.
•Information-gathering methods to use.
•Analysis tools to use.
•Simulation and decision-making tools to use.
•Case management tools to use.
•Case timelines.
If you want to know more in detail EMCAS, contact me directly.We have available the conceptual, functional and technological design necessary for the construction of an experimental prototype.
LMT-2020
An introduction to the design of a mobile system for immediate deployment of alert, surveillance, analysis and monitoring of pests and pandemics (Coronavirus, Sars, etc.) based on a cognitive approach ( Evidence based Automatic Reasoning).
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