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  • Liviu Cotora

Knowledge Management is a real solution in the pandemic battle

The tones of articles, interviews media opinions avoiding the word KNOWLEDGE and even more the word MANAGING, like sources of our inability to identify the virus personality, intelligence and death potential.


A "respiratory virus” in February and now “doctors are starting to recognise that this new corona-virus is a disease unlike anything they’ve treated before: The virus can disable the kidneys, inflame the GI tract, damage the heart and creep into the central nervous system. It can lead to blood clots.” (Bloomberg Technology& Science).

Of course, our normal education has the roots in the tangible life and economy, so the solutions are: the test, masks, and medical engines able to save life’s, vaccines, treatments for something that we don’t really know.

But the Source of this tangible solutions are the Knowledge of the “killer” - his personality: it will attack the brain or breath or blood or what is the strategy of this virus? how fast it's move, where is it caching and how long?


KNOWLEDGE MANAGEMENT is the way to start from almost nothing and use SPEED and SPREAD and “CONVERSION cycles” to tangible results, like: test, treatments, vaccines...



Can a doctor competence be able finding the right answer to all these questions?

The prestigious journal “Science” calls it a “rampage through the body from the brain to the toes.


For this new kind of diseases, we need new kind of scientific methods and a tremendous quantity of Data, real patient Data with the disease story, action and reaction, treatment and result, all of them on a collaborative platform with all type of “contributors”: doctors, scientists many different competencies, patients, nurses.

The knowledge contribution of each must be validate like real and identified, so will not be dirty data.

Scientist and doctors must create “mining machine“ to search and find with Big Data Analytics the common points, characteristics, and the context, the “battle field”, the Patient, the Human.


“Hospitals are becoming “living laboratories” says Isaac Kohan, a professor and chair of biomedical informatics at Harvard Medical School.


Doctors continue to update their understanding of ventilator use, which saves lives in some cases but may damage the lungs in others. And still others may be benefiting from powerful anti-inflammatory drugs, such as Actemra, an arthritis drug which doctors in New Jersey used to treat a 47-year-old marathon-running urologist who had been near death, according to a case history in STAT news. His severe illness appears tied to an extreme over-reaction of his immune system, called a cytokine storm.

It’s not clear that his case is typical — as the man’s age and physical fitness are not typical of the severely ill. Some doctors worry that in other patients, suppressing the immune system will give the virus an advantage. But typical or not, the case provided useful data that might help others, taking some of the guesswork out of future cases.


The problem with all of these data points is coordinating them.

Bloomberg Technology& Science


The Solution is a Global Knowledge Management Platform where the contributions are validated to reflect the identity of the contributor and prove the source of the Data, the outcomes from the Platform must be validated for usefulness and identity.


The users of the knowledge, the “consumers” must be “contributors” to the Knowledge Platform, to every level: doctors, scientist, academic, entrepreneurial, enterprise, institution, storyteller-patient.


In a very short time, the Platform will have hundred of trillions of clear identified Data and will be a common basis to simulate, and test.

Also, the Platform must have an administration and operating level in charge to validate the “Value Centers” for which the contributors of knowledge will be valued.


“The electronic health record system could help. In an expanding data-collection project, Kohane and his colleagues have coordinated electronic records from more than 27,000 patients in 96 hospitals across five countries”. Bloomberg Technology& Science


“Allen Institute for A.I. set up a free, comprehensive database with over 29,000 related scientific articles. Believed to be the most extensive collection of research papers on the topic, this COVID-19 Open Research Dataset (CORD-19) aims to facilitate research work by being an easily accessible resource for scientists. Moreover, it allows machine learning algorithms to mine for insights which can aid towards crucial research, be it for vaccine development, transmission trends or even unusual associations.

A.I. can help in the screening and triage of relevant patients in these cases and alleviate the pressure on hospitals.

Researchers published their findings on creating an A.I. framework to assist in rapid clinical decision-making. Their predictive models use real patient data to determine who will develop acute respiratory distress syndrome (ARDS), a severe complication in COVID-19. These models achieved 70% to 80% accuracy in predicting severe cases. Thus, patients identified in this way could be prioritized for specialized support”. Dr. Bertalan Mesko, PhD is The Medical Futurist and Director of The Medical Futurist Institute

The “Global Knowledge Management Platform” will be the fuel for the Medical Research engine in the pandemic battle, let’s do it, be agile, be smart and Manage the Knowledge: don’t leave it, don’t loose it!

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