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From Indrustry 4.0 to Health 4.0

The fourth industrial revolution is linked to digitalization production processes by means of TICs and IoTs as well as new materials. Now the cyberphisical systems are the main issues being possible personalized mass production. Industry 4.0 is a fusion between virtual and real world. Machines become indepent and autonomous and can be reprogramm themselves to […]

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DIY self analytics

One of the esential requirements for a useful implementation of the Health 4.0 using or not IoT MD (medical devices) is the requirement to manage the HSD (health small data) analytics. As clearly stated by most of the studies the main drawback not to use HSD analytics is the lack of knowledge. Therefore it is […]

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Welcome Fog computing, bye bye cloud computing

This is the tesis of Peter Levine that we agree with: Most of power computation will be carried out by IoTs in the Edge computing, particularly in Health. Changes of management and architecture have to drastically change in healthcare in order to allow personalized help and coaching in the HFOG with the use of a […]

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Cognitoys. More important for doctors then for children.

Artificial Intelligence Will Redesign Healthcare. Yes, but several goals should be achieved first. We mention here what we consider the most important: creation of ethical standards which are applicable to and obligatory for the whole healthcare sector The acquirement of basic knowledge about how AI works in a medical setting  and both patients and doctots should getting […]

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RSC en la gran empresa sanitaria

Nunca he entendido que en la Responsabilidad Social Corporativa-RSC empresarial solo estuvieran representadas las empresas que contaminan, que son multinacionales, que estan deslocalizadas y explotan los RRHH de paises terceros… Para mi tanta RSC tienen las empresas privadas como las publicas y muy especialmente la gran empresa sanitaria. Las razones son multiples: 1.- Explotan los […]

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Health 3.0 and Big Data

The experts (but not the doctors) widely talk of Health 3.0 and link it to BIG DATA and CHRONIC DISEASE. Nevertheless the real improvement is with HEALTH 4.0 and SMALL DATA since this is the only one centered in the “USER” and not in the “patient” to prevent and improve citizens health by connecting personal […]

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Small data the new Big data

In a recent interview Martin Lindstrom clearly explain what is Small data for: “Small Data is all about finding the causation, the reason why” is analyzing and predicting the future not taking care of the past. He also use to say: “If you take the top 100 biggest innovations of our time, perhaps around 60% to 65% […]

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Open standards. EU rules a mass.

The open standard principles updated recently (OSP 2015) including a list of Open Source licences approved by the Open Source Iniciative. It recognized that: Rights essential to implementation of the standard, and for interfacing with other implementations which have adopted that same standard, are licensed on a (RF) royalty free basis that is compatible with both […]

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Future clinical research. US model based on iPhone.

We do not know if you would agree or not, but it is obvious that research is now based on the number of cases you have. Apple is showing us that the best way to collect a massive number of cases and this is by using iPhone and Healthkit.  In any case this enforce the […]

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Telemedicine payment- Japan model

One of the essential barriers for telemedicine care inside of National Health systems is the lack of policy for payment when seen patients at distance. In Japan according to a recent publication is not solved but addressed urgently and in a proper way considering the amount of elderly people in their population pyramid. 1.- Mantain […]

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