Monthly Archives: August 2010


Adaptive Systems Solutions: Defensive EMR vs. Proactive EMR

EMR is a paradigmatic adaptive system that was usually approached as an administrative system, provoking the resistance of all those who wanted to use it to generate added value.
This situation transformed most of the EMRs into defensive systems.

Adaptive Systems need to be designed following the nature of evolution to produce results.

This implies that the first step to produce results requires dealing with the adaptive subsystem and then approaching the limits established by the administrative subsystem.
In this case, the system can evolve, produce the planned results and, if possible, improve them (1-2-3).

But when an adaptive system is approached starting with the energy conservation function (A-B), administration becomes an end in itself and the system degrades.

An EMR is only functional when the adaptive aspects prevail over the administrative function. This makes it proactive.
But it has to be considered that the integration of both is what ensures its functionality.

Learn more on the evolution of adaptive systems:
http://www.unicist.org/deb_uoin.php

Request more information: n.i.brown@unicist.org

Diana Belohlavek
VP Knowledge Management
& Communication

NOTE: The Unicist Research Institute is the major research organization in the world in its specialty based on more than 3,000 researches in complexity science applied to individual, institutional and social evolution. The applicative researches are based on the discovery of the Ontogenetic Intelligence of Nature and the consequent Unicist Theory of Evolution.

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EMR is a paradigmatic case of dealing with adaptive systems

Adaptive systems are systems that have open boundaries to interact with the external and internal environment. The difference between adaptive systems and systemic systems is that the first ones are driven by taxonomic procedures.

Taxonomic procedures are those that are ruled by an ontological logic that has to be followed in order to achieve the planned results. Nature is an adaptive system.

We consider three levels of artificial adaptive systems:

1) Taxonomy driven systems
Taxonomy driven systems are those that depend on human action to work.

2) Robots
Robots are entities that can deal themselves with the feedback of the environment to achieve an objective.

3) Artificial life systems
Artificial life systems are those that have a collective unconscious that makes them influence the environment. Organizations and countries belong to this type.

Businesses are typical adaptive systems. They are entities that interact with the environment having the characteristics of a complex system but with an implicit and explicit duty to produce a predefined result. We use the word “business” as a synonym of “work”. Healthcare is a paradigmatic case of dealing with adaptive systems.

Request more information: n.i.brown@unicist.org

Diana Belohlavek
VP Knowledge Management
& Communication

NOTE: The Unicist Research Institute is the major research organization in the world in its specialty based on more than 3,000 researches in complexity science applied to individual, institutional and social evolution. The applicative researches are based on the discovery of the Ontogenetic Intelligence of Nature and the consequent Unicist Theory of Evolution.

Follow us on twitter