Healthcare Cybernetics

Business Hackers; the Agents who Introduce Business Viruses

Business Hackers are individuals who need to implant business viruses in institutions in order to demonstrate that they are able to dominate them.

They tend to do everything in their way disregarding the use of established methods, procedures and taxonomies to achieve goals.

To introduce viruses they propose short-cuts to achieve profit. Their success is achieved when their proposal is accepted by the greed of their counterparts.

Their butterfly behavior is sustained by conjunctural justifications and the exertion of power. They might use active power or the power of inaction.

Their destruction goal is integrated by envy which is driven by greed and jealousy. They use greed to profit from the environment at a materialistic or emotional level while they feel jealous of the power the organization has.

They are fulfilled when the organizational goals become degraded. They justify their actions by believing and saying that the organization is not such because it could not resist their actions. They are homologous to “computer hackers”.

Inhibiting and entropy-inhibiting unicist business objects are the anti-viruses needed to neutralize their actions.

Access a synthesis on the “Discovery of the The Unicist Ontology of Business Hackers” that is available at the Scientific Dissemination Program. You will find there other syntheses that might be of your interest:

Unicist Press Committee

NOTE: The Unicist Research Institute was the pioneer in complexity science research and became a global decentralized world-class research organization in the field of human adaptive systems.

Diagnoses are necessary to improve business processes

The unicist diagnostics technology was developed to provide a standard for the diagnosis of adaptive systems whatever the field of activity. It has been a methodology used in the Unicist R&D processes for years until it was approved as a standard.

The purpose of the diagnosis is to find a solution. That is why only those who know how to solve a problem can diagnose it.

Autopsies are not homologous to unicist diagnoses. A dead body is not considered an adaptive system and no solution can be found for it.

Unicist Diagnostics is based on fundamental diagnoses that deal with the unified field of the adaptive system and technical analytical diagnoses that deal with the signs and symptoms based diagnoses.

Access a synthesis on the “Discovery of the Unicist Ontology of Business Diagnostics” that is available at the Scientific Dissemination Program. You will find there other syntheses that might be of your interest:

Diana Belohlavek

NOTE: The Unicist Research Institute was the pioneer in complexity science research and became a global decentralized world-class research organization in the field of human adaptive systems.

Healthcare businesses have to be adaptive as never before

Businesses are, by definition, adaptive systems that need to evolve in an adapted way in an environment. Therefore, knowledge is essential to manage businesses.

Ontology-of-the-knowledge-of-adaptive-systemsKnowledge implies having the necessary information to make decisions and implement them in order to generate a business.

Reliable knowledge can be achieved when the fundamental knowledge and the technical analytical knowledge have been acquired.

Fundamental analysis is the approach that defines the limits of the possibilities of the evolution of a given reality. Fundamentals define the boundaries implicit in the functionality of such reality.

Technical analysis deals with the cause-effect relation between “variables” that have been identified making a systemic compromise.

The discovery of the Unicist Ontology of Evolution and the structure of concepts that regulate the evolution of living beings and their deeds, established the structure for fundamental analysis integrating it with technical analysis in order to develop reliable knowledge to adapt in a smooth way to reality.

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Who can manage ontological solutions for Adaptive Systems?

Simple thinking is unicist thinking. To deal with unicist ontological solutions individuals have to need to produce results and have a basic solution in their minds.

unicist-thinkingAn individual can only apprehend an ontological algorithm to manage an adaptive system if s/he can recognize it.

To recognize it the individual needs to have the concept of a solution in order to be able to compare it with the solution provided by the ontological algorithm.

People who have problems and not solutions in their minds cannot recognize ontologies. They need to rationalize them, transforming them into rationalisms.

Unicist algorithms are only necessary to manage adaptive systems. They are unnecessary for administrative functions.

An analogy will explain the difference between both. An administrative system is a simple procedure that uses forward-chaining thinking approaches:

1 + 1 = 2 is a simple administrative system that is solved by knowing how the adding process has to be done.

On the other hand, adaptive systems are complex. Their elements are interdependent and the only observable behaviors are their results:

2 = ∞ alternatives. This means that an individual has to find the best solution that achieves the result. This implies working with backward-chaining thinking approaches.

Backward thinking implies being able to think from the end to the beginning. Consider a mounting line. It is the capacity of an individual to decompose the final “product” into its components.

Simple thinking is the key for business growth

Simple thinking in decision making can be described as integrating the necessary mental amplitude and depth of thought in order to focus on solving a problem. Having sound knowledge of a reality is a precondition for simple thinking.

unicist-ontology-simple-thinkingSimple thinking implies focusing on a solution and not being concerned about a problem.

It requires having assumed the responsibility of solving a problem.

Easy thinking implies using pre-concepts to make decisions. In this case “the answers precede the questions”.

Complicated thinking happens when individuals cannot apprehend a reality because they do not have the necessary mental amplitude, depth of thought and focus.

In this case they make a complicated rational construction or an oversimplification to avoid responsibilities.

When facing uncertainty an individual cannot begin thinking in a simple way. Simple thinking will allow her/him to solve the problem after having learned about that reality. Simple thinking can only be developed by those who have conscious experiences in a field. Benchmarking is a simple thinking process or an easy fallacious solution.

Successful benchmarking requires having experienced the homologous and analogous activities that are being benchmarked.

Simple thinking is the key for business strategies. Maximal strategies, which happen beyond the limits of the actual business, require simple approaches.

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Solutions using Electronic Medical Records Ontology

The integration of  EMR with the mind of physicians has become an absolute priority in order to foster a meaningful use of  Electronic Medical Records. This requires developing ontological solutions that allow integrating the categories physicians have in mind with the categories and objects integrated in the system.

We are providing access to a paper can be extremely helpful to define the problem and develop solutions.

It was developed by:

-Regenstrief Institute, School of Medicine, and Center for Aging Research, Indiana University Indianapolis, Indiana
-IBM T.J. Watson Research Yorktown Heights, New York
-School of Computing and Information Sciences, Florida International University

“As the use of Electronic Medical Records (EMRs) becomes more widespread, so does the need for effective information discovery within them. Recently proposed EMR standards are XML-based. A key characteristic in these standards is the frequent use of ontological references, i.e., ontological concept codes appear as XML elements and are used to ssociate portions of the EMR document with concepts defined in a domain ontology. A rich corpus of work addresses searching XML documents. Unfortunately, these works do not make use of ontological references to enhance search. In this paper we present the XOntoRank system which addresses the problem of ontology-aware keyword search of XML documents with a particular focus on EMR XML documents. Our current prototypes and experiments use the Health Level Seven (HL7) Clinical Document Architecture (CDA) Release 2.0 standard of EMR representation and the Systematized Nomenclature of Human and Veterinary Medicine (SNOMED) ontology, although the presented techniques and results are applicable to any EMR hierarchical format and any ontology that defines concepts and relationships.

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Ontological approach to Electronic Health Records

The approach to EMR/EHR needs to include both administrative and adaptive aspects in order to work as a driver for patient oriented healthcare.

We strongly recommend accessing the paper on the adaptive aspects of EHR prepared by Lowell Vizenor, Barry Smith and Werner Ceusters representing:

1. Institute of Formal Ontology and Information Science, University of Saarbrücken, Germany
2. University at Buffalo, Department of Philosophy, Buffalo, New York, USA
3. European Institute for Ontological Research, Saarbrücken, Germany

“Despite the recent advances in information and communication technology that have increased our ability to store and circulate information, the task remains of ensuring that the right sorts of information reach the right sorts of people.

In what follows we defend the thesis that efforts to develop efficient means for sharing information across healthcare systems and organizations would benefit from a careful analysis of human action in healthcare organizations, and that the communication of healthcare information and knowledge needs to rest on a sound ontology of social interaction.

We illustrate this thesis in relation to the HL7 RIM, which is one centrally important tool for communication in the healthcare domain.”

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Businesses have implicit ideologies: The Unicist Ideology

The ontology of ideologies defines them as beliefs that use a technology to satisfy an existing interest within the limits of the myths of the environment.

unicist-business-ideologyTherefore when approaching an unknown business it is necessary to apprehend the ideology that is implicit in order to understand its sustainability.

Only a value adding business can openly define its business ideology without demystifying its activity. Value earning and survival businesses need to hide the ideology that underlies their activities.

The Unicist object driven technologies business implies that people need to believe in evolution in order to use them and have to be driven by the need to do.

The use of the unicist object driven technologies  within the limits of the ethic of doers to foster the  evolution  of businesses defines the unicist ideology.

Access to the Unicist Ethics:

Access to the Unicist Standard:

EMR/EHR and Cloud Computing drive Continuous Improvement

Unicist Pre-diagnoses have been launched to give the Healthcare Industry access to an approach to evaluate the possibilities of value generating improvements.

unicist_emr-ehrThe Unicist Pre-diagnostics System allows dealing with the fundamentals of Hospitals and Clinics in order to define the possibilities for the development of stable value generating improvements.

Electronic Healthcare Records Systems are adaptive systems that integrate the feed-back, learning, decision support and information systems.

EMR/EHRs work as catalysts to introduce improvements in the work-processes.

The integration of their adaptive functions allows introducing changes while their use is upgraded. The use of cloud computing becomes necessary in order to take full advantage of their characteristics.

The Unicist Pre-diagnostics System has been designed to develop intuitive pre-diagnoses to define the possibilities of a project or actions in a participative way. The pre-diagnoses are developed in Unicist Pre-diagnostics Groups using Unicist Algorithms in an intuitive way.

The Benefits of Cloud Computing in Healthcare Businesses

The development of Cloud Computing changed the paradigms of work process design and is now beginning to be recognized as a breakthrough in productivity.

cloud-computing-differentiationIt began being a solution for certain type of IT driven businesses. Now it is a new concept to manage information that allows producing incremental efficiency in IT processing. It generates incremental efficacy in the use of the information within a more secure environment.

The IT aspects of cloud computing have achieved its maturity. The use of the benefits of cloud computing is at a starting stage. In most of the work processes it is just used as a different way to store and process information.

The efficacy of work processes of adaptive systems can be easier managed using this approach, which makes the natural integration of feedback processes possible.

The use of cloud computing is essential for EMR, EHR and decision support systems. But, as any new technology, it demands adapting the work processes to take advantage of its benefits.

Today, cloud computing is still an IT problem. The introduction of incremental efficacy in work processes will integrate the use of cloud computing in businesses.