Measuring Patient´s Complexity and Stability. In Real-Time.

 

We know that the human body is a super complex system of systems. Today, with technology from Ontomed it is actually possible to measure this complexity and to visualize and track its structure. In real-time. We research and deliver unique model-free technology and tools that analyze streaming multi-channel data - including all channel interactions - and process it to measure the instantaneous degree of complexity of a patient in an Intensive Care Unit (ICU) or Operating Room (OR). Our goal is to deliver new knowledge and better understanding of the dynamics of the human body from a holistic and systemic perspective.

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early-warnings in icu and or

Data in an ICU is complex and of dynamical nature. It is characterized by strong variability and is highly non-stationary, presenting couplings of varying degree between the different channels. Our complexity-based technology allows one to capture and integrate different OR or ICU-specific data to generate a single, holistic measure which is indicative of patient stability.

A first step in the process of measuring the complexity of data originating from various monitoring devices is to establish a map of the relationships between various data channels. This is done in real-time via a proprietary algorithm.  An example of such map is shown below and a detail is illustrated below.

Complexity Map of a hospitalized patient.

Complexity Map of a hospitalized patient.


Complexity maps offer a unique and novel representation of organ inter-actions, indicating those responsible for increased complexity and fragility.

COSMOS™ - a COmplexity-based Stability MOnitoring System - is shown here as it processes ICU data and computes in real-time the complexity of a patient, as well as short, mid and long-term stabilities. The bar chart ranks vital signs in terms of their footprint on the system.

COSMOS™ Data Sheet. Download


Complexity technology establishes a radically innovative means of anticipating crises. Patients under severe stress or in critical conditions undergo either rapid complexity fluctuations or exhibit a consistent growth of complexity. Monitoring complexity allows us to identify precious crisis precursors which may go unnoticed and, most importantly, identify their sources. 

Real-time evolution of the complexity of a hospitalized patient in an Intensive Care Unit.

Our technology allows us to view a patient as a system of interacting systems and to measure, for example, his degree of stability. Knowing in quantitative terms how a given patient is stable is crucial before attempting surgery or other therapies. The stability of a patient is computed based on the rate of change of complexity over time.

Real-time evolution of the stability of a hospitalized patient in an Intensive Care Unit.

The degree of resilience is another systemic characteristic of a patient. Based on multi-channel data in an ICU or an OR, we can measure the resilience - the capacity of a patient to absorb and resist shocks, such as surgery, drugs, etc.

Real-time evolution of the resilience of a hospitalized patient in an Intensive Care Unit.

The critical state of every system, including hospitalized patients, corresponds to what is known as critical complexity. However, the critical complexity of a given patient changes over time. This is because under cases of severe injury or other critical and life-threatening conditions the human body is rarely in a state of equilibrium in which the dynamics of organ-interactions is very complex and intricate.

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