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.
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 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.
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.
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.
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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