Next level of clinical decision support
Visensia® – The Safety Index™ is a clinical measurement that can identify patients at risk of significant deterioration hours before most physicians and nurses can.
Visensia’s Artificial Intelligence has been developed especially for the advanced and early detection of patient deterioration and is the next level of intelligent clinical decision support for real time predictive analytics.
Visensia® is the first system to earn both a CE mark and FDA approval for its proven ability to make accurate predictions that permit medical interventions to save both lives and money.
How Does It Work?
Visensia® works by comparing the patient’s vital signs; Heart Rate, Respiration Rate, Blood Oxygen Saturation, Temperature and Blood Pressure. These data are organized as a correlated set of data, not multiple measures of independent data, and are compared to the unique Visensia database. The comparisons permit the VSI to spot patterns of instability based on real world patient data – patterns that could rarely be picked up by single channel alarm systems and would probably be missed by most nurses monitoring vital signs. Furthermore, the data tools provide a graduated score based on statistics from patient datasets, not just arbitrary, alarm cutoff levels isolated from other clinical data.
When used in combination with continuous vital sign monitoring, the VSI indicated patient deterioration on average six hours in advance of standard practice. In some settings the VSI has been demonstrated to make such predictions up to 24 hours before detection by other means.
Visensia® is data driven. It provides a standard Health Level 7 (HL7) interface for communicating to and from other data acquisition systems (data sources), allowing Healthcare Organisations to use existing patient monitoring infrastructure and resources to tailor their needs accordingly.
When a patient’s multiple physiological vital signs are received, Visensia® fuses these data to generate a single numerical index between (0 – 5) representing the patient’s wellness.
0 = Normal 3 = Visensia Alert (caregiver attention necessary) 5 = Critical (crisis)
Visensia® Data Fusion Technology
Visensia® is the first FDA cleared and CE marked index for multiple physiological parameter assessment with automated alert of its kind and has been designed to provide caregivers a simple, unambiguous call to action, helping to improve clinical outcomes and patient safety.
Vital sign measurements have been used routinely for decades to inform physicians about a patient’s current state. These vital signs are measured by monitors made by a variety of manufacturers, but these monitors do not make predictions. They only measure what is currently going on and present those measurements in readable and recordable form.
The development of new wearable devices and sensors technologies capable of continuously monitoring a patient’s physiological vital signs in hospital and at home, enables the next level of clinical decision making software applications powered by real time analysis and intelligent alerting realizing the true value of Visensia.
Visensia® has been designed to handle both continuous and episodic vital sign data and the Visensia® Safety Index is calculated whenever new data is received.
The various display options available allow caregivers to have a clear overview of a patient’s monitored vital signs, missing vital signs, associated single channel warnings, trending data and an indication of the patient’s overall wellness or risk of deterioration – Visensia® – The Safety Index™.
The VSI can also be used to assist physician assessments as to whether the patient is stabilising or improving to objectively step-down or avoid unplanned readmission.
Visensia® – The Safety Index™ was designed with Simplification, Risk Identification and Prevention in mind.
Visensia® helps caregivers and patients by enabling:
- Prediction and prevention of clinical crisis, enhancing patient safety, with over 6hrs advanced warning of critical instability
- Quicker response to patient deterioration t facilitate earlier intervention
- Improved staff empowerment, efficiency, engagement and communication
- Prioritise clinical workflow and resource utilisation while reducing cost of care
- Optimise patient admission and floor assignments
- Empower point-of-care teams