Starts with the right data infrastructure
Oxaigen provides innovative and technical solutions that enhance the resilience of the current healthcare sector, while also reducing the strain it is under.
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High quality medical data, enriched with international medical concepts to capture untapped data insight!
Enriching medical data with international medical concepts involves adding standardized codes and terminology from international medical classification systems, such as the International Classification of Diseases (ICD) and the Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT), to individual patient records. This allows for more precise and consistent data analysis across different healthcare systems and settings.
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High quality model training and extensive clinical validation to ensure safe model deployment!
A no-code AI platform allows users to develop and deploy machine learning models without the need for extensive programming knowledge. This can make it easier for non-technical users to leverage the power of AI in their applications and processes. However, even with a no-code AI platform, it is important to ensure that the trained models are of high quality and have undergone extensive clinical validation to ensure safe deployment. High-quality model training involves using a large and diverse dataset to teach the model to make accurate predictions or decisions.
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A CE-certified medical device specially developed to provide bedside AI model advice!
Our medical device will be certified to meet the safety, health, and environmental protection requirements of the European Union (EU). It provides bedside AI model advice and relies on machine learning algorithms to analyze patient data and provide real-time recommendations and predictions to healthcare providers at the point of care. This type of device aims to improve patient outcomes by providing more timely and accurate medical advice, and also helps healthcare providers make more informed decisions.
Drive scientific breakthroughs in AI and medicine that benefit society by bringing these technologies to the bedside. Bringing AI and other advanced technologies to the bedside will help drive scientific breakthroughs in medicine and improve patient care.
By using these technologies in real-world clinical settings, researchers and healthcare providers can gain a better understanding of how they can be used to support medical decision-making, improve diagnostic accuracy, and identify new treatments and approaches.
Improve patient outcomes
Ease physician workload
Save hospital cost
Reducing Ventilator-Induced lung injury
Optimizing ICU discharge
Improving medical data quality
Treating Sepsis
Ventilator-induced lung injury (VILI) occurs when mechanical ventilation causes damage to the lungs. It can lead to inflammation, fluid accumulation, and injury to the cells and blood vessels in the lungs. To reduce the risk of VILI, there are several strategies that can be employed, including:
✓ Using lower tidal volumes and pressures to deliver air to the lungs
✓ Avoiding high levels of positive end-expiratory pressure (PEEP)
✓ Using lung-protective ventilation strategies, such as prone positioning and recruiting manoeuvres
✓ Administering medications, such as bronchodilators and anti-inflammatory drugs, to reduce lung inflammation
✓ Monitoring for and treating infection, as infections can increase the risk of VILI
Oxaigen’s proprietary technology relies on algorithms to analyse large amounts of data and provide real-time recommendations to minimise VILI and the length of stay a the ICU.
Bedside, real-time, data-driven, and personalised antibiotic dosing in critically ill patients with sepsis or septic shock is a crucial strategy in improving patient outcomes. Sepsis and septic shock are serious conditions that can occur when an infection spreads throughout the body and causes widespread inflammation, leading to organ dysfunction and even death.
✓ AutoDose is a decision support system that uses algorithms to analyze large amounts of data and provide real-time recommendations for optimizing antibiotic dosing.
✓ This approach ensures the right dose of antibiotics is administered at the right time, improving pharmacokinetic target attainment and reducing the risk of treatment failure.
✓ AutoDose can also minimize the risk of antibiotic-associated adverse events, such as kidney injury, by providing real-time monitoring and adjustments to antibiotic dosing.
Oxaigen’s proprietary technology relies on algorithms to analyse large amounts data and provide real-time recommendations to optimize antibiotic dosing.
Sepsis is a potentially life-threatening condition that occurs when the body’s response to an infection harms its own tissues and organs. Treatment for sepsis typically involves a combination of approaches, including:
✓ Administering antibiotics to fight the infection
✓ Providing oxygen and other supportive care, such as intravenous fluids and medications to support blood pressure
✓ Removing sources of infection, such as infected tissue or debris
✓ Monitoring for and treating organ dysfunction, such as dysfunction of the kidneys, lungs, or heart
✓ Providing emotional support and addressing any psychological or social needs of the patient and their family
✓ It’s important to treat sepsis promptly and aggressively to improve the chances of recovery.
Oxaigen’s proprietary technology relies on algorithms to analyse large amounts data and provide real-time recommendations to detect Sepsis at an early stage and provide valuable insights during the treatment process.
High-quality medical data that is enriched with international medical concepts provides a wealth of valuable insights that can support better decision-making and improved patient outcomes. Enriching medical data with international medical concepts involves adding standardized, global codes and terms to the data to provide additional context and detail about the patient’s condition and treatment. This can help improve the accuracy and completeness of the data and make it easier to compare and analyze data from different sources and locations.
Incorporating international medical concepts into medical data can also help capture previously untapped data insights. By adding standardized codes and terms to the data, it becomes possible to analyze the data in new and more sophisticated ways, and to identify patterns and trends that might not be apparent from the raw data alone. This can provide valuable insights into the effectiveness of treatments, the prevalence of certain conditions, and other important factors that can inform medical research and practice.
Oxaigen’s data platform offers various features to harmonize and increase the quality of medical data from different source.
Conforms with health, safety, and environmental protection standards for products within the EU.
Designed to be very easy to use, with a minimum of controls and a clear and intuitive layout.
Makes it easier for healthcare providers to quickly access and review the necessary information, insights and recommendations about a patient.
Could be displayed on a patient wall or other monitoring tool, allowing healthcare providers to quickly identify any changes or abnormalities that may require attention.
CE-Certified medical device
Ridiculously simple user interface: a single-page patient wall!
Real-time fine-grained detail for continuous monitoring
AI enabled patient summary at top of page
Clinically intuitive menu organised by organ systems
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