Solvemed expanded its international presence by partnering with the British Association of Critical Care Nurses conference in Nottingham, following successful showcases at major US medical conferences.
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Solvemed was honored to participate as an Education Partner at the 38th Annual British Association of Critical Care Nurses (BACCN) Conference in Nottingham. Our Clinical AI Researcher, Dr Ivo John, represented Solvemed among an inspiring group of nursing professionals dedicated to improving outcomes in critical care and neurodiagnostics. The partnership with BACCN allowed Solvemed to engage directly with the front line of nursing innovation and patient monitoring in the UK.
The British Association of Critical Care Nurses (BACCN) is recognized as a leading organization for nurses working in critical care throughout the UK. BACCN champions high standards of patient care, professional development, and evidence-based research. The annual BACCN conference serves as a vital platform for exchanging best practices and discovering emerging trends in critical care. With its focus this year on "Recovery, Restoration and Sustainability," the event perfectly mirrored Solvemed’s commitment to sustainable healthcare innovation and the advancement of neurodiagnostics.
Pupillometry represents an essential component of neurodiagnostics in critical care, providing critical insights into brain health through objective assessment of the pupillary light reflex (PLR). Traditional manual methods, such as penlight examinations, can be subjectively inconsistent, potentially delaying critical clinical interventions (Nyholm et al., 2022). Automated quantitative pupillometry has demonstrated superior reproducibility and reliability compared to manual assessments, thereby significantly enhancing the quality of neurological evaluations in critically ill patients (Nyholm et al., 2022; Trent et al., 2022). Trent et al. (2022) further reported that abnormal Pupillary Light Reflex (PLR) scores, measured through quantitative pupillometry, have high specificity for predicting neuroworsening in traumatic brain injury patients, thus underscoring the tool's clinical relevance in critical settings.
Regular and precise pupillary assessments allow healthcare providers to swiftly identify neurological deterioration, adverse drug reactions, or other significant physiological changes (Hill et al., 2023). The integration of advanced tools such as the PuRe Pupillometer into clinical routines empowers nurses with consistent and quantifiable neurodiagnostic data, enabling earlier and more precise interventions (Nyholm et al., 2022). Consequently, the adoption of digital pupillometry is instrumental in elevating standards of patient care, contributing significantly to improved outcomes in neurocritical care.
The introduction of Solvemed's PuRe™ Pupillometer represents a substantial advancement in clinical technology for neurodiagnostics. Its innovative design integrates automated pupillary measurements with sophisticated AI-driven analytics, delivering accurate, reliable, and rapid assessments at the bedside. By significantly reducing inter-observer variability and assessment time, the PuRe™ Pupillometer enables healthcare professionals to respond more swiftly to neurological changes, improving clinical decision-making. This capability not only enhances patient safety but also supports proactive care management, potentially reducing hospital stays and associated healthcare costs.
Solvemed is committed to driving ongoing innovation in neurodiagnostics and critical care technology. Our collaboration with leading organizations such as BACCN positions us at the forefront of healthcare transformation. Looking forward, we remain dedicated to leveraging cutting-edge technologies, expanding educational partnerships, and fostering research initiatives to continually refine patient care practices. Solvemed is excited to continue empowering healthcare professionals, enhancing patient outcomes, and contributing meaningfully to the evolving landscape of critical care medicine.
Hill, M. et al. (2023). Assessing Patients With Altered Level of Consciousness. Critical Care Nurse, 43(4), 58-65.
Nyholm, B. et al. (2022). Superior reproducibility and repeatability in automated quantitative pupillometry compared to standard manual assessment, and quantitative pupillary response parameters present high reliability in critically ill cardiac patients. PLoS ONE, 17(7), e0272303.
Trent, T. et al. (2022). Pupillary light reflex measured with quantitative pupillometry has low sensitivity and high specificity for predicting neuroworsening after traumatic brain injury. Journal of the American Association of Nurse Practitioners, 00, 1-5.
