Comprehensive Dermatological Data for Informed Clinical Decisions. Comprehensive Analysis for Informed Decision Making. Improvement in Dermatological Assessment Accuracy. Precise Detection of Dermatological Features. Empowerment of Health Care Practitioners.
Performance: The device provides an analysis of the epidermis, dermis, and their appendages, delivering a wide array of clinical data to support healthcare practitioners in their evaluations. Utilizing advanced computer vision algorithms, the device detects and analyses various dermatological features, providing detailed insights into the condition of the skin, that practitioners use to improve their clinical assessment.
Evidence: Validation studies and real-world applications have demonstrated the device's proficiency in helping practitioners increase their diagnostic success rate, thereby facilitating a more comprehensive and informed clinical decision-making process.
Faster Measurement of Clinical Signs. Accurate and Objective Measurement of Clinical Signs. Precise Quantification, Count and Extent measure of Skin Issues. Facilitation of Longitudinal Skin Condition Monitoring. Consistent Tracking of Patient Condition Over Time. More agile follow-up consultations.
Performance: The tool provides objective quantification of various clinical signs such as erythema, desquamation, and induration, offering precise measurements that enhance the evaluation and monitoring of skin conditions. More concretely, the device offers precise quantification of the intensity, count, and extent of various clinical signs. By doing so, the device is specifically designed to facilitate the longitudinal monitoring of skin conditions, allowing healthcare practitioners to track changes and progression over time with high precision. And not only that, but it achieves the results in a matter of seconds.
Evidence: The vast literature shows the high inter-observer variability of HCPs in estimating the intensity, extent and count of clinical signs. The issue of subjectivity is so pronounced that there is even a high intra-observer variability. On the contrary, our validation has consistently shown the device's ability to provide accurate and reliable quantifications, reducing inter-observer variability, and ensuring that healthcare practitioners have access to objective data for improved patient care. Furthermore, the device outputs the score in a range from 1 to 100, which improves the Minimum Observable Change by providing a higher Level of Differentiation (LoD). And most importantly, the evidence shows that the device is a method that is much faster and less time-consuming for HCPs.
Improved Operational Efficiency for Healthcare Organizations. Streamlining Healthcare Operations. Data-Driven Insights for Workflow Optimization.
Performance: The device not only aids in clinical evaluations but also provides actionable insights that contribute to the optimization of clinical workflows within healthcare organizations. By delivering quick and precise clinical data, the device plays a crucial role in enhancing the operational efficiency of healthcare workflows, leading to better patient outcomes and resource management.
Evidence: Feedback from various healthcare organizations and practitioners confirms the device's positive impact on streamlining workflows and improving the overall efficiency of patient care delivery in tasks such as increasing the adequacy of referrals or improving triaging patients. Performance metrics have illustrated the device's role in enhancing workflow efficiency, leading to improved patient care and operational effectiveness.
Support in Preliminary ICD Classification through Image Analysis. Aiding in ICD Classification. Diagnostic Support.
Performance: The device offers an interpretative distribution representation of potential ICD classes based on image analysis, providing valuable preliminary information that can aid in the patient management process, aiding in the preliminary categorization of conditions.
Evidence: Through extensive testing and real-world application, the device has proven its capability to accurately suggest potential ICD classes, supporting healthcare practitioners in the early stages of diagnosis and treatment planning. Validation studies have showcased the device's capability to accurately represent ICD classes, assisting practitioners in the early stages of diagnosis and patient management.