Advanced Pressure Injury Prevention and Decision Support System

An enhanced pressure injury prevention system that utilizes adjustable sensor sensitivity, machine learning algorithms, and real-time feedback to caregivers to prevent pressure ulcers, providing improved patient care and reduced healthcare costs.

The original patent, 'Pressure injury prevention sensor and decision support tool', aimed to prevent pressure ulcers by measuring pressure and generating notifications. However, it had limitations in detecting pressure fluctuations, movement patterns, and patient-specific risk factors. The new inventive concept addresses these limitations by introducing advanced sensors, machine learning algorithms, and real-time feedback to improve pressure ulcer prevention.

The advanced pressure injury prevention system comprises a sensor array with adjustable sensitivity to detect pressure fluctuations, a processor to analyze the detected fluctuations and predict the likelihood of pressure ulcer development, and a machine learning model to detect changes in patient movement patterns. The system provides real-time feedback to caregivers to adjust patient positioning and prevent pressure ulcers. Additionally, a decision support tool with a database of patient-specific risk factors generates personalized recommendations for pressure ulcer prevention. The system reduces pressure ulcer incidence by alerting caregivers to take preventative measures when the predicted risk exceeds a predetermined threshold.

The new claims introduce adjustable sensor sensitivity, machine learning algorithms for detecting changes in patient movement patterns, and real-time feedback to caregivers, which are not present in the original patent. These advancements provide a more accurate and proactive approach to pressure ulcer prevention, making the new inventive concept novel and non-obvious.

Alternative embodiments of the inventive concept could include integrating the system with existing hospital infrastructure, using different types of sensors or machine learning algorithms, or incorporating additional patient data such as medical history or medication. Variations could include adapting the system for use in different healthcare settings, such as clinics or home care.

The advanced pressure injury prevention system has significant commercial potential in the healthcare industry, particularly in hospitals, clinics, and home care settings. The system can reduce healthcare costs associated with pressure ulcers, improve patient outcomes, and enhance the overall quality of care. The target market includes healthcare providers, medical device manufacturers, and healthcare technology companies.