AI-Based Falls Prediction Tool

Quantum Analytica’s AI-Based Falls Prediction Tool is an innovative solution designed to identify patients at high risk of falls, enabling healthcare providers to take preventative actions and reduce incidents. This tool utilises advanced machine learning algorithms to analyse patient data and predict the likelihood of falls, helping clinicians manage at-risk patients more effectively.

Key Features:

• Predictive Analytics: The tool assesses a variety of patient factors, such as age, mobility, medication history, and previous fall incidents, to provide a robust risk score for each patient.

• Real-Time Monitoring: Clinicians can receive ongoing, real-time insights into a patient’s risk of falling, allowing them to adapt care plans proactively.

• Scenario Modelling: Offers "what-if" scenario modelling, enabling healthcare teams to adjust care strategies and evaluate how changes in patient management might influence fall risks.

Benefits:

• Improved Patient Safety: By identifying patients at risk early, this tool helps reduce fall-related injuries, hospital stays, and associated healthcare costs.

• Optimised Care Planning: Enables healthcare providers to tailor interventions to high-risk patients, ensuring personalised and preventative care.

• Data-Driven Decisions: Supports staff in making informed, timely decisions to mitigate falls, improving overall patient outcomes.

• Efficiency Gains: Reduces the burden on staff by automating fall risk predictions, allowing them to focus on direct patient care.

With the AI-Based Falls Prediction Tool, healthcare organisations can take a proactive approach to preventing falls, improving patient safety, and enhancing operational efficiency.