Predictive analytics is a branch of data analytics that uses historical and current data to forecast future outcomes and trends. It involves applying statistical algorithms, machine learning techniques, and data mining methods to analyse patterns in data and make predictions about unknown future events.
Predictive analytics is rapidly transforming the healthcare landscape by leveraging advanced data analysis techniques to forecast future health outcomes, detect potential issues, and inform medical decisions. This innovative approach harnesses the power of historical and real-time data, combined with cutting-edge algorithms, to provide healthcare professionals with insights that enable proactive interventions, personalised treatments, and enhanced patient outcomes
mPred is a comprehensive medical predictive system that is currently being used by health departments to digitise patient records, anticipate medical conditions, prevent complications, and provide an improved level of patient care.
Share patient case sheet and vitals data with hospital prior to ambulance arrival.
Predictive models track disease trends and forecast outbreaks, enabling timely responses from public health authorities.
Healthcare facilities are using mPred to forecast patient admissions, ER visits, and demand for services, optimising resource and bed allocation and staff scheduling.
Real-time access to patient data and history enables faster diagnosis, evidence-based decision-making and timely response to emerging situations.
Predictive analytics enables early detection, accurate information sharing, personalised treatment, and proactive care management, leading to better patient outcomes and reduced healthcare costs.
A single, centralised platform to access and share patient data within various departments and healthcare providers, ensuring consistent and coordinated care across various specialties and settings.
mPred’s digital records minimise the risk of errors caused by illegible handwriting or data entry mistakes, leading to improved patient safety and accuracy in treatment.
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