Delivering Innovations in Predictive Analytics for Healthcare
Go beyond the status quo to protect your patients with cutting-edge AI technology
Morley Medical is a proven innovator in artificial intelligence, machine learning, and clinical data services, using predictive analytics tools to solve one of healthcare’s biggest problems globally—preventing infectious disease. Predictive analytics play a key role in infectious disease prevention and management. By analyzing data from various sources, our predictive analytics help identify individuals who are at risk of developing certain diseases, even before symptoms appear.
Infectious Diseases Can Have Long-Lasting, Wide-Ranging Impacts
An infectious disease is a type of illness caused by a pathogenic microorganism such as a virus, bacteria, fungus, or parasite that can spread from one person to another through direct or indirect contact. Examples of infectious diseases include common cold, influenza, pneumonia, sepsis, measles, tuberculosis, HIV/AIDS, malaria, and COVID-19. These diseases can range from mild to severe, affect different parts of the body, and have extended negative impacts on various other illnesses and medical conditions.
Preventing Infectious Disease is Crucial, But No Easy Task
Preventing infectious diseases is one of the most crucial roles healthcare providers take on, but it’s no easy task. Whether it’s in a busy hospital, an assisted-living facility or a physician’s office, there are constant challenges—some expected, others not so much—that can make disease prevention feel like an uphill battle. Resource constraints, health guidelines, insurance regulations, and caregiver burnout are just some of the hurdles the healthcare industry must overcome to keep infectious diseases at bay.
Morley Medical Offers Unmatched Disease Monitoring Accuracy
Morley Medical’s PRIMO™ AI-powered disease monitoring technology has been validated through a series of clinical trials and has demonstrated an overall high prediction accuracy. In sepsis clinical trials, the AI disease monitoring tool demonstrated a prediction accuracy of more than 95 percent. Results showed that we accurately identified patients trending toward sepsis as a result of various infectious diseases such as pneumonia, urinary tract infections, COVID, etc. This is why we can accurately predict and identify patients trending toward these disease states using available clinical data.
