Medial EarlySign is developing a unique, algorithm-powered toolset using EHR and lab data to aid healthcare organizations. These clinical risk predictors allow healthcare providers to enhance outcome-based care opportunities by potentially delaying or preventing an illness, or even saving lives.
Medial EarlySign is building a suite of AI-based population health and clinical decision support solutions to help improve the prognosis and treatment options for patients with life-altering medical conditions. Powered by our cognitive algorithms that analyze ordinary medical data to decode hidden warning signs, the system identifies “subtle signals” within readily available EHR and low-cost laboratory data, with the ability to ‘flag’ those individuals with a higher risk for a targeted outcome.
These tools can help physicians and care managers identify life-altering patient health risks in their early stages, resulting in a smarter and more efficient healthcare system that provides personalized, timely medical treatments, potentially leading to better outcomes for all stakeholders.
Powered by machine learning algorithms that analyze and break down the mathematical composition of data, Medial EarlySign’s patented technology constructs connections between ordinary data and hidden insights – those untold stories in EHR files. These connections may help physicians identify health risks in patients that could lead to improvement in the healthcare system as well as personalized, timely medical care – a shift that can ultimately enrich the physician-patient relationship, and the way medicine is practiced today.