Each AlgoMarker performs machine learning-based signal analysis to identify patients with a greater chance of developing a certain disease or condition. EarlySign provides a platform to execute AlgoMarkers and integrate them into different work streams. This helps clinicians in their efforts to efficiently detect and intervene to prevent the onset or progression of high-burden diseases.
Create opportunities for enhanced care by recognizing those with prediabetes at high risk for progressing to diabetes within the next 12 months.
Finds patients at high risk for flu-related complications and enables individual outreach to promote vaccination.
Flagging prediabetic or patients with Type 2 diabetes at high-risk for progression of CKD in the coming 12 months
Exposes non-diabetics and Type 2 diabetics at high-risk for developing their first heart attack (myocardial infarction) within the next year.
Identifies people at risk for having Non-Small-Cell Lung Cancer (NSCLC) using routine, existing clinical labs, smoking history, demographic and EHR data.
Identifies individuals at increased risk for having COVID-19 complications.
To us, there’s nothing more important than moving the discussion from sick care to health care, with unyielding attention placed on keeping people healthier longer.
Medial EarlySign provides a suite of machine learning-based solutions that use routine, readily available EHR and clinical data to aid healthcare professionals with early detection and prevention of high-burden diseases.