With our CARE™ platform, providers can identify patients trending towards a disease or surgical procedure, contact them for early intervention, and provide care, often with better outcomes and lower costs.
Using predictive modeling and machine learning techniques, combined with the expertise of our data scientists, we have created 48 disease prediction models to provide better care for your patient population.
The predictive models in our CARE™ platform analyze billions of medical claims to identify risk factors of early disease onset or surgical procedure. With this information, diagnosis and treatment can happen earlier, potentially saving lives.
"Our algorithms evaluate de-identified patient claims records and create scores that can identify early indicators of a particular disease or the need for a surgical procedure. We then advise hospitals on how to re-identify these patients so the hospital can reach out to them for screenings," says Todd Charest, Chief Product Officer for Perception Health.
Current Disease Prediction Models
Acute Myocardial Infarction Acquired Hypothyroidism Alzheimer’s Disease Anemia Anxiety Asthma Atrial Fibrillation Bariatric Medicine Breast Cancer Bronchitis Bronchiectasis Chronic Kidney Disease Chronic Obstructive Pulmonary Disease Colorectal Cancer Congestive Heart Failure Depression Diabetes Diabetes Type 1 Diabetes Type 2 Emphysema Endometrial Cancer Fibromyalgia Glaucoma Heart Transplant
Hip/Pelvic Fracture Hip Replacement Hyperlipidemia Hypertension Ischemic Heart Disease Knee Replacement Leukemia Lung Cancer Lymphoma Metastatic Brain Tumor Multiple Sclerosis Opioid Dependency Osteoarthritis Osteoporosis Ovarian Cancer Parkinson’s Disease Prostate Cancer Rheumatoid Arthritis Resuscitation Senile Dementia Sleep Apnea Total Joint Replacement Trigeminal Neuralgia Ventricular Assist Device