There are 210 Million diagnosed diabetics in the world. Their clinical treatment and outcome data exists in unstructured and disorganized formats in EMR systems across the world. We take that data, label it with the help of endocrinologists and feed it to Precision Rx. Within due course, Precision Rx becomes smart and distinguishes ‘Effective’ Drug Outcomes from ‘Ineffective Ones’
Precision Rx benchmarks a patient’s health data against prescription and outcome data of thousands of patients from across the globe thus issuing on demand prescription guidance. By simulating treatment outcomes for all 11 Type-2 diabetes drug classes, clinicians can overcome trial and error.
Precision Rx interfaces seamlessly with an EHR platform and sources only the necessary patient data required to make a sound prescription decision.
The average spend on T2D per patient in the US is ~$17,000 per year. Reduce the burden by limiting medication switching.
Achieve better outcomes in HbA1C levels and hypoglycemic episodes by matching patients to the best available drug
Precision medicine selection to reduce side-effects such as acne, metallic taste, hypoglycemic episodes
Precision Rx is a pure Big Data solution with no lengthy diagnostic test ordering cycles or CPT code approval process
Physicians play an integral role in our product dev journey - right from concept inception to prototype testing to clinical implementation. We’re conceiving Precision Rx as a tool for physicians by physicians.Physician Testimonials
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The ability to use machine learning to analyze data and tailor prescriptions to an individual patient’s profile has the potential to improve medication compliance and overall management of type 2 diabetes. Keeping diabetes well controlled decreases costly complications of the disease (infection, cardiovascular disease, kidney damage), which is beneficial to patients, doctors and health care systems.
Emergency Medicine Physician at Comanche County Memorial Hospital, Oklahoma City;
Former Resident at UCLA Health, Los Angeles
" One size does not fit all. " We as physicians have known this for a long time but still continue to expect all our patients to recover with trial and error medication practices. The time has come for personalized medication plans through a data-driven solution that fits seamlessly within our current clinical workflow. Aevus is engineering a tool that I can envision helping thousands of patients experience better outcomes across the globe achieve better glycemic control, while enjoying lower treatment costs.
Physician at Oklahoma City Veteran Affairs Health System, Oklahoma City;
Fellow of the Royal College of Ob-Gyn London
Precision medicine powered by predictive analytics leads to improved diabetes treatment
Sr. Endocrinologist at Samatvam Diabetes
Endocrinology Center, Bangalore, India