Over-testing is defined as the unnecessary and avoidable laboratory tests being done and results in extra laboratory and physician consulting hours, unnecessary kits and materials consumed, avoidable pharmaceutical costs and loss of confidence in the doctor’s advice and health care systems and services.
Have you ever thought about how much money you could save by preventing over-testing or how much your health service would improve by means of a faster differential diagnosis?
U.S. Healthcare Waste Per Year in Over-testing: $210 Billion
and results in
Hundreds of thousands of extra laboratory hours
Millions of extra physician consulting hours
Unnecessary kits and materials consumed
Avoidable pharmaceutical costs
Confidence in the doctor’s advice and healthcare systems
Artificial intelligence: state-of-the-art differential diagnostics
Save Money By Avoiding Over-Testing. Increase Accuracy & Speed. Invest in Health & Patient Satisfaction.
Save $ by avoiding Over-testing
Accuracy & Speed
Health & Patient Satisfaction
Our team
The heart of iLab Systems consists of a visionary group of scientists and an extensive group of consultants including experts in oncology, health insurance and resource mobilization. Together, we are a creative team of experts in medical genomics, statistical genetics, data science, machine learning, bioinformatics, clinical trials and biotech consulting.
Machine Learning
Data Science and Analytics
Software Engineering & User Interface
Engage Development
Healthcare Insurance Companies
Hospitals & Healthcare Systems
Pharma & CROs
Phenotype patients, predict response to placebos, analyze genomic and epigenomic data, genome-wide association studies, and more…
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