Launched with a $215 million investment in the President Obama’s 2016 Budget, the Precision Medicine Initiative will pioneer a new model of patient-powered research that promises to accelerate biomedical discoveries and provide clinicians with new tools, knowledge, and therapies to select the treatments that will work best for their patients.
This guide analyzes how artificial intelligence – including machine learning – can be used by pharmaceutical and medical device companies to improve the clinical data review and cleansing process.
Most medical treatments have been designed for the “average patient.” As a result of this “one-size-fits-all” approach, treatments can be very successful for some patients, but not for others. This is changing with the emergence of precision medicine, an innovative approach to disease prevention and treatment that takes into account individual differences in people’s genes, environments, and lifestyles.1
Precision medicine gives clinicians tools to better understand the complex mechanisms underlying a patient’s health, disease, or condition, and to better predict which treatments will be most effective. Healthcare organizations and research centers are under a lot of pressure to translate scientific advances in molecular biology and targeted therapies, especially in the treatment of cancer. Today, we all recognize that cancer is an incredibly diverse group of disease and the ability to group individuals with matching genomic or proteomic profiles is a perfect example of a novel clinical trial design that can speed up saving lives.
Oracle Enterprise Healthcare Analytics (EHA) is an example of a predefined data model for correlating clinical and research data. Perficient’s life sciences and healthcare teams have the expertise in the design of translational research programs and implementation of such solutions.
We will be at Oracle Industry Connect (#OracleIC15) in Washington D.C. today and tomorrow, where the Life Sciences and Healthcare Program is scheduled to feature 15 sessions on a variety of topics, including innovation and transformation in clinical R&D, value-based healthcare, and personalized medicine. Stop by our kiosk (#108) in the Health Sciences Industry Networking Center to learn about our solutions or send us a note.