The proliferation of targeted oncology therapies has ushered in the precision medicine era, but if caregivers don’t have easy access to the information that allows them to determine the correct course of treatment for each individual patient, these advances fail to realize their full potential and patients aren’t able to reap the benefits. Due to historic oncology data collection, standardization and management challenges, and increasingly tight physician bandwidth, providers need a trusted and efficient way to analyze the most recent data regarding new diagnostics and treatments, so that each patient can be presented with the most appropriate, effective care plan for their unique healthcare needs.
The Syapse Learning Health Network (LHN) enables improved cancer care through collaboration. Leveraging the LHN, healthcare providers can learn which cancer treatments produced the best real-world outcomes in clinically and molecularly similar patients. Further, researchers can learn from real-world clinical, molecular, treatment, and outcomes data. These collaborations are enabled by a secure platform of shared de-identified data that is standardized and normalized across the LHN.
“Bayhealth is committed to providing community cancer care that is comprehensive, cutting edge, and personalized,” said Rishi Sawhney, MD, medical director of the Bayhealth Cancer Institute. “Our recently launched Precision Oncology Program focuses on the molecular profile of each individual cancer so that the most appropriate personalized treatment options may be considered. Our work with Syapse and the Syapse Learning Health Network will allow Bayhealth clinicians and researchers to leverage the latest technology to further advance personalized cancer care by increasing access to cutting-edge therapies and significantly expanding our clinical research efforts.”
Source: Hit Consultant
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