Healthcare organizations’ data usage is important as it enables evidence-based medical decisions, personalized treatments, and medical research, ultimately leading to enhanced patient outcomes, improved operational efficiency, and advancements in medical knowledge and technologies. Synthetic data can significantly benefit healthcare organizations by providing privacy-preserving alternatives. It enables the creation of realistic and non-sensitive datasets, empowering researchers, clinicians, and data scientists to innovate, validate algorithms, and conduct analysis without compromising patient privacy.
Syntho’s platform positions Health organizations first
Syntho supports time series data and event data (often also referred to as longitudinal data), which typically occurs in health data.
Syntho supports and has experience with the various data types from EHRs, MHRs, surveys, clinical trials, claims, patient registries and many more
Syntho’s roadmap is aligned with strategic leading health organizations in the US and Europe
Syntho is the winner of the Global SAS Hackathon in Healthcare & Life Science
We are proud to announce that Syntho won in the healthcare and life sciences category after months of hard work on unlocking privacy-sensitive healthcare data with synthetic data as part of cancer research for a leading hospital.