TripleBlind recently hosted a virtual roundtable discussion featuring thought leaders from Mayo Clinic and Novartis to explore the current state of data sharing in healthcare. TripleBlind’s co-founder and CEO, Riddhiman Das, was joined by Mayo Clinic’s Dr. Paul Friedman and Dr. Suraj Kapa and Sukant Mittal from Novartis.
Current issues surrounding data sharing in healthcare
While the expansion of electronic medical records and technological advancements have led to vast amounts of health data, this data is not broadly shared due to concerns about personal identifiable information (PII) and protected health information (PHI).
When this data is not readily available to share and use, healthcare professionals cannot access information which would create a more equitable pool of patient data and lead to advancements in diagnosis and treatments. Doctors need a way to both respect patient privacy, but gain access to more comprehensive health histories.
How the issue is currently being addressed
While complying with data privacy regulations, healthcare organizations are still doing all they can to ensure data pools are unbiased.
Mayo Clinic currently validates independent cross populations – different ethnicities, races, etc. – within its own data sets. This task becomes more difficult when talking about a global population and the regulations that differ between different countries.
Training data is essential to Mayo as they capture data from the broadest possible population. Mayo’s neural networks can detect subtle, interrelated patterns that translate the hidden signals the human body gives off all the time, but will not function properly if untrained. Today, Mayo has roughly 30 hospitals from four continents providing data and they are continually expanding as permitted.
In a perfect world, data sharing would be more horizontal
While institutions like Mayo work to remain unbiased and ethical, there remains a void globally across the healthcare industry to ethically and compliantly crowdsource patient information.
During the webinar with TripleBlind, Dr. Suraj Kapa mentioned that ideally, in the future of digital health, institutions could move away from monopolies of data and sharing data would be more horizontal. Organizations would be able to access data that reflects the broader concept of the world’s population rather than segmented, narrow cohorts of patients.
Compliantly sharing crowdsourced healthcare information in real time would create limitless possibilities and accelerate discovery and understanding for healthcare providers.
How TripleBlind can help healthcare institutions achieve this desired outcome
When it comes to private healthcare data, TripleBlind aims to enable the liquidity of this data in order to enable and foster innovation in healthcare.
TripleBlind’s groundbreaking solution allows highly-regulated enterprises like healthcare institutions to gain and share de-identified data without ever decrypting it. When de-identified data is shared, there is no chance of compliance issues or of the data being re-identified. TripleBlind enables institutions to leverage third-party data or allow third parties to use their data while guaranteeing that the data is going to be used for the stated purpose.
With TripleBlind’s technology, organizations can cover global ground rather than operating against the specific, narrow regulations that vary worldwide.
To learn more about how TripleBlind’s technology can open the door to compliant data sharing for your organization, please reach out to email@example.com for a free demo. To watch a video of the roundtable featuring TripleBlind, Mayo Clinic and Novartis, visit here.