Measure, reduce, and monitor the risk of patient re-identification in health data so that you can feel confident in your HIPAA compliance
Learn moreYour entire privacy and compliance technology stack in one platform.
A fully decentralized, free, and open source PII tokenization tool. Built on a scalable distributed computing platform to handle the largest data assets. Portable enough to run on almost any environment. The canonical implementation of the Open Privacy Preserving Record Linkage (OPPRL) specification.
Using best in class reference databases and real-time big-data computation engines, Spindle regularly measures patient re-identification risk metrics and offers ongoing alerts if risk rises or decreases as new data arrives.
Spindle assesses datasets for their re-identification risk and derives a de-identification strategy that accounts for your organization’s unique trade-offs. A product with one goal: to provide a quantifiable, transparent solution to expert determination.
Once the Spindle platform understands your data and de-identification strategies, your data disclosures to partners will be automatically productionalized with automated deliveries and implicit risk monitoring.
We are 20-year veterans of the Real World Data industry who are experts on the data assets and their operational management. Every aspect of our products and software are designed and built with this expertise: from our tech, to our methodology, to our AI.
Expert in all things big-data with a decade of experience architecting and building data systems that unlock capabilities such as AI/ML, real time analytics, and record linkage for companies ranging from early stage startups to fortune 500. Active AI researcher with more than 20 publications and hundreds of citations. Passionate about healthcare and looking for any opportunity to bring new efficiency to this complex industry.
Julie brings more than 15 years of experience in building companies and products using de-identified patient data. She has been a trailblazer in Real World Data (RWD) and Real World Evidence (RWE) analytics, as well as AI/ML solutions for the life sciences industry. Previously, she served as Vice President of Health Research at Swoop/IPM.ai, where she collaborated on the development of the industry’s first HIPAA-certified solution that combines consumer and patient datasets. An expert in tokenization and the application of patient-level data, Julie is also formally trained in U.S. Private-Sector Privacy through the International Association of Privacy Professionals.
Rich brings forth over three decades of executive expertise in Real-World Data (RWD). His illustrious career in leadership has spanned some of the most eminent entities in the industry, including Health Market Science (now Lexis Nexis), a Founder of Aileron Solutions (now IQVIA), and an early investor and contributor Universal Patient Key (now DataVant). He is widely acknowledged as a luminary in patient-level data and tokenization. Rich's enduring legacy of innovation and the conception of products leveraging de-identified data has been pivotal in sculpting the healthcare data landscape into its current form. These pioneering products are leveraged by myriad companies in life sciences, medical devices, and other related sectors.
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Contact
P.O. Box 112
Devault, PA 19432
(800) 657-5086