Measure, reduce, and monitor the risk of patient re-identification in health data so that you can feel confident in your HIPAA compliance
Learn moreThe next generation of PII tokenization. An ecosystem built on free and open source software and protocols. Designed to remove barriers to tokenization and increase compliant data interoperability.
Free and Open
The Spindle Token is a free, compliant open-source software. The OPPRL protocol and its implementations are maintained in the open.
Decentralized
No costs and no contract. Manage your encryption keys and collaborate directly with your partners. Eliminate the middleman to streamline operations and accelerate results.
Scalable & Compatible
Embarrassingly parallel tokenization built for modern high performance computing infrastructure.
Limitless
Operate without the confines of a fractured data ecosystem. No need to pay the "token tax."
Data with context. A secure portal for buyers and sellers to analyze data before acquisition—understand cohort overlap, coverage, and value. No more buying blind.
Speed -Upload privacy safe patient or provider cohorts in minutes. Generate overlap and coverage reports on demand. Understand overlap and lift before you make an investment.
Customize by Your Rules & Qualifications -Create cohorts of patients and providers by any therapeutic area or target market and get reports stratified by privacy safe demographics.
Pay By Usage -Pay by the report & volume.
The full-stack, fit for purpose, data de-identification platform. Automates HIPAA Expert Determination workflows and keeps your organization safe without sacrificing utility.
Understand the Quantified Risk
Gain a transparent, quantified view of your re-identification risks. Understand how each variable contributes to overall risk so you can make confident decisions and easily communicate the impact to others.
Customize What Matters Most
Prioritize key fields to customize de-identification strategies that retain essential data while maintaining privacy and compliance. Built to generate tailored options based on your goals.
Minimize Redactions
Our AI generates de-identification strategies that preserve valuable data and prevent broad nullification. Unlike traditional methods, it precisely targets risk—modifying only what’s necessary to keep data compliant.
Accelerate Time to Insight
Dramatically streamlines the Expert Determination workflow, cutting timelines from months to days—or even hours. Extensible Certifications that keep you compliant while enabling adaptability.
Automates Remediations
Automates data remediations to deliver compliant datasets—saving time, reducing costs, and shifting the compliance workload off your team. Ensures reliable, consistent de-identification every time.
Ongoing Risk Monitoring
Continuously monitors re-identification risk as new data flows in, automatically alerting you to changes in risk. Data is always evolving—your technology should be just as dynamic.
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 25 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.
Interesting in joining Spindle Health?
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Contact
P.O. Box 112
Devault, PA 19432
(800) 657-5086
