Why we built Lynx.MD
Data is the driving force behind future advancements in medical technology and the development of next-generation diagnostics & therapeutics. To make a powerful impact on the health of millions of people requires unparalleled access and the ability to collaborate using high-quality, real-world patient data that is securely shared and minimizes the risk to patient privacy.
Clinical decision-support AI for reducing medical errors;
The use of medical images to diagnose emerging medical conditions;
Expanding access to quality care for underserved populations;
Providing longitudinal medical records to reduce readmissions and run effective preventative care programs that improve outcomes and reduce the cost of care.
Yet, gaining access to real-world patient data and rich datasets for collaboration and research has been prohibitively burdensome and a bottleneck to progress for several reasons:
Prior methods for de-identifying patient records reduce the utility of the data. In addition, because de-identification changes the data, there's a gap between how the AI models were trained and what the data was tested on, essentially leaving out critical information.
Aggregation and de-identification of real-world patient data is such a big undertaking that it's usually done once, and then the data remains static. In other words, new sources that could feed or update the data models aren’t used.
Linking to and querying information sources can result in personal data re-identification, making this practice risky for patient privacy for healthcare organizations.
That’s where Lynx comes in. We are a medical intelligence platform that brings together disparate elements of the healthcare data ecosystem to empower truly collaborative research and development at scale without compromising security or privacy. Leading medical institutions globally trust our platform with millions of patient records.
The Lynx platform processes structured (such as forms) and unstructured (such as physician’s notes or medical images). Patient data is de-identified on the fly and always compliant with privacy regulations.
The Lynx platform processes and makes data available in real-time, making datasets fresh and continuously updated.
Platform users can browse the Lynx catalog and explore diverse datasets inside a private cloud environment that is military-grade secure.
The Lynx Data Science Workbench provides the tools needed to train and validate models inside the private cloud environment, giving the researchers the flexibility and tools they need.
The Lynx cloud-based medical intelligence platform accelerates the time-to-market and time-to-value healthcare solutions by allowing customers to collect, analyze and share medical data without compromising patient privacy or data security. We’re proud to be backed by top-tier VCs, including Amdocs, iAngels, Mizmaa, New York Life Ventures, Seed IL, Triventures, and UpWest.
Everyone ends up interacting with the health system and tackling these issues is key to transforming the medical care we all receive and integrating novel solutions into an otherwise traditional industry. Solving these challenges will help re-invent healthcare as a data-first ecosystem bringing the best level of care to the people that really need it.