RightPatient is the leading cloud biometric patient ID platform with customers such as Baptist Health South Florida, Catholic Health Long Island, Duke Health, and Community Medical Centers. Through its touchless, photo-based authentication engine, RightPatient prevents medical identity theft and duplicate medical records to improve patient safety and profitability for health systems. The platform can be used for remote identity proofing and authentication across various workflows. No special hardware is required and implementation is easy.

RightPatient is the #1 cloud-based, touchless biometric patient identification platform for healthcare. The solution prevents data corruption associated with duplicate medical records, overlays, and fraud that can impact patient safety, revenue cycle, and interoperability. RightPatient becomes a seamless module of EHR workflows and has been deployed with many EHR systems, including Epic, Cerner, Meditech, and more. The platform has been deployed in over 75 hospitals and 1,000 outpatient sites with customers like Grady Health, Duke Health, and Baptist Health South Florida.

Our API enables real-time transformation of unstructured healthcare data into structured data that can be used for search and analysis. Identify and extract over 9 million healthcare concepts with a single line of code.

More than 80% of healthcare data is unstructured; it is either physical or in a digital format that requires manual labor to analyze, such as images or typed/handwritten notes. Healthcare runs on notes, scans, and PDFs. Because healthcare data is designed for manual labor, it cannot be easily searched, analyzed, or used to improve patients' quality of care or reduce cost of care. Manual labor does not scale, and the data is growing: 2 zettabytes of healthcare data are generated each year. Historically, the healthcare industry has invested in protocols for the structured data it has, digitizing analog data but leaving it unstructured, and brute-forcing the unstructured data problem through manual labor. These solutions have plateaued. We have to solve the unstructured data problem in healthcare. ScienceIO envisions a future where we enable all healthcare companies — across R&D, clinical trials, real world evidence, digital health, reimbursement, to care delivery — to learn from their data in real-time, so we can develop the next generation of healthcare solutions.