Healthcare AI holds the potential to increase patient safety, augment efficiency and improve patient outcomes, yet research is often limited by data access, cohort curation, and tools for analysis.
We developed a methodology to overcome the traditional challenges in working with healthcare data and accelerate data acquisition, dataset development and analysis, and AI model development.
We created an interactive platform, Medical Record Longitudinal Information AI System (MERLIN) that relies on a scalable microservice backend. This system can ingest 15,000 patient records per hour, where each record represents thousands of multimodal measurements, text notes, and high-resolution data. Collectively, these records can approach a terabyte of data. The system can further perform cohort generation and preliminary dataset analysis in 2-5 minutes. As a result, multiple users can collaborate simultaneously to iterate on datasets and models in real time. We anticipate that this approach will drive real-world AI model development, and, in the long run, meaningfully improve healthcare delivery.
An overview of the MERLIN platform architecture. The MERLIN platform is described in greater detail.