Abstractive Health, a trailblazer in healthcare, is revolutionizing clinical documentation with its advanced digital AI assistant, specifically designed to streamline the workload for physicians. At the core of their offerings is EHR (Electronic Health Records) Summarization, a transformative process that distills extensive medical notes into key sentences, allowing doctors to focus on decision-making and patient care without the weight of exhaustive documentation.
The company’s seamless product integration with EMRs provides clinicians with a comprehensive patient summary through a single click. Empowered by LLaMA-2, an advanced NLP transformer from Meta, Abstractive Health’s technology attains accuracy equivalent to physician-written summaries. This groundbreaking system is fortified by a robust dataset developed in collaboration with Weill Cornell Medicine, ensuring factual and contextually relevant summaries while preventing predictions of medical terms not present in source notes.
With an overarching mission to alleviate clinician burnout, Abstractive Health’s intelligent digital assistant, addresses clinicians’ queries about patient electronic health charts. By condensing essential patient information and reducing EHR navigation time, the company empowers physicians to prioritize patient care over administrative tasks.
Ritika Poddar, the CTO and co-founder, brings a wealth of experience in software engineering and technical product management, further enhancing Abstractive Health’s capabilities. With a background at Verizon Media, Fig – Food Is Good, and IBM iX, Ritika has played a key role in developing technical solutions. Currently pursuing dual master’s degrees from Cornell Tech and Cornell University, Ritika’s expertise is instrumental in the company’s mission to leverage machine learning for automated medical record summarization.
