was successfully added to your cart.

EHR Question Answering

The last decade has seen widespread adoption of electronic health records (EHRs) across hospitals and clinics in the US. Physicians frequently seek answers to questions from a patient’s EHR to support clinical decision-making.

It is not too hard to imagine a future where a physician interacts with an EHR system and asks it complex questions and expects precise answers with adequate context from a patient’s record. Central to such a world is a medical question answering system that processes natural language questions asked by physicians and finds answers to the questions from all sources in a patient’s record.

I will talk about the steps we have taken towards building such a system in terms of (1) creating a large-scale dataset emrQA with over 1M questions, logical forms (that capture information/answering needs in a structured format), and answers in clinical notes, (2) building a model for semantic parsing to map questions to logical forms and (3) building an automatic medical question answering system that answers these questions.

I will also discuss the challenges and roadblocks and lay out a vision for how we can make further progress in realizing such a future.

Industry Survey Analysis: AI in Healthcare 2021

We recently conducted an industry survey of organizations using AI applications in healthcare and life sciences. The intent is to discover trends...