Query-Focused EHR Summarization to Aid Imaging Diagnosis

Understand

Electronic Health Records (EHRs) provide vital contextual information to radiologists and other physicians when making a diagnosis.

• Unfortunately, because a given patient's record may contain hundreds of notes and reports, identifying relevant information within these in the short time typically allotted to a case is very difficult.
• We propose and evaluate models that extract relevant text snippets from patient records to provide a rough case summary intended to aid physicians considering one or more diagnoses.
• This is hard because direct supervision (i.e., physician annotations of snippets relevant to specific diagnoses in medical records) is prohibitively expensive to collect at scale.