Clinical documentation can be transformed by Electronic Health Records, yet the documentation process is still a tedious, timeconsuming, and error-prone process. Clinicians are faced with multi-faceted requirements and fragmented interfaces for …
We present a system that uses a learned autocompletion mechanism to facilitate rapid creation of semi-structured clinical documentation. We dynamically suggest relevant clinical concepts as a doctor drafts a note by leveraging features from both …