Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
97 tokens/sec
GPT-4o
53 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

MedKnowts: Unified Documentation and Information Retrieval for Electronic Health Records (2109.11451v1)

Published 23 Sep 2021 in cs.HC

Abstract: Clinical documentation can be transformed by Electronic Health Records, yet the documentation process is still a tedious, time-consuming, and error-prone process. Clinicians are faced with multi-faceted requirements and fragmented interfaces for information exploration and documentation. These challenges are only exacerbated in the Emergency Department -- clinicians often see 35 patients in one shift, during which they have to synthesize an often previously unknown patient's medical records in order to reach a tailored diagnosis and treatment plan. To better support this information synthesis, clinical documentation tools must enable rapid contextual access to the patient's medical record. MedKnowts is an integrated note-taking editor and information retrieval system which unifies the documentation and search process and provides concise synthesized concept-oriented slices of the patient's medical record. MedKnowts automatically captures structured data while still allowing users the flexibility of natural language. MedKnowts leverages this structure to enable easier parsing of long notes, auto-populated text, and proactive information retrieval, easing the documentation burden.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (6)
  1. Luke Murray (2 papers)
  2. Divya Gopinath (21 papers)
  3. Monica Agrawal (24 papers)
  4. Steven Horng (17 papers)
  5. David Sontag (95 papers)
  6. David R. Karger (11 papers)
Citations (15)

Summary

We haven't generated a summary for this paper yet.