Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records

JK De Freitas, KW Johnson, E Golden, GN Nadkarni… - Patterns, 2021 - cell.com
Robust phenotyping of patients from electronic health records (EHRs) at scale is a challenge
in clinical informatics. Here, we introduce Phe2vec, an automated framework for disease …

Medknowts: unified documentation and information retrieval for electronic health records

L Murray, D Gopinath, M Agrawal, S Horng… - The 34th Annual ACM …, 2021 - dl.acm.org
Clinical documentation can be transformed by Electronic Health Records, yet the
documentation process is still a tedious, time-consuming, and error-prone process …

Towards scalable structured data from clinical text

M Agrawal - 2023 - dspace.mit.edu
The adoption of electronic health records (EHRs) presents an incredible opportunity to
improve medicine both at the point-of-care and through retrospective research …

Unified Documentation and Information Retrieval for Electronic Health Records

L Murray - 2022 - dspace.mit.edu
Clinicians in the Emergency Department want to efficiently provide and document high-
quality care but cannot, mainly due to challenges exacerbated by Electronic Health Records …

[PDF][PDF] Enhanced Clinical Documentation

L Murray, D Gopinath, M Agrawal, S Horng, D Sontag… - 2021 - dspace.mit.edu
Clinical documentation can be transformed by Electronic Health Records, yet the
documentation process is still a tedious, timeconsuming, and error-prone process. Clinicians …

ML-driven clinical documentation

D Gopinath - 2020 - dspace.mit.edu
Electronic health records (EHRs) have irrevocably changed the practice of medicine by
systematizing the collection of patient-level data. However, clinicians currently spend more …