Literature DB >> 30815092

Improving the Path from Diagnoses to Documentation: A Cognitive Review Tool for Clinical Notes and Administrative Records.

Yufan Guo1, Joy Wu1, Tyler Baldwin1, David Beymer1, Vandana V Mukherjee1, Tanveer F Syeda-Mahmood1.   

Abstract

EMR systems are intended to improve patient-centered care management and hospital administrative processing. However, the information stored in EMRs can be disorganized, incomplete, or inconsistent, creating problems at the patient and system level. We present a technology that reconciles inconsistencies between clinical diagnoses and administrative records by analyzing free-text notes, problem lists and recorded diagnoses in real time. A fully integrated pipeline has been developed for efficient, knowledge-driven extraction, normalization, and matching of disease terms among structured and unstructured data, with modular precision of 94-98% on over 1000 patients. This cognitive data review tool improves the path from diagnosis to documentation, facilitating accurate and timely clinical and administrative decision-making.

Entities:  

Mesh:

Year:  2018        PMID: 30815092      PMCID: PMC6371384     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  18 in total

1.  Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications.

Authors:  Guergana K Savova; James J Masanz; Philip V Ogren; Jiaping Zheng; Sunghwan Sohn; Karin C Kipper-Schuler; Christopher G Chute
Journal:  J Am Med Inform Assoc       Date:  2010 Sep-Oct       Impact factor: 4.497

2.  The problem list beyond meaningful use. Part I: The problems with problem lists.

Authors:  Casey Holmes
Journal:  J AHIMA       Date:  2011-02

3.  Challenges in clinical natural language processing for automated disorder normalization.

Authors:  Robert Leaman; Ritu Khare; Zhiyong Lu
Journal:  J Biomed Inform       Date:  2015-07-14       Impact factor: 6.317

4.  DEEPEN: A negation detection system for clinical text incorporating dependency relation into NegEx.

Authors:  Saeed Mehrabi; Anand Krishnan; Sunghwan Sohn; Alexandra M Roch; Heidi Schmidt; Joe Kesterson; Chris Beesley; Paul Dexter; C Max Schmidt; Hongfang Liu; Mathew Palakal
Journal:  J Biomed Inform       Date:  2015-03-16       Impact factor: 6.317

5.  Data quality of electronic medical records in Manitoba: do problem lists accurately reflect chronic disease billing diagnoses?

Authors:  Alexander Singer; Sari Yakubovich; Andrea L Kroeker; Brenden Dufault; Roberto Duarte; Alan Katz
Journal:  J Am Med Inform Assoc       Date:  2016-04-23       Impact factor: 4.497

6.  Unsupervised Abbreviation Expansion in Clinical Narratives.

Authors:  Michel Oleynik; Markus Kreuzthaler; Stefan Schulz
Journal:  Stud Health Technol Inform       Date:  2017

7.  NCBI disease corpus: a resource for disease name recognition and concept normalization.

Authors:  Rezarta Islamaj Doğan; Robert Leaman; Zhiyong Lu
Journal:  J Biomed Inform       Date:  2014-01-03       Impact factor: 6.317

8.  Evaluating the state of the art in disorder recognition and normalization of the clinical narrative.

Authors:  Sameer Pradhan; Noémie Elhadad; Brett R South; David Martinez; Lee Christensen; Amy Vogel; Hanna Suominen; Wendy W Chapman; Guergana Savova
Journal:  J Am Med Inform Assoc       Date:  2014-08-21       Impact factor: 4.497

9.  Ground Truth Creation for Complex Clinical NLP Tasks - an Iterative Vetting Approach and Lessons Learned.

Authors:  Jennifer J Liang; Ching-Huei Tsou; Murthy V Devarakonda
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2017-07-26

10.  Hedge Scope Detection in Biomedical Texts: An Effective Dependency-Based Method.

Authors:  Huiwei Zhou; Huijie Deng; Degen Huang; Minling Zhu
Journal:  PLoS One       Date:  2015-07-28       Impact factor: 3.240

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