Literature DB >> 23926868

The truth about computer-assisted coding.

Mark Crawford1.   

Abstract

Mesh:

Year:  2013        PMID: 23926868

Source DB:  PubMed          Journal:  J AHIMA        ISSN: 1060-5487


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  6 in total

1.  Clinical trial cohort selection based on multi-level rule-based natural language processing system.

Authors:  Long Chen; Yu Gu; Xin Ji; Chao Lou; Zhiyong Sun; Haodan Li; Yuan Gao; Yang Huang
Journal:  J Am Med Inform Assoc       Date:  2019-11-01       Impact factor: 4.497

2.  Clinical concept normalization with a hybrid natural language processing system combining multilevel matching and machine learning ranking.

Authors:  Long Chen; Wenbo Fu; Yu Gu; Zhiyong Sun; Haodan Li; Enyu Li; Li Jiang; Yuan Gao; Yang Huang
Journal:  J Am Med Inform Assoc       Date:  2020-10-01       Impact factor: 4.497

3.  Problems and Barriers during the Process of Clinical Coding: a Focus Group Study of Coders' Perceptions.

Authors:  Vera Alonso; João Vasco Santos; Marta Pinto; Joana Ferreira; Isabel Lema; Fernando Lopes; Alberto Freitas
Journal:  J Med Syst       Date:  2020-02-08       Impact factor: 4.460

4.  Extracting medications and associated adverse drug events using a natural language processing system combining knowledge base and deep learning.

Authors:  Long Chen; Yu Gu; Xin Ji; Zhiyong Sun; Haodan Li; Yuan Gao; Yang Huang
Journal:  J Am Med Inform Assoc       Date:  2020-01-01       Impact factor: 4.497

5.  Improved efficiency of coding systems with health information technology.

Authors:  Jinhyung Lee; Jae-Young Choi
Journal:  Sci Rep       Date:  2021-05-13       Impact factor: 4.379

Review 6.  Health Information Management: Implications of Artificial Intelligence on Healthcare Data and Information Management.

Authors:  Mary H Stanfill; David T Marc
Journal:  Yearb Med Inform       Date:  2019-08-16
  6 in total

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