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Literature DB >> 34035788

Electronic Health Record (EHR) Abstraction.

Amal A Alzu'bi, Valerie J M Watzlaf, Patty Sheridan.

Abstract

The purpose of electronic health record (EHR) abstraction includes collection of data related to administrative coding functions, quality improvement, clinical registry functions and clinical research. This article examines the different abstraction methods, such as manual abstraction, simple query, and natural language processing (NLP). It also discusses the advantages and disadvantages of each of those methods. The process used for successful EHR abstraction is also discussed and includes the scope and resources needed (time, budget, type of healthcare professionals RHIA, RHIT, etc.). The relationship between EHRs and the clinical registry is also examined with a focus on validity of the data extracted. Future research in this area to examine abstraction methods across hospitals who do data abstraction are being finalized for a future publication.

Keywords: EHR; Electronic health record; NLP; abstraction; natural language processing; patient safety; quality improvement; query

Year: 2021 PMID： 34035788 PMCID： PMC8120673

Source DB: PubMed Journal: Perspect Health Inf Manag ISSN： 1559-4122

45 in total

1. Implementation and evaluation of a negation tagger in a pipeline-based system for information extract from pathology reports.

Authors: Kevin J Mitchell; Michael J Becich; Jules J Berman; Wendy W Chapman; John Gilbertson; Dilip Gupta; James Harrison; Elizabeth Legowski; Rebecca S Crowley
Journal: Stud Health Technol Inform Date: 2004

2. Biomedical negation scope detection with conditional random fields.

Authors: Shashank Agarwal; Hong Yu
Journal: J Am Med Inform Assoc Date: 2010 Nov-Dec Impact factor: 4.497

3. Coding and quality reporting: resolving the discrepancies, finding opportunities.

Authors: Nelly Leon-Chisen
Journal: J AHIMA Date: 2007 Jul-Aug

Review 4. Extracting information from textual documents in the electronic health record: a review of recent research.

Authors: S M Meystre; G K Savova; K C Kipper-Schuler; J F Hurdle
Journal: Yearb Med Inform Date: 2008

5. Handling anticipated exceptions in clinical care: investigating clinician use of 'exit strategies' in an electronic health records system.

Authors: Kai Zheng; David A Hanauer; Rema Padman; Michael P Johnson; Anwar A Hussain; Wen Ye; Xiaomu Zhou; Herbert S Diamond
Journal: J Am Med Inform Assoc Date: 2011-06-14 Impact factor: 4.497

6. Using natural language processing to improve efficiency of manual chart abstraction in research: the case of breast cancer recurrence.

Authors: David S Carrell; Scott Halgrim; Diem-Thy Tran; Diana S M Buist; Jessica Chubak; Wendy W Chapman; Guergana Savova
Journal: Am J Epidemiol Date: 2014-01-30 Impact factor: 4.897

7. Limited parsing of notational text visit notes: ad-hoc vs. NLP approaches.

Authors: R C Barrows Jr; M Busuioc; C Friedman
Journal: Proc AMIA Symp Date: 2000

Review 8. The emerging role of electronic medical records in pharmacogenomics.

Authors: R A Wilke; H Xu; J C Denny; D M Roden; R M Krauss; C A McCarty; R L Davis; T Skaar; J Lamba; G Savova
Journal: Clin Pharmacol Ther Date: 2011-01-19 Impact factor: 6.875

Review 9. Enabling health care decisionmaking through clinical decision support and knowledge management.

Authors: David Lobach; Gillian D Sanders; Tiffani J Bright; Anthony Wong; Ravi Dhurjati; Erin Bristow; Lori Bastian; Remy Coeytaux; Gregory Samsa; Vic Hasselblad; John W Williams; Liz Wing; Michael Musty; Amy S Kendrick
Journal: Evid Rep Technol Assess (Full Rep) Date: 2012-04

5. Multicenter Validation of Natural Language Processing Algorithms for the Detection of Common Data Elements in Operative Notes for Total Hip Arthroplasty: Algorithm Development and Validation.

Authors: Peijin Han; Sunyang Fu; Julie Kolis; Richard Hughes; Brian R Hallstrom; Martha Carvour; Hilal Maradit-Kremers; Sunghwan Sohn; V G Vinod Vydiswaran
Journal: JMIR Med Inform Date: 2022-08-31

5 in total

Electronic Health Record (EHR) Abstraction.

1. Implementation and evaluation of a negation tagger in a pipeline-based system for information extract from pathology reports.

2. Biomedical negation scope detection with conditional random fields.

3. Coding and quality reporting: resolving the discrepancies, finding opportunities.

Review 4. Extracting information from textual documents in the electronic health record: a review of recent research.

5. Handling anticipated exceptions in clinical care: investigating clinician use of 'exit strategies' in an electronic health records system.

6. Using natural language processing to improve efficiency of manual chart abstraction in research: the case of breast cancer recurrence.

7. Limited parsing of notational text visit notes: ad-hoc vs. NLP approaches.

Review 8. The emerging role of electronic medical records in pharmacogenomics.

Review 9. Enabling health care decisionmaking through clinical decision support and knowledge management.

10. Secondary Use of EHR: Data Quality Issues and Informatics Opportunities.

1. Using health insurance claims data to assess long-term disease progression in a prostate cancer cohort.

Review 2. Digital health technology-specific risks for medical malpractice liability.

3. Searching Full-Text Anatomic Pathology Reports Using Business Intelligence Software.

4. ReviewR: a light-weight and extensible tool for manual review of clinical records.

5. Multicenter Validation of Natural Language Processing Algorithms for the Detection of Common Data Elements in Operative Notes for Total Hip Arthroplasty: Algorithm Development and Validation.