ELECTRONIC HEALTH RECORD (EHR) ABSTRACTION.
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,...
| Publicado en: | Perspectives in Health Information Management pp. 1 - 15 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
American Health Information Management Association
Spring2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=149624835&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 149624835 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15594122 2QEL jtl: Perspectives in Health Information Management issn: 15594122 maglogo: N pubinfo: dt: Spring2021 pid: 6825 pub: American Health Information Management Association place: Chicago, Illinois artinfo: ui: 149624835 149624835 ppf: 1 ppct: 14 formats: fmt: @attributes: type: P tig: atl: ELECTRONIC HEALTH RECORD (EHR) ABSTRACTION. aug: au: Alzu'bi, Amal A. Watzlaf, Valerie J. M. Sheridan, Patty affil: Assistant Professor- Department of Computer Information Systems, Jordan University of Science and Technology in Irbid, Jordan sug: subj: Electronic Health Records Natural Language Processing Patient Safety Quality Improvement ab: 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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