Automated indexing using NLM's Medical Text Indexer (MTI) compared to human indexing in Medline: a pilot study.
Objective: In 2002, the National Library of Medicine (NLM) introduced semi-automated indexing of Medline using the Medical Text Indexer (MTI). In 2021, NLM announced that it would fully automate its indexing in Medline with an improved MTI by mid-2022. This pilot study examines indexing using a samp...
| Publicado en: | Journal of the Medical Library Association Vol. 111; no. 3; pp. 684 - 695 |
|---|---|
| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
University of Pittsburgh, University Library System
Jul2023
|
| 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=170713796&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 170713796 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15365050 PI8 jtl: Journal of the Medical Library Association issn: 15365050 maglogo: N pubinfo: dt: Jul2023 vid: 111 iid: 3 pid: 60406 pub: University of Pittsburgh, University Library System place: Pittsburgh, Pennsylvania artinfo: ui: 170713796 170713796 170713796 10.5195/jmla.2023.1588 170713796 ppf: 684 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Automated indexing using NLM's Medical Text Indexer (MTI) compared to human indexing in Medline: a pilot study. aug: au: Chen, Eileen Bullard, Julia Giustini, Dean affil: Student, University of British Columbia, School of Information, Vancouver, British Columbia, Canada sug: subj: National Library of Medicine (U.S.) Medical Literature Abstracting and Indexing Methods Automation Medline Software Human Pilot Studies Male Female Vocabulary, Controlled Medicine Serial Publications Journal Impact Factor PubMed Sex Factors Data Quality Librarians Information Retrieval Literature Searching Citation Analysis Emergencies Hypertension Nursing Practice Job Satisfaction Genetic Counseling Genetic Screening Grammar Male Female ab: Objective: In 2002, the National Library of Medicine (NLM) introduced semi-automated indexing of Medline using the Medical Text Indexer (MTI). In 2021, NLM announced that it would fully automate its indexing in Medline with an improved MTI by mid-2022. This pilot study examines indexing using a sample of records in Medline from 2000, and how an early, public version of MTI's outputs compares to records created by human indexers. Methods: This pilot study examines twenty Medline records from 2000, a year before the MTI was introduced as a MeSH term recommender. We identified twenty higher- and lower-impact biomedical journals based on Journal Impact Factor (JIF) and examined the indexing of papers by feeding their PubMed records into the Interactive MTI tool. Results: In the sample, we found key differences between automated and human-indexed Medline records: MTI assigned more terms and used them more accurately for citations in the higher JIF group, and MTI tended to rank the Male check tag more highly than the Female check tag and to omit Aged check tags. Sometimes MTI chose more specific terms than human indexers but was inconsistent in applying specificity principles. Conclusion: NLM's transition to fully automated indexing of the biomedical literature could introduce or perpetuate inconsistencies and biases in Medline. Librarians and searchers should assess changes to index terms, and their impact on PubMed's mapping features for a range of topics. Future research should evaluate automated indexing as it pertains to finding clinical information effectively, and in performing systematic searches. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|