Evidence map›Paper›PMID 26958277›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2015

Evaluating Term Coverage of Herbal and Dietary Supplements in Electronic Health Records.

Rui Zhang, Nivedha Manohar, Elliot Arsoniadis, Yan Wang, Terrence J Adam, Serguei V Pakhomov, Genevieve B Melton

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Assessing the enrichment of dietary supplement coverage in the Unified Medical Language System.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
  6. Article
  7. Review
  8. Comparing Existing Resources to Represent Dietary Supplements.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2018
    Article
  9. Identifying natural health product and dietary supplement information within adverse event reporting systems.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2018
    Article
  10. Identifying Supplement Use Within Clinical Notes: An Applicationof Natural Language Processing.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2018
    Article
  11. Evaluating Automatic Methods to Extract Patients' Supplement Use from Clinical Reports.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2017
    Article
  12. Observational
  13. Article
  14. Term Coverage of Dietary Supplements Ingredients in Product Labels.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016
    Article
  15. Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Rui ZhangInstitute for Health Informatics; University of Minnesota, Minneapolis, MN; Department of Surgery; University of Minnesota, Minneapolis, MN.
Nivedha ManoharInstitute for Health Informatics; University of Minnesota, Minneapolis, MN.
Elliot ArsoniadisInstitute for Health Informatics; University of Minnesota, Minneapolis, MN; Department of Surgery; University of Minnesota, Minneapolis, MN.
Yan WangInstitute for Health Informatics; University of Minnesota, Minneapolis, MN.
Terrence J AdamInstitute for Health Informatics; University of Minnesota, Minneapolis, MN; College of Pharmacy; University of Minnesota, Minneapolis, MN.
Serguei V PakhomovInstitute for Health Informatics; University of Minnesota, Minneapolis, MN; College of Pharmacy; University of Minnesota, Minneapolis, MN.
Genevieve B MeltonInstitute for Health Informatics; University of Minnesota, Minneapolis, MN; Department of Surgery; University of Minnesota, Minneapolis, MN.

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR000114 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$35.0M
Discovery and Visualization of New Information from Clinical Reports in the EHRR01HS022085 · AHRQ · UNIVERSITY OF MINNESOTA · PI MELTON-MEAUX, GENEVIEVE B · 2013 to 2016
$1.9M
AHRQ HHS R01 HS022085NCATS NIH HHS UL1 TR000114
6 · The paper itself

Abstract

Herbal and dietary supplement consumption has rapidly expanded in recent years. Due to pharmacological and metabolic characteristics of some supplements, they can interact with prescription medications, potentially leading to clinically important and potentially preventable adverse reactions. Electronic health record (EHR) system provides a valuable source from which drug-supplement interactions can be mined and assessed for their clinical effects. A fundamental prerequisite is a functional understanding of supplement documentation in EHR and associated supplement coverage in major online databases. To address this, clinical notes and corresponding medication lists from an integrated healthcare system were extracted and compared with online databases. Overall, about 40% of listed medications are supplements, most of which are included in medication lists as nutritional or miscellaneous products. Gaps were found between supplement and standard medication terminologies, creating documentation difficulties in fully achieving robust supplement documentation in EHR systems. In addition, in the clinical notes we identified supplements which were not mentioned in the medication lists.

Indexed as

Dietary SupplementsDrug InteractionsElectronic Health RecordsTerminology as TopicDatabases, FactualHumansPrescription DrugsPrescription Drugs

Identifiers

PMID26958277
PMCPMC4765597

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.