Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 277

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

GEM: A Proposal for a More Comprehensive Guideline Document Model Using XML

Open access
Shiffman, R. N., Karras, B. T., Agrawal, A., Chen, R., Marenco, L., Nath, S.·2000·Journal of the American Medical Informatics Association

Abstract

OBJECTIVE: To develop a guideline document model that includes a sufficiently broad set of concepts to be useful throughout the guideline life cycle. DESIGN: Current guideline document models are limited in that they reflect the specific orientation of the stakeholder who created them; thus, developers and disseminators often provide few constructs for conceptualizing recommendations, while implementers de-emphasize concepts related to establishing guideline validity. The authors developed the Guideline Elements Model (GEM) using XML to better represent the heterogeneous knowledge contained in practice guidelines. Core constructs were derived from the Institute of Medicine's Guideline Appraisal Instrument, the National Guideline Clearinghouse, and the augmented decision table guideline representation. These were supplemented by additional concepts from a literature review. RESULTS: The GEM hierarchy includes more than 100 elements. Major concepts relate to a guideline's identity, developer, purpose, intended audience, method of development, target population, knowledge components, testing, and review plan. Knowledge components in guideline documents include recommendations (which in turn comprise conditionals and imperatives), definitions, and algorithms. CONCLUSION: GEM is more comprehensive than existing models and is expressively adequate to represent the heterogeneous information contained in guidelines. Use of XML contributes to a flexible, comprehensible, shareable, and reusable knowledge representation that is both readable by human beings and processible by computers.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1136/jamia.2000.0070488

Cites

17 of 17 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 17 references

Cited by

See all 277

Metadata

Authors
Shiffman, R. N., Karras, B. T., Agrawal, A., Chen, R., Marenco, L., & Nath, S.
Venue
Journal of the American Medical Informatics Association
Published
2000-09-01
Volume
7
Issue
5
Pages
488-498
ISSN
  • 1067-5027 (ISSN-L)
  • 1527-974X
OpenAlex
W1580312531
Cited by
277
References
17
FWCI
17.26
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: GEM: A Proposal for a More Comprehensive Guideline Document Model Using XML. https://app.cochat.ai/papers/10.1136/jamia.2000.0070488
The paper
Shiffman, R. N., Karras, B. T., Agrawal, A., Chen, R., Marenco, L., & Nath, S. (2000). GEM: A Proposal for a More Comprehensive Guideline Document Model Using XML. Journal of the American Medical Informatics Association. https://doi.org/10.1136/jamia.2000.0070488

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.