Development and validation of XML-based calculations within order sets.

Nathan C Hulse, Guilherme Del Fiol, Roberto A Rocha

Abstract readValidation Study

In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Nathan C HulseDepartment of Medical Informatics, University of Utah, Salt Lake City, UT, USA.

Guilherme Del Fiol

Roberto A Rocha

Funding

UNIVERSITY OF UTAH MEDICAL INFORMATICS TRAININGT15LM007124 · NLM · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Karen Louise Eilbeck · 1997 to 2026

$22.0M

NLM NIH HHS 2 T15 LM07124NLM NIH HHS T15 LM007124

6 · The paper itself

Abstract

We have developed two XML Schemas to support the implementation of calculations within XML-based order sets. The models support the representation of variable-based algorithms and include data elements designed to support ancillary functions such as input range checking, rounding, and minimum/maximum value constraints. Two clinicians successfully authored 57 unique calculated orders derived from a set of 11 calculations using the models within our authoring environment. The resultant knowledge base content was subsequently tested and found to produce the desired results within the electronic physician order entry environment.

Indexed as

Drug Therapy, Computer-AssistedKnowledge BasesMedical Order Entry SystemsProgramming LanguagesAlgorithmsDrug-Related Side Effects and Adverse ReactionsHumansMedication ErrorsModels, TheoreticalPharmaceutical PreparationsSoftwarePharmaceutical Preparations

Identifiers

PMID16779062

PMCPMC1560544

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.