Evidence map›Paper›PMID 35309008›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2021

Expressing and Executing Informed Consent Permissions Using SWRL: The All of Us Use Case.

Muhammad Amith, Marcelline R Harris, Cooper Stansbury, Kathleen Ford, Frank J Manion, Cui Tao

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Integrating a conceptual consent permission model from the informed consent ontology for software application execution.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2025
    Article
  3. 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

6 authors.

Muhammad AmithSchool of Biomedical Informatics, University of Texas Health Science Center, Houston, TX.
Marcelline R HarrisUniversity of Michigan, Ann Arbor MI.
Cooper StansburyUniversity of Michigan, Ann Arbor MI.
Kathleen FordUniversity of Michigan, Ann Arbor MI.
Frank J ManionMelax Technologies, Houston TX.
Cui TaoSchool of Biomedical Informatics, University of Texas Health Science Center, Houston, TX.

Funding

Dynamic learning for post-vaccine event prediction using temporal information in VAERSR01AI130460 · NIAID · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI CHEN, YONG, TAO, CUI · 2017 to 2021
$3.4M
Metadata applications on informed content to facilitate biorepository data regulation and sharingU01HG009454 · NHGRI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI TAO, CUI · 2016 to 2018
$1.4M
SBIR Phase I- Topic 410 - Cancer Clinical Trials Recruitment and Retention Tools for Participant Engagement. 75N91020C00017 · NCI · MELAX TECHNOLOGIES, INC. · PI MANION, FRANK · 2020 to 2020
$400k
NCI NIH HHS 75N91020C00017NHGRI NIH HHS U01 HG009454NIAID NIH HHS R01 AI130460
6 · The paper itself

Abstract

The informed consent process is a complicated procedure involving permissions as well a variety of entities and actions. In this paper, we discuss the use of Semantic Web Rule Language (SWRL) to further extend the Informed Consent Ontology (ICO) to allow for semantic machine-based reasoning to manage and generate important permission-based information that can later be viewed by stakeholders. We present four use cases of permissions from the All of Us informed consent document and translate these permissions into SWRL expressions to extend and operationalize ICO. Our efforts show how SWRL is able to infer some of the implicit information based on the defined rules, and demonstrate the utility of ICO through the use of SWRL extensions. Future work will include developing formal and generalized rules and expressing permissions from the entire document, as well as working towards integrating ICO into software systems to enhance the semantic representation of informed consent for biomedical research.

Indexed as

Population HealthSemantic WebHumansInformed ConsentLanguageSemantics

Identifiers

PMID35309008
PMCPMC8861693

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.