Evidence map›Paper›PMID 41726536›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2024

Exchanging Context and Provenance Based Standardized Patient Generated Health Data with an Electronic Health Record.

Abdullahi Abubakar Kawu, Lucy Hederman, Dympna O'Sullivan

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2024. 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.

Abdullahi Abubakar KawuTechnological University Dublin, Dublin, Ireland.
Lucy HedermanTrinity College Dublin, Dublin, Ireland.
Dympna O'SullivanTechnological University Dublin, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient Generated Health Data empower patients and supports their longitudinal care, with several studies and initiatives attempting to integrate these data into electronic health records of patients. However, studies have indicated clinicians' desire and interest in contextual information about these data. There are limited studies that consider contextual and provenance information about these data at the point of collecting the data. This has reliability, trust and usability implications for PGHD shared with electronic health records (EHR). This paperseeks to describe how an ontology-driven model was employed to capture PGHD with provenance and context, sufficient for clinical decision making. We also evaluatedthe modelusingtwo PGHDsources, and shared theprocess of sharing this information with an EHR in standardized RDF/FHIR formats. Future studies will seek to evaluate the modelin a practical context with clinicians, to ensure alignment with their clinical practice and workflow.

Indexed as

Electronic Health RecordsPatient Generated Health DataDigital HealthHealth Information InteroperabilityHumans

Identifiers

PMID41726536
PMCPMC12919584

What OpenQuestion holds

Textmetadata
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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.