Evidence map›Paper›PMID 37957990›Full record

ArticleHealthcare (Basel, Switzerland)2023

Physicians' Perspectives on HL7 Information Policy Sensitive Value Set: A Validation Study through Health Concept Categorization.

Maheswari Eluru, Daniel Hector Mendoza, Audrey Wong, Mohammad Jafari, Michael Todd, Patricia Bayless, Darwyn Chern, Christina Eldredge, Rodrigo Fonseca, Pedro Franco-Fuquen and 8 more

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. FHIR Granular Sensitive Data Segmentation.Applied clinical informatics · 2025
    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

18 authors.

Maheswari EluruCollege of Health Solutions, Arizona State University, Phoenix, AZ 85054, USA.ORCID 0009-0007-5554-4266
Daniel Hector MendozaCollege of Health Solutions, Arizona State University, Phoenix, AZ 85054, USA.
Audrey WongCollege of Health Solutions, Arizona State University, Phoenix, AZ 85054, USA.
Mohammad JafariCollege of Health Solutions, Arizona State University, Phoenix, AZ 85054, USA.
Michael ToddEdson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ 85004, USA.ORCID 0000-0002-1981-4245
Patricia BaylessDistrict Medical Group, Phoenix, AZ 85016, USA.
Darwyn ChernCopa Health, Phoenix, AZ 85009, USA.
Christina EldredgeMorsani College of Medicine, University of South Florida, Tampa, FL 33602, USA.
Rodrigo FonsecaMayo Clinic, Phoenix, AZ 85054, USA.
Pedro Franco-FuquenHonorHealth, Phoenix, AZ 85020, USA.
Juan Esteban Garcia-RobledoCollege of Medicine, University of Arizona, Phoenix, AZ 85004, USA.ORCID 0000-0003-2912-152X
Benjamin Grant GiffordBanner Health Systems, Phoenix, AZ 85006, USA.
Rhea HansMayo Clinic, Phoenix, AZ 85054, USA.
Eider Felipe Moreno-CortesMayo Clinic, Phoenix, AZ 85054, USA.ORCID 0000-0001-7629-6264
Ajay PerumbetiCollege of Medicine, University of Arizona, Phoenix, AZ 85004, USA.
Fabio Samir Vargas-CelyMayo Clinic, Phoenix, AZ 85054, USA.ORCID 0000-0002-3407-4011
Lin ZhaoHonorHealth, Phoenix, AZ 85020, USA.
Maria Adela GrandoCollege of Health Solutions, Arizona State University, Phoenix, AZ 85054, USA.

Funding

SHARES: Substance use HeAlth REcord SharingR01DA056984 · NIDA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MARIA ADELA GRANDO · 2023 to 2026
$2.6M
NIDA NIH HHS R01 DA056984
6 · The paper itself

Abstract

The Health Level 7 (HL7) organization introduced the Information Sensitivity Policy Value Set with 45 sensitive data categories to facilitate the implementation of granular electronic consent technology. The goal is to allow patients to have control over the sharing of their sensitive medical records. This study represents the first attempt to explore physicians' viewpoints on these categories. Twelve physicians participated in a survey, leading to revisions in 21 HL7 categories. They later classified 600 clinical data items through a second survey using the updated categories. Participants' perspectives were documented, and data analysis included descriptive measures and heat maps. In the first survey, six participants suggested adding 19 new categories (e.g., personality disorder), and modifying 25 category definitions. Two new categories and sixteen revised category definitions were incorporated to support more patient-friendly content and inclusive language. Fifteen new category recommendations were addressed through a revision of category definitions (e.g., personality disorder described as a behavioral health condition). In the second survey, data categorizations led to recommendations for more categories from ten participants. Future revisions of the HL7 categories should incorporate physicians' viewpoints, validate the categories using patient data or/and include patients' perspectives, and develop patient-centric category specifications.

Indexed as

data protection and privacygranular patient consentHL7 terminologyinformation sensitive data sharing

Identifiers

PMID37957990
PMCPMC10647660

What OpenQuestion holds

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LicenceCC BY
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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.