Evidence map›Paper›PMID 38133917›Full record

ArticleJMIR medical informatics2023

The Necessity of Interoperability to Uncover the Full Potential of Digital Health Devices.

Julian D Schwab, Silke D Werle, Rolf Hühne, Hannah Spohn, Udo X Kaisers, Hans A Kestler

Abstract read
In one paragraph

Article in JMIR medical informatics, 2023. 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. Article
  2. 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.

Julian D SchwabUlm University, Ulm, Germany.ORCID https://orcid.org/0000-0002-3050-0618
Silke D WerleUlm University, Ulm, Germany.ORCID https://orcid.org/0000-0002-5153-0269
Rolf HühneUlm University, Ulm, Germany.ORCID https://orcid.org/0000-0003-4592-1519
Hannah SpohnUlm University, Ulm, Germany.ORCID https://orcid.org/0009-0004-2666-4136
Udo X KaisersUniversity Hospital Ulm, Ulm, Germany.ORCID https://orcid.org/0000-0003-3781-0843
Hans A KestlerUlm University, Ulm, Germany.ORCID https://orcid.org/0000-0002-4759-5254

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personalized health care can be optimized by including patient-reported outcomes. Standardized and disease-specific questionnaires have been developed and are routinely used. These patient-reported outcome questionnaires can be simple paper forms given to the patient to fill out with a pen or embedded in digital devices. Regardless of the format used, they provide a snapshot of the patient's feelings and indicate when therapies need to be adjusted. The advantage of digitizing these questionnaires is that they can be automatically analyzed, and patients can be monitored independently of doctor visits. Although the questions of most clinical patient-reported outcome questionnaires follow defined standards and are evaluated by clinical trials, these standards do not exist for data processing. Interoperable data formats and structures would benefit multilingual and cross-study data exchange. Linking questionnaires to standardized terminologies such as the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) and Logical Observation Identifiers, Names, and Codes (LOINC) would improve this interoperability. However, linking clinically validated patient-reported outcome questionnaires to clinical terms available in SNOMED CT or LOINC is not as straightforward as it sounds. Here, we report our approach to link patient-reported outcomes from health applications to SNOMED CT or LOINC codes. We highlight current difficulties in this process and outline ways to minimize them.

Indexed as

data exchangedata linkageeHealthinteroperabilityLOINCpatient reportedpatient-reported outcome questionnairesPROPROMrequirement for standardssemanticsemantic terminologySNOMED CTstandardstandardsterminologiesterminology

Identifiers

PMID38133917
PMCPMC10770786

What OpenQuestion holds

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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.