Evidence map›Paper›PMID 39080418›Full record

ArticleScientific reports2024

Requirements for a dashboard optimized for melanoma patient care through user-centered context exploration.

Eva Maria Hartmann, Alisa Küper, Jessica Swoboda, Georg Christian Lodde, Elisabeth Livingstone, Catharina Lena Beckmann, Dirk Schadendorf, Sabine Sachweh

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Eva Maria HartmannDepartment of Computer Science, University of Applied Sciences and Arts Dortmund, 44227, Dortmund, Germany. eva.hartmann@fh-dortmund.de.
Alisa KüperDepartment of Social Psychology: Media and Communication, University of Duisburg-Essen, 47057, Duisburg, Germany.
Jessica SwobodaInstitute for Artificial Intelligence in Medicine, University Hospital Essen, 45147, Essen, Germany.
Georg Christian LoddeClinic for Dermatology, University Hospital Essen, 45147, Essen, Germany.
Elisabeth LivingstoneClinic for Dermatology, University Hospital Essen, 45147, Essen, Germany.
Catharina Lena BeckmannDepartment of Computer Science, University of Applied Sciences and Arts Dortmund, 44227, Dortmund, Germany.
Dirk SchadendorfClinic for Dermatology, University Hospital Essen, 45147, Essen, Germany.
Sabine SachwehDepartment of Computer Science, University of Applied Sciences and Arts Dortmund, 44227, Dortmund, Germany.

Funding

Deutsche Forschungsgemeinschaft Research Training Group 2535
6 · The paper itself

Abstract

For time-sensitive treatment of a patient with malignant melanoma, physicians must obtain a rapid overview of the patient's status. This study aimed to analyze context-specific features and processes at the point of care to derive requirements for a dashboard granting more straightforward access to information. The Think-Aloud method, contextual inquiries, and interviews were performed with physicians from the Department of Dermatology at the University Hospital Essen in Germany. The user statements and observations that were obtained were grouped and categorized using an affinity diagram. Based on the derived subjects, requirements were defined, confirmed, and prioritized. The resulting affinity diagram revealed four topics of importance at the point of care. These topics are "Identifying and Processing the Important", a comprehensive "Patient Record", tasks and challenges in the "Clinical Routine", and interactions and experiences with the available "Systems". All aspects have been reflected in 135 requirements for developing context- and indication-specific patient dashboards. Our work has elucidated the most important aspects to consider when designing a dashboard that improves patient care by enabling physicians to focus on the relevant information. Furthermore, it has been demonstrated that the aspects most often mentioned are not context-specific and can be generalized to other medical contexts.

Indexed as

MelanomaGermanyHumansPatient CareSkin NeoplasmsUser-Computer InterfaceContext explorationDashboardElectronic health recordsMelanomaRequirementsUser experience

Identifiers

PMID39080418
PMCPMC11289254

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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.