Evidence map›Paper›PMID 37486754›Full record

ArticleJournal of medical Internet research2023

Ten Topics to Get Started in Medical Informatics Research.

Markus Wolfien, Najia Ahmadi, Kai Fitzer, Sophia Grummt, Kilian-Ludwig Heine, Ian-C Jung, Dagmar Krefting, Andreas Kühn, Yuan Peng, Ines Reinecke and 7 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
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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

17 authors.

Markus WolfienInstitute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.ORCID 0000-0002-1887-4772
Najia AhmadiInstitute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.ORCID 0000-0001-9769-5109
Kai FitzerCore Unit Data Integration Center, University Medicine Greifswald, Greifswald, Germany.ORCID 0000-0003-0844-5330
Sophia GrummtInstitute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.ORCID 0000-0001-5094-1456
Kilian-Ludwig HeineInstitute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.ORCID 0009-0003-0215-8362
Ian-C JungInstitute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.ORCID 0000-0002-7562-2707
Dagmar KreftingDepartment of Medical Informatics, University Medical Center, Goettingen, Germany.ORCID 0000-0002-7238-5339
Andreas KühnInstitute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.ORCID 0000-0001-9411-1358
Yuan PengInstitute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.ORCID 0000-0002-6163-9532
Ines ReineckeInstitute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.ORCID 0000-0003-0154-2867
Julia ScheelDepartment of Systems Biology and Bioinformatics, University of Rostock, Rostock, Germany.ORCID 0000-0002-0034-7755
Tobias SchmidtInstitute for Medical Informatics, University of Applied Sciences Mannheim, Mannheim, Germany.ORCID 0009-0003-3956-8840
Paul SchmückerInstitute for Medical Informatics, University of Applied Sciences Mannheim, Mannheim, Germany.ORCID 0009-0009-4187-2589
Christina SchüttlerCentral Biobank Erlangen, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0000-0001-9008-1868
Dagmar WaltemathCore Unit Data Integration Center, University Medicine Greifswald, Greifswald, Germany.ORCID 0000-0002-5886-5563
Michele ZochInstitute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.ORCID 0000-0002-5577-7760
Martin SedlmayrInstitute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.ORCID 0000-0002-9888-8460

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The vast and heterogeneous data being constantly generated in clinics can provide great wealth for patients and research alike. The quickly evolving field of medical informatics research has contributed numerous concepts, algorithms, and standards to facilitate this development. However, these difficult relationships, complex terminologies, and multiple implementations can present obstacles for people who want to get active in the field. With a particular focus on medical informatics research conducted in Germany, we present in our Viewpoint a set of 10 important topics to improve the overall interdisciplinary communication between different stakeholders (eg, physicians, computational experts, experimentalists, students, patient representatives). This may lower the barriers to entry and offer a starting point for collaborations at different levels. The suggested topics are briefly introduced, then general best practice guidance is given, and further resources for in-depth reading or hands-on tutorials are recommended. In addition, the topics are set to cover current aspects and open research gaps of the medical informatics domain, including data regulations and concepts; data harmonization and processing; and data evaluation, visualization, and dissemination. In addition, we give an example on how these topics can be integrated in a medical informatics curriculum for higher education. By recognizing these topics, readers will be able to (1) set clinical and research data into the context of medical informatics, understanding what is possible to achieve with data or how data should be handled in terms of data privacy and storage; (2) distinguish current interoperability standards and obtain first insights into the processes leading to effective data transfer and analysis; and (3) value the use of newly developed technical approaches to utilize the full potential of clinical data.

Indexed as

Medical InformaticsAlgorithmsCurriculumGermanyHumansclinical datadigital healthhealth informaticsinterdisciplinary communicationmedical informaticsresearch data

Identifiers

PMID37486754
PMCPMC10407648

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.