Evidence map›Paper›PMID 38748234›Full record

ArticleBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2024

[Development of competencies in the Medical Informatics Initiative (MII)-educational offers for a competent and secure handling of medical data].

Petra Knaup-Gregori, Martin Boeker, Toralf Kirsten, Dagmar Krefting, Erik Schiller, Paul Schmücker, Christina Schüttler, Anne Seim, Cord Spreckelsen, Alfred Winter

Abstract readEnglish Abstract
In one paragraph

Article in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 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

10 authors.

Petra Knaup-GregoriInstitut für Medizinische Informatik, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Deutschland. Petra.Knaup@med.uni-heidelberg.de.
Martin BoekerInstitut für Künstliche Intelligenz und Informatik in der Medizin, Klinikum rechts der Isar, School of Medicine and Health, Technische Universität München, München, Deutschland.
Toralf KirstenAbteilung für Medical Data Science, Medizininformatikzentrum, Universitätsklinikum Leipzig, Leipzig, Deutschland.
Dagmar KreftingInstitut für Medizinische Informatik, Universitätsmedizin Göttingen, Göttingen, Deutschland.
Erik SchillerMFT Medizinischer Fakultätentag der Bundesrepublik Deutschland e. V., Berlin, Deutschland.
Paul SchmückerInstitut für Medizinische Informatik, Hochschule Mannheim, Mannheim, Deutschland.
Christina SchüttlerMedizinisches Zentrum für Informations- und Kommunikationstechnik, Universitätsklinikum Erlangen, Erlangen, Deutschland.
Anne SeimInstitut für Medizinische Informatik und Biometrie, Technische Universität Dresden, Dresden, Deutschland.
Cord SpreckelsenInstitut für Medizinische Statistik, Informatik und Datenwissenschaften, Universitätsklinikum Jena, Jena, Deutschland.
Alfred WinterInstitut für Medizinische Informatik, Statistik und Epidemiologie, Universität Leipzig, Leipzig, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to achieve the goals of the Medical Informatics Initiative (MII), staff with skills in the field of medical informatics and data science are required. Each consortium has established training activities. Further, cross-consortium activities have emerged. This article describes the concepts, implemented programs, and experiences in the consortia. Fifty-one new professorships have been established and 10 new study programs have been created: 1 bachelor's degree and 6 consecutive and 3 part-time master's degree programs. Further, learning and training opportunities can be used by all MII partners. Certification and recognition opportunities have been created.The educational offers are aimed at target groups with a background in computer science, medicine, nursing, bioinformatics, biology, natural science, and data science. Additional qualifications for physicians in computer science and computer scientists in medicine seem to be particularly important. They can lead to higher quality in software development and better support for treatment processes by application systems.Digital learning methods were important in all consortia. They offer flexibility for cross-location and interprofessional training. This enables learning at an individual pace and an exchange between professional groups.The success of the MII depends largely on society's acceptance of the multiple use of medical data in both healthcare and research. The information required for this is provided by the MII's public relations work. There is also an enormous need in society for medical and digital literacy.

Indexed as

CurriculumMedical InformaticsComputer SecurityElectronic Health RecordsGermanyHumansProfessional CompetenceDigital literacyDigital medicineeLearningMedical data scienceMedical informatics

Identifiers

PMID38748234
PMCPMC11166765

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.