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Ten Topics to Get Started in Medical Informatics Research.

Authors :
Wolfien M
Ahmadi N
Fitzer K
Grummt S
Heine KL
Jung IC
Krefting D
Kühn A
Peng Y
Reinecke I
Scheel J
Schmidt T
Schmücker P
Schüttler C
Waltemath D
Zoch M
Sedlmayr M
Source :
Journal of medical Internet research [J Med Internet Res] 2023 Jul 24; Vol. 25, pp. e45948. Date of Electronic Publication: 2023 Jul 24.
Publication Year :
2023

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.<br /> (©Markus Wolfien, Najia Ahmadi, Kai Fitzer, Sophia Grummt, Kilian-Ludwig Heine, Ian-C Jung, Dagmar Krefting, Andreas Kühn, Yuan Peng, Ines Reinecke, Julia Scheel, Tobias Schmidt, Paul Schmücker, Christina Schüttler, Dagmar Waltemath, Michele Zoch, Martin Sedlmayr. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 24.07.2023.)

Details

Language :
English
ISSN :
1438-8871
Volume :
25
Database :
MEDLINE
Journal :
Journal of medical Internet research
Publication Type :
Academic Journal
Accession number :
37486754
Full Text :
https://doi.org/10.2196/45948