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Ten Topics to Get Started in Medical Informatics Research.

Markus Wolfien1,2, Najia Ahmadi1, Kai Fitzer3

  • 1Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.

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Summary
This summary is machine-generated.

This viewpoint identifies 10 key topics in medical informatics research to enhance interdisciplinary communication and collaboration. It aims to lower entry barriers for new professionals and researchers in the field.

Keywords:
clinical datadigital healthhealth informaticsinterdisciplinary communicationmedical informaticsresearch data

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Area of Science:

  • Medical Informatics
  • Health Data Science
  • Computational Medicine

Background:

  • Clinical data generation is vast and heterogeneous, offering significant potential for patients and research.
  • Medical informatics research has advanced concepts and standards, but complexity hinders broader engagement.
  • Interdisciplinary communication challenges exist among physicians, computational experts, experimentalists, students, and patient representatives.

Purpose of the Study:

  • To present 10 important topics in medical informatics research, focusing on Germany.
  • To improve interdisciplinary communication and lower entry barriers for new stakeholders.
  • To provide a starting point for collaborations and offer guidance on data handling and utilization.

Main Methods:

  • A viewpoint paper outlining 10 key topics in medical informatics.
  • Introduction of topics covering data regulations, harmonization, processing, evaluation, visualization, and dissemination.
  • Provision of best practice guidance, resources for further learning, and curriculum integration examples.

Main Results:

  • Readers will gain context for clinical and research data within medical informatics.
  • Understanding of data privacy, storage, interoperability standards, and data transfer processes.
  • Appreciation for technical approaches to maximize clinical data potential.

Conclusions:

  • Recognizing these 10 topics can facilitate better understanding and utilization of clinical data.
  • Improved interdisciplinary communication is crucial for advancing medical informatics research and application.
  • The proposed topics and curriculum integration can foster broader participation and collaboration in the field.