%0 Journal Article %1 Wolfien2023-ax %A Wolfien, Markus %A Ahmadi, Najia %A Fitzer, Kai %A Grummt, Sophia %A Heine, Kilian-Ludwig %A Jung, Ian-C %A Krefting, Dagmar %A Kühn, Andreas %A Peng, Yuan %A Reinecke, Ines %A Scheel, Julia %A Schmidt, Tobias %A Schmücker, Paul %A Schüttler, Christina %A Waltemath, Dagmar %A Zoch, Michele %A Sedlmayr, Martin %D 2023 %J J. Med. Internet Res. %K clinical communication; data data; digital health health; informatics; interdisciplinary medical research %P e45948 %T Ten topics to get started in medical informatics research %V 25 %X 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.

@article{Wolfien2023-ax, 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.}, added-at = {2024-09-10T10:41:24.000+0200}, author = {Wolfien, Markus and Ahmadi, Najia and Fitzer, Kai and Grummt, Sophia and Heine, Kilian-Ludwig and Jung, Ian-C and Krefting, Dagmar and K{\"u}hn, Andreas and Peng, Yuan and Reinecke, Ines and Scheel, Julia and Schmidt, Tobias and Schm{\"u}cker, Paul and Sch{\"u}ttler, Christina and Waltemath, Dagmar and Zoch, Michele and Sedlmayr, Martin}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2ab11a60783891ef129a0f95a2ed406a7/scadsfct}, interhash = {61123949ef331290572930bf97b6b68d}, intrahash = {ab11a60783891ef129a0f95a2ed406a7}, journal = {J. Med. Internet Res.}, keywords = {clinical communication; data data; digital health health; informatics; interdisciplinary medical research}, language = {en}, month = jul, pages = {e45948}, timestamp = {2024-09-10T10:45:25.000+0200}, title = {Ten topics to get started in medical informatics research}, volume = 25, year = 2023 }