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Review
. 2021 Jul 1;24(7):102803.
doi: 10.1016/j.isci.2021.102803. eCollection 2021 Jul 23.

Fostering reproducibility, reusability, and technology transfer in health informatics

Affiliations
Review

Fostering reproducibility, reusability, and technology transfer in health informatics

Anne-Christin Hauschild et al. iScience. .

Abstract

Computational methods can transform healthcare. In particular, health informatics with artificial intelligence has shown tremendous potential when applied in various fields of medical research and has opened a new era for precision medicine. The development of reusable biomedical software for research or clinical practice is time-consuming and requires rigorous compliance with quality requirements as defined by international standards. However, research projects rarely implement such measures, hindering smooth technology transfer into the research community or manufacturers as well as reproducibility and reusability. Here, we present a guideline for quality management systems (QMS) for academic organizations incorporating the essential components while confining the requirements to an easily manageable effort. It provides a starting point to implement a QMS tailored to specific needs effortlessly and greatly facilitates technology transfer in a controlled manner, thereby supporting reproducibility and reusability. Ultimately, the emerging standardized workflows can pave the way for an accelerated deployment in clinical practice.

Keywords: Bioinformatics; health informatics; software engineering; software robustness.

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Conflict of interest statement

The authors declare no competing interests.

Figures

None
Graphical abstract
Figure 1
Figure 1
Main components and organization of a quality management system

References

    1. Anderson D.J. Blue Hole Press; 2010. Kanban: Successful Evolutionary Change for Your Technology Business.
    1. Anwar S.M., Majid M., Qayyum A., Awais M., Alnowami M., Khan M.K. Medical image analysis using convolutional neural networks: a review. J. Med. Syst. 2018;42:226. - PubMed
    1. Batra R., Alcaraz N., Gitzhofer K., Pauling J., Ditzel H.J., Hellmuth M., Baumbach J., List M. On the performance of de novo pathway enrichment. NPJ Syst. Biol. Appl. 2017;3:6. - PMC - PubMed
    1. Brito J.J., Li J., Moore J.H., Greene C.S., Nogoy N.A., Garmire L.X., Mangul S. Recommendations to enhance rigor and reproducibility in biomedical research. GigaScience. 2020;9 doi: 10.1093/gigascience/giaa056. - DOI - PMC - PubMed
    1. Calvert J., Saber N., Hoffman J., Das R. Machine-learning-based laboratory developed test for the diagnosis of sepsis in high-risk patients. Diagnostics (Basel) 2019;9 doi: 10.3390/diagnostics9010020. - DOI - PMC - PubMed

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