Integration of mathematical model predictions into routine workflows to support clinical decision making in haematology

Integration of mathematical model predictions into routine workflows to support clinical decision making in haematology

Abstract Background Individualization and patient-specific optimization of treatment is a major goal of modern health care. One way to achieve this goal is the application of high-resolution diagnostics together with the application of targeted therapies. However, the rising number of different trea...

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Bibliographic Details
Main Authors: Katja Hoffmann, Katja Cazemier, Christoph Baldow, Silvio Schuster, Yuri Kheifetz, Sibylle Schirm, Matthias Horn, Thomas Ernst, Constanze Volgmann, Christian Thiede, Andreas Hochhaus, Martin Bornhäuser, Meinolf Suttorp, Markus Scholz, Ingmar Glauche, Markus Loeffler, Ingo Roeder
Format: Article
Language:English
Published: BMC 2020-02-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Clinical decision-making
Support system
Data management
Individual therapy planning
Routine workflow
Haematology
Online Access:https://doi.org/10.1186/s12911-020-1039-x

Internet

https://doi.org/10.1186/s12911-020-1039-x

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