Experiences of Using a Computer-Aided Therapy Planning for Pediatric Oncology in Clinical Routine

1999 ◽  
pp. 210-217
Author(s):  
Petra Knaup ◽  
Timm Wiedemann ◽  
Andreas Bachert ◽  
Ursula Creutzig ◽  
Reinhold Haux ◽  
...  
Keyword(s):  
Pediatric Oncology ◽  
Therapy Planning ◽  
Clinical Routine ◽  
Computer Aided

scholarly journals Medical Images in Integrated Health Care Workstations

1996 ◽  
Vol 05 (01) ◽  
pp. 87-94
Author(s):  
U. Engelmann ◽  
H-P. Meinzer
Keyword(s):  
Image Processing ◽  
Health Care ◽  
Distributed Systems ◽  
Medical Images ◽  
Integrated Health Care ◽  
Therapy Planning ◽  
Clinical Routine ◽  
Diagnosis And Therapy ◽  
Integrated Health ◽  
The Difference

AbstractThe difference between an invention and a discovery is discussed, before turning to the sources of medical images. Next, the ongoing integration of image modalities in clinical routine is reviewed, as well as improvements in diagnosis and therapy planning with the help of better images in inter-connected distributed systems. Current shortcomings of image processing, and the attempts to overcome these shortcomings are presented. Examples of image processing are given, together with a vision on future systems and procedures.

On the Necessity of Systematically Planning Clinical Tumor Documentation

2001 ◽  
Vol 40 (02) ◽  
pp. 90-98 ◽  
Author(s):  
S. Harkener ◽  
K.-H. Ellsässer ◽  
R. Haux ◽  
T. Wiedemann ◽  
P. Knaup
Keyword(s):  
Clinical Research ◽  
Patient Care ◽  
Medical Informatics ◽  
Pediatric Oncology ◽  
Important Task ◽  
The Other ◽  
Therapy Planning ◽  
Tumor Center ◽  
Standardized Documentation ◽  
Documentation Systems

AbstractTumor documentation is an important task for both clinical research and patient care. Documentation systems for these purposes have to be planned systematically and should be goal oriented. We applied the method of a so-called ‘standardized documentation protocol’ for systematically planning two documentation systems in oncology: one for the tumor center Heidelberg/Mannheim and the other for a nationwide project in the field of documentation and therapy planning in pediatric oncology. The method proved to be helpful in both cases even though the resulting documentation protocols are completely different and although they served different objectives. Therefore, the aim of the paper is to motivate and help medical informatics professionals to systematically plan other documentation systems using this method.

Computer-aided detection for the identification of pulmonary nodules in pediatric oncology patients: initial experience

2009 ◽  
Vol 39 (7) ◽  
pp. 685-693 ◽  
Author(s):  
Emma J. Helm ◽  
Cicero T. Silva ◽  
Heidi C. Roberts ◽  
David Manson ◽  
Mike T. M. Seed ◽  
...  
Keyword(s):  
Pediatric Oncology ◽  
Pulmonary Nodules ◽  
Initial Experience ◽  
Computer Aided Detection ◽  
Oncology Patients ◽  
Computer Aided

scholarly journals THEMPO: A knowledge-based system for therapy planning in pediatric oncology

1997 ◽  
Vol 27 (3) ◽  
pp. 177-200 ◽  
Author(s):  
R. Müller ◽  
M. Sergl ◽  
U. Nauerth ◽  
D. Schoppe ◽  
K. Pommerening ◽  
...  
Keyword(s):  
Pediatric Oncology ◽  
Therapy Planning ◽  
Knowledge Based System ◽  
Knowledge Based

A Meta-Model of Chemotherapy Planning in the Multi-Hospital/Multi-Trial-Center-Environment of Pediatric Oncology

2004 ◽  
Vol 43 (02) ◽  
pp. 171-183 ◽  
Author(s):  
B. Baumgarten ◽  
O. Basu ◽  
N. Graf ◽  
R. Haux ◽  
R. Herold ◽  
...  
Keyword(s):  
Knowledge Acquisition ◽  
Pediatric Oncology ◽  
Social Research ◽  
Unified Modeling Language ◽  
Clinical Routine ◽  
Application System ◽  
Meta Model ◽  
Unified Modeling ◽  
Medical Centers ◽  
Art Research

Summary Objective: Chemotherapy planning in pediatric oncology is complex and time-consuming. The correctness of the calculation according to state-of-the-art research is crucial for curing the child. Computer-assistance can be of great value. The objective of our research was to work out a meta-model of chemotherapy planning based on the Unified Modeling Language (UML). The meta-model is used for the development of an application system which serves as a knowledge-acquisition tool for chemotherapy protocols in pediatric oncology as well as for providing protocol-based care. Methods: We applied evolutionary prototyping, software re-engineering techniques and grounded theory, a qualitative method in social research. We repeated the following steps several times over the years: Based on a requirements analysis (i) a meta-model was developed or adapted, respectively (ii). The meta-model served as a basis for implementing evolutionary prototypes (iii). Further requirements were identified (i) from clinical use of the systems. Results: We developed a comprehensive UML-based meta-model for chemotherapy planning in pediatric oncology (chemoMM). We implemented it and introduced evolutionary prototypes (CATIPO and DOSPO) in several medical centers. Systematic validation of the prototypes enabled us to derive a final meta-model which covers the requirements that have turned out to be necessary in clinical routine. Conclusions: We have developed an application system that fits well into clinical routine of pediatric oncology in Germany. Validation results have shown that the implementation of the meta-model chemoMM can adequately support the knowledge acquisition process for protocol-based care.

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