Oliver Johannes Bott

Prof. Dr. Oliver Johannes Bott

Hochschule Hannover, Hanover, Germany
orcid

Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2001 in International Journal of Medical Informatics
Verified
Journal Article
Closed access
AWA.F Winter
A.F Winter
EAE Ammenwerth
E Ammenwerth
Oliver Johannes BottOliver Johannes Bott
Oliver Johannes Bott
BBB Brigl
B Brigl
ABA Buchauer
A Buchauer
AWA Winter
A Winter

1 May 2011 in RadioGraphics
Verified
Journal Article
Closed access
Oliver Johannes BottOliver Johannes Bott
Oliver Johannes Bott
KDKlaus Dresing
Klaus Dresing
MWMarkus Wagner
Markus Wagner
BRBjörn-Werner Raab
Björn-Werner Raab
MTMichael Teistler
Michael Teistler
Mobile image intensifier systems (C-arms) are used frequently in orthopedic and reconstructive surgery, especially in trauma and emergency settings, but image quality and radiation exposure levels may vary widely, depending on the extent of the C-arm operator's knowledge and experience. Current training programs consist mainly of theoretical instruction in C-arm operation, the physical foundations of radiography, and radiation avoidance, and are largely lacking in hands-on application. A computer-based simulation program such as that tested by the authors may be one way to improve the effectiveness of C-arm training. In computer simulations of various scenarios commonly encountered in the operating room, trainees using the virtX program interact with three-dimensional models to test their knowledge base and improve their skill levels. Radiographs showing the simulated patient anatomy and surgical implants are "reconstructed" from data computed on the basis of the trainee's positioning of models of a C-arm, patient, and table, and are displayed in real time on the desktop monitor. Trainee performance is signaled in real time by color graphics in several control panels and, on completion of the exercise, is compared in detail with the performance of an expert operator. Testing of this computer-based training program in continuing medical education courses for operating room personnel showed an improvement in the overall understanding of underlying principles of intraoperative radiography performed with a C-arm, with resultant higher image quality, lower overall radiation exposure, and greater time efficiency. Supplemental material available at http://radiographics.rsna.org/lookup/suppl/doi:10.1148/rg.313105125/-/DC1.

1 February 2007 in International Journal of Medical Informatics
Verified
Journal Article
Closed access
JBJoachim Bergmann
Joachim Bergmann
Oliver Johannes BottOliver Johannes Bott
Oliver Johannes Bott
DPDietrich P. Pretschner
Dietrich P. Pretschner
RHReinhold Haux
Reinhold Haux

4 March 2020 in International Journal of Computer Assisted Radiology and Surgery
Verified
Journal Article
Closed access
PDF file
MSMatthias Süncksen
Matthias Süncksen
Oliver Johannes BottOliver Johannes Bott
Oliver Johannes Bott
KDKlaus Dresing
Klaus Dresing
MTMichael Teistler
Michael Teistler

13 May 2009 in International Journal of Computer Assisted Radiology and Surgery
Verified
Journal Article
Closed access
PDF file
Oliver Johannes BottOliver Johannes Bott
Oliver Johannes Bott
MWMarkus Wagner
Markus Wagner
CDChristopher Duwenkamp
Christopher Duwenkamp
NHNils Hellrung
Nils Hellrung
KDKlaus Dresing
Klaus Dresing

1 January 2007 in Methods of Information in Medicine
Verified
Journal Article
Closed access
PDF file
MMM. Marschollek
M. Marschollek
KWK.-H. Wolf
K.-H. Wolf
RHR. Haux
R. Haux
Oliver Johannes BottOliver Johannes Bott
Oliver Johannes Bott
Summary Objectives: To analyze utilization of sensor technology in telemonitoring and home care and to discuss concepts and challenges of sensor-enhanced regional health information systems (rHIS). Methods: The study is based upon experience in sensor-based telemedicine and rHIS projects, and on an analysis of HIS-related journal publications from 2003 to 2005 conducted in the context of publishing the IMIA Yearbook of Medical Informatics. Results: Health-related parameters that are subject to sensor-based measurement in home care and tele-monitoring are identified. Publications related to tele-monitoring, home care and smart houses are analyzed concerning scope and utilization of sensor technology. Current approaches for integrating sensor technology in rHIS based on a corresponding eHealth infrastructure are identified. Based on a coarse architecture of home care and telemonitoring systems ten challenges for sensor-enhanced rHIS are identified and discussed: integration of home and health telematic platforms towards a sensor-enhanced telematic platform, transmission rate guarantees, ad hoc connectivity, cascading data analysis, remote configuration, message and alert logistic, sophisticated user interfaces, unobtrusiveness, data safety and security, and electronic health record integration. Conclusions: Utilization of sensor technology in health care is an active field of research. Currently few research projects and standardization initiatives focus on general architectural considerations towards suitable telematic platforms for establishing sensor-enhanced rHIS. Further research finalized by corresponding standardization is needed. Part 2 of this paperwill present experiences with a research prototype for a sensor-enhanced rHIS telematic platform.