Operating rooms are filled with complex, manually configured devices that create risks and inefficiencies for medical staff.
Interoperability aims to provide device context and answer critical questions about usage, performance, and workflow optimization.
The standard uses a service-oriented architecture with layers for core communication, participant models, and device specializations.
Devices use a discovery service to find each other and share a Medical Device Information Base (MDIB) to exchange context.
Implementation involves modeling device functions as a digital tree structure with static descriptions and dynamic states.
A pulse oximeter's capabilities are defined in an XML file using a hierarchical model and standardized coded values.
Python code demonstrates how to create an SDC device that broadcasts its state and a client that subscribes to updates.
SDC enables advanced applications like data analytics, unified visualizations, and cross-vendor device orchestration in clinical settings.
Key questions are answered regarding SDC performance on embedded devices, promoting adoption, and managing patient data security.
ZEISS Group
Oberkochen, Germany
ZEISS Group
München, Germany
57:23Philipp-Alexander Blum
20:32Leo Lindhorst
29:31Adam Larter
23:26Martin Reynolds
34:52Alexander Allmendinger
30:37Dr. Andreas Kaldun
59:42Chris Heilmann, Daniel Cranney & Colleen Lake
51:13Thomas Fuchs, Waleed Arshad & Frank Dornberger & Idir Ouhab Meskine:
Jobs that call for the skills explored in this talk.
DSS, Inc.
Pierre, United States of America
Oracle
Lansing, United States of America
Oracle
Salem, United States of America
Oracle
Lansing, United States of America
Oracle
Salem, United States of America
Oracle
Sacramento, United States of America
Oracle
Oracle
Washington, United States of America
