From IEEE 11073 SDC Device Specializations to Assistive Systems: Rule-based Data Analysis for Minimal Invasive Surgery

Modern surgical devices are full of innovations and provide plenty of functionalities. However, they only perform to their full potential if they are properly configured. Only a small subset of surgical device functionalities is used due to the high complexity of today's device systems and the omnipresent situation that only the circulating nurses can (re-)configure non-sterile devices. Hence, there is a huge need for safe and effective assistance supporting the operating room (OR) staff to continuously work with the potentially best device setting to increase patient's safety and clinical outcome. Therefore, we propose a concept for situation-aware parameter recommendations and automatic (re-)configuration. Free access to adequate data is a prerequisite to extract knowledge for assistive systems and to provide situation awareness during execution. Thus, manufacturer-independent medical device interoperability is a basic requirement. Consequently, we use the new IEEE 11073 Service-oriented Device Connectivity (SDC) standards family, including Device Specializations. As part of the developing committee we introduce the idea and concept behind Device Specializations and highlight their use for assistive systems in the domain of minimal invasive surgery. To ensure safety and effectiveness of the assistive functionalities, our concept enforces deterministic rules providing a predictable and approvable behavior. We demonstrate our concept by the use case of a smart surgical double roller pump using an interpreter-based Rule Execution Engine.