Intervention time prediction from surgical low-level tasks

Abstract

The predictions can be used by the OR staff, the technical infrastructure of the OR, and centralized management. The predictions also support intervention scheduling and resource management when resources are shared among different operating rooms, thereby reducing resource conflicts. The predictions could also contribute to the improvement of surgical workflow and patient care.

A Framework for Multi-Model Surgical Workflow Management

“…The framework included processors for generalized surgical process models (gSPMs) [1,3] and process models based on Hidden Markov Model theory. Additional modules for comprehensive logging, connection to an OR bus [5], intervention time prediction [3] and process information visualization [4] were incorporated. Furthermore, a prototypical network configuration for neurosurgical brain tumour removal was designed and implemented.…”

“…The main use cases were information presentation [4], automatic configuration and orchestration of medical device functionalities [5], documentation, resource management and OR scheduling [3]. Each application required surgical process information.…”

“…Technical systems for workflow management in the surgical environment need to cope with high inter-process variance and uncertainty. Hence, new types of process representations beyond common business process models have been developed [1][2][3]. Most of them were adapted to specific aspects of workflow management.…”

Rule-based medical device adaptation for the digital operating room

“…The implemented prototype also provided predictions. Estimated probabilities of upcoming activities, qualitative assumptions on the usage of several devices and a prediction of the remaining intervention time [19] were included in the process-related information entities.…”

Surgical data science, an emerging field of medicine

“…Using the da Vinci Research kit [33], [34], it has been shown in a clinical environment that subtask automation is feasible [35], and SPMs were used to integrate automated robotic intraoperative imaging [36]. Another aspect of workflow monitoring is OR workflow scheduling [37]. Since OR time is one of the most expensive resource of the hospital, by monitoring the workflow, it becomes possible to predict the duration of the surgery, as well as optimizing future procedure plans [14].…”