STA (Surgical Training Analytics)

Analytics system for increased surgical training efficacy and precision.

MST’s core image-based data analytics technology is being applied to fields beyond powering surgical tools such as surgical robotics. The company is currently expanding its product offering into the growing field of surgeon training. MST is developing STA – Surgical Training Analytics, an advanced software-based platform that offers real-time surgical training in the operating room (OR).

STA – Surgical Training Analytics is based on  real-time image analysis of video captured from surgical imaging systems currently available in the OR, and incorporates additional elements such as third-party data, hospital databases (server and cloud) and surgical guidelines.

MST’s STA promises a major advance in surgeon training.

STA captures images from actual surgical procedures performed by the surgeon-in-training. The system uses its core proprietary analysis algorithms to analyze the video images and to evaluate the surgical tasks and procedures in relation to a predetermined baseline (e.g., surgical society standards, expert performance, previous actual performance, performance in simulated tasks). The resulting feedback is then transmitted to the video monitor as an overlay and reports. Analysis and metrics are provided at a range of comparison levels: per surgical procedure, comparing the same trainee’s procedures, those performed by other residents, by surgeons in the department or even at the level of an entire hospital chain, region-wide or nationwide.

Surgical Training Analytics

STA-Surgical Training Analytics system

Additional features that the STA system provides will aid in the training process and include augmented user interface tools. During a procedure the instructor can use these visual indicators that are presented on the video monitor, controlling them via a wireless ring interface.

Current Training Systems

Surgeon training today is highly labor intensive, inefficient and costly. Currently, surgeon training is limited to oversimplified manual simulators and higher-end virtual reality simulators. These are systems that only enable pre-surgery surgeon training; during the actual surgical procedure training is based on the instructor’s input. The result is a highly manual process performed “offline”, which requires the involvement of already stretched senior surgeons to accompany and evaluate the resident throughout the training process.

STA is expected to be the first training system able to objectively track, analyze and score the performance of surgeons-in-training based on actual surgical tasks performed in the OR and in real time.

STA Advantages

  • Cost-effective training. STA upgrades the current training practice by providing an analytics-based, real-time and objective training tool for hospitals, allowing them to provide cost-effective training of their surgeons during the critical stage of actual surgical procedures.
  • Improving evaluation and performance. The system allows hospitals (particularly teaching facilities that train residents) to track progress over time with detailed analytics, facilitating improved performance and better evaluation of the surgeon’s skills and suitability to the surgical setting. Senior teaching surgeons can view procedures remotely, in real time, along with all available analytics.
  • “Training loop”. Using STA, the hospital has access to continuous assessment and monitoring of the surgeon’s performance in actual surgical procedures. This data can be relayed to the currently available simulation systems allowing for more focused simulated practice sessions, zoning in on specific surgical tasks that have been identified for additional practice.
STA-Training loop

STA-Surgical Training Analytics “training loop”

For Healthcare Providers

Beyond surgeon training, STA may be employed by healthcare providers as a facility-wide analysis tool for continuous real-time assessment and feedback on surgical performance. By incorporating STA in a hospital’s OR infrastructure, healthcare providers can gather clinically-relevant data, contributing to efficiency and cost-saving decisions. The data will enable providers to reinforce a higher level of accuracy and objectivity regarding the facility’s surgical performance, resulting in significantly improved quality of care for patients.

MST’s image-based STA data analysis system is poised to play a significant role in the growing use of analytics in healthcare organizations.

MST’s STA is currently under development and is not cleared for sale in any market.