SterilAlze
This project aims to optimize the handling of surgical instruments inside and outside the operating room using artificial intelligence methods to improve efficiency and patient safety. By applying image recognition technology, we aim to analyze the patterns of instrument usage during surgery to reduce unnecessary waste of resources.
Motivation
Surgical success and patient safety significantly depend on the correct supply of appropriately sterilized, functional surgical instruments. This responsibility lies with the sterile processing departments (SPD) in hospitals. Although the processes involved in instrument supply by far make up the largest share of the cost of secondary processes at operating room (OR) suites with an average of 40%, they remain largely unexplored.
The recent push towards digitalization of hospitals through the federal government, for example through the Hospital Future Act (Krankenhauszukunftsgesetz - abbr. KHZG), and the concurrent development of innovative digital and intelligent resource-saving solutions offer unprecedented chances to optimize these processes, thereby significantly reducing healthcare costs while enhancing patient safety in the OR. To give an overview over the magnitude of the potential benefit, with more than 9,000 operating theatres and a total of 15,918,053 inpatient operations performed throughout 2022, and an average sterile processing cost per surgery of approx. €55.00, the total cost of sterile processing per year in Germany is approximately €950,000,000. Even a mere 5% cost reduction through digitalization would reduce the annual costs by about €48,000,000. These savings can be invested in the quality of treatment and improvement of the patient experience.
Objective
This project uses image recognition algorithms to identify the categories of surgical instruments during surgery and then captures the size and characteristics of the instruments through instance segmentation to determine the object model. Based on the relative position information between instruments and surgical trays, usage patterns are derived, ways to optimize surgical tray composition are investigated, and the cost of sterile supply is reduced from various aspects such as efficiency, energy and human resources while ensuring patient safety.