Background
Surgical Tray Rationalization (STR) consists of a systematic reduction in the number of surgical instruments to perform specific procedures without compromising patient safety while reducing losses in the sterilization and assembly of trays. STR is one example of initiatives to improve process performance that have been widely reported in industrial settings but only recently have gained popularity in healthcare organizations.
Methods
We conduct a scoping review of the literature to identify and map available evidence on surgical tray management. Five methodological stages are implemented and reported; they are: identifying research questions, identifying relevant studies, study selection, charting the data, and collating, summarizing and reporting the results.
Results
We reviewed forty-eight articles on STR, which were grouped according to their main proposed approaches: expert analysis, lean practices, and mathematical programming. We identify the most frequently used techniques within each approach and point to their potential contributions to operational and economic dimensions of STR. We also consolidate our findings, proposing a roadmap to STR with four generic steps (prepare, rationalize, implement, and consolidate) and recommended associated techniques.
Conclusions
To the best of our knowledge, ours is the first study that reviews and systematizes the existing literature on the subject of STR. Our study closes with the proposition of future research directions, which are presented as nine research questions associated with the four generic steps proposed in the STR roadmap.
Industry 4.0 digital technologies in agribusiness will enable traditional farming systems to migrate to Agriculture 4.0. Open innovation emerges as an enabler for implementing these technologies and increased sector competitiveness. However, there are still doubts and questions about how technologies and open innovation relate to and will drive Agriculture 4.0. This study identified which digital technologies of Industry 4.0 have more adherence to agribusiness, what the barriers and facilitators for using these technologies are, and how open innovation can increase the competitiveness of agribusiness. The results show that of the Industry 4.0 technologies related to agribusiness, the Internet of Things (IoT) is the most prominent. The main barriers are the users’ need for more knowledge and advanced skills, which evidences the need for investment in training operators. Among the facilitators stand the pre-existence of several technologies, which bring with them already defined basic structures, control of the technology, and communication between systems. To overcome the barriers and enhance the migration to Agriculture 4.0, developing devices, tools, systems, software, and machines is essential. More stakeholders, managers, and practitioners may share such opportunities for innovation in agribusiness through the concept of Open Innovation. To benefit from it, facilitators, managers, and practitioners of agribusiness should search for alternatives for their problems with engineering solutions providers.
Background
Surgical Tray Rationalization (STR) consists of a systematic reduction in the quantity of surgical instruments to perform specific procedures without compromising patient safety, while reducing losses in the sterilization and assembly of trays. STR is one example of initiatives to improve process performance that have been widely reported in industrial settings, but only recently have gained popularity in healthcare organizations.
Methods
We conduct a scoping review of the literature aiming at identifying and mapping available evidence on the topic of surgical tray management. Five methodological stages are implemented and reported; they are: identifying research questions, identifying relevant studies, study selection, charting the data, and collating, summarizing and reporting the results.
Results
We reviewed forty-eight articles on STR, which were grouped according to their main proposed approaches: expert analysis, lean practices, and mathematical programming. We identify the most frequently used techniques within each approach and point to their potential contributions to operational and economic dimensions of STR. We also consolidate our findings proposing a roadmap to STR, with four generic steps (prepare, rationalize, implement, and consolidate) and recommended associated techniques.
Conclusions
To the best of our knowledge, ours is the first study that reviews and systematizes the existing literature on the subject of STR. Our study closes with the proposition of directions for future research, which are presented as nine research questions associated with the four generic steps proposed in the STR roadmap.
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