Johnson & Johnson, the renowned pharmaceutical and medical technologies company, is leading the charge in revolutionizing implant sizing for knee and hip operations by leveraging the power of artificial intelligence (AI). By doing so, they are enhancing efficiency and helping healthcare organizations overcome a significant challenge in these procedures.
Operating rooms play a pivotal role in generating revenue for healthcare facilities but can also be a major contributor to costs. Therefore, any cost savings or efficiencies achieved in the operating room can have a significant impact on a healthcare facility’s bottom line.
One of the main factors contributing to the lower efficiency of operating rooms is the excessive amount of time spent on surgery preparation. Jim Swanson, the CIO at Johnson & Johnson, explains that managing inventory before and after surgery is a time-consuming process due to its reactive nature. This is particularly evident in total knee arthroplasty (TKA) and total hip arthroplasty (THA) procedures.
Optimizing clinical outcomes in TKA and THA relies heavily on appropriate component sizing. However, sometimes the patient’s X-ray that is provided during the pre-surgery process has poor image quality, making it difficult to predict the correct implant part sizing. As a result, healthcare organizations often have to order all possible standard sizes for each surgery, leading to excess inventory and a burden on the facility.
To address these challenges, Johnson & Johnson has introduced Advance Case Management (ACM), a digitally integrated system that simplifies pre-surgery processes by utilizing case schedules and patient data. This innovative system tackles the inventory management challenge by integrating directly with the customer’s healthcare system, enabling real-time demand sensing.
In late 2021, Johnson & Johnson took this innovation a step further by introducing AI knee and hip implant machine-learning predictions specifically for TKA and THA implant sizing and patient surgical needs. This project earned the company the prestigious 2023 CIO 100 Award for IT innovation and leadership.
By incorporating AI and machine learning into the implant sizing process, Johnson & Johnson is able to streamline procedures, reduce excess inventory, and ultimately improve efficiency in operating rooms. This not only saves valuable time for operating room staff but also optimizes clinical outcomes for patients.
The introduction of ACM and AI-driven predictions represents a major breakthrough in the field of knee and hip operations. Rather than relying solely on reactive inventory management, healthcare organizations can now benefit from real-time demand sensing and accurate implant sizing predictions. This technological advancement allows for more efficient use of resources and ultimately leads to better patient care.
In conclusion, Johnson & Johnson’s innovative approach to implant sizing with the help of AI is revolutionizing knee and hip operations. By addressing the inefficiencies associated with surgery preparation and inventory management, healthcare organizations can significantly improve their bottom line and provide better care for patients. With ACM and AI-driven predictions, Johnson & Johnson continues to lead the way in driving innovation and positively impacting the healthcare industry.
