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Shayan Zadeh, Founder & CEO, Leap RailAccording to him, lack of predictability and visibility are two potent problems that affect the efficiency of operating room personnel. While case time duration, the span of operation, and time of a surgery serve as the most important attributes of surgeries, many healthcare organizations rely on estimates provided by EMRs for surgical planning that often turn out to be inaccurate. Leap Rail Board, the first in company’s product suite, utilizes the potential of AI algorithms to offer 30 percent higher accuracy in surgical predictions. This improved accuracy equates to roughly 90 minutes of OR time for every 10 cases. Leap Rail Shift, the second product, is focused on surgical staff and provides real-time information for effective staff optimization. It enables the entire surgical team to determine when, where, and how they are needed throughout the day and notifies them of updated schedules and assignments that help them to be more productive. The third product—Leap Rail Analytics—offers a complete record of more than 20 major OR metrics, from case volumes to scheduling accuracy to suite and block utilization and much more, which are then utilized to orchestrate process improvement initiatives and foster a true data-driven culture.
Leap Rail endorses a unique approach to analyzing surgical data wherein all the relevant information is aggregated from existing surgical documentations or EMRs and is fed into the Leap Rail engine. Following that, Leap Rail offers AI recommendations in an intuitive and easy-to-use format for streamlining OR functions. Regarding integration, for board and shift products, Leap Rail can connect to any EMR system in real time through interoperable HL7 messaging which can be enabled in just a couple of weeks of support from IT and then the information garnered is brought to life using AI or machine learning. For analytics product, data from historical reports are loaded into the Leap Rail system which then provides the required analytics without any additional integration.![]()
Leap Rail offers the best-in-class solutions that simplify the complexity of operating rooms with artificial intelligence (AI) and machine learning, providing actionable and intelligent information to facilitate better decisions
Zadeh illustrates the efficacy of Leap Rail by citing an instance wherein a hospital was constantly combating the challenge of a significant number of add-on surgery cases. They barely had any visibility or predictability in OR environment and banked on static surgical board which failed to provide updated information on the operations. With the assistance of Leap Rail, the hospital gained significantly enhanced predictability and accuracy on their view of resources that helped them to efficiently allocate and accommodate requests from surgeons in the add-on cases. “Now they are more proactive with the resources with a better functioning surgical staff, and can accommodate more cases for their surgeons,” says Zadeh.
Scripting similar success stories, Leap Rail aims to introduce more features, combining better communication with the AI. “We pride in being in tune with our customers and executing on their needs in a timely fashion,” extols Zadeh.
Company
Leap Rail
Management
Shayan Zadeh, Founder & CEO, Leap Rail
Description
Leap Rail enables hospitals and surgery centers administrators to run profitable, efficient, and streamlined operating rooms by bringing data hidden in the EMR to life through artificial intelligence and predictive analytics. Leap Rail offers a flexible platform for optimizing operating room management through workflow automation, artificial intelligence. It gives an opportunity to physicians, staff, and patient to surface ways for obtaining quadruple aim in healthcare. The company gives intelligent tools to run dynamic and unpredictable operating rooms efficiently. For running an efficient operating room, case duration accuracy is very important as it helps in deciding the number of staff required at a different time period. The artificial intelligence algorithms of Leap Rail reduce surgical case duration inaccuracy by more than 70 percent.