Epidural analgesia involves injection of anesthetics into the epidural space, using a Touhy needle to proceed through the layers in the epidural region and a "loss of resistance" (LOR) syringe to sense the environment stiffness. The anesthesiologist's case experience is one of the leading causes of accidental dural puncture and failed epidural - the two most common complications of epidural analgesia. Robotic simulation is an appealing solution to help train novices in this task. Another benefit of it is the ability to record the kinematic information throughout the procedure. In this work, we used a haptic bimanual simulator, that we designed and validated in previous work, to explore the effect LOR probing strategies had on procedure outcomes. Our results indicate that most participants probed more with the LOR syringe in successful trials, compared to unsuccessful trials. Furthermore, this result was more prominent in the three layers preceding the epidural space. Our findings can assist in creating better instructions for training novices in the task of epidural analgesia. We posit that instructing anesthesia residents to use the LOR syringe more extensively and educating them to do so more when they are in proximity to the epidural space can help improve skill acquisition in this task.

Are you tired of spending countless hours on mundane, repetitive tasks that drain your energy and hinder your productivity? Do you wish there was a way to streamline your operations and reduce errors while freeing up your time to focus on growing your business? Look no further than Robotic Process Automation (RPA)! RPA is a technology that uses software robots to automate tedious and time-consuming tasks, freeing up valuable resources and improving overall efficiency. As a Healthcare Revenue Cycle Business Owner, you can benefit from RPA in several ways.

Similarly, nearly two-thirds (65%) are in various stages of implementing their IoT strategy. Although the pandemic, looming recession, inflation, and global supply chain issues have been prevalent topics in the last year(s), manufacturers are determined to fast-track their digital transformation projects in the next three years. With nearly three-quarters of manufacturers currently implementing a smart factory strategy, we were curious to find out what manufacturing KPIs are most important to measure the success of this transformation. We prompted the decision-makers with 27 different manufacturing KPIs and asked how important each one is for their smart factory project. This is just one of many analyses of the 59-page IoT Signals Report – Manufacturing Spotlight (August 2022), published by Microsoft and Intel, with research conducted by IoT Analytics.

Artificial Intelligence (AI) is the latest technology development gaining significant traction in various areas of the healthcare industry, including diagnostics, patient outreach, and revenue cycle management (RCM) activities. Because revenue cycle management functions require substantial time, financial, and personnel resources, this area is particularly suited to benefit from the adaption of AI. In fact, payers and providers spend $496 billion on billing and insurance-related (BIR) costs each year. Manual and redundant tasks like coding, billing, collections, and denials become instantly simplified with appropriate artificial intelligence. AI imitates human intelligence through algorithms that identify patterns and plan for future outcomes, unlike machine learning or other robotic processes that only focus on accuracy.

Artificial Intelligence (AI) is the latest technology development gaining significant traction in various areas of the healthcare industry, including diagnostics, patient outreach, and revenue cycle management (RCM) activities. Because revenue cycle management functions require substantial time, financial, and personnel resources, this area is particularly suited to benefit from the adaption of AI. In fact, payers and providers spend $496 billion on billing and insurance-related (BIR) costs each year. Manual and redundant tasks like coding, billing, collections, and denials become instantly simplified with appropriate artificial intelligence. AI imitates human intelligence through algorithms that identify patterns and plan for future outcomes, unlike machine learning or other robotic processes that only focus on accuracy.

Software robots can help companies cut down on both costs and errors, UiPath CEO Daniel Dines said. He said companies are using such artificial intelligence to automate front and back office processes, such as in finance, accounting and ticketing. Software robots can help companies cut down on both costs and errors, UiPath CEO Daniel Dines said. He said companies are using such artificial intelligence to automate front and back office processes, such as in finance, accounting and ticketing.

The go to place for quick and easy translations – Google Translate – just received a huge upgrade with Deep Learning algorithms boosting its translation capabilities and reducing errors by 60%. Google's experiments with neural machine translation pays off in a big manner. Like most translation services, Google Translate too relied on breaking down sentences into smaller phrases or groups of words and then translated these phrases which were later joined together to produce the output. With Neural Machine Translation, Google Translate can translate entire sentences without breaking them in phrases. This new approach has been said to reduce errors by at least 60 percent compared to the previous phrase based approach.