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Combatting the Clinician Shortage Through Robotic Process Automation

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Healthcare systems contain multiple burdensome tasks and strict regulations that require a substantial amount of resource allocation. This inefficiency can lead to high costs of operations, and slow processes, especially when it comes to credentialing, onboarding and deploying clinician workforces. The pandemic, coupled with an aging population with increasing numbers of people with chronic, long-term conditions, has created a perfect storm to disrupt the healthcare market. In fact, the U.S. could face a shortage of up to 124,000 physicians by 2034, which means the supply and demand gap between patients and clinicians is continuing to widen. In an industry that is already facing staffing shortages and supply chain problems, how do we combat this issue?


Top Emerging Robotics Trends in 2022

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Robotics is the combined effort of science, engineering, and technology that results in devices referred to as robots that mimic or replace human behaviors. Robots have long captivated popular culture, including R2-D2, Prime Optimus, and WALL-E. These exaggerated, humanoid representations of robots typically appear like a parody of the real thing, but may they actually be more futuristic than we think? Robots are developing mechanical and intellectual skills that do not rule out the possibility of an R2-D2-like machine in the future. In the industrial sector, robots are becoming more and more common, and some experts predict that this trend will only continue to grow over time.


Five ways automation can help the healthcare sector - ETCIO SEA

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The seeds of automation in healthcare had been sown almost a century ago, when doctors and other stakeholders in the healthcare vertical commenced using medical records to capture symptoms, history and outcomes of patient care. Standardisation and evolution of the master patient index along with advancements in computers in the 1980s and 1990s ensured these records culminated into standard Electronic Medical Records (EMR). Subsequently, the affordable personal medical computers brought about an accelerated adoption in hospital information systems by extending usage beyond EMRs to now also cover in-patient and outpatient billing, check-in and appointment scheduling as well. The Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009 paved the way for expanding use cases of technology and automation within healthcare, both from the clinical and provider as well as payer and administrative perspectives. Advancements in the world wide web, cloud, mobility, internet of things and healthcare devices/ wearables, databases, big data, Robotic Process Automation (RPA), analytics, and lately artificial intelligence, machine learning and blockchain have ushered in a new era of technology and automation at healthcare.


The Business Impact of Robotic Process Automation - DataScienceCentral.com

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In this interview, I spoke with Husan Mahey, author of "Robotic Process Automation with Automation Anywhere," where he outlines step-by-step the process for setting up automation in a business setting. Robotic Process Automation is a tool that allows users to automate repetitive tasks that would normally be done by a human. These sorts of tedious tasks are ripe for automation, especially in a scenario where the person could be better utilized doing tasks that require thought and decision making. The book is a great resource for a beginner that takes the time to teach the benefits of RPA as well as a practical implementation of it. Since RPA can be applied to a variety of tasks, there is no one size fits all approach.


How is intelligent automation helping enterprises optimize business performance

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At WNS, we believe that transformation-led business outcomes are driven through the implementation of multiple technology levers. Intelligent automation plays a critical role in business transformation as it demonstrates immediate results, thereby accelerating outcomes and benefits. The deployment of intelligent automation is a phase-wise journey for clients across multiple processes. We scale up our efforts as we discover value in the automation of newer processes or in further optimizing the automated processes. For example, RPA was earlier used to help with simple, repetitive activities. Now, RPA combined with AI and ML can handle more complex and decision-intensive tasks. It is crucial to develop a strategic roadmap for the adoption of intelligent automation. Selecting the right processes to automate and proper planning with the operations teams have consistently helped to achieve the desired outcomes, including maximum productivity and optimal utilization of licenses and other costs. Also, given the non-intrusive nature of intelligent automation, it has helped us drive scale and efficiency without heavy capital investments. Moreover, cloud-based RPA models have certainly proved quite useful for us.


RPA in Insurance: Your Ultimate Guide

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Will you be content if you hire and pay four people but only three show up to actually do the work? And yet, many employers do just that. According to McKinsey, an average worker spends 1.8 hours daily gathering and aggregating data, a task that is redundant and doesn't have a direct impact on business success, and, above all, can be easily automated. Is your insurance company looking for ways to relieve your employees from this routine burden while cutting costs and minimizing errors? If so, you can consult a robotic process automation company to build or customize an RPA solution specific to your needs.


Leveraging Artificial Intelligence In Capital Markets

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The financial industry produces enormous amounts of data. Deep insights in this data are analyzed with machine learning as it interacts with the trading operations and uses sophisticated algorithms to generate trading choices quickly. FREMONT, CA: The swift adoption of artificial Intelligence (AI) by capital market organizations indicates its responsible approach to a safe, effective, efficient, and transparent deployment of models. AI is the newest concept in the financial markets. The international securities markets are changing from art to science with artificial intelligence.


Comparative analysis of RPA and traditional automation

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In the wake of digital revolution, the implementation of automation has been rocketing very high in recent times in all the industries and domains. Consequently, the demand for best Robotic Process Automation (RPA) solutions have plummeted compared to traditional automation with the companies implementing RPA to compete and stay afloat in the business game. With RPA receiving a lot of attention recently, it has taken a leap forward to transform the dynamics of business operations for its abilities to reduce the turnaround time, enhance accuracy and productivity, and better regulatory compliance. RPA is a technological solution for automating manual business procedures to allow organizations to stay competitive and flourish in the technological landscape. By combining automation with artificial intelligence, organizations can restore numerous rule-based, repetitive, and human operations.


What is RPA? A revolution in business process automation

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Robotic process automation (RPA) is an application of technology, governed by business logic and structured inputs, aimed at automating business processes. Using RPA tools, a company can configure software, or a "robot," to capture and interpret applications for processing a transaction, manipulating data, triggering responses, and communicating with other digital systems. RPA scenarios range from generating an automatic response to an email to deploying thousands of bots, each programmed to automate jobs in an ERP system. Many CIOs are turning to RPA to streamline enterprise operations and reduce costs. Businesses can automate mundane rules-based business processes, enabling business users to devote more time to serving customers or other higher-value work.


RPA is not AI; Combine them for Superpowers

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You can take a look at Facebook's AI Research to understand better. Here, the social media giant feeds the AI system with different images and the machine delivers exacts results. When a photo of a dog is shown to the machine, it not only recognised it as a dog but also recognised the breed. RPA is a technology that uses a specific set of rules and an algorithm and based on that it automates a task. While AI is focused more on doing a human-level task, RPA is practically a software that reduces human efforts -- it is about saving the business and white-collar workers' time.