![]() ![]() Healthcare organizations operate in real-time, without any slack. By deploying scripts that emulate human processes, RPA tools complete autonomous execution of various tasks, activities and transactions across unrelated software systems. It combines APIs and user interface (UI) interactions to integrate and perform repetitive tasks between enterprise and productivity applications. ![]() ![]() Robotic process automation (RPA) is an automation technology that uses software to mimic the back-office tasks of human workers, such as extracting data, filling in forms and moving files. What is robotic process automation (RPA)? These are among the factors that create the perfect environment for robotic process automation (RPA) to increase efficiency, reduce costs and improve the patient experience. For example, patient onboarding and follow-ups, medical billing and claims processing, generating reports for physicians and prescription management are some of the repetitive tasks that are common across all healthcare organizations. In healthcare organizations, many repetitive processes and decisions rely on the availability of accurate data. The drive to reduce costs is countered by the need to continuously improve the patient experience and meet regulations that often require onerous paperwork and reporting. These pressures can challenge the quality and urgency of patient care. Concerns persist about partial medical transcription services and accuracy, which has been hampering the overall quality of medical transcripts and over the past few years.The healthcare industry of today is overburdened by high costs, incredibly high volume and stringent regulations. That’s not to say there won’t be challenges. Medical transcription is performed with the help of different techniques adopted by healthcare professional or in-house transcriptionists, factors that are predicted to drive market demand over the next few years. Most medical transcription devices consist of built-in speech recognition and memory storage systems. The medical transcription industry is considered one of the most vibrant segments in the healthcare management sector, since it is affected dramatically by evolving technologies. More hospitals are also outsourcing medical transcription services to third-parties, which the analysis expects to double. On top of that, increases in the number of transcribers, coupled with years of training to learn various methodologies and terminologies, is expected to boost overall market demand in near future. Other factors attributing to the growth of the market are the rise in the value of skilled professionals and an increase in the outsourcing of medical transcription services. Growing adoption of automatic transcribing technologies, in fact, is expected to replace various analog devices in near future, according to Radiant. Technavio pointed to voice recognition technologies as a big driver of hospital plans whileĪn analysis Radiant Insights published earlier this year added that key factors driving hospitals adopting transcription tools are reliability, portability and cost-effectiveness. Research firm Technavio published a report last month projecting that hospitals globally will spend more than 72 billion by 2020, representing 6 percent compound annual growth rate. Two research reports suggest that hospitals will deploy more medical transcription tools from companies including Acusis, Nuance, MModal, iMedX, Precyse, Scribe Healthcare, Superior Global Solutions, Transcend Services and TransTech Medical Solution, among others. Such data is used largely by healthcare organizations and electronic health record initiatives. Medical transcription is the process by which doctors and healthcare professionals process health records, which are then converted into a readable format from voice and text. Medical transcription tools have long been legacy products but as vendors inject modern technologies, notably automation and voice recognition, new data suggests that hospitals are going to deploy more of these products and services amid broader digital transformation work. ![]()
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