Medicare, the federal health insurance program for people aged 65 and older, has been at the forefront of healthcare innovation. In recent years, telehealth has emerged as a powerful tool, transforming the way healthcare services are delivered. As technology continues to advance, the future of Medicare telehealth looks increasingly promising. Telehealth: A Brief Overview Telehealth, […]
Medical coding is a dynamic field, driven as much by technological advancements as by healthcare practices and regulatory changes. As we are moving into 2024, we can see that several important trends are shaping the future of this important field. Future of Medical Coding 2024: 1. Rise of Artificial Intelligence (AI) and Machine Learning (ML) […]
In the realm of medical billing and coding, the incorporation of artificial intelligence stands as a pivotal advancement. Its role in healthcare establishments is to optimize billing procedures, thereby mitigating costly errors. Among the array of AI-driven technologies, machine learning and Natural Language Processing (NLP) take the forefront. These tools excel at swiftly and accurately […]
As organizations adjust to new treatment types, resource needs, and customer demands, payers and providers are looking for ways to minimize costs, enhance care, create awareness, and broaden relationships. Here are the top eight trends businesses can currently track into 2021: The future of healthcare will be marked by the re-engineering of clinical care and […]
From predicting outbreaks to devising treatments, doctors are turning to AI in an effort to combat the COVID-19 pandemic. Why it matters: While machine learning algorithms were already becoming a part of health care, COVID-19 is likely to accelerate their adoption. But lack of data and testing time could hinder their effectiveness — for this […]
With the assistance of AI medical billers and coders can work efficiently and accurately, flagging down most of the human errors and mistakes. Recent studies show that the error rates in medical billing are reportedly pretty high. According to studies conducted by the American Medical Association and Nerdwallet, the error rates are 7.1 percent and […]
Artificial intelligence (AI) is a concept that has moved very quickly from the realm of science fiction into real and practical utility in a number of different industries—including healthcare. One of the most effective applications for AI-powered tools is in the field of revenue cycle management. Sophisticated AI technologies can sift through vast amounts of […]
The technology, growing in popularity, is one way to reduce errors and enhance communication. Speeding up and simplifying the communication between provider and payer means a lot more than just getting reimbursed. It can help healthcare organizations be more transparent about costs to patients. It can maximize the amount of time skilled workers deal with […]
A strategic approach to patient-centered revenue cycle technology strategy should be enabled by predictive analytics and machine learning to help customize the payment experience, refine communication messages, and give proper feedback to continually improve back-end processes. The path to financial health for hospitals and health systems has shifted and is rematerializing in a way that […]
Most industries embrace the motto “the customer is king.” They are acutely aware their success is driven by it. While the complexity of the healthcare business model has made it challenging for provider organizations to adopt such an ethos, the recent rise of consumerism in the industry necessitates that providers prioritize the patient experience if […]