Healthcare Revenue Cycle Management (RCM) is the financial foundation of every type of healthcare organization. RCM should span the patient’s entire journey, from scheduling and eligibility verification to final payment collection, and even beyond with reminders to schedule next appointments as may be appropriate. Having moved into 2025, the RCM landscape is undergoing a major transformation driven by advanced technologies (AI), evolving care models, and rising patient expectations.
Today’s overall healthcare landscape – including laboratories – is driven by data, speed, and accuracy. That’s why artificial intelligence (AI) has rapidly emerged as a transformative force in laboratory billing, helping to streamline administrative tasks, improve efficiency, and optimize revenue cycle performance.
Learn why patient engagement is a necessity and how you can master it within your practice.
Medical Billing / RCM | Practice Management
Simplifying Denial Management: A Single Step-by-Step Guide Denial management often appears complex and daunting within the revenue cycle, cluttered with over-complications and excessive details.
Medical Billing / RCM | RCM | Laboratory
Laboratories that offer specialized services such as molecular testing and Next Generation Sequencing (NGS) encounter unique challenges that demand equally specialized solutions.
Artificial Intelligence (AI) has been transforming healthcare for decades, beginning in the 1950s with the development of expert systems to aid in disease diagnosis. Today, AI's role has expanded to encompass crucial aspects of healthcare operations, including medical imaging, patient monitoring, and clinical decision-making. For podiatry practices that seek to enhance efficiency and patient care, AI technologies offer innovative solutions that integrate seamlessly with daily operations.
As Artificial Intelligence (AI) continues to reshape various medical disciplines, podiatry has seen significant advancements thanks to this technology. Understanding AI and its associated terminologies is crucial for podiatrists to effectively integrate and leverage these innovations within their practices. Here’s an in-depth look at some essential AI terms:
In the dynamic field of podiatry, managing the financial and operational aspects of a practice can be as challenging as the clinical care itself. This is where Advanced Data Systems Revenue Cycle Management (ADSRCM) steps in, offering comprehensive solutions that tackle common challenges such as revenue management and staffing efficiency. Here’s a deeper look at how ADSRCM enhances practice efficiency and helps podiatrists focus more on patient care.
Artificial Intelligence (AI) is revolutionizing many medical fields, including podiatry. This technology enhances diagnostic precision, improves patient outcomes, and increases operational efficiency. Here’s an in-depth look at how AI is making these advancements possible and why it's becoming an indispensable tool in the field of podiatry.
Integrating Artificial Intelligence (AI) into a podiatry practice can significantly enhance operational efficiency, improve patient outcomes, and streamline administrative tasks. However, the transition to AI-powered systems can seem daunting. Here are detailed, actionable steps to help you seamlessly integrate AI into your podiatry practice.
The recent updates to the Clinical Laboratory Improvement Amendments (CLIA) by the Centers for Medicare & Medicaid Services (CMS) represent a significant overhaul, with implications that extend deep into laboratory management, personnel qualification, and operational compliance. Understanding these changes in-depth will be crucial for laboratory directors to navigate the new regulatory landscape effectively.
