Practice Management | Electronic Health Records
EHR systems are undergoing significant transformations in 2025 as the healthcare industry continues to evolve.
Medical Billing / RCM | Radiology Information System | AI | Radiology
Artificial intelligence (AI) continues to transform the healthcare industry, with radiology, patient portals, and AI faxing seeing significant advancements in 2025.
Learn why patient engagement is a necessity and how you can master it within your practice.
Medical Billing / RCM | behavioral health
As the demand for mental health and substance use disorders services continues to grow, behavioral health billing in general has become increasingly complex. Providers must navigate evolving regulations, new diagnostic codes, and shifting reimbursement structures to ensure accurate billing and optimal financial outcomes.
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.
Medical Billing / RCM | AI | Laboratory
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.
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.
