There is a version of medicine that physicians went to school for. It involves listening to patients, making decisions, and being present in the room. There is a second version that has grown up alongside it: the one that involves 16 minutes of EHR work per patient visit, documentation that runs past 9pm, and a Monday morning inbox that already feels behind.
Documentation has always been the part of medicine that nobody went to medical school for. You see the patient, you make the clinical decision, and then you spend the next 20 minutes writing it all down. Traditional dictation was supposed to fix that. For many practices, it made things slower.
The Importance of Patient Engagement: Why They - And You - Need It
Learn why patient engagement is a necessity and how you can master it within your practice.
Ambulatory care practices are navigating one of the most confusing technology moments in the history of healthcare IT. Every electronic health records vendor is claiming AI capabilities. Every conference session has AI in the title. Every demo now includes a slide about machine learning.
Independent practices are under increasing pressure to maintain financial performance in an environment that is becoming more complex each year. Payer requirements continue to evolve, staffing challenges persist, and even small inefficiencies in billing workflows can create meaningful delays in cash flow.
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.
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.
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.
In the rapidly evolving healthcare landscape, voice AI technology is a transformative force, reshaping how care is delivered and managed. As we delve into the myriad ways voice AI enhances patient experiences and streamlines healthcare operations, it becomes clear that this technology is not just an adjunct tool but a central component of modern healthcare systems.
A multispecialty group or practice is one in which at least two different specialties are practiced. Of course, large groups or networks may have tens or dozens of different specialties. Providers may be MDs, DOs, DPMs, DCs, PTs, PAs, NPs, RNs, clinicians, and therapists. Depending on the specialties, some may not be medical (think cosmeticians, aestheticians, and massage therapists).