Healthcare Blog
The latest in all things RCM, Electronic Health Records, Radiology Information Systems, Practice Management, Medical Billing, Value-Based Care, & Healthcare IT.
By:
Stephen O'Connor
July 18th, 2024
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.
By:
Marc Klar
July 15th, 2024
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).
Learn why patient engagement is a necessity and how you can master it within your practice.
By:
Stephen O'Connor
July 9th, 2024
Ensuring Patient Data Safety in the Healthcare Industry Of course, your patients’ well-being is paramount, but protecting their data isn’t far behind. Safeguarding your data is undoubtedly on the list.
Medical Billing / RCM | Industry News | AI
By:
Christina Rosario
December 27th, 2022
How to Ease Staffing Burdens for Healthcare Professionals It’s no secret that many talented individuals are leaving or have already quit their jobs during the “Great Resignation” in the aftermath of the global coronavirus pandemic. According to a report from Forbes, the healthcare industry has lost approximately 20% of its workers. Yet, the demand for healthcare services with an emphasis on patient safety, disease control, and public health has never been greater.
Medical Billing / RCM | Industry News | Healthcare Advice | AI
By:
Advanced Data Systems Corporation
April 18th, 2019
Advanced AI Creating New Avenues of Healthcare Efficiencies First, there was artificial intelligence (AI) which made machines capable of following mathematical directions to capture and store intelligence. Then came machine learning (ML), which advanced machine intelligence to use collected data to make predictive solutions. We now have deep learning, a more intelligent subset of ML that is based on the human brain. As found on Medium, "Artificial Intelligence would be the bigger, encapsulating circle that contains Machine and Deep Learning".