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 | RCM | Laboratory
Laboratories that offer specialized services such as molecular testing and Next Generation Sequencing (NGS) encounter unique challenges that demand equally specialized solutions.
Learn why patient engagement is a necessity and how you can master it within your practice.
COVID-19 has produced fertile ground for hundreds of labs that are opening, hoping to ride the testing wave. But the fertile soil in and of itself doesn’t necessarily produce a successful crop. It requires thought, attention, and TLC for the planting to be fruitful.
Medical Billing / RCM | Practice Management
In the intricate world of clinical laboratory management, the implementation of effective billing software is a cornerstone for operational success. However, navigating the complexities of common problems in clinical laboratory management often leads to a series of pitfalls that can undermine the efficiency and financial health of these critical healthcare services. This blog post delves into four prevalent mistakes laboratories make during the billing software implementation process. By addressing these issues, labs can enhance their billing for lab services, ensuring a smoother, more efficient billing cycle that benefits both the laboratory and its clients.
According to a report released by the American Clinical Laboratory Association (ACLA) on 5/6/19, the contributions of clinical laboratories to the economy and the job market in the United States shows that clinical laboratories support more than 688,000 jobs resulting in $44.75 billion in wages to American workers. More than $9.81 billion in federal taxes are paid by the industry.
