Healthcare
All You Need to Know About Revenue Cycle Management in Healthcare Industry
In the increasingly complex healthcare industry, efficient revenue cycle management is essential to optimize payment and maximize profits. Revenue cycle management refers to the management of the financial processes that involve healthcare providers to manage revenue from patients, insurers, and other third-party payers. It encompasses the entire healthcare process from initial patient registration to final…
Read MoreTips for Physicians: Strategies to Encourage Patients to Pay Medical Bills On Time
Doctors spend most of their time and energy in diagnosing and treating their patients. However, when it comes to payment, it can get frustrating for physicians when patients don’t pay their medical bills on time. Unpaid medical bills can add up fast, leading to cash flow issues, low revenue, and mounting administrative work. Physicians now…
Read MoreRadiologist’s Claim for Remote Work Ends in Victory
The COVID-19 pandemic has changed the way we work and interact with others. As the world continues to face this crisis, it is imperative that employers make accommodations to protect vulnerable employees. Unfortunately, it hasn’t been smooth sailing for everyone. In a recent case, a radiologist claimed he was fired for requesting remote work…
Read MoreNew Legislation Aims to Improve Coverage for Breast Cancer Detection
Breast cancer is a leading cause of death among women worldwide. Early detection is key to improving outcomes for those who develop the disease. To that end, U.S. House lawmakers are proposing a bill that would require all insurers to cover any supplemental breast imaging, beyond screening mammograms, with no patient out-of-pocket costs. The…
Read MoreAI Matches Radiologist Performance on Mammograms and DBT Exams: A Meta-Analysis
The ever-increasing rate of breast cancer cases around the world has made mammography an essential screening tool for identifying the early stages of the disease. However, the accuracy of mammograms can vary from one radiologist to another, and the interpretation of images can be tedious and subjective. This has led to the development of artificial…
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