This includes various medical technologies for EHR development and integration, interoperability, rules based algorithms for decision pathways, clinical decision support, drug discoveries, clinical trials, nursing educational support, risk evaluation and research and development.
Revenue cycle management, in its most basic form, is the process by which healthcare professionals request, track, and collect revenue for services delivered to patients. Revenue cycle management is growing beyond the business office as medical billing becomes more sophisticated. The revenue cycle is becoming increasingly wide, taking into account both the clinical and operational aspects of patient treatment and...
Radiologists should be concerned about billing and collecting revenue in 2022, as well as operating more efficiently and complying with certain CMS initiatives. One source of concern is the "snail-like" communication that occurs between referring physicians and the radiology practise when orders and information are submitted via email on multiple computers. It is typically slow, and data can be lost...
AI-powered EHR systems integrate seamlessly as well as provide solutions with a broad range of functionalities. Machine learning and Natural Language Processing (NLP) can help in recording patients' medical experiences, organizing large EHR data banks for finding important documents, gauging patient satisfaction, and certain other tasks. Machine learning models coupled with natural language processing (NLP) can assist healthcare providers in...
