Artificial intelligence (AI) can help transform patient data into value at an accelerated pace without incurring high costs or eating up limited time and resources (Wolters Kluwer, 2020). The AI algorithms produce insights into treatments, care processes, diagnostics, and patient outcomes (Health IT Analytics, 2018). Natural Language Processing (NLP) tools, one branch of AI, “include applications such as speech recognition, text analysis, translation, and other goals related to language,” according to Future Healthcare Journal (2019).

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Coding

Medical coding is the process of assigning numeric or alphanumeric codes to the diseases, injuries, treatments, and procedures that healthcare providers perform to record each encounter accurately and correctly bill the patient (Healthcare Business & Technology, 2019). Medical coding directly ties into medical billing, which includes “preparing billing claims and submitting them to insurance providers,” as noted in our previous article, “What Is Medical Coding and Billing? How Does It Streamline a Hospital’s Financial Performance?” Ensuring the encounter was coded correctly with the right terminology is essential for correct payment and an accurate patient medical history.

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EHR

Electronic health records were projected to make some pretty big waves in terms of change in the healthcare industry. In setting major goals of bringing higher quality care, making medicine safer, empowering patients and being more cost-effective, this new method had some pretty big shoes to fill.

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VA EHR system

The Veterans Affairs Department and Cerner have agreed on a new Electronic Health Record (EHR) system for the VA. This means that the VA will be using Cerner EHR, the same software as the Department of Defense. The project, estimated to cost $16 billion, will take about 10 years to take full effect.

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