Natural language processing (NLP) is delivering on the promise of artificial intelligence in healthcare by providing significant value across clinical and administrative functions. This white paper examines the capabilities of clinically aware NLP and why it’s essential to revenue cycle transformation; five things to look for in an NLP solution; and vital areas where it’s currently showing significant impact.
Working on genomic data is a natural extension of the HIM professional’s typical job functions, such as managing data, performing data analysis using software programs, and protecting patients’ data security and privacy.
When physicians have access to cost data and other clinical data that accompanies it, they are able to make better decisions about treatments while lowering costs for their practices and their patients, a report finds.
While the practical applications of artificial intelligence (AI) are still being discovered, one area of AI — natural language processing (NLP) — is already helping advance the revenue cycle. Discover how the right NLP can support accuracy, efficiency and revenue integrity by powering comprehensive clinical documentation improvement and coding earlier in the process.
Data analytics is at the center of one health system’s plan to create a “mission control” center with a “Wall of Analytics” to help improve service and outcomes at all the hospitals it manages.
After officials at Rush University Medical Center noted a sharp drop in its quality ratings by CMS, an internal analysis revealed that the agency has been using faulty math to calculate the agency’s star ratings since 2016.