Which data science tool is used to reduce administrative costs?

Which data science tool is used to reduce administrative costs?

• A. Data visualization
• B. Cloud storage
• C. NLP (natural language processing)
• D. Random forest prediction

Answer: (C)

Automating how we handle written information is the fastest way to cut administrative overhead in healthcare. Natural language processing makes machines understand and extract data from unstructured text such as clinical notes, discharge summaries, forms, and emails. By pulling out key details (patient identifiers, dates, diagnoses, codes) and even generating summaries or filling out forms automatically, NLP reduces the time staff spend on manual data entry, coding, and chart review. That direct automation translates into lower labor costs and quicker administrative workflows. Data visualization helps interpret and communicate data but doesn’t automatically decrease the amount of tedious admin work. Cloud storage lowers infrastructure costs for keeping data, but again, it doesn’t streamline the actual administrative tasks. Random forest prediction is about forecasting outcomes or responses, which can support planning, but it isn’t the tool that directly automates or simplifies routine administrative processes.

Automating how we handle written information is the fastest way to cut administrative overhead in healthcare. Natural language processing makes machines understand and extract data from unstructured text such as clinical notes, discharge summaries, forms, and emails. By pulling out key details (patient identifiers, dates, diagnoses, codes) and even generating summaries or filling out forms automatically, NLP reduces the time staff spend on manual data entry, coding, and chart review. That direct automation translates into lower labor costs and quicker administrative workflows.

Data visualization helps interpret and communicate data but doesn’t automatically decrease the amount of tedious admin work. Cloud storage lowers infrastructure costs for keeping data, but again, it doesn’t streamline the actual administrative tasks. Random forest prediction is about forecasting outcomes or responses, which can support planning, but it isn’t the tool that directly automates or simplifies routine administrative processes.