Which technique is used by data science to reduce administrative costs?

Prepare for the Rowan Health Systems Science 1 Test. Utilize flashcards and multiple-choice questions, with hints and explanations for each question. Get ready to ace your exam!

Multiple Choice

Which technique is used by data science to reduce administrative costs?

Explanation:
Natural language processing is central to cutting administrative costs because it enables software to understand and extract structured data from unstructured text found in electronic health records, notes, forms, and claims. By turning free-text into searchable, codable data, NLP supports automated coding, billing, scheduling, and patient communications, reducing manual data entry, errors, and processing time. The other options serve different purposes—3D printing creates physical models, VR simulations are for training and simulation, and genomic sequencing generates genetic data—so they don’t directly streamline administrative tasks in data-heavy workflows.

Natural language processing is central to cutting administrative costs because it enables software to understand and extract structured data from unstructured text found in electronic health records, notes, forms, and claims. By turning free-text into searchable, codable data, NLP supports automated coding, billing, scheduling, and patient communications, reducing manual data entry, errors, and processing time. The other options serve different purposes—3D printing creates physical models, VR simulations are for training and simulation, and genomic sequencing generates genetic data—so they don’t directly streamline administrative tasks in data-heavy workflows.

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