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Data Validation01:03

Data Validation

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Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Adaptive validation strategies for real-world clinical artificial intelligence

Fiona R Kolbinger1,2, Jakob Nikolas Kather3,4,5,6

  • 1Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA. fkolbing@purdue.edu.

Nature Computational Science
|November 17, 2025
PubMed
Summary

No abstract available in PubMed .

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