Improving Patient Care

Overview

Through Data Analytics Data analytics is a powerful tool that is being utilized in healthcare to improve patient care. By examining large amounts of data, including patient records and medical imaging, providers can identify trends and patterns that help inform best practices and predict patient outcomes. Doctors, nurses and other healthcare professionals can use data analytics to determine the most effective treatments for specific conditions, identify high-risk patients who need extra support, develop protocols for preventive care initiatives, and better allocate resources. By using data analytics to optimize patient care, healthcare organizations can improve patient satisfaction, reduce medical errors and ultimately lower the cost of healthcare.

Research published in this journal

2 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 2 articles above have been cited 2 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Oct 2025.

• “Sow, Grow, Know, and Show”: The Impact of School Gardens on Student Self-Perception in the Mississippi Delta
  E. Holmes et al. · 2020 · Ecology of Food and Nutrition
• Organizational Factors in Patient-Centered Medical Home Implementation and Chronic Disease Management in HRSA-Funded Community Health Centers
  2019 ·

A sample of recent works citing this journal's research on Improving Patient Care, linking to each citing work.

This page summarises published research for orientation; it is not medical or professional advice.

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