Big Data in Healthcare Assignment Answers

Question:

Discuss sampling approaches to big data. Apply big data trends to propose a change in healthcare structure and function within your healthcare facility with full rationale

Big Data in Healthcare Answer and Explanation

Sampling Big Data in Healthcare

• • Cluster Sampling: Group data geographically or by hospital wing. Efficient, but clusters might not perfectly reflect the whole population.

• Non-Probability Sampling:

Big Data Trends and Healthcare Transformation

• Change: Implement a data platform to collect and analyze this data.

• Rationale: Proactive care - identify trends and prevent complications before they arise. Early detection of issues like heart arrhythmias or blood sugar fluctuations can save lives.

• Change: Invest in secure storage and analysis tools for genomic data.

• Rationale: Tailor treatments to individual patients based on their genetic makeup. Develop targeted therapies and improve treatment efficacy.

Remember: Sampling is crucial for big data analysis in healthcare. Choose the right approach based on your specific goals and ensure data privacy and security.