William Riley, National Institutes of Health - Stanford Medicine Big Data | Precision Health 2016 | Summary and Q&A

TL;DR

The Precision Medicine Initiative aims to integrate social and behavioral factors, along with genomics and other data, to improve healthcare outcomes.

Key Insights

• ❓ Precision Medicine Initiative includes genomics, lifestyle, environmental, and social data to personal healthcare.
• 🧑‍⚕️ Social and behavioral factors have a significant influence on health outcomes and treatment responses.
• 🧑‍⚕️ Precision Public Health takes a population-level approach, considering social determinants of health.

Transcript

thank you uh thanks Mark um I think all of us at NIH are midwives in some way um on the research that goes on um at the NIH um I think Claudia did a really nice job this morning kind of laying the groundwork for the Precision medicine initiative and the overall sort of concept of it at the 30,000 foot level and the context in which it's going to be... Read More

Questions & Answers

Q: What is the Precision Medicine Initiative and how does it differ from traditional healthcare approaches?

The Precision Medicine Initiative integrates various data, including genomic, lifestyle, environmental, and social, to tailor healthcare to individual patients. It goes beyond the traditional "one size fits all" approach and considers personalized factors that impact health outcomes.

Q: Why are social and behavioral factors important in Precision Medicine?

Social and behavioral factors, such as lifestyle choices, environmental influences, and social support, can significantly impact health outcomes. Understanding and incorporating these factors into Precision Medicine can lead to more effective treatments and interventions.

Q: How does Precision Public Health contribute to Precision Medicine?

Precision Public Health takes a broader perspective on Precision Medicine, considering population-level factors and the social determinants of health. It emphasizes the integration of social, behavioral, and environmental data to inform public health strategies and interventions.

Q: How can Precision Medicine benefit from longitudinal data and big data analytics?

Longitudinal data, collected over time, allows researchers to track changes in behavior, health outcomes, and the impact of interventions. Big data analytics enable the integration and analysis of vast amounts of data, providing insights into complex relationships and improving predictive modeling.

Summary & Key Takeaways

• The Precision Medicine Initiative involves the integration of genomic, lifestyle, environmental, and social data to improve health outcomes.

• Social and behavioral factors play a crucial role in Precision Medicine, beyond genes, drugs, and diseases.

• Precision Public Health proposes a broader perspective on Precision Medicine, taking into account social and environmental influences on health.