Jody Heymann, UC Los Angeles - Stanford Medicine Big Data | Precision Health 2016 | Summary and Q&A

TL;DR

Big data is revolutionizing national health by providing insights into social determinants of health and helping measure the impact of policies on outcomes.

Key Insights

• 🧑‍🏭 Mortality outcomes are determined by social, environmental, and policy factors rather than genetics.
• 🖤 The World Health Organization lacks knowledge on effective interventions for social determinants of health.
• 😃 Big data allows for the collection and analysis of policy data to measure its impact on health outcomes.
• 🧑‍⚕️ Linking policy data with health outcome data provides insights into the mechanisms behind the impact of policies.
• 🧑‍⚕️ Bridging data across different levels (individual, community, global) is crucial for improving health outcomes.
• 🧑‍⚕️ The World Policy Analysis Center collects and analyzes policy data from 193 countries to measure its link to health outcomes.
• 😒 Two-way communication and the use of technology can enhance the accessibility and effectiveness of policy data.

Transcript

hi everybody thank you Mark it's a total pleasure to be here with you so for those of us it's probably true of everybody in the room who like me are data geeks and care about health this is a fantastic time to be alive so i'm going to show you why i think we're at this transformative time when it comes to national data and hopefully spark some new ... Read More

Questions & Answers

Q: How is the range of mortality outcomes across countries influenced by social determinants?

The range of mortality outcomes is shaped by social, environmental, and policy factors rather than genetic factors, as highlighted by the significant variations in life expectancy, infant mortality rates, and maternal mortality rates.

Q: How does big data contribute to addressing the lack of knowledge on effective interventions for social determinants of health?

Big data provides an opportunity to understand quantitatively what interventions are effective in addressing social determinants of health. By analyzing policy data and health outcomes, researchers can identify the impact of policies such as paid maternity leave on infant mortality rates.

Q: How does the World Policy Analysis Center utilize big data to measure the impact of policies on health outcomes?

The World Policy Analysis Center collects and analyzes policy data from 193 countries to measure its link to health outcomes. By longitudinally linking policy indicators with health outcome data, the center can identify natural experiments and mechanisms that explain the impact of policies on health outcomes.

Q: How can bridging data across different levels (individual, community, global) lead to better health outcomes?

Bridging data across different levels allows for a comprehensive understanding of the factors influencing health outcomes and enables targeted interventions. By addressing individual-level factors, local community factors, and global policies, it is possible to create a more effective and equitable healthcare system.

Summary & Key Takeaways

• The range of mortality outcomes across countries is influenced by social, environmental, and policy factors rather than genetics.

• The World Health Organization recognizes the impact of social determinants of health but lacks knowledge on effective interventions.

• Big data, in its various evolutionary stages, is enabling the collection and analysis of policy data to measure its link to health outcomes.