Resilient Health Systems of the Future: the Case for Community Health

This report explores how to build resilient health systems for the future, drawing on lessons from the COVID-19 pandemic.

(Generated with the help of GPT-4)

Quick Facts
Report location: source
Language: English
Publisher: Forum for the Future
Publication date: December 1, 2021
Authors: Amanda Janoo, Ben Davies, Brian Dow, Debbie Rogers, Denise Octavia Smith, Diana Nambatya Nsubuga, Dr Madeline Ballard, Dr. Balkrishna Korgaonkar, Dr. Githinji Githai, Dr. Khama Rogo, Gaurav Mehta, Laura Winn, Maryse Kok, Mathilde Forslund, Nan Chen, Reg Joseph, Saachi Dalal, Sundeep Kapila, Wadzanayi Muchneje
Geographic focus: Global
Page count: 10

Methods

The research method involved hosting a series of dialogues with leading health contributors to discuss key questions about the future of health systems. The dialogues were structured using the Three Horizons framework to explore current conditions, desired futures, and the necessary transitions. The report consolidates findings from these discussions.

(Generated with the help of GPT-4)

Key Insights

The report, a collaboration between Johnson & Johnson Center for Health Worker Innovation and Forum for the Future, synthesizes dialogues with global health practitioners on creating resilient health systems post-COVID-19. It emphasizes the importance of community health, the role of community health workers, and the integration of digital tools. The report advocates for health systems that are proactive, responsive, equitable, and community-centered, focusing on wellness and prevention rather than just treatment. It highlights the need for systemic change, including shifting public mindsets, empowering communities, supporting health workers, and leveraging digital technology for better access and predictive care. The report calls for a human-centered approach to health, with greater collaboration across sectors and levels of society to address social determinants of health and ensure continuity of care.

(Generated with the help of GPT-4)

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Last modified: 2024/03/18 17:17 by elizabethherfel