@article{Korzeniewski_Bezold_Carbone_Danagoulian_Foster_Misra_El-Masri_Zhu_Welch_Meloche_et al._2020, title={The Population Health OutcomEs aNd Information Exchange (PHOENIX) Program - A Transformative Approach to Reduce the Burden of Chronic Disease}, volume={12}, url={https://ojphi.org/ojs/index.php/ojphi/article/view/10456}, DOI={10.5210/ojphi.v12i1.10456}, abstractNote={<p>This concept article introduces a transformative vision to reduce the population burden of chronic disease by focusing on data integration, analytics, implementation and community engagement. Known as PHOENIX (The <span style="text-decoration: underline;">P</span>opulation <span style="text-decoration: underline;">H</span>ealth <span style="text-decoration: underline;">O</span>utcom<span style="text-decoration: underline;">E</span>s a<span style="text-decoration: underline;">N</span>d <span style="text-decoration: underline;">I</span>nformation E<span style="text-decoration: underline;">X</span>change), the approach leverages a state level health information exchange and multiple other resources to facilitate the integration of clinical and social determinants of health data with a goal of achieving true population health monitoring and management. After reviewing historical context, we describe how multilevel and multimodal data can be used to facilitate core public health services, before discussing the controversies and challenges that lie ahead.</p>}, number={1}, journal={Online Journal of Public Health Informatics}, author={Korzeniewski, Steven J. and Bezold, Carla and Carbone, Jason T. and Danagoulian, Shooshan and Foster, Bethany and Misra, Dawn and El-Masri, Maher M. and Zhu, Dongxiao and Welch, Robert and Meloche, Lauren and et al.}, year={2020}, month={Apr.} }