PHP465
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PHP465 - Leadership and Strategy for Population Health Using Generative AI
Course Description
Healthcare organizations are facing growing complexity in addressing population health due to evolving patient demands, technological changes, and partner engagement. Complexity theory argues for inter-organizational leadership to develop community models that develop strategies to address evolving patient care journeys. These strategies include exploration and evaluation of innovative services that leverage technology and external partners and adapt viable services to address shared patient-provider goals and support community model resiliency. The course uses research on leadership and strategy to design innovative services to address the care journey of a selected population group using generative AI tools through a semester long project. A short research paper, research article synthesis, short case analysis are also used to assess student learning and support different phases of the student project.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Undergraduate
May be convened with
PHP565
Component
Lecture
Optional Component
No
Typically Offered Main Campus
Fall
Typically Offered Distance Campus
Not Offered
Typically Offered Online Campus
Not Offered
Typically Offered Phoenix Campus
Not Offered
Typically Offered Sierra Vista Campus
Not Offered
Typically Offered Community Campus
Not Offered