HSM 720

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HSM 720
Building High Performance Virtual Teams

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notebook-53 Credits

[/vc_column_text][vc_column_text el_class=”course_syllabi_body”]Course Description
AMU doctoral projects are attributed to individual authors but are recognized by experienced professionals as the result of a team effort by which DBA students organizes sources of information, such as the individuals who normally oversee the process under study. In addition, AMU actively encourages the formation of joint research or study teams that assist the progress of dissertation projects. This course builds the core competency of forming several virtual teams who must be simultaneously led and organized by the doctoral student. The course builds a skill set in multiple group decision-making by virtual team members. The course thus reflects the reality of working in a contemporary health systems organization.

This course imparts the knowledge and teaches the skill to transform a dissertation theory into practice to create an original model via the dissertation project via the use of high performance teams which may communicate virtually. Relevant skills enhanced by the course are formation of research teams, study teams, and the macro team which is comprised of the champion and guiding coalition, student, sponsoring organization and American Meridian University. Competencies include team assembly of data, team data analysis, team formulation of process map, and team decision-making. A contemporary example of such virtual decision-making is the field of tele-health.

Course Format
This course is delivered in a series of online modules complemented by off-line review and assistance. In-person, on-site modules are offered when possible.

Course Goals
Deliver doctoral-level overview of the principles and best practices of quality systems management in health systems management.

Course Objectives

  • Teach how the elements of the define-measure-analyze-improve-control (DMAIC) quality system comprise a systemic approach to process improvement
  • Explain and demonstrate the skilled calculation of return on investment (ROI) from process improvements
  • Discuss systematic applications of quality-based applications in a project which integrates a comprehensive set of quality system principles, best practices, tools and vocabulary

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