This session focuses on the research supported by the J. Armand Burgun Fellowship and the findings of the most common health care design review deficiencies from the Texas Department of State Health Services.
Describe a refined data mining methodology for gathering information from public sources related to this issue.
Explain a refined data analysis method for clustering deficiency data into meaningful groups that can frame an educational experience for practitioners.
Discuss a model for translating research findings around most common design deficiencies and potential best practices.
List the most common code deficiencies and ways to avoid them.