Daily Summaries 

Tuesday – 03/03/2026

On this day, I continued refining my presentation by carefully reviewing each slide for spelling, grammatical, and wording errors to ensure clarity and professionalism before presenting to the UHC Core Operations team. I focused on strengthening transitions between sections so that the financial analysis, legal considerations, and implementation plan flowed logically and were easy for stakeholders to follow.

After completing this review, I shifted my focus to beginning a new project related to appointment timing within the dental clinic. I started brainstorming how to approach analyzing the length of each appointment type in order to better understand clinic efficiency and workflow patterns. I outlined potential methods for identifying accurate timing data and considered how this information could support future operational improvements.

To begin gathering data, I explored the different report options within the Point-and-Click software system. I reviewed various appointment and production reports to determine which would provide insight into appointment duration. Through the Appointment Reports section, I identified and listed the different appointment types based on Clinical Hours Percentage by Visit Type. This allowed me to establish a structured starting point for analyzing how clinic time is distributed among preventive, restorative, and other procedure categories. Overall, today marked the transition into a new operational analysis project focused on appointment timing and clinic efficiency.

Thursday – 

On this day, I focused on analyzing the demographic composition of the UGA University Health Center Dental Clinic patient population. I began by conducting research within the Point-and-Click software system to determine the most effective reports for gathering accurate patient demographic data. After reviewing several report options, I identified the Clinical Facility Reports as the most appropriate source for obtaining information about the clinic’s patient population. I exported demographic data for all dental clinic patients seen throughout the 2025 calendar year and began organizing the dataset for analysis. To ensure the accuracy of the information, I first removed duplicate patient entries so that each individual would only be represented once in the dataset. I then sorted the remaining patient records by academic status to categorize patients as undergraduate students, graduate students, faculty, staff, or family members. To further verify each patient’s classification, I reviewed the associated 810- and 811- patient codes within the system to determine the correct student or faculty designation for each patient. This process allowed me to begin calculating the proportion of the clinic’s patient population represented by each group. 

Summary of Week 8 with Competencies 

• 2.2 Define Desired Outcomes
  • 2.2.2 Elicit input from priority populations, partners, and stakeholders regarding desired outcomes
  • 2.2.3 Develop vision, mission, and goal statements for the intervention(s)
  • This week, I continued refining my Dental Savings Plan presentation to ensure that the intended outcomes of the intervention were clearly communicated to stakeholders. By revising wording, improving clarity, and strengthening transitions between slides, I ensured that the goals of the DSP—improving access to preventive care while maintaining financial sustainability—were explicitly defined and aligned with stakeholder priorities. This refinement process helped clarify the desired outcomes for both patients and clinic leadership, reinforcing the mission of increasing affordability and accessibility within the UHC Dental Clinic. Additionally, as I began planning my new appointment timing project, I considered how this operational analysis could support broader clinic goals related to efficiency, patient flow, and resource allocation.
• 1.1 Plan Assessment
  • 1.1.1 Define the purpose and scope of the assessment
  • 1.1.4 Examine the factors and determinants that influence the assessment process
  • As I transitioned into the appointment timing project, I began defining the purpose and scope of this new assessment. I established that the primary objective is to analyze the duration and distribution of appointment types to better understand how clinical hours are allocated and whether adjustments could improve efficiency or access. To begin this process, I explored various report types within the Point-and-Click system to determine which data sources would be most appropriate for identifying appointment timing information. By reviewing the “Clinical Hours Percentage by Visit Type” data and listing each appointment category, I began examining structural and operational factors that may influence appointment length, scheduling patterns, and clinic productivity. This initial planning stage laid the foundation for a structured operational assessment that will inform future recommendations related to clinic workflow and resource management.
  • 1.2 Obtain primary data, secondary data, and other evidence-informed sources
  • 1.2.1 Identify primary data, secondary data, and evidence-informed resources
  • During this week, I obtained and analyzed secondary data from the UGA University Health Center Dental Clinic’s electronic records to better understand the composition of the clinic’s patient population. Using the Point and Click reporting system, I located clinical facility demographic reports for all dental patients seen during the 2025 calendar year. I exported the data and organized it within Excel to allow for further analysis. I organized the dataset by removing duplicate patient entries and sorting individuals by academic status categories, including undergraduate students, graduate students, faculty, staff, and family members. To confirm each patient’s classification, I reviewed the 810 and 811 status codes associated with patient records within the system. This analysis helps provide important context for understanding the populations served by the clinic and will support future planning related to both the Dental Savings Plan initiative and clinic operational improvements, including scheduling and resource allocation.

Week 8 Summaries 

During my eighth week with the UGA UHC Dental Clinic, I focused on finalizing my DSP presentation while beginning a new clinic operational timing assessment project. I continued carefully reviewing my Dental Savings Plan presentation to strengthen wording, eliminate grammatical errors, and improve overall flow to ensure the proposed outcomes are clearly communicated to stakeholders. This process helped reinforce the goal of the program, to improve access to preventive dental care while maintaining financial sustainability for the clinic.

In addition to finalizing presentation details, I initiated a new project centered on analyzing appointment timing within the dental clinic. I began by defining the purpose and scope of this assessment, identifying the need to better understand how clinical hours are distributed across different appointment types. To support this, I explored various report options within the Point-and-Click system and reviewed the “Clinical Hours Percentage by Visit Type” data to compile a comprehensive list of appointment categories. This initial planning phase established the foundation for evaluating workflow patterns, time allocation, and potential areas for operational improvement within the clinic.

Using the Point and Click electronic health record system, I then located clinical facility reports that contained demographic information for all dental clinic patients seen throughout 2025. I exported this data and cleaned the dataset by removing duplicate entries to ensure that each patient was represented only once. After organizing the dataset, I sorted patients by academic status categories, including undergraduate students, graduate students, faculty, staff, and family members. I then verified each patient’s classification by reviewing the associated 810 and 811 status codes within the system. Understanding the demographic makeup of the patient population is important to emphasize why we need to target the Dental Savings Plan to the student population, because of having such a large population of students. Overall, this week emphasized the use of secondary clinical data to support evidence-informed planning and to strengthen the clinic’s understanding of the populations it serves.