Topics Graph Metrics Search:  
This is an option to graphically analyze business trends in terms of Old/New Patients, Visits, and the load of Doctors. This is a clinic-level analysis. The total data, which needs to be mined, is large. Hence, it is necessary to filter the data effectively to present any analysis. The form helps to achieve this objective in a simple fashion.

Gr. Title: The name for the graph.

Gr. Type: The user can choose between different types of graphs.

X-Axis: Since this is a clinic-level analysis, it could be doctor-wise or month-wise.

Y-Axis: What is being analyzed.
  • Visits (Encounters); this translates to money
  • Patients: the loyal customer base that reflects your potential
  • New Patients: an indicator of growth
Date: Consider encounter data within the range of selected dates.

Age: For a proper demographic analysis, select the required age group.

Sex: For a proper demographic analysis, select the required sexes.

ICD: The analysis could be restricted to encounters involving a specified range of ICD codes. This will be applicable only if these ICDs were selected in the encounters.
Since there can be multiple ICD codes associated with an encounter, the user can further specify if all codes should be considered or only the primary code.

CPT: The analysis could be restricted to encounters involving a specified range of CPT codes. This will be applicable only if these CPTs were selected in the encounters.
Since there can be multiple CPT codes associated with an encounter, the user can further specify if all codes should be considered or only the E & M.

Doc: By default, data for all doctors is selected.
If the analysis is required doctor-wise (X-Axis option), the user can choose one or more doctors from the list box.
Check the All checkbox to select all doctors in the list box.

Show Graph Button: This will generate a graph with the selected options. Some examples include:
  • Month-wise visits (a patient can make more than one visit)
  • Month-wise new patients
  • Doctor-wise patients seen in a quarter
  • Number of patients month-wise with a specific problem
  • Number of patients doctor-wise with a specific procedure