The standard eAnalyze dashboard provides access to many metrics and graphs you can use to improve your utilization of eVisit.
This overview will cover the basics of using the tools in eAnalyze to drill down into:
- Global Filters
- All Visits
- Completed Visits
- Visit Data Tables
- Visit Traffic Data
- Downloading the Data
Figure 1: eAnalyze Dashboard Overview
Users should take advantage of the global filters at the top of the dashboard. This allows users to ask and answer their own questions about the performance of specific practices and providers within those practices.
- One or more practices and physicians can be selected at a time.
- Users can also adjust the date range in a variety of ways, including specifying a range of exact dates.
- Once the correct filters have been selected, just click Apply in the lower right.
The user can reset all filters at any time, by clicking Reset Filters in the bottom right of the toolbar.
Figure 2: Global Filters
Note that your global filters will look differently than what’s demonstrated in Figure 2: Global Filters.
The first chart on the dashboard displays all potential visits, not just visits that were completed. Users can customize filters by date range, practice, and provider.
Figure 3: Outcomes of all Potential Visits
To focus on a specific category, unclick the categories that are not of interest in the legend.
Figure 4: Adjusting the Local Filters to a Graph
Remember all defaults can be reset with the “Reset Filters” option in the global toolbar at the top of the report.
The next section explores details related to just completed visits. The global filter for date range will determine which of the monthly, weekly, or daily completed visit count graphs are most useful.
There are two standalone statistics that help the user understand the big picture for the period of time. They will know how many visits were completed and how many physicians were involved.
This section also allows the user to understand details about the patient experience. At the end of each visit, patients can answer survey questions and rate their experience. The question, the average rating, and the total response count per question are listed in this section.
Figure 5: Completed Visit Totals, Subtotals, and Patient Satisfaction
The remaining portions of this section help an administrator identify areas for possible improvements in their operations. Users can explore visit variations per hour and specialty (practice).
This graph allows users to choose the hours of interest and then hover to see total visits that occur during this time period. They can also quickly discern the busiest hours based upon the corresponding thickness of the color bands. Please note that the user can scroll within the legend to see more hours.
Figure 6: Some Graphs are Best Used with Local Filters
Customers with multiple practices will be able to make the same comparison using this graph.
Figure 7: Specialty Practice Volume Comparison
These graphs help the user understand how long their patients wait for their visits, as well as the total length of time patients spend with their physicians. In this example, most patients wait less than a minute before connecting with their physician, but visits last longer than an hour, between the moments the physician connects and disconnects.
Figure 8: Comparing Visit Waits and Duration by Interval
Administrators can monitor patient visits by device and operating system. This is tracked for core visits only (not express).
Figure 9: Device Usage can be tracked with Core Visits
Customers who use our core product will know how long patients spend in each part of the funnel. In this example, patients spent an average of 12 minutes between when the patient and the physician entered the portal. After the connection, the visit lasted an additional five minutes, with a total visit time from patient log in to log out lasting 17 minutes.
Figure 10: Core Visit Stage Tracker
Visit Data Tables
Visit Data tables are meant to provide an alternative way of viewing graphic information. Visit densities are aggregated by day of week and time of day.
The Wait Time table helps users understand how many patients are waiting, on which week days, and the amount of time they approximately wait. The columns represent the rounded wait time in minutes. The counts represent how many patients waited, over the course of the date range determined in the global filter.
Note that users have the ability to scroll horizontally.
Figure 11: Visits by Day and Time of Day; Wait Times in Minutes per Week Day
Visit Traffic Data
The final section explores visit traffic data on a daily basis by practice. It is important to note that this is an extremely long table with many variables of interest. Users should use the scrolls on either side to explore the information.
Figure 12: Daily Visit Statistics
These are the unique variables included in the Visit Stats:
- Practice Kind
- Submitted Visits
- Rated Visits
- Confirmed Visits
- Completed Visits
- Canceled Visits
- Connected Visits
- Connected Visits over Eighty Percent
- Total Visit Duration
- Total Visit Wait
- Total Visit Media Score
- Total Visit Experience Rating
- Average Visit Success (%)
- Average Checkout Success (%)
- Average Connection Success (%)
- Average Connection Over Eighty Percent (%)
- Average Visit Duration
- Average Visit Wait
- Average Visit Media Score
- Average Visit Experience Rating
- Active Providers
- Percent Active Providers (%)
The final table allows users to see statistics related to individual providers or physicians, including wait time, visit duration, and total number of visits completed. As always, averages and counts adjust to the global filters selected, in particular, note the existing date range selected.
Figure 13: Physician Performance
Please note that the user can obtain information from a visual in at least three ways. They can derive a quick sense of trend, hover over a section to see a specific detail, or download the data that was used to generate the image. To download a graph image or data, just click on the hamburger filter in the top right corner of the specific visual. If global or local filters are applied, the underlying image and data will also be changed prior to download.
Figure 14: Downloading Images and CSV files from Graphs and Tables