Patient population dashboard (preview)
Important
- This is a preview feature.
- Preview features aren't meant for production use and may have restricted functionality. These features are available before an official release so that customers can get early access and provide feedback.
Patient population dashboard (preview) provides a summary of the key metrics of your patient population and helps you identify cohorts of patients for outreach.
Note
This article describes the functionality of the dashboards if they haven't been configured yet. However, your administrator may have configured the dashboard and the functionality may vary from what's described in this article.
Appointments
This dashboard provides a summary view of scheduled appointments along with key summary statistics including appointment attendance, scheduled appointments by provider service types, and time since patients' last appointment.
Slicers
Slicers help you quickly focus on data points you're interested in. You can filter the data in the dashboard by the appointment start date (msemr_starttime) using the relative date slicer, and the associated patient's information using the age range and gender slicers. The age range and gender slicers support functions such as multiple selections and "select all".
Slicer | Field |
---|---|
Date range | msemr_appointmentemr.msemr_starttime |
Age range | current date - contact.birthdate |
Gender | contact.gendercode |
Key metrics
Cards on the dashboard allow you to assess the total number of scheduled and missed appointments, including the rate of change over the previous same period.
Important
- Scheduled appointments are defined as appointments having an appointment status of booked, arrived, checked-in, no show or fulfilled, and with their activity status not set to cancelled.
- Missed appointments are defined as appointments having an appointment status of no show, with their activity status not set to cancelled.
Charts
The appointments dashboard displays the following charts for analysis:
Appointment attendance: Provides a view of attended scheduled appointments versus missed scheduled appointments by percentage.
Important
Attended appointments are defined as appointments having an appointment status of fulfilled, with their activity status not set to cancelled.
Time since patients' last appointment: Shows the number of patients grouped by their last fulfilled scheduled appointment visit, measured in terms of years.
Patients are categorized under Next appointment scheduled if they have a scheduled appointment in the future and No appointment scheduled if they don't have anything scheduled in the future.
Top 10 scheduled provider service types: The treemap chart reflects the top 10 service categories associated with the scheduled appointments.
- Details regarding the appointment channel are also included in the visual.
- The top records are ordered by the count of appointments for each service category and the service category name.
Provider service types and attendance: Shows the appointment attendance per service category.
Hospitalizations
This dashboard provides a summary view of inpatient hospitalizations along with key summary statistics including total hospitalizations, total readmissions, average encounters in days, hospitalization types, encounter lengths, top 10 conditions for hospitalization, and follow-up appointment attendance.
Slicers
You can filter the data in the dashboard by the hospitalization start date using the relative date slicer, and the associated patient's information using the age range and gender slicers.
Slicer | Field |
---|---|
Date range | msemr_ve_encounter.msemr_encounterstartdate |
Age range | current date - contact.birthdate |
Gender | contact.gendercode |
Key metrics
Cards on the dashboard allow you to assess the following metrics, including the rate of change over the previous same period:
- Total hospitalizations
- Total readmissions
- Average encounter in days
Important
Hospitalizations are defined as encounters where both of these two conditions are true:
- Encounters that don't have canceled or entered in error statuses. The encounters should have valid encounter start and end dates. The dates shouldn't be null, and the start date shouldn't go past the end date.
- Encounters having any of the following classes: inpatient encounter, inpatient acute, inpatient non-acute, or an inpatient class history.
Readmissions are hospitalizations that have their readmission field populated.
Average encounter is the duration (in days) between the hospitalization encounter start date and end date (including the start and end dates). If the class history has an inpatient value and not the encounter, then the start and end dates of the class history will be used instead.
Charts
The hospitalizations dashboard displays the following charts for analysis:
Hospitalization type: Provides a view of new hospitalizations versus readmissions by percentage.
Encounter lengths (includes hospitalizations): Shows the percentage of encounters that are above or below the average encounter length.
Top 10 conditions for hospitalization: The treemap chart reflects the top 10 conditions associated with the hospitalizations.
The top records are ordered by the total count of conditions and the condition name.
Follow-ups set by provider after hospital discharge: Shows the follow-up appointment attendance, and whether the visit is beyond or within seven days after hospital discharge.
Follow-up appointments must be scheduled appointments with the type Follow up. If there's no follow-up, the hospitalization is categorized as a No provider follow-up.
See also
What is Microsoft Cloud for Healthcare? Configure patient population dashboard (preview)