Skip to main content

Insights Pro: Aggregate Reporting and Analytics

Written by Eogan McCullen
Updated over 2 weeks ago

Intended Audience/User Role:

End Users with Submitting/Reporting Access

Region:

All Regions

Updated Date:

December 2025


Insights Pro is a comprehensive suite of aggregate reports that users can access to analyze patient safety event data. The reports are designed to be highly customizable and provide actionable insights into trends and areas for improvement. Users who are assigned the “Insights Pro” module by their account administrator, in Settings, can access the module. Users with access can click on the tile circled in red on the left-hand side when they log in:

Key Features of Insights Pro

Insights Pro reports offer extensive customization options and export capabilities:

  1. Data dashboards that allow for a deep dive into submission data from specific forms and form questions/fields.

  2. Chart-specific filters: Filters that are specific to each chart based on the form submission data it is displaying.

  3. General filters: All dashboards can be filtered further with additional filters


Dashboard A: Event Trend Analysis Reports

Chart 1:

  • What: Number of Events Over Selected Time Interval

  • Specific filters:

    • Event Type

    • Harm Level

    • Province/County/State (terminology varies based on country)

  • Why and when to use:

    • Evaluation of event reporting trends over a period of time

    • Identifying seasonal highs/lows

    • Performing subsequent analysis using store script count data

Chart 2:

  • What: Number of Events

  • Specific filters:

    • Province/County/State (terminology varies based on country)

    • Organization

    • Facility

  • When and when to use:

    • Comparative analysis of submission numbers across stores


Dashboard B: Root Cause Analysis Reports

Chart 1:

  • What: Number of Events by What Happened/Incident Type (Chart can also be filtered to show the following:

  • Specific filters:

    • What Happened

    • Contributing Factors

    • Harm Level

    • Primary Stage

    • Time/Day of the week

    • Staff Involved Count

  • Why and when to use:

    • Event trend reporting by a specific option selected e.g. incident type, contributing factor, harm level etc.

    • Identifying outliers, more commonly selected options within submissions.

    • Updating policies to mitigate against more frequently event types with a higher harm level from recurring.

Chart 2:

  • What: Where do errors typically occur

  • Specific filters: N/A

  • Why and when to use:

    • Identifying the most commonly selected stages when events occur.

    • Identifying key points for process improvement

Chart 3:

  • What: What factors contribute to errors

  • Specific filters: N/A

  • When and when to use:

    • Identifying the most commonly selected contributing factors for reported events.

    • Identifying key points for process improvement


Dashboard C: Medication Reports

Chart 1:

  • What: Number of Events by Products Dispensed or Prescribed

  • Specific filters:

    • Product Prescribed

    • Product Dispensed

  • Why and when to use:

    • Identifying the most products most involved in events

    • Identifying patterns e.g. Look-alike-sound-alike errors

    • Updating policies concerning high risk medications

Chart 2:

  • What: Shelving Analysis

  • Specific filters:

    • Active Ingredient

    • Brand Name

  • When and when to use:

    • Identifying the most commonly selected medications by first letter

    • Identifying high risk letters with more occurrences and related labelling issues associated with a particular medication and or look-alike-sound-alike errors.

Chart 3:

  • What: Top 5 Ingredients or Brand Names by form (Incident vs. Good Catch)

  • Specific filters:

    • Active Ingredient

    • Brand Name

  • When and when to use:

    • Comparing event occurrences per type

    • Identifying correlations between brands associated with incidents versus good catches

    • Further investigations into high risk ingredients/brand names


Dashboard D: Actions

Chart 1:

  • What: Corrective and Preventative Actions Dashboard

  • Specific filters:

    • Linked facility

    • Reporting facility

  • Why and when to use:

    • Retrieve a snapshot of the aggregate number of incidents and good catches reported for a specific time period

    • Identifying case reports that are open or closed

Chart 2:

  • What: Team Members with Outstanding Actions

  • Specific filters:

    • Linked Facility

    • Reporting Facility

  • When and when to use:

    • Identifying staff members with outstanding actions

    • Identifying duration of actions with open status

Chart 3:

  • What: Actions Log

  • Specific filters: N/A

  • When and when to use:

    • View historical actions

    • Identifying time of creation, appended and completed events


Dashboard E: Staff

Chart 1:

  • What: Staff Involvement

  • Specific filters: N/A

  • Why and when to use:

    • Review summary of aggregate number of events reported per event type

    • Review reported events open or closed status (similar to Dashboard 4: Actions Chart A)

Chart 2:

  • What: Summary of Staff Activity

  • Specific filters: N/A

  • When and when to use:

    • Reviewing staff usage and reporting habits

    • Verifying staff activity (users who have left the organization need to be inactive)

    • Filtering per store activity by filtering by the “Facility” header


Dashboard F: Safety Reports

  • What: Record of all generated safety reports (creating safety reports explained in “Event Management - Dashboard, Searching Events and Safety Reports”

  • Specific filters:

    • List of safety reports

    • By facility

  • Why and when to use: Review and re-download of all previous safety reports for record keeping purposes or subsequent case investigation/work-up.


Dashboard G: Export Data

Summary:

  1. It’s possible to export by a wide range of factors e.g. Form Data fields versus Actions, you can select the appropriate value here.

  2. Form specific filters allow the users to further tailor their data exports as needed to include/exclude specific form questions.

  3. Exported reports will then be downloadable to Microsoft excel. A notification is also sent via the top-right hand for users to access the file. You can export with all filters selected (blue button), or selected fields (green button), if selected fields is chosen, all possible filters are visible and you tick the appropriate headers you wish to include in your exported report.

  4. Export Data History table, a table showing previously downloaded reports in the past 7 days.

  5. Why and when to use:

    • Versatile reporting allows for different reports for different organization needs


Dashboard H: Charts

Chart 1:

  • What: Incidents per harm level

  • Specific filters:

    • Table

    • Chart

      • Area

      • Pie

      • Column

      • Line

      • Bar

      • Scatter

  • Why and when to use:

    • Viewing events per harm level

    • 0 value = good catches as it did not reach the patient/resident.

Chart 2:

  • What: Incidents per contributing factors

  • Specific filters:

    • Table

    • Chart

      • Area

      • Pie

      • Column

      • Line

      • Bar

      • Scatter

  • Why and when to use:

    • Viewing events per contributing factor

    • Identifying outliers to address through CQI interventions

Chart 3:

  • What: Incidents per day of the week

  • Specific filters:

    • Table

    • Chart

      • Area

      • Pie

      • Column

      • Line

      • Bar

      • Scatter

  • Why and when to use:

    • Identify days of the week during which events are most reported

    • Investigating contributing factors related to days of the week such as workload, patient traffic etc.

Chart 4:

  • What: Incidents per day of the month

  • Specific filters: N./A

  • Why and when to use:

    • Identify days of the week during which events are most reported

    • Investigating contributing factors related to days of the month such as workload, patient traffic etc.

Did this answer your question?