Knowledge Base for Supply App

Supply App Release notes 2024.4

Table of contents

• 1. Easily create and maintain models with lot pooled trials 
  • 1.1. Create lot pooled trials
  • 1.2 Define lot pooled trial specific locations
  • 1.3. Leverage the use of lot pooled trial specific locations in your trial
  •  1.4. Lot pooled trials in the reporting tools
• 2. Model different visit schedules per trial
  • 2.1. Define a visit schedule per patient group
  • 2.2. Define a visit interval per patient group
  • 2.3. Better understand the dispensing specific to patient groups
• 3. Other updates
  • 3.1. User experience updates
    • 3.1.1. Give more meaningful descriptions to the datasets
    • 3.1.2. Comment your results 
    • 3.1.3. Initial state: improved usability
    • 3.1.4. Home view: filter on custom label
    • 3.1.5. Network setup: one click to align route info with Master Data standards
    • 3.1.6. A clearer interface for the Depot shipment module
    • 3.1.7. Easily find the name of the result when accessing the dashboard
    • 3.1.8. Clearer user messages
  • 3.2. Global performance dashboard updates
    • 3.2.1. Stage column added in the Comments table
    • 3.2.2. Decision comment accessible in the waste graph
    • 3.2.4. Data quality can be filtered by “Last decision only”
    • 3.2.5. Unmatched SKUs are now considered in the dashboard
    • 3.2.6. More intuitive wording for fixed productions
  • 3.3. Results report updates
    • 3.3.1. Discontinuation probabilities 
• 4. Bug fixes

1. Easily create and maintain models with lot pooled trials

Once created, the lot pooled trials can be associated with site groups/depots in the corresponding table.

1.2 Define lot pooled trial specific locations

Adding site groups/depots is done through the dedicated actions next to the Site groups and Depots tables (see image below).

Clicking on any of those buttons opens a new window where you can select site groups/depots you want to associate with a lot pooled trial. The selected site groups will be added to the site groups table. In case lot pooled trials are also selected, one row will be added for each combination of site group & lot pooled trial, e.g., in the image below, 6 new rows will be created.

The combination of a site group/depot with a lot pooled trial will be considered as a separated site group/depot in the trial as well as in the simulation outputs. Site groups/depots will be displayed with their names defined in the Name column (see image below).

1.3. Leverage the use of lot pooled trial specific locations in your trial

1.4. Lot pooled trials in the reporting tools

As a consequence, you can now monitor and analyze the result of lot pooled trials in the Monitoring and Results dashboards, respectively. As in the trial, the locations will be displayed by their names (see image below).

2. Model different visit schedules per trial

2.1. Define a visit schedule per patient group

You can now assign specific visits to patient groups (in the Treatment visits table) thanks to the new Patient groups column. For example, this can be used to model a visit schedule per cohort (see image below) as the same visit can be assigned to multiple patient groups.

Moreover, you can now define a visit schedule per patient group in combination with a baseline visit and therefore without using skipped visits.

2.2. Define a visit interval per patient group

You can now define a visit interval per patient group (in the Visits intervals table) thanks to the new Patient groupscolumn (see image below).

The same visit interval can be defined for multiple patient groups.

2.3. Better understand the dispensing specific to patient groups

In previous versions, the dispensing visualization in the Dispensing tab was showing all visits for all patient groups making it difficult to understand for complex trials.

You can now better visualize the dispensing of each patient group as only the visits assigned to the selected patient group will be shown in the table (see image below).

3. Other updates

The description now also supports a multiline format. This means that if one user describes a dataset in one paragraph and another user adds information in a separate paragraph, the formatting will remain consistent.

Furthermore, the description of a setup is also displayed when creating a plan or updating the setup of an existing plan, facilitating the selection of the correct setup (see image below).

3.1.2. Comment your results

You can now write a comment for a result in the Results table (see image below).

Then, when taking a decision for that result, the comment is automatically transferred to the decision and therefore will be pushed to the Global performance dashboard. The decision maker can still delete or edit the comment if need be.

Site groups are now displayed within the Patients tab in the initial state (see image below). Thanks to this, you now have a clearer insight into the current status of patients per site group. It also helps to identify any potential risks or unusual patterns while reviewing the initial state.

3.1.4. Home view: filter on custom label

Looking for a specific trial or group of trials is now easier thanks to the newly introduced filtering capabilities in the All trials view. You can filter trials by status, therapeutic area and labels (see image below).

Clearing the selection of a filter will result in an “Empty” filter, meaning that the system displays all the trials without that particular parameter (see image below).

3.1.5. Network setup: one click to align route info with Master Data standards

You can now align the routes in the Network setup with the values in the Master data in only one click. An Align with Master data button is now available on top of the Routes table (see image below).

When clicking on the Align with Master databutton, a window is displayed with the information of the outdated values in the setup and the corresponding values in the Master data. By default, all rows are selected. After confirming the selection, the values in the routes table are automatically updated to the ones defined in the Master data.

3.1.6. A clearer interface for the Depot shipment module

You now have access to additional space in the Depot shipments planningmodule (see image below). The layout has been optimized to use the available space more effectively while retaining all existing functionalities.

3.1.7. Easily find the name of the result when accessing the dashboard

The dashboard’s name is now visible on the tab, allowing you to directly click on the desired dashboard without navigating through all open tabs.

Moreover, hovering over a tab now displays the name of the associated result (see image below).

3.1.8. Clearer user messages

A banner has been added to the Products tab of the Trial master data, to inform you about potential issues when trying to delete package type, label group and product (see image below).

Repetitive warning messages displayed when the relevant past productions value in a result was 0 are now removed. You were not able to edit this value in the result even though an “Edit“ button was displayed in the message. Now, only a warning message is displayed that informs you about potential issues during the computation of the waste (see image below).

3.2. Global performance dashboard updates

3.2.1. Stage column added in the Comments table

The Stage column is now available in the Comments table of the Waste and Material cost views (see image below). This column can proivde context to organise and better understand the decision.

3.2.2. Decision comment accessible in the waste graph

When hovering the mouse over the graph, you can now see the decision comment (see image below).

3.2.3. Risk information added in the data quality

You can now visualize risk information in the Global performance dashboard at two locations:

• A new Out of stocks [#visit] column is now available in the Overview per trial table of the Data qualitysheet (see image below).

• A new Risk table is now available in the Data quality sheet, displaying the risk of missed visits and out of stock for each decision (see image below).

3.2.4. Data quality can be filtered by “Last decision only”

To ease the recurring analysis of data quality, you can now filter the data quality views by “Last decision only” (see image below).

3.2.5. Unmatched SKUs are now considered in the dashboard

All SKUs that are not matched now appear in the aggregation unit called “No AU defined in the trial master data” (see image below) and will be counted in the “Global Waste” metric at the top of the table.

3.2.6. More intuitive wording for fixed productions

In the Forecasted waste sheet, the Future frozen productionis now named Future fixed production (see image below) to avoid the confusion with the “frozen production” concept from the Production App.

3.3. Results report updates

3.3.1. Discontinuation probabilities

Values are now displayed per patient group and per treatment arm in the table and are not summed up anymore. Thanks to the slicers, it’s also easier to filter the table and the graph (see image below).

3.3.2. Improved performances

The number of formulas has been reduced to improve the Excel performances. As a trade-off and, in case of very long tables, formulas need to be expanded.

4. Bug fixes

The following issues are now fixed:

• The past dispensing of kits not present in any past or future productions was not considered correctly for the computation of the overage in the Global performance dashboard.
  • ✅ Now, the system reports (negative) overage for the kits that are involved in past dispensing but are not present in any production.
• Jobs related to the scheduled import of IRT extracts were failing because trials did not have IRT credentials configured in their IRT connection view.
  • ✅ The system now limits the possibility of scheduling an import if the IRT credentials are not set.
• After closing some sites, the Supply App could still consider closed sites as open during the simulation, leading to an under-recruitment for some of the site groups.
• A error screen could appear after reevaluating a plan where the Treatment setup had invalid values, caused by the system taking into account non-numeric values for computations.
  • ✅ An error is now displayed, informing you about this situation, so you can edit the fields that are causing invalid proportions (see image below).

• When a decision was recalled and retaken for a result, the past productions were counted twice in the Global performance dashboard. This was affecting the waste metrics of the decision.