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Article Screening
AI powered screening, save assessments according to your workflow in fully auditable workflow
In this page, all details of the citation are presented in order for users to complete their assessment. Here, users can:
- Record their screening decisions according to the desired workflow (Individual Case Safety Reports, Signal detection, etc)
- Upload supporting documentation as attachments: full text articles, translations.
- Enter adverse reaction information for case processing, and export as an E2B file
- Review all decisions recorded by users in chronological order in the Audit Log
- Article decisions for ICSR, aggregate reporting and signal detection.
The Main tab in the displays citation details: title, abstract and keywords, and a side bar with navigation, highlighting and input fields for recording decisions:
Article Screening Page
Tip: To make more room for abstracts at the screening page try collapsing the left menus. See the navigation help page for tips on how to do that.
Use the arrows to navigate to previous/next articles according to the criteria selected in the Review Details screen.
Click the filter icon to see a summary of chosen sort and filter options in use. (recall that selected tab, filters and sort options "follow" the user to the detail screen)
MLM-AI automatically annotates the abstract for patient information, special situations, medications, etc. You can toggle highlights on/off for these annotations to help screen abstracts quicker.
The highlighter toolbox
- Any identifiable patients immediately found in the abstract can be found with the patient highlighter:
Identifiable patients may also be found in the full text of the article (but not the abstract) depending on the type of study. The suspected case AI tag is used to predict such occurrences. See more details in MLM-AI Concepts
- Sections of interest relate to passages in the abstract where adverse events descriptions are likely to be discussed
- The Target highlighter indicates the target product, while the Medications highlighter indicates all other medications mentioned in the abstract.
- The special situation highlighter will indicate any occurrence of terms related to pregnancy, elderly or pediatric uses, occupational exposure, drug misuse, etc:
When screening is done, add results and click Submit. The decision pane provides a number of options to suit your workflow:
- The Serious Event, Aggregate Reporting and Safety Signal checkboxes to mark articles of interest for later reporting
- Select one or more special situations relevant to the abstract
- Select one or more categories (exclusions)
- When the review decision is "Not ICSR - Exclusion Required", selecting at least one category is mandatory
- You can optionally add free text commenting on your decision
The decisions list and values for categories and special situations are configurable. Learn more in the Monitor Configuration section.
When saving screening decisions, users can type into the drop down to narrow the available options:
Selecting Next Article on Submit using the settings toolbox will automatically move to the next article to screen after saving a decision.
- A green lock means the article has been locked by the user and editing is allowed
- A red lock means the article is locked by another user, editing the article is not allowed.
After a configured number of seconds, users will see a prompt warning the lock on the page is about to expire. This ensures articles don't remain locked indefinitely:
Users can modify the annotations presented by MLM-AI and save their changes. This information can be used in later stages of case management.
The highlighter toolbox on the right-side menu allows users to add and remove annotations as needed:
- Select the "editor" tool and select text with the mouse anywhere in the abstract to display the annotations pop-up
- Select the "eraser" tool and select any highlighter to remove it
The Data tab summarizes captured terms by category.
- Removing a term from this page will remove all the annotations for that term
- Clicking the Reset button restores the original annotations captured by MLM-AI
Any changes will be saved together with the article decision when user clicks the Submit button.
Users can review full articles by uploading the full text PDF format to the review using the Attachments tab. Only PDF files that are under 10mb in size are currently supported.
After uploading the system will need some time to process and render the full text the progress and status of this can be monitored from the Attachments tab.
Once complete the article will be viewable by clicking the green eye icon
Full text viewing using green eye
or by navigating to the Main tab and switching subtab to the full text that you recently uploaded.
Full text viewing using Main tab and attachment subtab(s)
From this view some relevant annotations and highlights are provided to assist users to review the article.
Additional information about the article such as authors, journal and publication date are available from the "Details" tab. This tab will also provide external links to the article and full text (if freely available).
From this screen articles can be shared out to an approved (to add to this list please contact your system administrator) list of recipients using the button highlighted below:
All decisions saved by users or automatically generated by MLM-AI will be timestamped and recorded in the article's audit log ("Audit Log" tab):
Audit Log tab in Abstract detail
Use the Attachments tab to upload any content relevant to the screening process, such as full text PDFs purchased, or translations.
When screening for cases, it may be useful to also record specific adverse reactions identified in the article. Reaction data can be directly exported as an E2B XML file, for processing in a safety database.
- In the E2B tab you can create one or more patients corresponding to cases from the article by clicking "Add Patient"
- Each patient can be populated with verbatim information describing the event
- MLM-AI will suggest terms for patient, medication and events, based on highlights from the abstract text
- MLM-AI will auto-populate reporter as the article's main author
Reactions are exported into the "E2B" export format only for articles with a confirmed ICSR decision (See also Custom Workflows).
Once data is saved, an E2B R2 XML file can be generated directly from the download icon in the article page:
Last modified 4mo ago