Turn complex workflows into a streamlined process
GRADEpro is an online software platform that helps teams of clinicians, methodologists, and policymakers develop and share evidence-based guidelines in a clear, structured, and transparent way.
GRADEpro streamlines the entire process, from collecting Conflict of Interest Forms and analyzing research in Interactive Evidence Tables, through guiding panel discussions with the Evidence-to-Decision Framework and capturing input through PanelVoice, to dissemination as traditional documents or digital, interactive formats.
Drafting is simplified with Collaborative Guideline Authoring, ensuring all team members and panel experts work from the same version.
Once recommendations are ready, GRADEpro makes dissemination easy: Guidelines can be exported to journals and professional publications, or published in digital formats using the Visual & Interactive Guideline module, Recommendation Maps, or the AI-powered RecChat assistant.
These tools ensure recommendations are not only developed with rigor but also delivered in ways that are accessible and useful to clinicians, policymakers, and patients.
With features like Offline Mode for uninterrupted work and a central Publication Platform for storing and searching guidelines, GRADEpro helps organizations reduce manual effort, maintain transparency, and maximize the reach and impact of their guidelines.
Features of GRADEpro
Tracking Conflict of Interest manually is time-consuming and error-prone, increasing the risk of poorly managed forms that undermine the credibility and trustworthiness of recommendations. Easily collect and update forms, send reminders, track responses, and manage conflicts in the voting process all within GRADEpro to ensure transparency and accountability.
Forming recommendations from complex research evidence can be difficult and result in inconsistencies, especially when multiple factors and perspectives are involved. The Evidence to Decision Framework was developed by the GRADE working group and helps by structuring panel discussions, guiding judgments step-by-step, and documenting decisions in a systematic way. GRADEpro has implemented this framework within the software to help your development process.
Summarizing research data into different and clear, standardized tables is time-consuming. GRADEpro's Interactive Evidence Tables, including Network Meta-Analysis, help by automatically generating GRADE Evidence Profiles and Summary of Findings tables. Integrating meta-analysis data, calculating certainty, and allowing export in multiple formats enables easy sharing and review.
Coordinating input from multiple panel members can be slow and fragmented when relying on emails or scattered tools. PanelVoice provides a shared workspace where members can contribute, comment, and vote directly on the content, streamlining collaboration and keeping all input organized in one place.
Sending multiple text files back and forth and tracking multiple versions of the guideline manuscript can be overwhelming and tedious. GRADEpro offers a centralised platform that guideline members can access in order to leave their comments or suggest changes to the content, as well as easily integrate recommendations made with other GRADEpro features.
Clinical guidelines are often complex, making it challenging for interest-holders to interpret and apply recommendations effectively. The Visual & Interactive Guidelines Module solves this by turning guidelines into a compact, digital, and interactive format, allowing users to explore outcomes, adjust comparators, incorporate cost data, and view narrative and data presentations"
It is time-consuming trying to find relevant, and reliable guideline information across multiple repositories. RecChat, GRADEpro's AI model, solves this by acting as a specialized search assistant, trained to query a single database of peer-reviewed guidelines, delivering precise, trustworthy answers without hallucinating or generating incorrect information.
Accessing and working on guideline projects can be disrupted by limited or unreliable internet connectivity or the need to travel. Offline Mode solves this by allowing the continuation of work without an internet connection, syncing changes automatically when reconnecting, so work can continue seamlessly anywhere.
Making guidelines easily accessible is no easy feat, especially if they are published across different journals, volumes, and dates. The publication platform can be your dedicated repository of all guidelines, which can be easily accessed, searched, and filtered, including AI assistants, so the users can find relevant information efficiently.
It may be hard for end users to find relevant information when recommendations are scattered across lengthy guidelines, with numerous versions and updates available, often presenting conflicting information. Recommendation Maps help organise recommendations across guidelines on a grid of interventions and populations, so that patients and healthcare providers can easily find recommendations of interest and compare different versions, while researchers are able to determine points of confusion or research priorities.
