See the evidence landscape—and the decisions it leaves unresolved
看清证据全景，也看清仍待解决的决策问题
Filter by study type, treatment class, population and outcome to bring analyses into the specific decision context
Structured views of study distribution, interventions and evidence characteristics within a field or topic
Coverage of evidence across the PICO framework, including study types and where conclusions converge
Highlights gap signals—absolute data gaps, conflicting or inconclusive findings, and favourable or unfavourable conclusions
Evidence Mapping is an evidence synthesis tool that brings together evidence related to a field or topic around its characteristics and conclusions, using visualisation to highlight where conclusions converge—and where they are missing. It is structured around the PICO framework
Click any figure to enlarge. The Evidence Mapping bubble plot, matrix views and filters shown here are implemented capabilities; expanded dashboard charts are configured only for selected pilot projects and are clearly labelled Pilot
Shows the treatment landscape, intervention distribution and where evidence conclusions converge
Highlights three gap signals: absolute data gaps, conflicting or inconclusive findings, and favourable and unfavourable conclusions
Filter by study type, treatment class, population and outcome to locate evidence quickly
Richer charts configured for selected pilot projects and available only within those engagements
Complete SOPs for information security, publication compliance and pharmacovigilance, covering data classification, retention and audit trails
Each evidence map and synthesis output is delivered in versions with documented changes and rationale; versions can be compared to show exactly what changed and why
Access is managed per project; team members only see materials their engagement requires, and client-confidential data is handled in segregation
Every evidence integration and gap assessment passes expert review at defined quality gates. Processes are traceable, methodological boundaries are declared explicitly, and independent verification is built in
AI assists with screening, extraction drafting and surveillance alerts—but never replaces expert judgment on decisions. We declare clearly where AI is used, what it can and cannot conclude, and keep a human-in-the-loop at every critical step
Digital views make the evidence landscape, coverage and critical gaps visible at a glance—so methodological outputs actually enter the team's discussions and decisions
View the Evidence Mapping demo, or discuss a digital evidence project and book a demo
