OpenEvidence Launches Dotflows to Customize AI Clinical Decision Support
Event summary
- OpenEvidence released Dotflows on April 7, 2026, enabling clinicians to customize AI responses through natural language prompts.
- Dotflows allow clinicians to personalize response styles, pre-define clinical context, and run structured workflows.
- The platform includes a community library where clinicians can share and clone Dotflows.
- Dotflows are available to all verified clinicians on OpenEvidence.
The big picture
OpenEvidence's Dotflows address the longstanding challenge of personalizing clinical decision support tools. While traditional EHRs rely on static dot phrases, Dotflows leverage AI-native customization, aligning with the broader trend of AI-driven workflow automation in healthcare. The move underscores OpenEvidence's strategy to deepen clinician engagement through flexible, adaptive tools.
What we're watching
- Adoption Pace
- How quickly clinicians will integrate Dotflows into their workflows and whether the community library will drive sustained engagement.
- Competitive Differentiation
- Whether Dotflows will solidify OpenEvidence's lead in AI-native clinical decision support against traditional EHRs.
- Scalability
- The pace at which OpenEvidence can scale Dotflows across its user base without compromising performance or accuracy.
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