Open-source Deep Research
Open-source Deep Research for Healthcare
Gather cited public context for health technology, policy, and research questions.
01
Citations for careful review
Healthcare research needs source traceability and conservative interpretation. AutoSearch returns cited findings so teams can verify claims, distinguish public context from clinical guidance, and route sensitive conclusions through qualified review.
02
Broad public source coverage
Health technology questions span papers, GitHub projects, policy discussion, product communities, and patient-facing platforms. AutoSearch can collect public evidence across 40 channels to support background research and ecosystem mapping.
03
Governed systems stay in control
AutoSearch should not handle diagnosis or patient-specific advice. It supports public source discovery while teams keep protected health information, compliance checks, and final clinical interpretation inside approved systems and human review.
How it fits
AutoSearch sits outside protected clinical systems as an MCP-native public research companion. Teams can use it for health technology scans, policy background, academic monitoring, and market context across 40 channels. The agent receives cited material and can organize it for review, but clinical interpretation, patient data handling, and regulated decisions remain in the healthcare organization's governed workflow.
Try this prompt
Research recent public discussion of AI medical scribe evaluation.
Use papers, policy sources, product discussions, and GitHub projects with citations.