Industry
Healthcare
Services
Knowledge Engineering
Virtual Expert
AI Support
Approach
Transforming Health System Operations and Policy Compliance by Implementing an AI Knowledge Layer.
A regional health system implemented Implicit to turn thousands of static policies into a governed, AI-powered knowledge layer that delivers instant, policy-backed answers at the point of care. The result was faster staff access to critical information, reduced compliance risk, and a more consistent application of hospital standards.
A large regional health system manages thousands of hospital policies, protocols, and clinical guidelines that staff rely on to deliver safe, compliant care. Yet their legacy knowledge and policy management system created persistent operational bottlenecks:
The result was wasted time, potential compliance gaps, and inconsistent interpretation of policies across departments.
The health system implemented Implicit as its enterprise-wide knowledge layer for policy management and operational guidance.
Key elements of the deployment included:
Implicit ingested thousands of hospital policies, procedures, and clinical protocols, breaking them into structured segments and mapping them into a knowledge graph of “keywords” and “concepts” (ie: incomplete exams, contrast agent usage, patient refusals).
Staff can now ask natural-language questions (“What contrast agent must be used?”) and instantly receive concise, accurate answers drawn directly from official policy sources. Each answer links back to the exact policy section for validation.
Implicit handles policy manuals, tables, diagrams, and procedural documents, ensuring even the most complex references are accessible.
The platform connects with the health system’s SharePoint repository and policy management tools, ensuring that updates flow seamlessly into Implicit without duplicative uploads.
Every AI-generated answer is tied to source documents, preserving auditability and reducing risk of misinformation.
By embedding Implicit into its operations, the health system achieved measurable improvements in efficiency, compliance, and staff satisfaction:
Staff no longer “hunt and peck” through lengthy PDFs. Answers that once required 10–15 minutes of document searching are now delivered in seconds.
Clinicians and administrators validated that answers consistently aligned with official policy language, building trust in the system.
By eliminating version mismatches across systems, the organization reduced the likelihood of outdated or conflicting guidance being used in care delivery.
With thousands of policies ingested and structured, the system now supports ongoing policy updates, audit readiness, and smoother onboarding of new staff.
The AI delivers answers in a succinct, context-aware format, while still allowing staff to click directly into original policy documents for deeper review, mirroring the simplicity of a Google search paired with the rigor of enterprise governance.
"I'm impressed by Implicit"
"I'm impressed by Implicit, a company that uses Al to help find, target, and summarize information for the Dept. of Defense and do the same for our enterprise data sources (structured and unstructured)."
Ted Danner
/
Senior Director, Circuitry.ai
"Without generating a ton of noise"
"The system can identify entities really only related to our taxonomy...without generating a ton of noise."
Anonymous
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ML & NLP Technical Program Manager
"Better than any results I’ve seen"
"Implicit’s generative AI produces accuracy and precision results that are better than any results I’ve seen to date across a wide swath of intelligence-focused technologies."
Terry Bush
/
General Partner, Wave Data
"Trillions of data points"
"My team owns the taxonomy and relationships for trillions of data points across these different products. So this very much resonates with me."
Anonymous
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Platform Product Manager
"I wish I had found Implicit years ago!"
"I wish I had found Implicit years ago! They are the first company I have evaluated that has true, dynamic Al technology that has been proven in other data-rich sectors."
Jason Payne
/
CEO, JP Strategy
"20-30% of our time chasing support-related issues"
"We spent 20-30% of our time in customer success chasing support-related issues. The value of automating that is significant."
Anonymous
/
VP, Global Customer Success
