Chart summarization
Condense a long record into a clinician-ready synopsis with citations.
Generative AI for Healthcare
Generative AI for healthcare, grounded in your clinical data
We build retrieval-augmented (RAG) systems over clinical data — summaries, drafting, and Q&A grounded in the actual record, with PHI guardrails, citations back to source, and human review on anything clinical.
HIPAA-ReadyGrounded RAGCited OutputHuman Review
Trusted by global innovators
Generative AI that's grounded, not hallucinated
The healthcare value of generative AI is real — summarizing a long chart, drafting a patient-friendly discharge note, answering 'what's this patient's cardiac history?' in seconds. The risk is equally real: a model that confidently invents a medication or a lab value is worse than no model at all. The difference is grounding.
We build retrieval-augmented generation (RAG) over your clinical data: the model answers only from retrieved, permissioned source documents, cites the spans it used, and abstains when the record doesn't support an answer. Every generation runs behind PHI guardrails and, for anything clinical, a human-in-the-loop review step. That's the line between a demo and a system you can deploy.
What it is
Generative AI, constrained to the record
Generative AI for healthcare uses large language models to summarize, draft, and answer questions — but constrained by retrieval so the output is grounded in your actual clinical data rather than the model's training set.
The engineering that matters is retrieval quality, PHI guardrails, citation, abstention, and human review. We build all of it, and we measure faithfulness rather than trusting a good demo.
A reference architecture for clinical generative AI
Retrieval, PHI guardrails, grounded generation with citations, and a review layer — assembled so you can defend every output to compliance and to clinicians.
What we build into a clinical GenAI system
Each capability pairs a generative feature with the guardrail that makes it safe to ship.
Retrieval-Augmented Generation (RAG)
Answers are grounded in retrieved clinical documents via a vector store and hybrid search over FHIR resources and notes, so the model draws from the real record instead of its training data.
Clinical Summarization & Drafting
Chart summaries, visit recaps, referral letters, and patient-friendly instructions — each generation carries citations back to the source span so a clinician can verify before signing.
PHI Guardrails & Access Control
Prompt and output filtering, per-user data scoping, de-identification where full PHI isn't needed, and BAA-covered model hosting so no PHI leaks into a public endpoint.
Grounding, Citations & Abstention
The system cites the exact documents it used and abstains when retrieval doesn't support an answer — hallucination is engineered against, not hoped away.
FHIR-Aware Retrieval
Retrieval spans structured FHIR R4 resources and unstructured notes, so a summary reflects both the coded record and the narrative — not one at the expense of the other.
Evaluation & Human-in-the-Loop
Faithfulness, groundedness, and safety are evaluated against curated test sets, and clinical output routes through review before it reaches a chart or a patient.
Where it runs
Generative AI use cases
Ambient note drafting
Draft structured notes for clinician review and sign-off.
Patient communication
Plain-language discharge and instruction drafts at the right reading level.
Prior-auth support
Assemble and draft supporting documentation from the record.
Clinical Q&A
Answer questions about a patient grounded in their own data.
Coding & documentation assist
Suggest codes and surface documentation gaps for review.
Where generative AI pays off in healthcare
Grounded summarization and drafting save clinician time — but only when hallucination is engineered against and a human stays in the loop.
0
PHI sent to non-BAA public endpoints
100%
clinical generations carry source citations
Review-gated
output before it reaches a chart or patient
Compliance-First Healthcare App Development Services Backed by Global Standards
15-Minute Scoping Call01
HIPAA
Health Insurance Portability and Accountability Act
Protect PHI with privacy-first architecture, encrypted storage and transmission, strict access controls, and traceable audit logs.
02
GDPR
General Data Protection Regulation
Implement lawful consent flows, data minimization, retention controls, and secure processing for sensitive health data.
03
FHIR
Fast Healthcare Interoperability Resources
Enable standardized health data exchange across apps, care teams, and systems through robust FHIR-ready APIs.
04
HL7
Health Level Seven International
Support enterprise-grade interoperability with HL7-based integrations for records, events, and clinical messaging workflows.
05
HITRUST
Health Information Trust Alliance
Align security programs to healthcare-specific control and risk management practices trusted by providers and ecosystem partners.
06
HITECH
Health Information Technology for Economic and Clinical Health Act
Design with breach notification readiness, digital record safeguards, and operational controls that support regulated care programs.
07
SaMD
FDA Software as a Medical Device
Plan software quality, traceability, and documentation pathways for products that may require SaMD review and submission.
08
MDR (EU)
Medical Device Regulation (European Union)
Prepare EU market-ready processes for risk classification, evidence tracking, and lifecycle governance under MDR expectations.
09
SAMHSA
Substance Abuse and Mental Health Services Administration
Apply confidentiality controls and consent-aware sharing models for behavioral and mental health data experiences.
Standards we build against
Standards and controls in our GenAI stack
FHIRHIPAAHITECHSOC 2SNOMED
Our Process
From promising demo to deployable system
We treat evaluation and guardrails as the hard part of clinical GenAI — because they are.
1.
Use-Case & Risk Framing
We pick a use case with clear value and bounded risk, define what 'correct' means, and decide where a human must stay in the loop.
Risk-framed
2.
Retrieval & Grounding Build
We build the RAG pipeline over your clinical data — chunking, embeddings, hybrid retrieval, and citation tracking across FHIR resources and notes.
Grounded RAG
3.
Guardrails & Evaluation
PHI filtering, abstention behavior, and a faithfulness/groundedness eval harness so quality and safety are measured against real test cases.
Measured safety
4.
Deploy with Review
Human-in-the-loop review for clinical output, BAA-covered hosting, and monitoring for drift, cost, and hallucination signals in production.
Audit-ready
Featured case study
Read Case StudyLera Health: compliant women's health platform
Lera Health demonstrates our approach to turning clinical inputs into trustworthy, personalized output within a privacy-first data layer — the same foundation that makes generative AI safe to deploy in a regulated setting.
Why Partner With Us
15-Minute Scoping CallGenerative AI you can put in front of clinicians
We build for grounding, safety, and audit — the properties that separate a healthcare GenAI product from a risky demo.
Guardrails-First
PHI filtering, grounding, and abstention are designed in from the first prototype, not patched after a bad output.
Grounded, Not Generic
RAG over your real clinical data with citations, so answers reflect the patient in front of you — not the internet.
Human-in-the-Loop by Design
Clinical output routes through review, and we build the workflow that makes that fast rather than a bottleneck.
Clinical-Domain Depth
We understand where generative AI helps and where it must never be trusted unattended.
Our relevant experience
Generative AI that survives a compliance review
Frequently Asked Questions
We use retrieval-augmented generation so the model answers only from retrieved source documents, cites the spans used, and makes the system abstain when the record doesn't support an answer. We then evaluate faithfulness against a curated test set. Hallucination is engineered against and measured, not left to chance.
Ready to deploy generative AI you can defend?
Tell us the workflow you want to accelerate. We'll return a grounded, guardrailed design with an evaluation plan and a human-in-the-loop approach.
contact@agnotic.com
Partnerships
contact@agnotic.com