Clinical Documentation and Ambient AI
Ambient scribes, structured note generation and coding support that fit into the existing clinical workflow.
Ship AI in healthcare without breaking the rules that matter.
Logiciel helps hospitals, payers and health-tech companies move AI from pilot to production. Clinical copilots, claims automation, prior auth, medical document understanding and patient experience use cases, built with HIPAA, HITRUST and clinical safety in mind.
Healthcare has more failed AI pilots than any other industry. The reasons repeat.
We give clinical and operational teams an AI system they can run inside a regulated environment.
We work across the high-value AI use cases in healthcare. The right pattern depends on the workflow.
Ambient scribes, structured note generation and coding support that fit into the existing clinical workflow.
Extraction and summarisation of clinical notes, discharge summaries, lab reports and pathology documents.
Document understanding, rules-based and ML-based decisioning, and integration with payer and clearinghouse systems.
Triage assistants, patient portals, appointment management and post-discharge follow-up workflows.
Predictive models for readmission, high-cost patients, chronic care and risk-adjustment workflows.
Retrieval architectures over clinical guidelines, formularies, protocols and internal medical knowledge.
A long-running team of AI engineers, clinical informaticists, data engineers and MLOps specialists embedded in your product or operations team.
Senior AI architects who reinforce your in-house healthcare AI team during specific build or evaluation phases.
Fixed-scope engagements for a defined use case, for example an ambient scribe pilot, a prior auth assistant or a population health model.
Use case selection, clinical safety review, regulatory shaping and a phased roadmap with clear ROI.
Bedrock, OpenAI and open-weights model implementations for documentation, summarisation, extraction and conversational use cases.
Retrieval pipelines over clinical guidelines, formularies and internal medical content with grounded generation.
FHIR, HL7, X12 and clearinghouse integration for Epic, Cerner, Athenahealth, Veradigm and payer systems.
CI/CD for models and prompts, evaluation harnesses, drift detection, model registry and audit-ready logging.
HIPAA, HITRUST, SOC 2 and clinical safety alignment, including bias review, red teaming and incident response.
Patterns from our delivery teams that have run through real healthcare deployments.
Clinical AI Evaluation Framework
A practical approach to evaluating AI systems against clinical and operational tasks, including human-in-the-loop scoring and bias review.
Healthcare AI Governance Pattern
A reference for clinical safety, compliance, audit and ongoing monitoring of AI systems in healthcare.
We map the workflow, the user, the failure modes, the data and the regulatory shape before any model work begins.
We design the system, agree on the model strategy, define data handling and align with compliance and clinical safety.
We build the system in code, with evaluations running against representative clinical and operational tasks.
We pilot in a controlled clinical or operational setting with human-in-the-loop, monitoring and a feedback loop.
We move into production with observability, on-call, ongoing evaluation and a path to widen use across sites or product lines.
Ready to deliver AI Implementation for Healthcare on a schedule your business can plan around? Partner with Logiciel to design, build and operate AI Implementation for Healthcare that engineering, security and business teams can all defend.
We cover strategy, architecture, build, deployment and operations for AI Implementation for Healthcare, aligned with your business priorities and operating constraints.
Most engagements reach a working pilot within 4-8 weeks, while larger rollouts run across phased waves over several months.
Yes. We integrate with cloud platforms, CRMs, ERPs, EHR, OT systems, analytics tools and other operational infrastructure depending on the use case.
Yes. We offer milestone-based pricing once scope, KPIs and delivery requirements are agreed.
You retain ownership of all workflows, integrations, prompts, infrastructure, systems and implementation assets.
We implement governance frameworks, observability, access controls, audit trails and compliance-aligned deployment practices.
We tune infrastructure, automate resource management, optimise deployment workflows and report operational cost back to teams and product lines.
Yes. We run managed operations with SRE, observability, on-call and continuous improvement.