The integration story is about fast validation, explicit data boundaries, and fitting into the systems perioperative teams already trust.
Built for the systems you ✦ already use.
Checksalus is designed to live inside existing perioperative workflows with FHIR-first chart access, monitored-signal ingestion, and clear boundaries around what the platform reads, writes, and exports.
FHIR-first connections into the perioperative chart.
Data fields
Demographics, medications, labs, allergies, surgical history, problem list
Permission model
Read-first workflow with tightly scoped configuration for surfaced outputs
Typical go-live target of 2 to 4 weeks from BAA execution when stakeholders and data access are aligned.
Data fields
Demographics, medications, labs, allergies, surgical history, perioperative context
Permission model
Read-first workflow with documented field mapping and validation review
Configuration is aligned to the same perioperative data model used across hospital deployments.
Signal ingestion for real-time perioperative context.
Data fields
Vital sign stream, monitored physiologic values, alerting context
Permission model
Read-only streaming path into monitored-signal interpretation
Latency target below 500ms for perioperative monitoring workflows.
Data fields
Full vital sign set and time-based physiologic signal context
Permission model
Read-only monitored feed with documented uptime expectations
Designed for early deviation review rather than replacing bedside monitoring systems.
Genomic inputs that can actually reach perioperative care.
Data fields
CYP450 variants and perioperative pharmacogenomic flags
Permission model
Structured import into decision-support enrichment layer
Supports VCF and FHIR Genomics-style normalization pathways.
Data fields
Panel result parsing and variant interpretation inputs
Permission model
Structured import with partner-specific mapping review
Used when perioperative genomic activation is part of the deployment scope.
Storage and export patterns built for clinical and research review.
Data fields
Longitudinal perioperative record storage and normalized clinical context
Permission model
HIPAA-eligible managed infrastructure with governed access pathways
Supports clinical workflow continuity and audit-friendly architecture review.
Data fields
Research-ready normalized datasets for validation and multi-site analysis
Permission model
Export-oriented pathway for approved analytics and study workflows
Used when organizations need structured outcomes review beyond operational dashboards.
Data boundaries and deployment expectations before kickoff.
- Chart ingestion starts from a read-first posture so teams can review exactly what data is being used.
- Any surfaced outputs or write-back behavior are scoped deliberately with stakeholder review rather than assumed.
- Audit logging, field validation, and workflow signoff are part of pilot setup instead of post-launch cleanup.
- Deployment prerequisites are shared early so informatics, security, and clinical owners know what is needed before the clock starts.
The current integration conversation usually starts here.
These are the systems and categories most often requested when perioperative teams evaluate a pilot or broader rollout.
Implementation details prepared for procurement review.
Checksalus supports hospital-style security and legal review with clear documentation around data path, auditability, and phased deployment expectations.
Most integration reviews become a scoped pilot, not a months-long mystery.
- Week 1: stakeholder alignment, workflow scoping, and security packet review
- Week 2: data-access validation and perioperative field mapping
- Week 3-4: sandbox review, workflow confirmation, and pilot launch readiness