KoGen - Knowledge Graph Ecosystem; KGNN

The KoGen Knowledge Graph Ecosystem would transform traditional, siloed audit logs into an auditable, semantic network, allowing AMN to answer those critical compliance and security questions instantly and with full context.

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Here is a breakdown of how the knowledge graph structure addresses each question:

1. Who accessed which piece of Nurse or Patient data (PHI).

The knowledge graph models the audit trail itself as a connected network of nodes and edges, creating a clear chain of custody for every data access event.

Component	Node/Relationship in KoGen KG	Example Semantic Query
The User	(User) node with attributes like role (Recruiter, Auditor), department, and ID.	MATCH (u:User)-[a:ACCESSED_PHI]->(p:PatientRecord {ID: '1234'})
The Action	(Access_Event) node or an Edge (ACCESSED_PHI) with properties like timestamp, action_type (Read, Write, Delete), and system_accessed.	...WHERE a.timestamp > '2025-01-01'
The Data (PHI)	(Nurse_Profile) or (Patient_Record) node. For granular tracking, the attributes of these nodes (e.g., Nurse_License_Number, Patient_Allergies) could be individual nodes, with a (Data_Element) node representing the specific piece of PHI.	...RETURN u.role, a.action_type, p.attribute
The Justification	Edge (JUSTIFIED_BY) linking the (Access_Event) to a (Job_Assignment) node or a (Compliance_Audit) node. This enforces the HIPAA "Minimum Necessary Standard".	MATCH (a:Access_Event)-[:JUSTIFIED_BY]->(j:Job_Assignment)

KoGen Benefit: It allows AMN to immediately confirm if an access event was legitimate by tracing it back to an active assignment or an authorized business function, making anomaly detection instant.

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2. When a compliance check was performed.

Compliance itself is modeled as a process and a set of verifiable outcomes within the graph.

Component	Node/Relationship in KoGen KG	Example Semantic Query
The Check	(Compliance_Check) node with properties like check_type (License_Verify, HIPAA_Training_Audit), and status (Pass/Fail).	MATCH (c:Compliance_Check {check_type: 'License_Verify'})
The Time	A property on the (Compliance_Check) node: check_timestamp.	...WHERE c.check_timestamp < '2025-10-01'
The Subject	Edge (PERFORMED_ON) linking the (Compliance_Check) to the (Nurse) node and the (Assignment) node.	MATCH (c)-[:PERFORMED_ON]->(n:Nurse)
The Result	Edge (RESULTED_IN) linking the (Compliance_Check) to a (Signed_Document) node (e.g., a BAA or a training certificate).	MATCH (c)-[:RESULTED_IN]->(d:Document)

KoGen Benefit: The system provides a single, unified view for auditors. They don't have to check a database for the nurse's data and a document management system for the certificate; they run one query that verifies the check, the time, and the proof-of-completion document link.

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3. Which specific regulation applies to a given nurse-hospital assignment.

This leverages the knowledge graph's unique ability to represent abstract rules and legal concepts.

Component	Node/Relationship in KoGen KG	Example Semantic Query
The Assignment	(Assignment) node linked to a (Nurse) and a (Hospital) node.	MATCH (a:Assignment {ID: 'A123'})
The Regulation	(Regulation) node with attributes like ID (e.g., 45 CFR § 164.308), jurisdiction (CA, NY, Federal), and rule_text.	MATCH (r:Regulation)
The Requirement	(Requirement) node with details like max_hours_per_week or min_training_level.	MATCH (r)-[:DEFINES_REQUIREMENT]->(req:Requirement)
The Linkage	Edge (REQUIRES_COMPLIANCE_WITH) linking the (Assignment) to the relevant (Regulation) and (Requirement) based on the hospital's state, specialty, and data access needs.	MATCH (a)-[:REQUIRES_COMPLIANCE_WITH]->(r) RETURN r

KoGen Benefit: The graph uses reasoning to automatically infer the correct regulations. If the assignment is in Texas (a property of the Hospital node) and involves ePHI (a property of the Assignment node), the system follows the relationships to instantly identify both the Federal HIPAA rules and any Texas state-specific medical privacy rules, providing complete, context-aware compliance guidance.