CORA.
Clinical Observation & Risk Analyser
What does the data reveal that human review alone may miss?
CORA is the Clinical Investigation Division's operational clinical analysis capability, developed to identify patterns, anomalies and relationships across complex clinical information.
It supports the identification of clinical risk signals, behavioural patterns, documentation inconsistencies and decision-making weaknesses that may be difficult to recognise through conventional record review.
What CORA is
Clinical failure leaves traces.
In the data.In the language.In the timing.
CORA is designed to find them — at a depth and scale that manual review alone cannot consistently achieve.
It extends the analytical capabilities of CID by processing clinical records, event data and documentation at scale — identifying patterns, relationships and artefacts that inform and accelerate structured clinical assessment. CORA supports FIRST-PASS, PASS+, CASE and systems-level patient safety analysis.
CORA is an operational capability used within CID's clinical assessment and investigation processes. Its analytical methods are refined through practical application, evidence review and continuing methodological development.
- Not a diagnostic system
- Does not replace clinical judgement
Four analytical capabilities
Beyond individual observations.
Complex Pattern Recognition
CORA identifies relationships across clinical observations, events, decisions and outcomes that may not be apparent when records are considered individually.
It supports the recognition of recurring failure sequences, combinations of clinical risk signals and relationships between apparently unrelated events.
Linguistic Artefact Identification
Clinical documentation can contain important signals of uncertainty, omission, minimisation, contradiction and retrospective interpretation. CORA examines clinical language and narrative structure to identify patterns that warrant further investigation.
A linguistic indicator is not itself evidence of misconduct or inappropriate care. Its significance must be assessed against the contemporaneous clinical record and surrounding circumstances.
Latent Behavioural Signal Detection
Clinical behaviours can leave recognisable traces in records and operational processes. CORA examines patterns associated with escalation delays, repeated decision sequences, documentation changes, handover anomalies and inconsistencies between clinical evidence and recorded actions.
These signals can help investigators identify where deeper examination of clinical conduct or system behaviour may be warranted.
A behavioural indicator is not itself a finding about an individual's conduct. Its significance is assessed in the context of the clinical circumstances and the system in which care was delivered.
Comparative Pattern Analysis & Learning
CORA supports the development and refinement of analytical patterns through the examination of clinical cases, known adverse-event mechanisms and relevant clinical evidence.
As the analytical library grows, previously identified failure patterns can inform the examination of new cases — using de-identified information only, while maintaining evidence traceability and human verification.
How CORA operates
From fragmented records to connected evidence.
CORA functions as an analytical capability supporting CID's investigative and patient safety methodologies. Its work can be understood in four stages.
Data Ingestion & Structuring
Clinical information is organised into structured, analysable material, preserving relevant chronology, source attribution and relationships between records.
Adverse-Event Trigger Screening
Structured screening identifies clinical indicators and event patterns that may warrant further examination, including modified Global Trigger Tool methods where applicable.
Signal & Integrity Analysis
CORA examines relationships between observations, decisions, documentation, timing, escalation and outcomes — informing FIRST-PASS, PASS+ and CASE assessments.
Human-Validated Findings
Outputs are examined against primary evidence and assessed for accuracy, significance, uncertainty and consistency before being incorporated into investigative conclusions.
CORA supports the analysis. Investigators remain responsible for the findings.
Data handling
Clinical information, handled with care.
Clinical records are among the most sensitive information an organisation holds. CORA's analysis is governed accordingly.
Engagement-specific use
Clinical records provided for an engagement are used only for the purposes of that engagement, with access limited to those undertaking the work.
Privacy obligations
Patient information is handled in strict confidence and confidentiality. Patient data is not sent to any third party.
De-identified learning
Only de-identified information and statistical data are used to develop and refine CORA's analytical library.
Anonymised analysis
Insight without identification.
CORA can also work with anonymised information, enabling organisations to examine patterns of clinical risk without disclosing patient or clinician identities.
- 01Anonymised record-set assessment. Analysis of de-identified clinical record sets to identify recurring risk signals, adverse-event patterns and documentation weaknesses across a service, unit or cohort.
- 02Anonymised peer-review methods. Design and support of structured peer-review processes in which cases are examined on the evidence, without identifying the patients or clinicians involved.
What makes CORA different
Built for clinical integrity — not generic AI deployment.
Purpose-built analytical methods
CORA is designed around the investigative questions and failure patterns that arise in clinical safety and governance work.
Evidence before conclusions
Analytical indicators are treated as matters for assessment, not as established clinical findings.
Continual refinement
Analytical capabilities are improved through practical use, methodological evaluation and review against available evidence.
Part of a wider investigative system
One analytical capability. Three institutional functions.
Identify
CORA helps reveal candidate adverse-event signals, unusual clinical patterns, documentation inconsistencies and emerging risk indicators.
Explore Identify → 02Investigate
CORA supports clinical reconstruction, CASE assessments, analysis of decision-making and examination of how risk propagates through care settings.
Explore Investigate → 03Prevent
CORA can support the identification of recurring patterns and the analysis of clinical information to inform safer processes, stronger controls and improved governance.
Explore Prevent →The patterns are there.
CORA finds them.
Independent analytical capability supporting the identification, investigation and prevention of adverse clinical events.
Clinical Investigation Division — Princeton Lee Partners