AI-Assisted Patient Safety Surveillance Course

Name: AI-Assisted Patient Safety Surveillance Course
Availability: InStock

Turn safety-event evidence, clinical risk signals, human factors, validation, escalation, ethical safeguards, and monitoring into a patient-safety improvement plan.

At a glance

Duration: 5 days
Format: Classroom
Cities: Vienna, Frankfurt, Bali, Barcelona, Athens, Amman and more
Next session: 12 – 16 October 2026, Vienna
Average fee: 5,800 €

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AI-Assisted Patient Safety Surveillance Course

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Overview

AI-Assisted Patient Safety Surveillance Course is a five-day foundation course for patient-safety leaders, healthcare quality teams, clinical governance professionals, nursing and medical managers, risk teams, and health-data professionals, who leave with an AI-Assisted Patient Safety Surveillance and Improvement Plan. Participants structure safety-event evidence, assess incident and alert signals, address human factors, design validation and escalation, govern risks, and monitor improvement. Agile Leaders Training Center provides training in AI-assisted patient safety surveillance.

Who Should Attend

Patient-safety teams responsible for surveillance and improvement
Healthcare quality teams responsible for incident learning and controls
Clinical governance teams responsible for oversight and accountability
Nursing and medical managers responsible for safe care workflows
Risk teams responsible for hazards, escalation, and assurance
Health-data teams responsible for safety evidence and monitoring

The course assumes participants contribute to patient safety, healthcare quality, clinical governance, care management, risk, or health-data decisions and leaves out clinical diagnosis instruction, treatment recommendations, coding, model development, and vendor-product administration.

Departments and Industries

The course supports governed AI-assisted patient-safety surveillance across healthcare environments.

Patient safety and healthcare quality functions
Clinical governance and enterprise-risk teams
Nursing, medical, pharmacy, and care-management units
Hospitals, clinics, and ambulatory-care providers
Diagnostic, rehabilitation, and long-term-care services
Health-data, digital-health, and internal-audit teams

Learning Objectives

By the end of this course, participants will be able to:

Analyze patient-safety events and surveillance evidence
Evaluate deterioration, medication, and workflow signals
Design human review, validation, and escalation controls
Apply ethics, fairness, privacy, and accountability safeguards
Build alert and improvement monitoring measures
Create a patient-safety surveillance and improvement plan

Course Agenda

Day 1: Safety Evidence and Context

Patient-Safety Event and Harm Classification Map
Incident, Near-Miss, and Learning Evidence Register
Care Workflow and Decision Point Canvas
Data Source, Provenance, and Limitation Checklist
AI Safety-Surveillance Use-Case Framing Template

Day 2: Signals and Human Factors

Deterioration and Clinical Risk Signal Inventory
Medication Safety and Interaction Alert Matrix
Diagnostic and Care-Process Hazard Review Sheet
Alert Burden, Fatigue, and Prioritization Scorecard
Human Factors and Workflow Fit Assessment

Day 3: Validation and Escalation

Safety Signal Sensitivity and Specificity Review
False-Alert and Missed-Event Impact Matrix
Clinical Review and Human Judgment Decision Table
Escalation, Response, and Recovery Workflow
Local Validation and Deployment Readiness Plan

Day 4: Ethics and Improvement Governance

WHO AI for Health Ethics Principle Checklist
NIST AI RMF Patient-Safety Risk Canvas
Bias, Equity, Privacy, and Access Control Register
Safety Incident, Change, and Accountability Log
Patient-Safety Surveillance and Improvement Dashboard

Day 5: Patient-Safety Practice

Suggested Exercise: Structure Incident and Near-Miss Evidence
Suggested Exercise: Assess Safety Signals and Alert Fatigue
Suggested Exercise: Design Validation and Clinical Escalation
Suggested Exercise: Define Ethical and Improvement Controls
Capstone Exercise: AI-Assisted Patient Safety Surveillance and Improvement Plan

Practical Exercises

The course uses suggested activities that turn patient-safety evidence into governed surveillance and improvement decisions.

Suggested activity: classify events, map workflows, inventory data, document limitations, and frame surveillance uses
Suggested activity: examine deterioration, medication, diagnostic, and workflow signals with alert-fatigue evidence
Suggested activity: review signal performance, compare harms, define human judgment, escalation, and local validation
Suggested activity: set ethical safeguards, accountability, incident controls, measures, and improvement reviews

FAQs

Who suits AI patient-safety surveillance training?

AI patient-safety surveillance training suits safety, quality, clinical governance, nursing, medical management, risk, pharmacy, and health-data teams. It assumes patient-safety decision experience and does not teach diagnosis or treatment.

How does AI patient-safety surveillance differ from clinical diagnosis training?

Patient-safety surveillance focuses on incident evidence, risk signals, alerts, workflow hazards, validation, escalation, governance, and improvement. Clinical diagnosis training focuses on assessing individual patient conditions and selecting clinical investigations or treatments.

How should healthcare teams validate AI patient-safety alerts?

Teams should test data provenance, local population fit, signal performance, missed-event and false-alert impacts, workflow integration, human review, escalation, equity, privacy, drift, incident response, and change controls before relying on alerts.

How can teams reduce alert fatigue in AI-assisted safety surveillance?

Teams can review alert value, priority, timing, duplication, actionability, recipient, workload, overrides, escalation, missed events, and outcomes, then adjust thresholds and workflows through governed review.

What belongs in an AI-Assisted Patient Safety Surveillance and Improvement Plan?

The plan includes safety events, data sources, use cases, signals, alert priorities, validation, human review, escalation, ethical safeguards, owners, incidents, measures, monitoring, changes, and improvement decisions.

Conclusion

Participants take back an AI-Assisted Patient Safety Surveillance and Improvement Plan connecting safety evidence, signals, human factors, validation, escalation, ethics, and learning. The plan makes limitations, clinical review, accountability, incident response, monitoring, and improvement decisions visible across healthcare teams. It supports repeatable surveillance while retaining professional judgment and patient-safety responsibility.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 61-76 of 76 events

Location	Dates	Duration	Mode	Price
Paris	Week 30, 2027 26 – 30 July 2027	5 Days	Onsite	€5,700
Vienna	Week 31, 2027 2 – 6 August 2027	5 Days	Onsite	€5,700
Nice	Week 31, 2027 2 – 6 August 2027	5 Days	Onsite	€5,700
Zanzibar	Week 31, 2027 8 – 12 August 2027	5 Days	Onsite	€5,500
Dubai	Week 32, 2027 9 – 13 August 2027	5 Days	Onsite	€4,500
Phuket	Week 32, 2027 15 – 19 August 2027	5 Days	Onsite	€6,000
Chicago	Week 33, 2027 22 – 26 August 2027	5 Days	Onsite	€12,000
Zoom	Week 35, 2027 30 August – 3 September 2027	5 Days	Online	€1,500
Madrid	Week 35, 2027 30 August – 3 September 2027	5 Days	Onsite	€5,700
Milan	Week 36, 2027 6 – 10 September 2027	5 Days	Onsite	€5,700
Abu Dhabi	Week 37, 2027 13 – 17 September 2027	5 Days	Onsite	€4,700
New York	Week 38, 2027 20 – 24 September 2027	5 Days	Onsite	€12,000
San Diego	Week 39, 2027 27 September – 1 October 2027	5 Days	Onsite	€14,000
London	Week 40, 2027 4 – 8 October 2027	5 Days	Onsite	€5,700
Montreux	Week 40, 2027 4 – 8 October 2027	5 Days	Onsite	€7,500
Cairo	Week 41, 2027 11 – 15 October 2027	5 Days	Onsite	€4,100

Frequently asked questions

What does this course cover?

OverviewAI-Assisted Patient Safety Surveillance Course is a five-day foundation course for patient-safety leaders, healthcare quality teams, clinical governance professionals, nursing and medical managers, risk teams, and health-data professionals, who leave with an AI-Assisted Patient Safety Surveillance and Improvement Plan. Participants structure safet…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

AI-Assisted Patient Safety Surveillance Course