ChatGPT for Healthcare Training in Copenhagen, Denmark

The ChatGPT for Healthcare Training is a practical, role-based program designed to help healthcare professionals, administrators, and support staff use ChatGPT to improve documentation, communication, education, and operational efficiency, while maintaining patient safety, data privacy, and regulatory compliance.

The course focuses on responsible use of AI to support clinical documentation, patient communication, reporting, training, and administrative workflows, without replacing clinical judgment.

Introduction to AI & ChatGPT in Healthcare

• Role of AI in modern healthcare

• Appropriate vs inappropriate use of ChatGPT

• Benefits and risks in clinical environments

• Human oversight and patient safety

Getting Started with ChatGPT for Healthcare Staff

• ChatGPT basics for healthcare users

• Common healthcare use cases

• Understanding accuracy and hallucinations

• Best practices for healthcare settings

Clinical Documentation Support (Non-Diagnostic)

• Drafting clinical notes (templates)

• Discharge summaries (drafting support)

• Referral letters and summaries

• Improving clarity and consistency

Patient Communication & Education

• Drafting patient-friendly explanations

• Appointment instructions and reminders

• Consent and information sheets (drafting)

• Health education material support

Medical Report & Record Summarization

• Summarizing long medical reports

• Extracting key points for clinicians

• Creating handover summaries

• Reducing documentation burden

Administrative & Operational Workflows

• Scheduling and coordination support

• Internal memos and communications

• Policy and SOP documentation

• Office productivity improvement

Training & Staff Education Content

• Creating training materials

• Onboarding guides

• Clinical protocol summaries (non-authoritative)

• Continuous education support

Research & Literature Support (Non-Clinical)

• Summarizing medical articles

• Explaining research findings (high-level)

• Creating literature review outlines

• Supporting evidence-based discussions

Quality, Safety & Audit Documentation

• Supporting audit documentation

• Incident report drafts

• Quality improvement narratives

• Compliance-related documentation

Multilingual & Accessibility Support

• Translating patient instructions (draft)

• Simplifying medical language

• Supporting diverse patient populations

• Accessibility-focused communication

Security, Privacy & Regulatory Compliance

• Handling protected health information (PHI)

• What must NOT be shared with AI tools

• Data protection and local regulations

• Organizational AI governance policies

Ethics, Transparency & Responsible AI

• Bias and fairness in healthcare AI

• Transparency with patients and staff

• Maintaining trust in AI-assisted workflows

• Ethical boundaries for AI usage

Risk Management & Misuse Prevention

• Preventing over-reliance on AI

• Detecting incorrect or unsafe outputs

• Escalation and review procedures

• Incident response related to AI use

Hands-on Exercises

Summary and Conclusion