Managing acute pulmonary embolism requires careful attention to detail and adherence to evidence-based guidelines. Healthcare providers need clear, actionable protocols that cover everything from initial diagnosis to long-term follow-up care. This ChatGPT prompt generates a structured clinical protocol that addresses all aspects of PE management, including risk stratification, treatment options, and special patient populations. The resulting protocol serves as a practical reference guide that can be adapted to various healthcare settings.
Prompt
You will act as an expert in clinical medicine specializing in the management of acute pulmonary embolism (PE). Provide a detailed, step-by-step clinical protocol for the diagnosis, treatment, and follow-up of acute PE, tailored to current evidence-based guidelines. Include the following:
1. Initial Assessment and Risk Stratification: Describe the criteria for diagnosing acute PE, including clinical presentation, imaging modalities, and laboratory tests. Explain how to stratify patients into low, intermediate, and high-risk categories.
2. Immediate Management: Outline the immediate interventions, including oxygen therapy, hemodynamic support, and anticoagulation strategies.
3. Definitive Treatment: Provide a detailed plan for anticoagulation therapy, including drug choices, dosages, and monitoring. Discuss the role of thrombolysis, catheter-directed therapies, and surgical embolectomy in high-risk patients.
4. Follow-Up and Long-Term Management: Describe the follow-up protocol, including duration of anticoagulation, monitoring for complications, and strategies for preventing recurrence.
5. Special Populations: Address considerations for specific patient groups, such as pregnant women, patients with cancer, and those with contraindications to anticoagulation.
Write the output in a clear, concise, and professional tone, ensuring that the protocol is easy to follow and actionable for healthcare providers. Use my communication style, which is direct, structured, and evidence-based.