AI Prompt Generation Guide For Clinicians
Learn how to use AI with confidence and precision.
Innovation Program
AI in Practice
Artificial intelligence (AI) and digital technology advances have emerged as catalysts for changing how we diagnose, treat and manage patients. The following collection of AI resources has been curated to support ACC members in understanding and applying AI in the digital transformation of care delivery.
Guides
AI in Health Care Tools
Key Assessment Criteria Tool
Assess the readiness of AI systems with this practical framework for reviewing key aspects of AI solutions, including privacy, clinical workflow, system integration and bias mitigation.
AI Capabilities and Clinical Scenarios Tool
Review key considerations for implementing AI solutions and measuring success.
Explore the Care Transformation Initiative hub for additional resources and insights on best practices in care delivery and implementation. Access the Foundational Document offering novel operational architectures tailored to: clinical objectives, patient populations and non-clinical drivers of health.
AI in Health Care: Key Assessment
- Define objectives, use case, and stakeholders.
- Assess current capabilities: data assets and infrastructure.
- Assess the impact on budget and resource allocation.
- Select the appropriate AI solutions and reliable partners.
- Conduct a small user group to test the solution.
- Address ethical and regulatory considerations.
- Offer stakeholder training and education.
- Perform ongoing monitoring and evaluation.
Guidelines
JACC Journals on ACC.org
- JACC
- JACC: Advances
- JACC: Asia
- JACC: Basic to Translational Science
- JACC: CardioOncology
- JACC: Cardiovascular Imaging
- JACC: Cardiovascular Interventions
- JACC: Case Reports
- JACC: Clinical Electrophysiology
- JACC: Heart Failure
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