#CommunityAMA Benefits of Giving Silent Members a Reason to Join In 1. *Increased Engagement*: Encouraging silent members to participate can increase overall engagement and participation in online communities or discussions. 4. *Enhanced Community*: Encouraging silent members to participate can help build a stronger, more vibrant community, where all members feel valued and included. Improved Collaboration*: By encouraging silent members to participate, organizations can foster a more collaborative and inclusive environment. 3. *Better Decision-Making*: Encouraging silent members to participate can lead to more informed decision-making, as a wider range of perspectives and ideas are considered.

#CommunityAMA Benefits of Giving Silent Members a Reason to Join In 1. *Increased Engagement*: Encouraging silent members to participate can increase overall engagement and participation in online communities or discussions. 4. *Enhanced Community*: Encouraging silent members to participate can help build a stronger, more vibrant community, where all members feel valued and included. Improved Collaboration*: By encouraging silent members to participate, organizations can foster a more collaborative and inclusive environment. 3. *Better Decision-Making*: Encouraging silent members to participate can lead to more informed decision-making, as a wider range of perspectives and ideas are considered.

#CommunityAMA Who Can Participate? Participant Eligibility Medical Students For HSS, ethics, telehealth, and equity modules Residents & Fellows For CME, HSS, equity, and wellness certifications Practicing Physicians For CME, leadership, telehealth, equity, and ethics certification Healthcare Administrators In leadership, equity, and systems science programs Educators and Faculty In curriculum development and AMA Ed Hub leadership tracks

#CommunityAMA Who Can Participate? Participant Eligibility Medical Students For HSS, ethics, telehealth, and equity modules Residents & Fellows For CME, HSS, equity, and wellness certifications Practicing Physicians For CME, leadership, telehealth, equity, and ethics certification Healthcare Administrators In leadership, equity, and systems science programs Educators and Faculty In curriculum development and AMA Ed Hub leadership tracks

#CommunityAMA Improved Collaboration*: By encouraging silent members to participate, organizations can foster a more collaborative and inclusive environment. 3. *Better Decision-Making*: Encouraging silent members to participate can lead to more informed decision-making, as a wider range of perspectives and ideas are considered.

#CommunityAMA Improved Collaboration*: By encouraging silent members to participate, organizations can foster a more collaborative and inclusive environment. 3. *Better Decision-Making*: Encouraging silent members to participate can lead to more informed decision-making, as a wider range of perspectives and ideas are considered.

#CommunityAMA Better Decision-Making*: Encouraging silent members to participate can lead to more informed decision-making, as a wider range of perspectives and ideas are considered. 4. *Enhanced Community*: Encouraging silent members to participate can help build a stronger, more vibrant community, where all members feel valued and included.

#CommunityAMA Better Decision-Making*: Encouraging silent members to participate can lead to more informed decision-making, as a wider range of perspectives and ideas are considered. 4. *Enhanced Community*: Encouraging silent members to participate can help build a stronger, more vibrant community, where all members feel valued and included.

#CommunityAMA Ethics and Professionalism Certification Grounded in the AMA Code of Medical Ethics, these modules certify knowledge in: • Medical decision-making • Informed consent • End-of-life care • Physician responsibilities • Ethical research conduct ➡️ Outcome: Certificate validating ethics training, often required for clinical governance or research roles.

#CommunityAMA Ethics and Professionalism Certification Grounded in the AMA Code of Medical Ethics, these modules certify knowledge in: • Medical decision-making • Informed consent • End-of-life care • Physician responsibilities • Ethical research conduct ➡️ Outcome: Certificate validating ethics training, often required for clinical governance or research roles.

#CommunityAMA Health Equity and DEI (Diversity, Equity, and Inclusion) Certification Offered through AMA Ed Hub and AMA’s Center for Health Equity, these programs help clinicians: • Recognize and address implicit bias • Promote anti-racism practices • Understand structural determinants of health • Provide equitable care to diverse populations ➡️ Outcome: Certificate of completion; often includes CME credit.

#CommunityAMA Health Equity and DEI (Diversity, Equity, and Inclusion) Certification Offered through AMA Ed Hub and AMA’s Center for Health Equity, these programs help clinicians: • Recognize and address implicit bias • Promote anti-racism practices • Understand structural determinants of health • Provide equitable care to diverse populations ➡️ Outcome: Certificate of completion; often includes CME credit.

#CommunityAMA Health and Telehealth Certifications As part of modernizing medical practice, AMA offers or supports certifications related to: • Telemedicine practice • Remote patient monitoring • Digital diagnostics • EHR integration Examples: • Telehealth Implementation Playbook: AMA resource supporting structured training • Certificates or badges available from AMA Ed Hub and external partners ➡️ Outcome: Certificate validating proficiency in digital and virtual care delivery.

#CommunityAMA Health and Telehealth Certifications As part of modernizing medical practice, AMA offers or supports certifications related to: • Telemedicine practice • Remote patient monitoring • Digital diagnostics • EHR integration Examples: • Telehealth Implementation Playbook: AMA resource supporting structured training • Certificates or badges available from AMA Ed Hub and external partners ➡️ Outcome: Certificate validating proficiency in digital and virtual care delivery.

#CommunityAMA Certification (MOC) by specialty boards • Available through: • AMA Ed Hub • AMA webinars, modules, and events • Partner organizations (e.g., JAMA Network, Stanford Medicine) ➡️ Outcome: Documentation of CME credits, sometimes with a transcript or digital certificate.

#CommunityAMA Certification (MOC) by specialty boards • Available through: • AMA Ed Hub • AMA webinars, modules, and events • Partner organizations (e.g., JAMA Network, Stanford Medicine) ➡️ Outcome: Documentation of CME credits, sometimes with a transcript or digital certificate.

#CommunityAMA Conclusion:* Silent members often just need a *little invitation, a safe space, and a nudge*. When you meet them where they are and show that all contributions—big or small—matter, they’re far more likely to step in and stay engaged.Benefits of Activating Silent Members:* - Builds a *more diverse range of voices* - Strengthens *belonging and inclusion* - Improves the *quality and reach of discussions* - Creates *networking and learning opportunities* - Increases *community sustainability and health*

#CommunityAMA Conclusion:* Silent members often just need a *little invitation, a safe space, and a nudge*. When you meet them where they are and show that all contributions—big or small—matter, they’re far more likely to step in and stay engaged.Benefits of Activating Silent Members:* - Builds a *more diverse range of voices* - Strengthens *belonging and inclusion* - Improves the *quality and reach of discussions* - Creates *networking and learning opportunities* - Increases *community sustainability and health*

#CommunityAMA Types of AMA Certification Programs Here are the major categories: ⸻ 1. CME Certification (AMA PRA Category 1 Credits™) While not a “certification” in the licensing sense, physicians earn AMA Physician’s Recognition Award (PRA) Category 1 Credits™ through accredited continuing education programs. • Used to fulfill licensing, credentialing, and re-certification requirements • Required for Maintenance of

#CommunityAMA Types of AMA Certification Programs Here are the major categories: ⸻ 1. CME Certification (AMA PRA Category 1 Credits™) While not a “certification” in the licensing sense, physicians earn AMA Physician’s Recognition Award (PRA) Category 1 Credits™ through accredited continuing education programs. • Used to fulfill licensing, credentialing, and re-certification requirements • Required for Maintenance of

#CommunityAMA Benefits of Activating Silent Members:* - Builds a *more diverse range of voices* - Strengthens *belonging and inclusion* - Improves the *quality and reach of discussions* - Creates *networking and learning opportunities* - Increases *community sustainability and health* Benefits of Activating Silent Members:* - Builds a *more diverse range of voices* - Strengthens *belonging and inclusion* - Improves the *quality and reach of discussions* - Creates *networking and learning opportunities* - Increases *community sustainability and health*

#CommunityAMA Benefits of Activating Silent Members:* - Builds a *more diverse range of voices* - Strengthens *belonging and inclusion* - Improves the *quality and reach of discussions* - Creates *networking and learning opportunities* - Increases *community sustainability and health* Benefits of Activating Silent Members:* - Builds a *more diverse range of voices* - Strengthens *belonging and inclusion* - Improves the *quality and reach of discussions* - Creates *networking and learning opportunities* - Increases *community sustainability and health*

#CommunityAMA Create a “First Post” Thread* - Encourage intros, fun facts, or sharing a recent win - Pin it, highlight replies, and keep it judgment-free Acknowledge Lurkers Publicly* - Say things like: “Even if you just read quietly, we’re glad you’re here—but we’d love to hear your thoughts when you’re ready.”

#CommunityAMA Create a “First Post” Thread* - Encourage intros, fun facts, or sharing a recent win - Pin it, highlight replies, and keep it judgment-free Acknowledge Lurkers Publicly* - Say things like: “Even if you just read quietly, we’re glad you’re here—but we’d love to hear your thoughts when you’re ready.”

#CommunityAMA . AI for Trader Accountability Tracking **Impact**: AI tracks trader accountability by monitoring adherence to strategies, risk limits, and performance goals. - **Advantages**: - Discipline: Encourages adherence to trading plans. - Feedback: Provides insights on accountability lapses. - Automation: Tracks metrics in real-time. - **Disadvantages**: - Privacy: Requires sensitive trading data. - Resistance: Traders may dislike constant monitoring. - Complexity: Accountability systems are intricate. - **Recommendations**: - Use anonymized data for accountability tracking. - Provide user-friendly feedback interfaces. - Combine AI tracking with personal goal reviews. - **Conclusion**: AI promotes trader accountability but must balance monitoring with privacy and trader autonomy.

#CommunityAMA . AI for Trader Accountability Tracking **Impact**: AI tracks trader accountability by monitoring adherence to strategies, risk limits, and performance goals. - **Advantages**: - Discipline: Encourages adherence to trading plans. - Feedback: Provides insights on accountability lapses. - Automation: Tracks metrics in real-time. - **Disadvantages**: - Privacy: Requires sensitive trading data. - Resistance: Traders may dislike constant monitoring. - Complexity: Accountability systems are intricate. - **Recommendations**: - Use anonymized data for accountability tracking. - Provide user-friendly feedback interfaces. - Combine AI tracking with personal goal reviews. - **Conclusion**: AI promotes trader accountability but must balance monitoring with privacy and trader autonomy.

#CommunityAMA AI in Market Volatility Clustering **Impact**: AI clusters periods of high and low volatility to inform strategy timing and risk management. - **Advantages**: - Strategic: Optimizes trades for volatility clusters. - Predictive: Anticipates volatility patterns. - Automation: Adjusts strategies based on clusters. - **Disadvantages**: - Unpredictability: Volatility can defy clustering models. - Complexity: Requires advanced clustering algorithms. - Data dependency: Needs comprehensive volatility data. - **Recommendations**: - Test clustering models in diverse market conditions. - Combine volatility clusters with economic calendars. - Use clusters for risk management adjustments. - **Conclusion**: AI-driven volatility clustering enhances strategy timing but must account for unpredictable shifts.

#CommunityAMA AI in Market Volatility Clustering **Impact**: AI clusters periods of high and low volatility to inform strategy timing and risk management. - **Advantages**: - Strategic: Optimizes trades for volatility clusters. - Predictive: Anticipates volatility patterns. - Automation: Adjusts strategies based on clusters. - **Disadvantages**: - Unpredictability: Volatility can defy clustering models. - Complexity: Requires advanced clustering algorithms. - Data dependency: Needs comprehensive volatility data. - **Recommendations**: - Test clustering models in diverse market conditions. - Combine volatility clusters with economic calendars. - Use clusters for risk management adjustments. - **Conclusion**: AI-driven volatility clustering enhances strategy timing but must account for unpredictable shifts.

#CommunityAMA AI for Trader Community Strategy Sharing **Impact**: AI facilitates strategy sharing in trader communities by recommending and ranking user-generated strategies. - **Advantages**: - Collaboration: Encourages knowledge sharing among traders. - Insight: Identifies high-performing community strategies. - Accessibility: Makes strategies available to novices. - **Disadvantages**: - Quality: Community strategies may be untested or risky. - Privacy: Sharing data raises ethical concerns. - Bias: May favor popular over effective strategies. - **Recommendations**: - Validate community strategies with AI backtesting. - Ensure privacy compliance in strategy sharing. - Filter recommendations for proven strategies. - **Conclusion**: AI enhances strategy sharing but requires validation and ethical data handling.

#CommunityAMA AI for Trader Community Strategy Sharing **Impact**: AI facilitates strategy sharing in trader communities by recommending and ranking user-generated strategies. - **Advantages**: - Collaboration: Encourages knowledge sharing among traders. - Insight: Identifies high-performing community strategies. - Accessibility: Makes strategies available to novices. - **Disadvantages**: - Quality: Community strategies may be untested or risky. - Privacy: Sharing data raises ethical concerns. - Bias: May favor popular over effective strategies. - **Recommendations**: - Validate community strategies with AI backtesting. - Ensure privacy compliance in strategy sharing. - Filter recommendations for proven strategies. - **Conclusion**: AI enhances strategy sharing but requires validation and ethical data handling.

#CommunityAMA AI in Trade Signal Validation **Impact**: AI validates trade signals by cross-referencing multiple data sources (e.g., technical, fundamental, sentiment). - **Advantages**: - Accuracy: Reduces false signals with multi-source validation. - Efficiency: Processes validation quickly. - Confidence: Enhances trader trust in signals. - **Disadvantages**: - Complexity: Requires integration of diverse data. - Data dependency: Relies on reliable data feeds. - Cost: Validation systems are resource-intensive. - **Recommendations**: - Use high-quality data for signal validation. - Test validation algorithms in live markets. - Combine AI with manual signal checks. - **Conclusion**: AI improves signal validation for reliability but depends on robust data and testing.

#CommunityAMA AI in Trade Signal Validation **Impact**: AI validates trade signals by cross-referencing multiple data sources (e.g., technical, fundamental, sentiment). - **Advantages**: - Accuracy: Reduces false signals with multi-source validation. - Efficiency: Processes validation quickly. - Confidence: Enhances trader trust in signals. - **Disadvantages**: - Complexity: Requires integration of diverse data. - Data dependency: Relies on reliable data feeds. - Cost: Validation systems are resource-intensive. - **Recommendations**: - Use high-quality data for signal validation. - Test validation algorithms in live markets. - Combine AI with manual signal checks. - **Conclusion**: AI improves signal validation for reliability but depends on robust data and testing.

#CommunityAMA AI for Trader Risk Appetite Adjustment **Impact**: AI adjusts trading strategies based on real-time changes in a trader’s risk appetite. - **Advantages**: - Personalization: Aligns strategies with risk preferences. - Adaptability: Updates strategies as risk appetite shifts. - Automation: Reduces manual risk adjustments. - **Disadvantages**: - Privacy: Requires sensitive trader data. - Errors: Misjudging risk appetite can lead to losses. - Complexity: Dynamic adjustments are challenging. - **Recommendations**: - Securely handle risk appetite data. - Validate AI adjustments with trader feedback. - Test risk-based strategies in demo accounts. - **Conclusion**: AI optimizes risk appetite adjustments but must ensure data security and accuracy.

#CommunityAMA AI for Trader Risk Appetite Adjustment **Impact**: AI adjusts trading strategies based on real-time changes in a trader’s risk appetite. - **Advantages**: - Personalization: Aligns strategies with risk preferences. - Adaptability: Updates strategies as risk appetite shifts. - Automation: Reduces manual risk adjustments. - **Disadvantages**: - Privacy: Requires sensitive trader data. - Errors: Misjudging risk appetite can lead to losses. - Complexity: Dynamic adjustments are challenging. - **Recommendations**: - Securely handle risk appetite data. - Validate AI adjustments with trader feedback. - Test risk-based strategies in demo accounts. - **Conclusion**: AI optimizes risk appetite adjustments but must ensure data security and accuracy.

#CommunityAMA AI in Market Trend Classification **Impact**: AI classifies market trends (e.g., bullish, bearish, ranging) to guide trading strategy selection. - **Advantages**: - Accuracy: Identifies trends with high precision. - Speed: Processes trend data in real-time. - Automation: Aligns strategies with current trends. - **Disadvantages**: - False signals: May misclassify short-term noise as trends. - Complexity: Requires advanced classification models. - Overreliance: Traders may ignore broader market context. - **Recommendations**: - Confirm AI trend signals with multiple indicators. - Test classification models across market conditions. - Combine trend analysis with fundamental insights. - **Conclusion**: AI-driven trend classification enhances strategy alignment but needs validation to avoid false signals.

#CommunityAMA AI in Market Trend Classification **Impact**: AI classifies market trends (e.g., bullish, bearish, ranging) to guide trading strategy selection. - **Advantages**: - Accuracy: Identifies trends with high precision. - Speed: Processes trend data in real-time. - Automation: Aligns strategies with current trends. - **Disadvantages**: - False signals: May misclassify short-term noise as trends. - Complexity: Requires advanced classification models. - Overreliance: Traders may ignore broader market context. - **Recommendations**: - Confirm AI trend signals with multiple indicators. - Test classification models across market conditions. - Combine trend analysis with fundamental insights. - **Conclusion**: AI-driven trend classification enhances strategy alignment but needs validation to avoid false signals.

#CommunityAMA AI for Trade Strategy Scalability **Impact**: AI scales trading strategies to handle larger volumes or multiple accounts without compromising performance. - **Advantages**: - Scalability: Manages high-volume trades efficiently. - Consistency: Maintains strategy performance across accounts. - Automation: Reduces manual scaling efforts. - **Disadvantages**: - Complexity: Scaling requires sophisticated algorithms. - Risk: Large-scale trades amplify losses. - Cost: High computational resources needed. - **Recommendations**: - Test scaled strategies in simulated environments. - Implement strict risk controls for large volumes. - Monitor performance across multiple accounts. - **Conclusion**: AI enables strategy scalability but demands robust risk management and testing.

#CommunityAMA AI for Trade Strategy Scalability **Impact**: AI scales trading strategies to handle larger volumes or multiple accounts without compromising performance. - **Advantages**: - Scalability: Manages high-volume trades efficiently. - Consistency: Maintains strategy performance across accounts. - Automation: Reduces manual scaling efforts. - **Disadvantages**: - Complexity: Scaling requires sophisticated algorithms. - Risk: Large-scale trades amplify losses. - Cost: High computational resources needed. - **Recommendations**: - Test scaled strategies in simulated environments. - Implement strict risk controls for large volumes. - Monitor performance across multiple accounts. - **Conclusion**: AI enables strategy scalability but demands robust risk management and testing.

#CommunityAMA AI in Trader Onboarding Personalization **Impact**: AI personalizes onboarding by recommending strategies, tools, and education based on trader experience and goals. - **Advantages**: - Customization: Tailors onboarding to individual needs. - Efficiency: Speeds up the learning curve for novices. - Engagement: Enhances user experience and retention. - **Disadvantages**: - Data requirements: Needs detailed trader input. - Errors: Mispersonalization can mislead new traders. - Cost: Developing personalized systems is expensive. - **Recommendations**: - Collect accurate trader data ethically. - Test onboarding recommendations in demo environments. - Combine AI with human support for complex cases. - **Conclusion**: AI personalizes onboarding for better engagement but requires accurate data and human backup.

#CommunityAMA AI in Trader Onboarding Personalization **Impact**: AI personalizes onboarding by recommending strategies, tools, and education based on trader experience and goals. - **Advantages**: - Customization: Tailors onboarding to individual needs. - Efficiency: Speeds up the learning curve for novices. - Engagement: Enhances user experience and retention. - **Disadvantages**: - Data requirements: Needs detailed trader input. - Errors: Mispersonalization can mislead new traders. - Cost: Developing personalized systems is expensive. - **Recommendations**: - Collect accurate trader data ethically. - Test onboarding recommendations in demo environments. - Combine AI with human support for complex cases. - **Conclusion**: AI personalizes onboarding for better engagement but requires accurate data and human backup.