Earn CEs toward your certification renewal with these expert-led clinical and advocacy deep-dives.
This course uncovers hidden algorithmic biases in clinical software that lead to false-negative osteoporosis diagnoses. Learners will explore the intersection of medical physics and health equity by deconstructing the "Size Artifact" in DEXA imaging and ethical flaws in the FRAX algorithm. Using a unique "Advocate-in-the-Loop" methodology, you will actively employ Generative AI to analyze clinical data and synthesize robust appeal arguments while maintaining accuracy. This program has been approved by the Patient Advocate Certification Board (PACB) to provide 2.0 Board Certified Patient Advocate (BCPA) CEs (including Ethics).
This course deconstructs the failure of spectrophotometric calibration in high-melanin skin, where reduced signal-to-noise ratios artificially inflate SpO2 readings and mask critical desaturation. We examine the statistical reality of "occult hypoxemia," where hardware bias causes clinicians to dismiss hypoxic Black patients because the device falsely reports a "safe" 94% saturation. Using a unique "Advocate-in-the-Loop" methodology, you will actively employ Generative AI to understand potential clinical mismatches to ensure quality care for their clients.
Essential knowledge to build AI literacy and prepare for the future. No CEs attached.
This crash course equips advocates with the "Big Three" free engines (ChatGPT, Claude, Perplexity), moving beyond casual chat to structural Prompt Engineering (Context, Persona, Constraint). We establish a strict "Sanitize-First" workflow to navigate HIPAA minefields—ensuring no PII ever touches a public server—and teach the "Trust but Verify" audit to catch the inevitable hallucinations. The curriculum demands a shift in mindset: viewing AI not as an oracle, but as a high-speed, unreliable research assistant that requires precise instruction and constant supervision..
This module moves beyond basic Q&A to treat AI as a "Tone Synthesizer," enabling you to generate a quarter’s worth of social media content and patient newsletters that mimic your specific voice rather than sounding like a generic corporate bot. We expand the toolkit to include "Jargon Stripping"—using AI to instantly translate dense medical studies into 6th-grade reading level handouts for clients—and "Adversarial Roleplay," where you simulate arguments with insurance adjusters to refine your negotiation points. The focus is on Scale: taking your singular expertise and multiplying it across marketing, client education, and correspondence without diluting your message.
This advanced tier abandons the chat interface to build permanent infrastructure, using AI to write Google Apps Scripts that automate your intake forms, spreadsheets, and email triggers without you needing to know a single line of code. We exploit "multimodal" tools like NotebookLM to transmute dry clinical guidelines into engaging "Audio Overviews" (podcasts) for clients and automatically generate slide decks that visualize complex care plans. The challenge here shifts from "prompting" to "systems thinking," requiring you to audit the logic of the automation to ensure your new digital assembly line doesn't simply scale an error faster.