The "Elevate" by MAPS Podcast

This is the "Elevate" podcast by the Medical Affairs Professional Society (MAPS). MAPS is the premier non-profit global Medical Affairs organization FOR Medical Affairs professionals BY Medical Affairs professionals across all different levels of experience/specialty. Together with over 15,000+ Medical Affairs members from 280+ companies globally, MAPS is transforming the Medical Affairs profession to increase its value to patients, HCPs, industry and society. JOIN THE MOVEMENT!

The "Elevate" by MAPS Podcast is a education podcast hosted by Medical Affairs Professional Society, with 234 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Medical Affairs Professional Society hosts The "Elevate" by MAPS Podcast, a education show with 234 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #17

  Medtech Medical Affairs: Proving Strategic Value and Driving Growth

  Jul 13, 202629 minS2026

  Join Dr. Aarathi Cholkeri-Singh, Executive Director & Chief Medical Officer – North America, Karl Storz and Veeva experts for a practical discussion on establishing and scaling a high-impact medtech medical affairs function, even during hiring freezes. We’ll share real-world strategies for navigating EU MDR requirements and building diverse teams that drive clear business value across various organizational structures. Finally, we will share new report findings on the function’s current state to help you quantify your strategic contribution, accelerate enterprise growth, and transition from functional execution to a core leadership pillar.

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  Episode #16

  SciTech & AI Series: Smarter Summaries, Better Decisions: AI Across Medical Affairs

  Jun 9, 20269 minS2026

  Welcome to Episode 4 of the SciTech Critical Evaluation of Literature and AI Series: “Smarter Summaries, Better Decisions: AI Across Medical Affairs" Medical Affairs teams handle a flood of scientific data, so how can AI help turn complexity into clarity? Join experts from the MAPS Scientific & Technical Knowledge Domain to discover how AI tools evaluate evidence for diverse functions, from field teams to HEOR and publications. In this session, you’ll learn practical strategies for creating concise, decision-ready summaries and explore why context and clinical relevance must guide every AI-driven workflow. If you want to leverage AI to evaluate evidence, podcast is for you! Learning Objectives: Describe how AI tools adapt evidence evaluation for different Medical Affairs functions Explore how field medical, medical communications, publications, medical information, and HEOR teams can prompt the same data set differently to generate outputs tailored to their specific needs. Demonstrate strategies to create concise, decision-ready summaries using AI Learn practical prompting and structuring techniques that convert complex scientific literature into clear, stakeholder-specific deliverables that support better strategic and scientific decisions. Explain why context and applicability are essential in AI-enabled evidence workflows Understand how role-specific context, intended use, and decision impact must guide both the prompting and interpretation of AI-generated outputs. Hear more from the Scientific & Technical Knowledge Domain through their position paper: "Safeguarding Scientific Rigor in the Critical Evaluation of Literature"

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  Episode #15

  SciTech & AI Series: Humans + AI: Making Sense of Scientific Papers at Scale

  Jun 2, 202610 minS2026

  Welcome to Episode 3 of the SciTech Critical Evaluation of Literature and AI Series: “Humans + AI: Making Sense of Scientific Papers at Scale" AI can read hundreds of scientific papers in minutes, but can it truly understand them? Join experts from the MAPS Scientific & Technical Knowledge Domain to explore how artificial intelligence is reshaping literature review in Medical Affairs. In this session, you’ll learn what AI can and cannot do with scientific content, uncover practical applications of leading tools like CoPilot and Notebook LM. We’ll also tackle common risks such as hallucinations and lack of context, and share strategies to validate AI outputs while keeping clinical judgment front and center. If you want to harness AI without losing the human touch, this webinar is for you! Learning Objectives: Understand what AI can—and cannot—do with scientific literature Explain how AI processes papers using NLP and LLMs, and why clinical judgment remains essential. Explore practical applications of leading AI tools Review the capabilities, pros, and cons of tools like CoPilot and Notebook LM for Medical Affairs workflows. Recognize limitations and risks in AI-driven literature review Identify common issues such as hallucinations, lack of context, and strategies to validate AI outputs. Hear more from the Scientific & Technical Knowledge Domain through their position paper: "Safeguarding Scientific Rigor in the Critical Evaluation of Literature"

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  Episode #14

  SciTech & AI Series: Literature Never Sleeps: Staying Ahead Without Burning Out

  May 26, 202611 minS2026

  Welcome to Episode 2 of the SciTech Critical Evaluation of Literature and AI Series: “Literature Never Sleeps: Staying Ahead Without Burning Out" Literature never sleeps and neither do the challenges of keeping Medical Affairs teams up to date. Join experts from the MAPS Scientific & Technical Knowledge Domain to discover practical strategies for managing the deluge of data. We’ll explore how AI can accelerate evidence synthesis while highlighting its limitations and the critical role of human judgment. If you’re looking for smarter ways to stay current, this podcast is for you! Learning Objectives: Identify key challenges in keeping Medical Affairs teams current Understand the impact of preprints, grey literature, bibliometrics, and predatory journals on evidence appraisal. Evaluate the role and limitations of AI in literature review Recognize how AI can accelerate evidence evaluation while appreciating the need for human judgment and safeguards against errors. Apply best practices for confidentiality and critical assessment of AI outputs Learn practical steps to ensure secure data handling and train teams to validate AI-generated insights effectively. Hear more from the Scientific & Technical Knowledge Domain through their position paper: "Safeguarding Scientific Rigor in the Critical Evaluation of Literature"

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  Episode #13

  SciTech & AI Series: Evidence Unlocked: Separating Gold from Gravel

  May 20, 202610 minS2026

  Welcome to Episode 1 of the SciTech Critical Evaluation of Literature and AI Series: “Evidence Unlocked: Separating Gold from Gravel" Not all evidence is created equal, so how do you separate gold from gravel? Join experts from the MAPS Scientific & Technical Knowledge Domain for a fast-paced session designed to simplify critical appraisal for busy professionals. In just a few minutes, you’ll learn how to navigate the hierarchy of evidence and apply practical frameworks. We’ll also share a step-by-step approach for rapid evaluation, helping you assess robustness, and clinical relevance without getting lost in complexity. If you want to make smarter, faster evidence-based decisions, this podcast is for you! Learning Objectives: Understand the hierarchy of evidence Explain the differences between randomized controlled trials (RCTs), observational studies, real-world data, and preprints, and why they matter for evidence quality. Recognize key frameworks for critical appraisal Introduce GRADE, PRISMA, and CONSORT as practical tools for evaluating robustness, reproducibility, and clinical relevance. Apply a rapid evaluation approach Provide a simple, step-by-step method for quickly assessing scientific literature without compromising rigor. Hear more from the Scientific & Technical Knowledge Domain through their position paper: "Safeguarding Scientific Rigor in the Critical Evaluation of Literature"

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