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Contains 1 Product(s)
A guided, interactive program designed to help new managers strengthen their leadership, communication, and coaching skills.
Welcome to the Leadership Essentials Learning Path — a guided journey for new and emerging managers.
This course is designed to help you build the confidence, communication skills, and practical tools needed to lead with impact. Through short videos, interactive activities, and peer discussions, you’ll explore how to connect with your team, run effective meetings, and coach for growth.
You’ll move through each product step-by-step — from orientation to application — and finish with a digital certificate celebrating your completion.
Learning Objectives:
By the end of this program, you will be able to:-
Communicate clearly and confidently as a leader.
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Conduct productive one-on-one meetings that inspire trust and accountability.
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Apply simple coaching techniques to motivate and develop your team.
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Reflect on your personal leadership style and set goals for continued growth.
Estimated Time to Complete: 2–3 hours (self-paced)
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- Non-member - $300
- Faculty Member - Free!
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Contains 2 Product(s)
This session will focus on recent advancements in oncology research and treatment strategies, covering topics such as targeted therapies, immunotherapy, and precision medicine. Leading experts in the field will present their findings and discuss the clinical implications for cancer patients.
Moderator: David Johnson, PhD – Physician, Massachusetts General Hospital
Chair: Samantha Hayes, PhD – Associate Professor, Cornell University
Learning Objectives:- Understand the latest developments and breakthroughs in oncology research, including emerging treatment modalities, novel therapeutic targets, and advancements in precision medicine.
- Explore the implications of recent oncology advances on clinical practice, patient outcomes, and quality of life, with a focus on personalized treatment approaches, survivorship care, and the integration of supportive services.
- Acquire practical knowledge and skills to enhance multidisciplinary collaboration and evidence-based decision-making in oncology care, fostering a comprehensive and patient-centered approach to cancer management.
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- Non-member - Free!
- *Further discounts may apply once you log in.
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Contains 4 Component(s), Includes Credits
Credit: 1 AMA PRA Category 1 Credit™ Review current antibiotic resistance trends and practical frameworks for outpatient and inpatient stewardship.
The COVID-19 pandemic dramatically reshaped antimicrobial prescribing practices, highlighting both the challenges and opportunities in antibiotic stewardship. This course examines how COVID-era data and clinical behaviors have influenced resistance patterns, diagnostic uncertainty, and outpatient antibiotic use.
Designed for clinicians across specialties, this course provides actionable guidance on implementing effective stewardship strategies in primary care, hospitals, and telehealth environments. It also explores evolving resistance trends, patient education tools, and evidence-based protocols that support more judicious prescribing in a post-pandemic world.
By the end of this course, participants will be able to:
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Describe how the COVID-19 pandemic impacted antibiotic prescribing patterns.
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Identify current antimicrobial resistance trends and drivers of inappropriate antibiotic use.
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Apply evidence-based antibiotic stewardship principles to common outpatient and inpatient scenarios.
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Utilize communication techniques to address patient expectations for antibiotics.
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- Non-member - $100
- *Further discounts may apply once you log in.
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Contains 2 Component(s)
Explore the foundational principles of artificial intelligence in healthcare through this interactive SCORM-based learning module.
Course Overview:
This interactive SCORM module introduces healthcare professionals to the fundamentals of Artificial Intelligence (AI) in clinical settings. From diagnostic support to predictive analytics, you’ll explore real-world examples of how AI is transforming patient care.
Learning Objectives:
- Understand what SCORM is and how it functions within an LMS.
- Identify key applications of AI in clinical workflows.
- Recognize ethical considerations and data privacy concerns.
Course Format:
This is a self-paced, interactive SCORM module that includes multimedia content, click-through activities, and embedded knowledge checks. A short quiz and certificate of completion will be available once the module is completed.
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- Non-member - $29
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Contains 4 Component(s), Includes Credits
Explore the essential principles of delivering safe, effective, and patient-centered care via telemedicine platforms.
Format: On-Demand Video Course | Includes Quiz & Certificate
Estimated Time to Complete: 30 minutes
Credit: 0.5 CME Credits (Optional)Course Description:
As telemedicine continues to evolve, healthcare professionals must be equipped with the foundational knowledge and skills to confidently deliver remote care. This on-demand course introduces best practices for setting up virtual visits, maintaining HIPAA compliance, and ensuring strong patient communication from start to finish.Participants will learn to identify proper workflows, troubleshoot common tech issues, and apply documentation standards aligned with telehealth regulations. Real-world examples and scenarios are included to help contextualize concepts and apply them in everyday clinical practice.
Learning Objectives:
By the end of this course, learners will be able to:-
Define key terms and regulatory requirements related to telehealth
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Identify appropriate patient scenarios for virtual care
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Demonstrate proper setup and communication techniques for remote visits
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Recognize potential limitations and how to address them effectively
$i++ ?>Dr. Cheryl Jones
American Academy of Neurology
Dr. Cheryl Jones is a board-certified neurologist and a Fellow of the American Academy of Neurology (FAAN), with over a decade of experience treating complex headache disorders. She serves as Director of the Integrative Headache Center at Mount Sinai Beth Israel, where she combines evidence-based traditional treatments with personalized, holistic care.
Dr. Khan is a frequent lecturer on lifestyle medicine, mind-body therapies, and the role of complementary treatments in chronic pain. Her clinical research focuses on non-pharmacologic migraine prevention, particularly among underserved populations. She is a contributing author to multiple peer-reviewed articles and the upcoming textbook Integrative Neurology in Practice.
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- Non-member - $29
- *Further discounts may apply once you log in.
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Contains 4 Component(s), Includes Credits
Wednesday, August 14, 2025 | 3–4 PM ET FREE for IMSA Members; $59 for Non-Members You will learn core CPR techniques for adults, children, and infants, with special emphasis on AED use, proper compression depth, and common emergency scenarios. This session includes a live Q&A with instructors and a demonstration of skill verification procedures.
$i++ ?>Emily Collins
PhD
Mayo Clinic
Dr. Emily Collins earned her Ph.D. in Human Factors Engineering from Purdue University before embarking on a distinguished career spanning over two decades at IBM. Throughout her tenure, she held various roles encompassing Human Factors Engineering across hardware and software domains, and delved into people analytics for Diversity in Human Resources. Notably, her contributions garnered several accolades, including the esteemed Emerging Leaders Award from the Society of Women Engineers in 2007. Additionally, Dr. Collins showcased her expertise through numerous publications and secured two patents during her tenure at IBM.
Transitioning to Mayo Clinic five years ago, Dr. Collins assumed the role of Operations Specialist within the CPD division, focusing on the EthosCE product line. Her exceptional performance led to a recent promotion to System Manager within the same domain. At Mayo Clinic, she has been instrumental in enhancing EthosCE, collaborating with teams to implement improvements and ensure compliance with relevant frameworks. Driven by her commitment to nurturing a supportive learning environment, she dedicates time to onboard new CPD staff, offering guidance and hosting open office hours for assistance. Furthermore, she shares valuable insights via daily tips and hints on the EthosCE Yammer board, facilitating staff engagement and efficiency.
Dr. Collins' passion lies in integrating EthosCE seamlessly into the Mayo Clinic ecosystem, fostering a culture of continuous learning and development for both staff and learners alike.
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- Non-member - $29
- *Further discounts may apply once you log in.
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Contains 5 Component(s), Includes Credits
Thursday, September 12, 2025 | 6–7 PM ET FREE for IMSA Members; $59 for Non-Members Discover how emerging advances in genomics and data-driven care are shaping the future of primary care, including case-based applications and ethical considerations.
As precision medicine moves from the lab to the clinic, primary care providers are increasingly expected to interpret and apply genetic data in everyday practice.
This live webinar brings together experts in internal medicine, pharmacogenomics, and patient-centered care to explore:
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Real-world use cases for genetic testing in primary care
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Risk stratification and clinical decision-making tools
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Communication strategies for discussing genetic results with patients
Attendees will gain practical guidance on integrating precision medicine into chronic disease management, preventive care, and population health initiatives.
Includes a live Q&A and downloadable resources.
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- Non-member - $49
- *Further discounts may apply once you log in.
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Contains 5 Component(s), Includes Credits
This live webinar examines the latest findings from NALP’s Class of 2024 Employment Report and uncover the disparities shaping today’s entry-level legal employment market. This member-exclusive webinar takes a data-driven look at how law graduates fared across demographics, geography, and practice settings — and what these trends reveal about the profession’s ongoing challenges and opportunities.
Each year, NALP’s Employment Report and Salary Survey provides the most comprehensive picture of the legal employment market for new law graduates. The Class of 2024 data tell a compelling story — one marked by both progress and persistent disparities in outcomes based on law school size, region, race/ethnicity, and gender.
In this member-exclusive webinar, NALP’s research team will unpack the findings and discuss the implications for career services professionals, legal employers, and policymakers. Participants will gain insight into:
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Employment trends by sector and geography, including shifts in private practice hiring;
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Salary outcomes and the widening pay gaps across key demographic groups;
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Public interest and government placement data, and what these trends suggest about access and equity;
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Actionable strategies to use NALP data in advising, recruiting, and DEI planning.
Speakers:
Members of NALP’s Research Advisory Group and staff from NALP’s Research & Data teamFormat: 60-minute live webinar with Q&A
Audience: NALP members, career services professionals, legal employers, and PD staff
Credit: Eligible for NALP Professional Development Credit$i++ ?>Dr Evelyn Dodge
Professor of Biomedical Data Science
Johns Hopkins University School of Medicine
Dr. Evelyn Dodge is a biomedical data scientist with over 20 years of experience applying machine learning and big data analytics to population health. Her research emphasizes ensuring equity and transparency in AI algorithms used for diagnostics and treatment planning. Dr. Dodge has collaborated with the World Health Organization and national health systems on AI ethics frameworks, and she currently leads a multi-institutional consortium examining bias mitigation strategies in medical AI. A passionate educator, she mentors graduate students and clinicians in responsible innovation, bridging technology and patient-centered care.
- No Relevant Financial Relationships
Dr. Dodge has disclosed no relevant financial relationships with ineligible companies.
Advisory/Consulting Disclosure
Dr. Dodge serves as an unpaid advisor on the World Health Organization’s Artificial Intelligence in Health Ethics panel. She has disclosed no relevant financial relationships with ineligible companies.
$i++ ?>Dr Amy Smith
Associate Professor of Medicine
Department of Internal Medicine, University of California, San Francisco (UCSF)
Dr. Amy Smith is a physician and researcher specializing in clinical informatics and digital health. Her work focuses on integrating artificial intelligence and predictive analytics into electronic health records to support clinical decision-making and improve patient safety. Dr. Smith has led NIH-funded projects on machine learning models for early detection of sepsis and has published extensively on the ethical use of AI in clinical practice. She is a frequent speaker at international conferences on digital health innovation and serves on advisory panels shaping guidelines for responsible AI adoption in healthcare.
- No Relevant Financial Relationships
Dr. Smith has disclosed no relevant financial relationships with ineligible companies.
Research Funding Disclosure
Dr. Smith receives research funding from the National Institutes of Health (NIH) for studies related to clinical decision support. She has disclosed no relevant financial relationships with ineligible companies.
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- Non-member - $50
- Faculty Member - Free!
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Contains 5 Component(s), Includes Credits
This live webinar examines how artificial intelligence and other innovations are transforming infectious disease surveillance, diagnosis, and treatment, with a focus on ensuring safety, equity, and global preparedness.
Description
Infectious diseases remain one of the most pressing challenges for healthcare systems worldwide. Advances in artificial intelligence and digital health tools are creating new opportunities to detect outbreaks earlier, improve diagnostic accuracy, and personalize patient care. Yet these innovations also raise critical questions around data privacy, bias, and the need for equitable access to technology.
Hosted by the International Medical and Scientific Association (IMSC), this session brings together leading clinicians, researchers, and public health experts to:
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Explore AI-driven innovations in infectious disease detection, monitoring, and treatment.
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Examine lessons learned from the COVID-19 pandemic and how technology can strengthen preparedness for future outbreaks.
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Discuss ethical and equity considerations when deploying AI in diverse healthcare settings.
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Provide actionable strategies for integrating new tools into practice without compromising patient trust or safety.
By the end of the webinar, participants will gain a deeper understanding of how infectious disease management is evolving and leave with practical approaches for responsibly implementing technology in their clinical or research practice.
$i++ ?>Dr Evelyn Dodge
Professor of Biomedical Data Science
Johns Hopkins University School of Medicine
Dr. Evelyn Dodge is a biomedical data scientist with over 20 years of experience applying machine learning and big data analytics to population health. Her research emphasizes ensuring equity and transparency in AI algorithms used for diagnostics and treatment planning. Dr. Dodge has collaborated with the World Health Organization and national health systems on AI ethics frameworks, and she currently leads a multi-institutional consortium examining bias mitigation strategies in medical AI. A passionate educator, she mentors graduate students and clinicians in responsible innovation, bridging technology and patient-centered care.
- No Relevant Financial Relationships
Dr. Dodge has disclosed no relevant financial relationships with ineligible companies.
Advisory/Consulting Disclosure
Dr. Dodge serves as an unpaid advisor on the World Health Organization’s Artificial Intelligence in Health Ethics panel. She has disclosed no relevant financial relationships with ineligible companies.
$i++ ?>Dr Amy Smith
Associate Professor of Medicine
Department of Internal Medicine, University of California, San Francisco (UCSF)
Dr. Amy Smith is a physician and researcher specializing in clinical informatics and digital health. Her work focuses on integrating artificial intelligence and predictive analytics into electronic health records to support clinical decision-making and improve patient safety. Dr. Smith has led NIH-funded projects on machine learning models for early detection of sepsis and has published extensively on the ethical use of AI in clinical practice. She is a frequent speaker at international conferences on digital health innovation and serves on advisory panels shaping guidelines for responsible AI adoption in healthcare.
- No Relevant Financial Relationships
Dr. Smith has disclosed no relevant financial relationships with ineligible companies.
Research Funding Disclosure
Dr. Smith receives research funding from the National Institutes of Health (NIH) for studies related to clinical decision support. She has disclosed no relevant financial relationships with ineligible companies.
Speaker Disclosures
Dr. Amy Smith
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Financial Relationships: Dr. Smith has disclosed no relevant financial relationships with ineligible companies.
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Non-Financial Relationships: Dr. Smith has disclosed no non-financial interests relevant to the content of this activity.
Dr. Evelyn Dodge
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Financial Relationships: Dr. Dodge has disclosed no relevant financial relationships with ineligible companies.
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Non-Financial Relationships: Dr. Dodge has disclosed no non-financial interests relevant to the content of this activity.
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Register
- Non-member - $50
- Faculty Member - Free!
- *Further discounts may apply once you log in.
- More Information
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Contains 5 Component(s), Includes Credits
Credit: 1 AMA PRA Category 1 Credit™
Date: Thursday, October 23, 2025
Time: 3:00 PM – 4:00 PM ET
Duration: 60 minutes
Format: Live interactive webinar with Q&ADescription:
AI-driven tools are increasingly used to support diagnostics, clinical decision-making, and patient monitoring. This webinar reviews practical applications of AI in healthcare, including imaging, predictive analytics, and workflow automation. Faculty will also discuss risks such as algorithmic bias, data privacy, and regulatory oversight.Learning Objectives:
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Describe current AI applications in clinical practice.
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Evaluate benefits and limitations of AI in diagnostics and treatment planning.
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Identify ethical and regulatory considerations for safe adoption.
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Incorporate AI tools into practice while maintaining patient-centered care.
$i++ ?>Dr Evelyn Dodge
Professor of Biomedical Data Science
Johns Hopkins University School of Medicine
Dr. Evelyn Dodge is a biomedical data scientist with over 20 years of experience applying machine learning and big data analytics to population health. Her research emphasizes ensuring equity and transparency in AI algorithms used for diagnostics and treatment planning. Dr. Dodge has collaborated with the World Health Organization and national health systems on AI ethics frameworks, and she currently leads a multi-institutional consortium examining bias mitigation strategies in medical AI. A passionate educator, she mentors graduate students and clinicians in responsible innovation, bridging technology and patient-centered care.
- No Relevant Financial Relationships
Dr. Dodge has disclosed no relevant financial relationships with ineligible companies.
Advisory/Consulting Disclosure
Dr. Dodge serves as an unpaid advisor on the World Health Organization’s Artificial Intelligence in Health Ethics panel. She has disclosed no relevant financial relationships with ineligible companies.
$i++ ?>Dr Amy Smith
Associate Professor of Medicine
Department of Internal Medicine, University of California, San Francisco (UCSF)
Dr. Amy Smith is a physician and researcher specializing in clinical informatics and digital health. Her work focuses on integrating artificial intelligence and predictive analytics into electronic health records to support clinical decision-making and improve patient safety. Dr. Smith has led NIH-funded projects on machine learning models for early detection of sepsis and has published extensively on the ethical use of AI in clinical practice. She is a frequent speaker at international conferences on digital health innovation and serves on advisory panels shaping guidelines for responsible AI adoption in healthcare.
- No Relevant Financial Relationships
Dr. Smith has disclosed no relevant financial relationships with ineligible companies.
Research Funding Disclosure
Dr. Smith receives research funding from the National Institutes of Health (NIH) for studies related to clinical decision support. She has disclosed no relevant financial relationships with ineligible companies.
Speaker Disclosures
Dr. Amy Smith
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Financial Relationships: Dr. Smith has disclosed no relevant financial relationships with ineligible companies.
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Non-Financial Relationships: Dr. Smith has disclosed no non-financial interests relevant to the content of this activity.
Dr. Evelyn Dodge
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Financial Relationships: Dr. Dodge has disclosed no relevant financial relationships with ineligible companies.
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Non-Financial Relationships: Dr. Dodge has disclosed no non-financial interests relevant to the content of this activity.
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Register
- Non-member - $50
- Faculty Member - Free!
- *Further discounts may apply once you log in.
- More Information
-