Distance Learning


AHLA's distance learning events allow you the flexibility to stay abreast of regulatory developments in the health law field from anywhere you have internet access, and in most cases earn continuing legal education credits. 

Our events are tagged by subject matter as well as by the AHLA groups involved in developing the content.  Click the buttons below to search by Practice Group or use our Advanced Search to find a particular event of interest.

Academic Medical Centers and Teaching HospitalsAntitrustBusiness Law and GovernanceFraud and AbuseHealth Care Liability and LitigationHealth Information and TechnologyHospitals and Health SystemsIn-House CounselLabor and EmploymentLife SciencesMedical Staff, Credentialing, and Peer ReviewPayers, Plans, and Managed CarePhysician OrganizationsPost-Acute and Long Term ServicesRegulation, Accreditation, and PaymentTax and Finance

Accountable Care Organization, Payment Innovation, and Health Care Reform Educational Task ForceBehavioral Health Task ForceEnterprise Risk Management Task Force

Just Announced

  • Value Based Arrangements and FMV/CR Webinar Series, Part III: The Rise of Advanced Practice Providers – An Overview of Key Utilization, FMV, and Stark Law Issues

    Contains 4 Component(s), Includes Credits Includes a Live Web Event on 06/18/2020 at 2:00 PM (EDT)

    Historically physicians were the sole clinical provider for most patients across the country; however, over the past few decades nurse practitioners, nurse midwives, nurse anesthetists, and physician assistants (“Advanced Practice Providers or APPs”) have expanded the concept of a provider. This webinar will provide an overview of contractual arrangements and compensation strategies organizations may have with APPs. Specifically, the speakers will address advanced issues in regards to utilizing APPs in a compliant manner, strategies to compensate these individuals, and the interplay between the Stark Law, the Anti-Kickback Statute, physicians, and APPs. The speakers will highlight specific arrangements and strategies for organizations to understand how to more effectively develop a compliant strategy around APPs.

  • AI and Health Law, Part IV: Privacy and Security

    Contains 4 Component(s), Includes Credits Includes a Live Web Event on 05/19/2020 at 2:00 PM (EDT)

    This session will dive into challenges surrounding maintaining the privacy and security of data, and how those challenges may shift as use of AI increases, including standards of NIST, ONC, OCR (HIPAA), and others.

  • AI and Health Law Webinar Series, All Parts - On Demand Recording

    Contains 1 Product(s)

    Artificial intelligence is poised to become a transformational force in health care. There are nearly endless opportunities to leverage technology to deploy more precise, efficient, and impactful interventions at exactly the right moment in a patient’s care. Inevitably, health law will have to respond to these changes. This four-part webinar series will include in-depth discussions of some of the key legal issues that arise with AI in health care.

  • Value Based Arrangements and FMV/CR Webinar Series, Part II: Designing Compliant and Contemporary Physician Compensation Models That Support Value-Based Care

    Contains 4 Component(s), Includes Credits Includes a Live Web Event on 05/14/2020 at 2:00 PM (EDT)

    As health care organizations continue to focus on improving efficiency, quality of care, and patient access, compensation approaches to support the changing care delivery, reimbursement, and financial environment are also evolving. This webinar will examine the innovative approaches for compensating physicians currently being developed.

  • AI and Health Law, Part III: Liability Issues and Data Bias

    Contains 4 Component(s), Includes Credits Includes a Live Web Event on 04/28/2020 at 2:00 PM (EDT)

    Panelists will discuss the extent to which AI should be disclosed to patients as part of informed consent. The session also will explore the significant ambiguity that currently exists related to whether a harm resulting from use of AI should be attributed to product liability or professional liability, including who is or should be the responsible party, implications for the standard of care, and allocation of risk through specific contractual terms. This session also will look at data bias and ethics issues relating to the adoption of AI technologies in health care, including data selection, informed consent, and accuracy of patient-generated data.