Machine Learning in Healthcare: Regulatory Requirements, Reimbursement Challenges, Privacy and Security Risks
A live 90-minute CLE video webinar with interactive Q&A
This CLE webinar will guide healthcare counsel on machine learning in the healthcare context. The panel will discuss how healthcare companies and providers are using machine learning to provide healthcare, patient care, and administrative processes. The panel will examine the regulatory requirements and the implications for reimbursement. The panel will also address privacy and security issues and offer best practices for compliance when using machine learning in healthcare.
- Machine learning in healthcare
- Patient care
- Administrative processes
- Key considerations
- Regulatory requirements
- Standard of care
- Privacy and security
- Ethical issues
- Contractual issues
- Reps and warranties
- Best practices for compliance when using machine learning in healthcare
The panel will review these and other key issues:
- How can healthcare providers minimize liability risks when using machine learning for patient care--or when deciding not to use it?
- Who may be liable when a healthcare provider's care is based on machine learning?
W. Kenneth Davis, Jr.
Mr. Davis counsels clients in the formation of new businesses, joint ventures, management and other service... | Read More
Mr. Davis counsels clients in the formation of new businesses, joint ventures, management and other service relationships, networks and other relationships aimed at integrating and improving the efficacy of the healthcare process. His work involves a myriad of matters including initial structuring and business model development, analysis of regulatory and reimbursement issues, private equity, and mergers and acquisitions. He also regularly provides healthcare compliance counsel for clients.Close
Alaap B. Shah
Epstein Becker & Green
Mr. Shah advises clients on privacy, cybersecurity, and data protection laws and regulations, as well as healthcare... | Read More
Mr. Shah advises clients on privacy, cybersecurity, and data protection laws and regulations, as well as healthcare fraud and abuse matters and government investigations relating to health information technology. He counsels clients on digital health and data asset management strategies and related compliance issues. Mr. Shah’s work focuses on defense and counseling of healthcare entities on legal and regulatory compliance issues around privacy, cybersecurity, and data asset management. He has extensive experience with legal issues related to health information technology, big data analytics, and digital health strategies. He provides compliance counseling, establishes and evaluates compliance programs, conducts privacy and security risk assessments, establishes compliant contracting strategies to build trust networks, and responds to data breaches. Mr. Shah is a Certified CSF Practitioner, a designation given by the Health Information Trust Alliance, an organization that provides training to develop and maintain effective security programs for healthcare and life sciences companies that comply with security laws, regulations, and standards, including HITECH, HIPAA, PCI, JCAHO, CMS, ISO, NIST, and various other federal, state, and business requirements. He is also recognized by the Healthcare Information and Management Systems Society as a Certified Professional in Healthcare Information and Management Systems (CPHIMS). Mr. Shah is also recognized by the International Association of Privacy Professionals as a Certified Information Privacy Professional in the United States.Close
Early Discount (through 07/09/21)
Cannot Attend August 3?
Early Discount (through 07/09/21)
You may pre-order a recording to listen at your convenience. Recordings are available 48 hours after the webinar. Strafford will process CLE credit for one person on each recording. All formats include program handouts.