Join Associate Ali Jessani for a Strafford CLE webinar that will guide healthcare counsel in leveraging big data to improve the quality of patient care and reduce costs. The panel will offer best practices to minimize risks and overcome legal and regulatory hurdles when collecting and using patient data.
Big data provides insight into the healthcare industry, enabling new assessment, identification and prevention methods for inpatient care. Healthcare providers, covered entities, business associates and others can leverage big data in healthcare to control or cut healthcare costs and improve patient outcomes. The application of big data analytics to the healthcare system could save the industry billions annually.
While the benefits of using data analytics can be significant, there are risks and compliance complexities associated with the use of big data. The chief challenge may be complying with HIPAA and state privacy requirements. Additionally, Stark, Anti-Kickback, antitrust and security issues may arise.
Healthcare counsel must identify and address the potential legal and regulatory challenges facing covered entities, business associates and others using big data.
An authoritative panel of healthcare attorneys including Mr. Jessani will discuss the use of big data in healthcare and examine the legal and regulatory issues users of big data must address. The panel will offer best practices for overcoming the legal and regulatory hurdles—including HIPAA compliance, Stark and AKS compliance, and security issues—and will address the following questions:
- How can the healthcare industry leverage big data to improve patient outcomes?
- What legal risks arise for healthcare providers and healthcare companies that use big data?
- What strategies effectively manage the legal risks inherent in collecting and using patient data to further business interests?
- Use of big data in healthcare
- Legal and regulatory hurdles
- HIPAA compliance
- Stark and Anti-Kickback Statute compliance
- Security issues
- Best practices for compliance when using big data