What are the biggest privacy and security concerns in healthcare when it comes to big data and using data analytics tools? Attorneys Elizabeth Mann and Brad Peterson explain what organizations need to know before they dig in.
Big data and the use of analytics tools offer great potential for improving healthcare treatment and practices. For example, they can assist with identifying promising new medical discoveries, bolstering patient compliance to medication protocols and fighting healthcare fraud, says Mann of the law firm Mayer Brown.
"Big data can be analyzed to find potential candidates to enroll for clinical trials," she notes. But entities must ensure that privacy risks are addressed through obtaining appropriate patient consent and security risks are mitigated through the application of appropriate technologies, she adds.
Another important step in minimizing risks involves mapping big data flows, says Peterson, also of the law firm Mayer Brown.
"You have to understand the laws that apply to you, have the consent from the sources of data, and a written security information program ... that's actually implemented," he adds.
In a joint interview with Information Security Media Group (see audio link below photos), Peterson and Mann also discuss:
- Big data considerations related to wearable health devices;
- Suggestions for preventing breaches and other security incidents involving big data;
- Emerging big data analytics trends.
Mann is a Los Angeles-based partner of Mayer Brown, and co-leads the firm's healthcare practice. She concentrates her practice on healthcare regulatory and litigation matters.
Peterson is a partner in at firm's Chicago office and leader of its technology transactions practice. He has focused his practice for 20 years on helping companies work better with their technology and operations suppliers.