Big Data Healthcare Analytics & Resurrecting the Digital Memory of Communication

First, I would like to extend our thanks to IBM for graciously hosting our next meetups. We also give our thanks and appreciation to PayPal for hosting the our meetings until now.

True to our model, we will focus on expert knowledge and and practical use cases to help our members tackle the complexity of Big Data from the technical to the organizational challenges.

We are currently putting the details of this new meetup.

Remember that you are always welcome and encouraged to present and be an active participant.

PRESENTATIONS_

1- Healthcare, Big Data, Cloud, and HIPAA with Mike Fahey

The advent of the Electronic Health Record and the Accountable Care Organization will be big enablers of more preventive health and diagnostics in healthcare. This is turn will drive more opportunity for analytics and Big Data. The Cloud also represents a huge paradigm shift which can further enable this adoption. However, unlike other markets, there are very serious restrictions around security and privacy in healthcare. These are represented in the US by the Health Insurance Portability and Accountability Act (HIPAA).

This presentation will explain the basics of HIPAA, HITECH, the Omnibus, the definition of a Business Associate, the Business Associate Agreement, and in particular how these apply to cloud and Big Data. It will debunk some of the myths about HIPAA and it will introduce items that are commonly misunderstood. The presentation will be geared towards the technical but it will also explain how HIPAA is not a product or feature set but a risk management process that deals with people, policies, and procedures, as well as technology. In the course of the presentation this great new market opportunity will be presented with the caveats of what is required to ensure that a solution is in compliance.

The session will cover the Security Rule, Privacy Rule, Breach Notification Rule, PHI and e-PHI, de-identification, patient consent, risk analysis, risk management, the technical and non-technical security evaluations, and what to expect in an audit. Although the session is focused on healthcare and meeting the requirements of HIPAA and HITECH, it also should prove useful for anyone planning to implement security and privacy in Big Data and cloud in other markets as well.

The presenter is a Boston area entrepreneur with over 20 years IT experience working in healthcare, cloud, storage, and analytics. He co-founded InfoBionic, which is a cloud based arrhythmia detection solution, which he recently left and is now assisting several area startups working on cloud based EHR, HIE, and Big Data healthcare solutions. Previous to InfoBionic he worked for several companies including HDS, EMC, and Archivas. He recently passed the Healthcare Information Security and Privacy Professional (HCISPP) exam and is pending his certification.

2 - Streaming Big Data - Thierry Hubert

After spending the week of May 19 at the IBM InfoSphere Stream bootcamp in NYC, and meeting with Watson Research team members, I will share with the group my team's experiences and findings. Our developers were impressed with IBM's Stream Programing Language (SPL) and the power that comes with compiling operators that compute streams continuously with an impressive library of analytics tools. It became obvious that our work on the Temporal Organic Curation of human expressions has found a compatible and performing platform.