As the first of its 2015 Advanced Thought in Clinical Research series, Chesapeake IRB will host a panel of experts to examine issues surrounding the “Internet of Things” in clinical research.

The 90-minute broadcast is Monday, Sep.28, 2015, 11am EDT (4pm BST/ UK GMT +1).

The “Internet of Things” is a vision of the future where connected devices interact directly with other devices and data, without any human intervention. The Internet of Things (IoT) promises the power to transform healthcare, change how we detect and diagnose conditions, help create a larger pool of patients for clinical trials, speed enrollment, improve informed consent, and foster better care over the long run. The IoT is a cross-disciplinary effort involving sensor networking, data management and the internet.

The basic vision of IoT is that objects present in everyday life can be equipped with sensors which can track useful information. Attached to the internet, the information can flow through the same protocol that connects our computers to the internet. These uniquely identified internet-connected objects can sense whatever they are directed to, and communicate it – enabling collection and analysis of data in an unprecedented rate and volume.

Consolidated with other patient health information, big data analytical algorithms monitor patient health in real-time. This is useful in automating monitoring of patients with heart or Alzheimer’s conditions, and in assisted living, emergency response and health monitoring applications. It is revolutionary to clinical research, ethics and policy.

Along with the potential advantages and benefits of the IoT, there are complexities and barriers to adoption. The data collected are so vast and often sensitive that its collection introduces new ethical considerations. This program will provide an important overview of the impacts and issues involved in leveraging the IoT within healthcare and clinical research in particular.

To learn more or register for this event visit: The Internet of Things and Clinical Research or