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3rd Annual Leveraging RFID for Hospitals

Implementing RFID to Optimize Patient Safety and Maximize ROI

 

January 30-February 1, 2006

Bally's Las Vegas

Las Vegas, NV

 

 

Presentation I

 

Smart Medicine

Building an Intelligent Infrastructure in the Hospital

 

The Massachusetts Institute of Technology has embarked on a series of programs intent on integrating the physical and informational worlds.  The Auto-ID Center proposed an infrastructure that allows objects to communicate with one another seamlessly through the Internet. Based on low-cost electronic tags, unique object identification numbers, common networking services and standardized protocols and languages, the proposed architecture is now a worldwide revolution in supply chain management.

 

The MIT Data Center is a new initiative charged with researching and developing the technologies needed to integrate widely disparate data and analytic models across the global internet.  The internet revolution has brought a vast amount of readily available data.  The problem is this information cannot be easily merged and analyzed.

 

While the eXtensible Markup Language (XML), Web Services and the associated industry schemas have standardized the form and structure of the data, the integration of meaning and content has not been realized.  The MIT Data Center has set out to address this issue with a new language "the M Language" intent on describing the meaning of information in an open and flexible manner.

Combining information from the physical world, biometric telemetry, patient monitoring, and equipment tracking, with other networked data, epidemiological information, drug data and electronic medical records creates an immensely powerful system for healthcare and a potential revolution in medicine.

 

The technologies from these initiatives have the potential to greatly reduce costs while increasing the reliability and effectiveness of healthcare. This session focuses on core components of the technology, recent advances in sensors and sensor networks and applications and benefits to healthcare and medicine.

 

Attendees will gain knowledge on:

 

-- The electronic identification systems and standards

-- Application to healthcare and hospitals

-- Sensors and sensor networks

-- Data standards and information services

 

David L. Brock,  Ph.D.

Founder and Director, the MIT Data Center

Principal Research Scientist

Massachusetts Institute of Technology

 

 

Presentation II

 

Make Sense of Your Data

Integrating Information and Algorithm for Analysis, Prediction and Planning

 

Clinicians today face an explosion of data powered by torrents information from digitized records and new technologies such as RFID and sensor networks.  How can you make sense of this data?  More particularly, how can you use this information to make intelligent, efficient and safe decisions?

 

The Data Center at the Massachusetts Institute of Technology is a new initiative charged with developing the languages, protocols and technologies to seamless link data and algorithms across the computer network.  The Center is developing the infrastructure, recommending the standards and building prototype applications to interoperate data and models throughout the enterprise.

 

Combining data and models could allow hospitals to see subtle patterns from initial outbreaks of disease to unforeseen drug reactions.  Integrating physiological modeling with real-time sensor data could be a powerful tool for the healthcare providing aiding them in diagnosis and critical condition long before they are usually known.

 

In this workshop you will

 

Examine - The types of data and their characteristics accessible in today's clinical environment.

 

Understand - The amounts of data and the information system used to manage these data.

 

Discuss - Future data sources from RFID and sensor networks and how these can be integrated into legacy database systems.

 

Explore - New "cutting-edge" technologies and processes that may more efficiently manage future data networks.

 

Consider - Tools and techniques to merge these data streams into analytic models that will enhance prediction and planning within healthcare systems.

 

David L. Brock,  Ph.D.

Founder and Director, the MIT Data Center

Principal Research Scientist

Massachusetts Institute of Technology

 

 

 

 

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Copyright 2005 MIT.  All Rights Reserved.

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