CSAIL Publications and Digital Archive header
bullet Research Abstracts Home bullet CSAIL Digital Archive bullet Research Activities bullet CSAIL Home bullet

link to publications.csail.mit.edu link to www.csail.mit.edu horizontal line

 

Research Abstracts - 2007
horizontal line

horizontal line

vertical line
vertical line

SMART: Scalable Medical Alert and Response Technologies

Dorothy Curtis, Esteban Pino, Jacob Bailey, Lucila Ohno-Machado, Robert Greenes & John Guttag

Introduction

The Scalable Medical Alert and Response Technology Project (SMART) [1] is examining the deployment of advanced technology in the waiting area of an Emergency Department to wirelessly monitor vital signs and locations of otherwise unattended patients. This gives waiting patients some security that their condition is being monitored even though a caregiver is unavailable. The Emergency Department caregivers are alerted to problems occurring in the waiting room in real-time and patient priorities can be dynamically adjusted depending on the circumstances.

Approach

During the past few years we developed a prototype of the SMART system. The prototype includes a handheld computer for the patient that has two sensors. The sensors, which monitor the electrical rhythms of the heart (ECG) and the oxygenation levels (SpO2), send their data to the patient's handheld. The handheld forwards the data to a central server. The central server monitors the signals and alerts appropriate caregivers when there is a problem. The system also has an indoor positioning system manufactured by Sonitor [2], for locating patients, caregivers, and equipment.

With this prototype, we can monitor patients who complain of shortness of breath or chest pains and who seem likely to spend a not insignificant amount of time waiting to see a caregiver.

Architecture

The data flows from the patients' sensors to the patients' PDAs to the SMART Central Computer, as shown in Figure 1.

SMART System Components

Figure 1: SMART System Architecture

Progress

During the past year we deployed our prototype system: we have eight SMART Patient Waist Packs with sensor boxes and location tags, two caregiver PDAs and a SMART Central computer located in the waiting area of the Emergency Department at the Brigham and Women's Hospital in Boston. Figure 2 shows one of our SMART colleagues wearing a SMART Waist Pack.

SMART Colleague with SMART Waist Pack

Figure 2: SMART Colleague with SMART Waist Pack

We have monitored over 110 patients since mid-June 2006. For three of these patients this monitoring indicated significant problems and the paramedic who operates the SMART system called this to the attention of the caregivers and these patients were seen immediately. We have also collected about 100 hours of data.

In September 2006, we participated in Operation Poseidon, a large-scale preparedness exercise in the Boston area that incorporated several disaster sites, many volunteer victims, local police and fire departments, several ambulance services and several local hospitals. A laptop-based SMART Central was set up quickly, in about 5 minutes. We then monitored six unconscious patients who arrived at the Brigham and Women's Hospital.

Future

We are currently working on various aspects of scalability of the SMART system. The first is sending vital signs and GPS data from an ambulance for display on a SMART central computer. The second is aspect is simulating the use of SMART systems in large scale disasters.

Research Support

This research is supported by the National Library of Medicine, contract number N01LM33509.

Various publicity, largely courtesy of Terry Aasen of Sonitor. Thanks! News articles

References:

[1] Lucila Ohno-Machado and Dorothy Curtis. Smart: Scalable Medical Alert and Response Technology.

[2] Sonitor Technologies: Indoor Positioning System.

[3] Jason Waterman, Dorothy Curtis, Michel Goraczko, Eugene Shih, Pankaj Sarin MD, Esteban Pino, Lucila Ohno-Machado MD, PhD, Robert Greenes MD, PhD, John Guttag PhD and Thomas Stair MD. Demonstration of SMART (Scalable Medical Alert Response Technology). Presented at AMIA, Washington, D.C., October 2005.

[4] Esteban Pino, Lucila Ohno-Machado MD, PhD, Eduardo Wiechmann PhD, and Dorothy Curtis. Real-Time ECG Algorithms for Ambulatory Patient Monitoring. Presented at AMIA, Washington, D.C., October 2005.

[5] Operation Poseidon Link 1 Link 2 Link 3

 

vertical line
vertical line
 
horizontal line

MIT logo Computer Science and Artificial Intelligence Laboratory (CSAIL)
The Stata Center, Building 32 - 32 Vassar Street - Cambridge, MA 02139 - USA
tel:+1-617-253-0073 - publications@csail.mit.edu