1. A team of researchers has used data-mining and machine-learning techniques to find subtle changes in electrical activity in the heart that can be used to predict potentially fatal heart attacks. Researchers from the University of Michigan, MIT, Harvard Medical School and Brigham Women’s Hospital in Boston sifted through 24-hour electrocardiograms (which measure the electrical activity in the heart) from 4,557 heart-attack patients to find errant patterns that until now had been dismissed as noise or were undetectable.

    (via INFORMS)

     
  2. My original thesis project in graduate school related to optimal ambulance routing. It’s good to see people using operations research in that manner, and it’s not surprising how lucrative it can be.

    “It’s about how you match the resources you have got available most effectively to the emergency calls that are coming in and it’s not just matching the ambulance to the call but also matching it from a geographic sense as well,” said Mackay. “It’s a very difficult thing for somebody to do in their head which is typically what happens in most dispatch centres.”

    In the United States there are 15,000 individual ambulance providers and another 30,000 fire providers.

    “North America alone for us is potentially a billion dollar market. Even if we can get 5 per cent of that we’ll be doing well.”

     
  3. via chlady:

    The system is just one example of how Seattle Children’s Hospital says it has improved patient care, and its bottom line, by using practices made famous by Toyota and others. The main goals of the approach, known as kaizen, are to reduce waste and to increase value for customers through continuous small improvements.

    Brian Lucas, a spokesman for Children’s Hospitals and Clinics of Minnesota, says the lean efforts have been used to reduce unnecessary tasks and have not resulted in lower nurse-to-patient ratios. “To the contrary,” he said, “they have allowed nurses to spend more time delivering care to patients.”

    It’s good to see that OR/IE is alive in healthcare.  While I agree with the nurses who think time studies are inappropriate for hospitals, inventory management could greatly benefit healthcare providers from both a cost and a patient care perspective.

    Now if someone would just implement this.  :-)

     
  4. “Inventory Control for Automated Drug Dispensing Machines: A Service Level Policy,” INFORMS 2007

    “Inventory Control for Automated Drug Dispensing Machines: A Service Level Policy” (corresponding author, along with J. Kobza, S. Dunagan, G. Heath, and S. Liman) was presented at INFORMS Seattle 2007

    Abstract:  The authors present a service level inventory policy for automated drug dispensing machines.  Through simulation, it is shown that there could be a significant reduction in pharmaceutical shortages for a case study hospital.  A pilot study was also performed to validate the simulation results.  The model performed well compared to theoretical predictions and pre-implementation data.

    Presentation:

    Inventory Control For Automated Drug Dispensing Machines

    View more presentations from Steve Myles.

     
  5. INFORMS 2007 Presentations

    I’m not going to INFORMS in Seattle this year, but I am a co-author on two presentations:

    1. “Forecasting and Planning Diagnostic Techniques for Service Operations” (first author, along with V. Buraparate and A. Dhawan; to be presented in the “Operations Management” session on Tuesday November 6 from 4:30 – 6:00pm)

      Abstract: The authors propose a systematic methodology to identify problems existing in the forecasting and planning processes for service operations. This procedure enables the identification of areas where improvement is needed and also helps aid the Operations Research Analyst in the selection of appropriate tool(s) to resolve these issues. This process has been deployed in several consumer electronics service operations (e.g., contact and repair centers) and examples will be shared.
    2. “Inventory Control for Automated Drug Dispensing Machines: A Service Level Policy” (corresponding author, along with J. Kobza, S. Dunagan, G. Heath, and S. Liman; Dr. John Kobza is presenting this work I did for my MS degree because INFORMS only allows each person to be listed as first author on one paper; to be presented in the “Inventory Management” session on Wednesday November 7 from 3:30 – 5:00pm)

      Abstract:The authors present a service level inventory policy for automated drug dispensing machines. Through simulation, it is shown that there could be a significant reduction in pharmaceutical shortages for a case study hospital. A pilot study was also performed to validate the simulation results. The model performed well compared to theoretical predictions and pre-implementation data.

    Finally, my MS research is being presented. Look for the presentation here after it’s given in Seattle. The paper will probably be posted here at some point as well.

     
  6. Kailas Narendran, a friend of mine from high school, is one of the founders of a company called Myomo that was recently profiled in the New York Times. They have developed a joint brace that helps patients with limited mobility in their arms regain some of that mobility.

    “The device is designed to help get patients over a functional hump - so they can start moving the weakened arm again, said John McBean, a mechanical engineer who developed the technology with Kailas Narendran, an electrical engineer and computer scientist. (The two began the project in 2002, in a graduate robotics class at M.I.T.)”

    This is amazing work and I’m glad to know someone who’s involved in it.

    (read the whole article)

     
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