Closing the Loop by Operationalizing Systems Engineering and Design (CLOSED)
Motivation:
Specific Aims :
Aim 1:​Use systems engineering and patient engagement to design, develop, and refine a highly reliable “closed loop” system for diagnostic tests and referrals that ensures diagnostic orders and follow-up occur reliably within clinically- and patient-important time-frames.
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Aim 2: Use systems engineering and patient engagement to design, develop, and refine a highly reliable “closed loop” system for symptoms that ensures clinicians receive and act on feedback about evolving symptoms and physical findings of concern to patients or clinicians.
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Aim 3: Design for generalizability across health systems more broadly so that the processes created in Aims 1 and 2 are effective in (1) a practice in an underserved community, (2) a large tele-medicine system, and (3) a representative range of simulated other health system settings and populations.
Partners:
Sunday, June 2, 2019
Sunday, June 2, 2019
Approach:
Sunday, June 2, 2019
Results to Date:
Xiaoli Duan
Email: duan.xi@husky.neu.edu
Joined HSyE: October 2016
Hometown: China
Education: B.S, Mathematics, Statistics, University of Minnesota - Twin Cities (2015)
Research Interests: Simulation, Data Mining, Operations Research
Hobbies: Food, Uno poker
Project Involvement at HSyE
I am a PhD student in Industrial Engineering at Northeastern University. I received my B.S. in Mathematics and Statistics at University of Minnesota - Twin Cities. My research interest is in simulation, data mining, operations research and applications in healthcare industries. I am a big fan of traveling. I have been to more than twenty countries all over the world.