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:
Awatef Omar Ergai
BS, Materials Science Engineering, University of Tripoli, Tripoli, Libya; MS, Engineering Management, University of Tripoli, Tripoli, Libya (2005); MS, Industrial Engineering, Clemson University, Clemson, SC (2011); PhD, Industrial Engineering, Clemson University, Clemson, SC (2013)
Dissertation: Assessment of the Human Factors Analysis and Classification System (HFACS): Intra-Rater and Inter-Rater Reliability
Research Interests: Patient Safety, Human Factors Safety Management Systems, Improving Quality of Health Care Using Human Factors Methods, Applied Statistics, and Data Mining
Awatef joined the Healthcare Systems Engineering Institute as a post-doctoral research associate. Her post-doc position includes applied work, research, and mentoring. She is currently working with undergraduate and graduate students on an applied project with Atrius Health under the CMMI Award, which aims to identify sub-populations of patients that would best benefit from Atrius' home-based primary care program. In addition, Awatef is involved in a couple of research projects including the use of the signal detection theory to optimize physicians' decisions in diagnosing Autism and other types of diseases as well as identifying the causes of out-of-system referrals (i.e., outside utilization) and ways of preventing them. Her hobbies include reading, walking, traveling, astronomy, and baking.
Project Name
other project team members
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Project Name
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Project Involvement at HSyE
Email: a.ergai@neu.edu
Joined HSyE: ccc
Hometown: ccc
Education: degree, university (year);
Research Interests: ccc (1-3)
Hobbies: ccc (1-3)
Selected Publications
Publication 1
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