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.
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.
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:
Eralp Dogu
BS, Statistics, Ege University, Izmir, Turkey (2002); MS, Statistics, Dokuz Eylul University, Izmir, Turkey (2006); PhD, Statistics, Dokuz Eylul University, Izmir, Turkey (2011)
Dissertation: Multivariate Statistical Process Control and Monitoring with Change Point Analysis
Research Interests: Quality Engineering, Applied Statistics, Process Monitoring, Health-related Surveillance, Biosurveillance, Change Point Analysis, and Statistical Computing.
Eralp is a post-doctoral research associate at the Healthcare Systems Engineering Institute. He received his PhD in Statistics from Dokuz Eylul University. His position includes applied work, research, and mentoring. In general, he focuses on applied health-related surveillance problems and investigates monitoring approaches to improve healthcare quality. Eralp is currently mentoring several undergraduate and graduate students and is also involved in several research projects including monitoring hospital acquired infections and bundle science statistical models. Prior to joining HSyE, Eralp worked as a researcher and instructor for several institutions. In his free time, Eralp enjoys walking, exploring new places, and cooking with his wife and daughter, Ela.
Email: e.dogu@neu.edu
Joined HSyE: ccc
Hometown: ccc
Education: degree, university (year);
Research Interests: ccc (1-3)
Hobbies: ccc (1-3)
Project Involvement at HSyE
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other project team members
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Selected Publications
Publication 1