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:
People
![2014Group[31].jpg](https://static.wixstatic.com/media/bef7d2_4f915c4c732a42f6a3cf86a697ce4232~mv2.jpg/v1/fill/w_584,h_181,al_c,lg_1,q_80,enc_avif,quality_auto/2014Group%5B31%5D.jpg)
Staff
Research Students

Shokuh Puladi
PhD Student

Arya Akre
MS Student

Isha Singh
MS Student

Shwetha Suresh
BS Student

Saqar Esmali
PhD Student

Aman Bafna
MS Student

Korben Wong
BSIE

Nour Shoreibah
BS Student

Aishwarya Kumar Arvind
MS Student

Ines Sereno
MS Student

Eva Panin
BS Student

Mandy Hui
BS Student
College Support

Computer Support

Proposal Support

Budget Support
Affiliated Faculty



Industrial Engineering
Industrial Engineering


Industrial Engineering
College of Business

Industrial Engineering

College of Business

Mechanical Engineering

Industrial Engineering

Industrial Engineering

Qualitative Methods

Qualitative Methods