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
Sunday, June 2, 2019
Approach:
Results to Date:
AHRQ Agency for Healthcare Research and Quality
Patient Safety Learning Labs (PSLL)
The AHRQ Patient Safety Learning Lab integrates healthcare safety, information technology, systems engineering, and human factors expertise to develop tools that engage patients, family, and professional care team members in real-time, reliable identification, assessment, and reduction of patient safety threats before they manifest in actual harm.
HSyE is a leading research organization that utilizes systems engineering (SE) methodologies in healthcare to improve processes with a focus on patient safety and quality of care. HSyE has been a PI or co-PI on 4 of the 30 AHRQ Patient Safety Learning Labs using SE to understand the problem, prototype solutions, and evaluate/implement solutions.
PSLL Projects
EHRLL
Our synergistic projects will engage health system-based re-engineering and design (R&D) of highly reliable (1) closed loop systems for high priority primary to external specialty referrals; (2) coordination systems for children with medical complexity undergoing surgery; (3) management systems for patients on chronic opioids; and (4) coordination systems for patients between hospital and homecare.
CLOSED
Diagnostic errors in primary care are costly and can be attributable to failures or delays in follow up on diagnostic testing, referrals, and patient symptoms. The proposed research seeks to “close the loop” on this public health problem by employing system engineering methods in three diverse healthcare practices to create a system that provides highly reliable follow-up of diagnostic tests, referrals, and symptom evolution.
Acute Care PSLL
The goal of this learning laboratory is to develop tools to engage patients, family, and professional care team members in reliable identification, assessment, and reduction of patient safety threats in real time, before they manifest in actual harm.
People
James C. Benneyan, PhD
Co-Principal Investigator
DxPSLL
Nicole Nehls
Research Coordinator
DxPSLL
Tze Sheng Yap
Systems Engineer
DxPSLL
Basma Bargal
Industrial Engineer
DxPSLL