Medical leadership and the use of data for a continuous quality improvement collaborative (CQIC) in an accident and emergency department

2018 ◽  
pp. 153-162
Author(s):  
Prakash Subedi ◽  
Jill Aylott ◽  
Prosenjit Giri ◽  
Martha Zaluaga Quintero ◽  
Sanjay Sinha ◽  
...  
2015 ◽  
Vol 4 (5) ◽  
pp. 47 ◽  
Author(s):  
Jean Claude Byiringiro ◽  
Rex Wong ◽  
Caroline Davis ◽  
Jeffery Williams ◽  
Joseph Becker ◽  
...  

Few case studies exist related to hospital accident and emergency department (A&E) quality improvement efforts in lowerresourced settings. We sought to report the impact of quality improvement principles applied to A&E overcrowding and flow in the largest referral and teaching hospital in Rwanda. A pre- and post-intervention study was conducted. A linked set of strategies included reallocating room space based on patient/visitor demand and flow, redirecting traffic, establishing a patient triage system and installing white boards to facilitate communication. Two months post-implementation, the average number of patients boarding in the A&E hallways significantly decreased from 28 (pre-intervention) to zero (post-intervention), p < .001. Foot traffic per dayshift hour significantly decreased from 221 people to 160 people (28%, p < .001), and non-A&E related foot traffic decreased from 81.4% to 36.3% (45% decrease, p < .001). One hundred percent of the A&E patients have been formally triaged since the implementation of the newly established triage system. Our project used quality improvement principles to reduce the number of patients boarding in the hallways and to decrease unnecessary foot traffic in the A&E department with little investment from the hospital. Key success factors included a collaborative multidisciplinary project team, strong internal champions, data-driven analysis, evidence-based interventions, senior leadership support, and rapid application of initial implementation learnings. Results to date show the application of quality improvement principles can help hospitals in resource-limited settings improve quality of care at relatively low cost.


CJEM ◽  
2019 ◽  
Vol 21 (S1) ◽  
pp. S110
Author(s):  
A. Taher ◽  
E. Bunker ◽  
L. Chartier ◽  
H. Ovens ◽  
B. Davis ◽  
...  

Introduction: Emergency department (ED) return visits are used for quality monitoring. Health information technology (HIT) has historically supported return visit programs in the same hospital or hospital system. The Emergency Department Return Visit Quality Program (EDRVQP) is a novel population level continuous quality improvement (QI) program connecting EDs across Ontario that leverages HIT. We sought to describe the EDRVQP HIT architecture, experience of participants, enabling program factors and barriers. Methods: The Informatics Stack conceptual framework was used to describe the HIT architecture. A literature review of peer-reviewed background literature, and stakeholder organization reports was conducted. Purposive sampling identified key informants. Semi-structured interviews were conducted until saturation. Common themes were identified by inductive qualitative thematic analysis. Results: Twenty-three participants from 15 organizations were interviewed. The EDRVQP architecture description is presented across the Informatics Stack. The levels from most comprehensive to most basic are world, organization, perspectives/roles, goals/functions, workflow/behaviour/adoption, information systems, modules, data/information/knowledge/algorithms, and technology. Enabling factors were a high rate of EHR adoption, provincial legislative mandate for data collection and program membership, use of functional and data standards, local variability, phased deployment, and QI and patient safety culture. Two main barriers were increased case turnaround time and privacy legislation. Conclusion: The Informatics Stack framework provides a robust approach to thoroughly describe the HIT architecture of this population health programs. The EDRVQP is a population health program that illustrates the pragmatic use of continuous QI methodology across a population (provincial) level.


Sign in / Sign up

Export Citation Format

Share Document