Beyond 'find and fix': improving quality and safety through resilient healthcare systems.

Beyond 'find and fix': improving quality and safety through resilient healthcare systems.

Anderson, J E;Ross, A J;Back, J;Duncan, M;Snell, P;Hopper, A;Jaye, P;
International journal for quality in health care : journal of the International Society for Quality in Health Care 2020
197
anderson2020beyondinternational

Abstract

The aim was to develop a method based on resilient healthcare principles to proactively identify system vulnerabilities and quality improvement interventions.Ethnographic methods to understand work as it is done in practice using concepts from resilient healthcare, the Concepts for Applying Resilience Engineering model and the four key activities that are proposed to underpin resilient performance-anticipating, monitoring, responding and learning.Accident and Emergency Department (ED) and the Older People's Unit (OPU) of a large teaching hospital in central London.ED-observations 104 h, and 14 staff interviews. OPU-observations 60 h, and 15 staff interviews.Data were analysed to identify targets for quality improvement. In the OPU, discharge was a complex and variable process that was difficult to monitor. A system to integrate information and clearly show progress towards discharge was needed. In the ED, patient flow was identified as a complex high-intensity activity that was not supported by the existing data systems. The need for a system to integrate and display information about both patient and organizational factors was identified. In both settings, adaptive capacity was limited by the absence of systems to monitor the work environment.The study showed that using resilient healthcare principles to inform quality improvement was feasible and focused attention on challenges that had not been addressed by traditional quality improvement practices. Monitoring patient and workflow in both the ED and the OPU was identified as a priority for supporting staff to manage the complexity of the work.

Access

Citation

ID: 98593
Ref Key: anderson2020beyondinternational
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
98593
Unique Identifier:
mzaa007
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet