How to diagnose an overcrowded emergency department from its EHRs? Enhancing opportunities and challenges of real-world data from a whole-system perspective DOI Creative Commons
Luca Marzano, Adam S. Darwich,

Raghothama Jayanth

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 23, 2023

Abstract Emergency department overcrowding is a complex problem that persists globally. Data of visits constitute an opportunity to understand it. However, the gap between collected information and real-life clinical processes, lack whole-system perspective, still constitutes relevant limitation. An analytical pipeline was developed analyse one-year production data following patients came from ED (n = 49,938) at Uppsala University Hospital (Uppsala, Sweden) by involving experts in all steps analysis. The key internal issues were high volume generic or non-specific diagnoses non-urgent visits, delayed decision regarding hospital admission caused several imaging assessments beds. Furthermore, external pressure frequent re-visits geriatric, psychiatric, with unspecified dramatically contributed overcrowding. Our work demonstrates through analysis patient flow participation pipeline, it possible identify systemic directions for solutions. A critical factor take whole systems as opened scope boundary effects inflow outflow healthcare system.

Language: Английский

Investigation into Data Mining for Analysis and Optimization of Direct Maintenance Costs in Civil Aircraft Operations DOI Open Access
Zhe Tian

IJIIS International Journal of Informatics and Information Systems, Journal Year: 2024, Volume and Issue: 7(1), P. 35 - 43

Published: Jan. 7, 2024

Civil aircraft maintenance cost is an important indicator to measure the maintainability and economy of civil aircraft, it accounts for a considerable proportion operating costs. Data mining technology can unearth potentially high-value data from massive data. In this paper, aiming at problem that there are very few actual be effectively used in development stage research on direct analysis optimization method based carried out. The theoretical basis studied, factors affecting analyzed mining, DMC established. On above research, model was established optimized achieve goal reducing It great significance life cycle costs improving market competitiveness.

Language: Английский

Citations

0
How to diagnose an overcrowded emergency department from its EHRs? Enhancing opportunities and challenges of real-world data from a whole-system perspective DOI Creative Commons
Luca Marzano, Adam S. Darwich,

Raghothama Jayanth

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 23, 2023

Abstract Emergency department overcrowding is a complex problem that persists globally. Data of visits constitute an opportunity to understand it. However, the gap between collected information and real-life clinical processes, lack whole-system perspective, still constitutes relevant limitation. An analytical pipeline was developed analyse one-year production data following patients came from ED (n = 49,938) at Uppsala University Hospital (Uppsala, Sweden) by involving experts in all steps analysis. The key internal issues were high volume generic or non-specific diagnoses non-urgent visits, delayed decision regarding hospital admission caused several imaging assessments beds. Furthermore, external pressure frequent re-visits geriatric, psychiatric, with unspecified dramatically contributed overcrowding. Our work demonstrates through analysis patient flow participation pipeline, it possible identify systemic directions for solutions. A critical factor take whole systems as opened scope boundary effects inflow outflow healthcare system.

Language: Английский

Citations

0