Improving health care systems following an incident investigation.

Conf Proc IEEE Eng Med Biol Soc

Devteq Consulting, Walnut Creek, CA, USA.

Published: June 2007

All health care is delivered to patients through an assemblage of minisystems. (A minisystem is the smallest system that can deliver a single clinical benefit.) It is the failure of these minisystems that reportedly results in between 44,000 and 98,000 iatrogenic deaths in the United States, annually. Device-related, accident investigations are intended to identify the latent defects within these minisystems and to recommend corrective actions that will prevent a recurrence. A generic, system's risk model has been developed for analyzing the performance of these minisystems. It provides the investigator with a mental model of the interacting components of the minisystem and provides a logical pathway toward the root causes of an adverse event. Of practical importance in using this model, is that operator error contributes to approximately 69% of the failures of health care minisystems and a fundamental understanding of human factors and human error is required.

Download full-text PDF

Source
http://dx.doi.org/10.1109/IEMBS.2004.1403982DOI Listing

Publication Analysis

Top Keywords

health care
12
minisystems
5
improving health
4
care systems
4
systems incident
4
incident investigation
4
investigation health
4
care delivered
4
delivered patients
4
patients assemblage
4

Similar Publications

Introduction: Sexually transmitted infections (STIs) in pregnancy are associated with an increased risk of vertical HIV transmission and adverse pregnancy and birth outcomes. In South Africa, syndromic management is the standard of care for STI management. We assessed the potential impact of point-of-care (POC) screening for curable STIs (Chlamydia trachomatis [CT], Trichomonas vaginalis [TV] and Neisseria gonorrhoeae [NG]) during pregnancy on vertical HIV transmission and adverse pregnancy and birth outcomes.

View Article and Find Full Text PDF

Aim: Accurate and appropriate cognitive screening can significantly enhance early psychosis care, yet no screening tools have been validated for the early psychosis population and little is known about current screening practices, experiences, or factors that may influence implementation. CogScreen is a hybrid type 1 study aiming to validate two promising screening tools with young people with first episode psychosis (primary aim) and to understand the context for implementing cognitive screening in early psychosis settings (secondary aim). This protocol outlines the implementation study, which aims to explore the current practices, acceptability, feasibility and determinants of cognitive screening in early psychosis settings from the perspective of key stakeholders.

View Article and Find Full Text PDF

Aim: To implement and evaluate an Advanced Practice Nurse-led transitional care model (AdvantAGE) to reduce rehospitalisation rates in frail older adults discharged from a Swiss geriatric hospital.

Design: The study adopts an effectiveness-implementation hybrid design (Type 1) to simultaneously evaluate the effectiveness of the care model and explore the implementation process.

Methods: The primary outcome, the 90-day rehospitalisation rate, will be evaluated using a matched-cohort design with a prospective intervention group and a retrospective control group.

View Article and Find Full Text PDF

Aim: To discuss inter-organisational collaboration in the context of the successful COVID-19 vaccination programme in North Central London (NCL).

Design: An action research study in 2023-2024.

Methods: Six action research cycles used mixed qualitative methods.

View Article and Find Full Text PDF

Background: Breast cancer screening (BCS) inequities are evident at national and local levels, and many health systems want to address these inequities, but may lack data about contributing factors. The objective of this study was to inform health system interventions through an exploratory analysis of potential multilevel contributors to BCS inequities using health system data.

Methods: The authors conducted a cross-sectional analysis within a large academic health system including 19,774 individuals who identified as Black (n = 1445) or White (n = 18,329) race and were eligible for BCS.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!