The benefits of moving quality to a national level

Comparison of the management and in‐hospital outcomes of acute coronary syndrome patients in Australia and New Zealand: results from the binational SNAPSHOT acute coronary syndrome 2012 audit

“…Further in depth assessment of the structure of the clinical services, which are central to the delivery of healthcare to individual patients, is certainly warranted to try to find solutions to the limitations seen across the two countries. These challenges of service delivery are common to all contemporary ACS management services, and warrant the ongoing development of therapeutic advances, clinical trials, practice guidelines and performance and outcome measures, termed the ‘cycle of quality’ . The advent of local clinical networks is likely to facilitate greatly improvements in ACS care in many areas …”

Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms

“…In recent years, exponential advances in computational resources and machine learning technologies, coupled with digitized ECG datasets have opened up opportunities for ECG-based diagnostic and prognostic predictions 10 – 12 . However, the feasibility and value of linking ECG data to longitudinal population-level administrative health data to assist clinicians at point of care decision-making with the goal of completing the cycle of quality and facilitating a learning healthcare system has not been previously explored 1 , 13 .…”

“…In recent years, exponential advances in computational resources and machine learning technologies, coupled with digitized ECG datasets have opened up opportunities for ECG-based diagnostic and prognostic predictions [10][11][12] . However, the feasibility and value of linking ECG data to longitudinal population-level administrative health data to assist clinicians at point of care decision-making with the goal of completing the cycle of quality and facilitating a learning healthcare system has not been previously explored 1,13 . This motivated us to use a large population-level cohort of patients with universal health insurance presenting to emergency departments or hospitals to develop ECG-based machine learning models to predict both short-term (30-day) and longer-term mortality (1-and 5-year).…”

Global Collaborative Cardiovascular Research: The Collective Wisdom of Countries

“…Right, Life cycle of quality of health care as part of a learning health care system beginning with basic discovery, phase 2 and 3/4 clinical trials, and incorporation into clinical care guidelines, followed by performance assessment in registries and ultimately evaluation in whole populations, which sparks understanding of unmet needs and generates new research questions (adapted from Califf R. Am Heart J. 2008) 2.…”

“…Information technology is foundational to this story (Figure ). 2 Timely data communication in my career was first introduced by the fax machine. Whereas this advance provided rapid remote electrocardiographic interpretation of acute coronary syndromes (ACS) and welcome relief for acute care cardiologists, it also constituted the 3-page case report of the GUSTO trial (Global Utilization of Streptokinase and Tissue Plasminogen Activator for Occluded Coronary Arteries), 3 where 1081 hospitals faxed data from 41 021 patients with ST-segment-elevation myocardial infarction residing in 15 countries.…”