[HTML][HTML] The science of learning health systems: scoping review of empirical research

LA Ellis, M Sarkies, K Churruca… - JMIR medical …, 2022 - medinform.jmir.org
Background: The development and adoption of a learning health system (LHS) has been
proposed as a means to address key challenges facing current and future health care …

The three numbers you need to know about healthcare: the 60-30-10 challenge

J Braithwaite, P Glasziou, J Westbrook - BMC medicine, 2020 - Springer
Background Healthcare represents a paradox. While change is everywhere, performance
has flatlined: 60% of care on average is in line with evidence-or consensus-based …

Identifying requisite learning health system competencies: a scoping review

PL McDonald, J Phillips, K Harwood, J Maring… - BMJ open, 2022 - bmjopen.bmj.com
Objectives Learning health systems (LHS) integrate knowledge and practice through cycles
of continuous quality improvement and learning to increase healthcare quality. LHS have …

Rethinking autism spectrum disorder assessment for children during COVID‐19 and beyond

L Zwaigenbaum, S Bishop, WL Stone… - Autism …, 2021 - Wiley Online Library
The COVID‐19 pandemic has posed unique challenges for families and caregivers, as well
as for autism‐focused clinicians, who are faced with providing a thorough and accurate …

Creating a learning health system for improving diagnostic safety: pragmatic insights from US health care organizations

TD Giardina, U Shahid, U Mushtaq… - Journal of General …, 2022 - Springer
Objective To identify challenges and pragmatic strategies for improving diagnostic safety at
an organizational level using concepts from learning health systems Methods We …

Stakeholder perspectives towards diagnostic artificial intelligence: a co-produced qualitative evidence synthesis

RYL Kuo, A Freethy, J Smith, R Hill, C Joanna… - …, 2024 - thelancet.com
Background Diagnosis is a cornerstone of medical practice. Worldwide, there is increased
demand for diagnostic services, exacerbating workforce shortages. Artificial intelligence (AI) …

Reducing the Risk of Delayed Colorectal Cancer Diagnoses Through an Ambulatory Safety Net Collaborative

R Moyal-Smith, M Elam, J Boulanger, R Balaban… - The Joint Commission …, 2024 - Elsevier
Background An estimated 12 million adults in the United States experience delayed
diagnoses and other diagnostic errors annually. Ambulatory safety nets (ASNs) are an …

Improving health with and for individuals with schizophrenia using a learning health system approach: from idea to daily practice

A Gremyr - 2022 - diva-portal.org
Ana is a 34-year-old woman who has suffered from psychotic symptoms since she was in
her early twenties. The early symptoms were primarily depression and anxiety. Her parents …

Stakeholder perspectives towards diagnostic artificial intelligence: a co-produced qualitative evidence synthesis.

LK RY, A Freethy, J Smith, R Hill, D Jerome… - …, 2024 - europepmc.org
Background Diagnosis is a cornerstone of medical practice. Worldwide, there is increased
demand for diagnostic services, exacerbating workforce shortages. Artificial intelligence (AI) …

[引用][C] Improving Diagnostic Error Detection and Analysis: The First Step on a Long Path to Diagnostic Error Prevention

L Lurvey, MH Kanter - Joint Commission Journal on …, 2022 - jointcommissionjournal.com
Delayed, missed, or incorrect diagnoses are common, costly, and harmful, sometimes
devastatingly so. 1 Preventing these errors should be a priority for any health care system …