[HTML][HTML] Digital pathology and computational image analysis in nephropathology
The emergence of digital pathology—an image-based environment for the acquisition,
management and interpretation of pathology information supported by computational …
management and interpretation of pathology information supported by computational …
[HTML][HTML] Learning health systems using data to drive healthcare improvement and impact: a systematic review
Background The transition to electronic health records offers the potential for big data to
drive the next frontier in healthcare improvement. Yet there are multiple barriers to …
drive the next frontier in healthcare improvement. Yet there are multiple barriers to …
[HTML][HTML] Bayesian networks in healthcare: Distribution by medical condition
Bayesian networks (BNs) have received increasing research attention that is not matched by
adoption in practice and yet have potential to significantly benefit healthcare. Hitherto …
adoption in practice and yet have potential to significantly benefit healthcare. Hitherto …
Clarifying the concept of a learning health system for healthcare delivery organizations: implications from a qualitative analysis of the scientific literature
D Easterling, AC Perry, R Woodside… - Learning Health …, 2022 - Wiley Online Library
The “learning health system”(LHS) concept has been defined in broad terms, which makes it
challenging for health system leaders to determine exactly what is required to transform their …
challenging for health system leaders to determine exactly what is required to transform their …
Understanding unwarranted variation in clinical practice: a focus on network effects, reflective medicine and learning health systems
In the past decades, extensive research has been performed on the phenomenon of
unwarranted clinical variation in clinical practice. Many studies have been performed on …
unwarranted clinical variation in clinical practice. Many studies have been performed on …
A framework for understanding, designing, developing and evaluating learning health systems
Abstract Introduction A Learning Health System is not a technical project. It is the evolution of
an existing health system into one capable of learning from every patient. This paper …
an existing health system into one capable of learning from every patient. This paper …
[HTML][HTML] A perspective on life-cycle health technology assessment and real-world evidence for precision oncology in Canada
Health technology assessment (HTA) can be used to make healthcare systems more
equitable and efficient. Advances in precision oncology are challenging conventional …
equitable and efficient. Advances in precision oncology are challenging conventional …
Stroke learning health systems: a topical narrative review with case examples
To our knowledge, the adoption of Learning Health System (LHS) concepts or approaches
for improving stroke care, patient outcomes, and value have not previously been …
for improving stroke care, patient outcomes, and value have not previously been …
[HTML][HTML] A learning health system framework to operationalize health data to improve quality care: an Australian perspective
JC Enticott, A Melder, A Johnson, A Jones… - Frontiers in …, 2021 - frontiersin.org
Our healthcare system faces a burgeoning aging population, rising complexity, and
escalating costs. Around 10% of healthcare is harmful, and evidence is slow to implement …
escalating costs. Around 10% of healthcare is harmful, and evidence is slow to implement …
General system theory and the use of process mining to improve care pathways
O Johnson - Applied interdisciplinary theory in health informatics, 2019 - ebooks.iospress.nl
Abstract General System Theory was proposed in the post-war period as a unifying
framework for interdisciplinary science based on the idea that systems have a set of similar …
framework for interdisciplinary science based on the idea that systems have a set of similar …