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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 …
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 …
[HTML][HTML] Using artificial intelligence and predictive modelling to enable learning healthcare systems (LHS) for pandemic preparedness
A Ankolekar, L Ep**s, F Bottari, IF Pinho… - Computational and …, 2024 - Elsevier
In anticipation of potential future pandemics, we examined the challenges and opportunities
presented by the COVID-19 outbreak. This analysis highlights how artificial intelligence (AI) …
presented by the COVID-19 outbreak. This analysis highlights how artificial intelligence (AI) …
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 …
Progress with the Learning Health System 2.0: a rapid review of Learning Health Systems' responses to pandemics and climate change
Background Pandemics and climate change each challenge health systems through
increasing numbers and new types of patients. To adapt to these challenges, leading health …
increasing numbers and new types of patients. To adapt to these challenges, leading health …
A framework for understanding, designing, develo** 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 …
Data to knowledge to improvement: creating the learning health system
Data to knowledge to improvement: creating the learning health system Page 1 RETHINKING
HEALTH AND CARE SYSTEMS Data to knowledge to improvement: creating the learning …
HEALTH AND CARE SYSTEMS Data to knowledge to improvement: creating the learning …
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 …