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Evidence-Based Practice

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Point-of-Care Knowledge-Based Resource Needs of Clinicians: A Survey from a Large Academic Medical Center.

Applied clinical informatics
OBJECTIVE: To better understand the literature searching preferences of clinical providers we conducted an institution-wide survey assessing the most preferred knowledge searching techniques.

How to build up the actionable knowledge base: the role of 'best fit' framework synthesis for studies of improvement in healthcare.

BMJ quality & safety
Increasing recognition of the role and value of theory in improvement work in healthcare offers the prospect of capitalising upon, and consolidating, actionable lessons from synthesis of improvement projects and initiatives. We propose that informed ...

Impact of a Collective Intelligence Tailored Messaging System on Smoking Cessation: The Perspect Randomized Experiment.

Journal of medical Internet research
BACKGROUND: Outside health care, content tailoring is driven algorithmically using machine learning compared to the rule-based approach used in current implementations of computer-tailored health communication (CTHC) systems. A special class of machi...

Innovating With Rehabilitation Technology in the Real World: Promises, Potentials, and Perspectives.

American journal of physical medicine & rehabilitation
In this article, we discuss robotic-assisted therapy as an emerging and significant field of clinical rehabilitation and its value proposition for innovating rehabilitation clinical practice. Attempts to achieve integration among clinicians' practice...

About Our Knowledge Base: How Knowledge Development Informs Researchers and Readers.

Journal of human lactation : official journal of International Lactation Consultant Association

Characteristics of knowledge content in a curated online evidence library.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To describe types of recommendations represented in a curated online evidence library, report on the quality of evidence-based recommendations pertaining to diagnostic imaging exams, and assess underlying knowledge representation.

A question of trust: can we build an evidence base to gain trust in systematic review automation technologies?

Systematic reviews
BACKGROUND: Although many aspects of systematic reviews use computational tools, systematic reviewers have been reluctant to adopt machine learning tools.

Can Machine Learning help us in dealing with treatment resistant depression? A review.

Journal of affective disorders
BACKGROUND: About one third of patients treated with antidepressant do not show sufficient symptoms relief and up to 15% of patients remain symptomatic even after multiple trials are applied, configuring a state called treatment resistant depression ...