AIMC Topic: Health Services Research

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The Quebec rural emergency department project: a cross-sectional study of a potential two-pronged strategy in the knowledge transfer process.

PloS one
INTRODUCTION: Health services research generates useful knowledge. Promotion of implementation of this knowledge in medical practice is essential. Prior to initiation of a major study on rural emergency departments (EDs), we deployed two knowledge tr...

Using the Knowledge Base of Health Services Research to Redefine Health Care Systems.

Journal of general internal medicine
This Perspective discusses 12 key facts derived from 50 years of health services research and argues that this knowledge base can stimulate innovative thinking about how to make health care systems safer, more efficient, more cost effective, and more...

Potential application of machine learning in health outcomes research and some statistical cautions.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
Traditional analytic methods are often ill-suited to the evolving world of health care big data characterized by massive volume, complexity, and velocity. In particular, methods are needed that can estimate models efficiently using very large dataset...

Core Concepts in Pharmacoepidemiology: Principled Use of Artificial Intelligence and Machine Learning in Pharmacoepidemiology and Healthcare Research.

Pharmacoepidemiology and drug safety
Artificial intelligence (AI) and machine learning (ML) are important tools across many fields of health and medical research. Pharmacoepidemiologists can bring essential methodological rigor and study design expertise to the design and use of these t...

AHRQ's digital healthcare research program: 20 years of advancing innovation and discovery.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: To reflect on the achievements of the Agency for Healthcare Research and Quality's (AHRQ) Digital Healthcare Research Program over the past 20 years, evaluate its impact on US healthcare quality and safety, and outline current and future ...

New horizons in prediction modelling using machine learning in older people's healthcare research.

Age and ageing
Machine learning (ML) and prediction modelling have become increasingly influential in healthcare, providing critical insights and supporting clinical decisions, particularly in the age of big data. This paper serves as an introductory guide for heal...

The Representation of Trust in Artificial Intelligence Healthcare Research.

Studies in health technology and informatics
Artificial intelligence (AI) tends to emerge as a relevant component of medical care, previously reserved for medical experts. A key factor for the utilization of AI is the user's trust in the AI itself, respectively the AIt's decision process, but A...

Intersections of machine learning and epidemiological methods for health services research.

International journal of epidemiology
The field of health services research is broad and seeks to answer questions about the health care system. It is inherently interdisciplinary, and epidemiologists have made crucial contributions. Parametric regression techniques remain standard pract...

[Integrating Artificial Intelligence Into Healthcare Research].

Hu li za zhi The journal of nursing
The rapid development of artificial intelligence (AI) technologies in recent decades has led to innovation and new development opportunities in many industries. The application of AI technologies in the medical and healthcare sector offers significan...

Can Artificial Intelligence Improve Psychotherapy Research and Practice?

Administration and policy in mental health
Leonard Bickman's article on the future of artificial intelligence (AI) in psychotherapy research paints an encouraging picture of the progress to be made in this field. We support his perspective, but we also offer some cautionary notes about the bo...