AIMC Topic: Health Services Research
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Reporting guidelines for artificial intelligence in healthcare research.
Clinical & experimental ophthalmology
May 25, 2021
Reporting guidelines are structured tools developed using explicit methodology that specify the minimum information required by researchers when reporting a study. The use of artificial intelligence (AI) reporting guidelines that address potential so...
Core services that power AI-driven transformation in cancer research and care.
Biochimica et biophysica acta. Reviews on cancer
Apr 10, 2021
This review captures some key lessons learned in the course of helping some of America's leading healthcare AI innovators achieve scale and sustained impact in complex research and care delivery ecosystems. AI innovators may find it useful to access ...
Predicting preventable hospital readmissions with causal machine learning.
Health services research
Oct 30, 2020
OBJECTIVE: To assess both the feasibility and potential impact of predicting preventable hospital readmissions using causal machine learning applied to data from the implementation of a readmissions prevention intervention (the Transitions Program).
Middle Aged
Risk Assessment
Severity of Illness Index
Health Status
Female
Risk Factors
Aged
Male
Diagnostic Techniques and Procedures
Continuity of Patient Care
Age Factors
Sex Factors
Patient Readmission
Health Services Research
Humans
Machine Learning
Retrospective Studies
Electronic Health Records
Identification of Patients with Nontraumatic Intracranial Hemorrhage Using Administrative Claims Data.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Oct 15, 2020
INTRODUCTION: Nontraumatic intracranial hemorrhage (ICH) is a neurological emergency of research interest; however, unlike ischemic stroke, has not been well studied in large datasets due to the lack of an established administrative claims-based defi...
Deep Learning and Multivariable Models Select EVAR Patients for Short-Stay Discharge.
Vascular and endovascular surgery
Sep 10, 2020
OBJECTIVES: We sought to develop a prediction score with data from the Vascular Quality Initiative (VQI) EVAR in efforts to assist endovascular specialists in deciding whether or not a patient is appropriate for short-stay discharge.
Endovascular Procedures
Enhanced Recovery After Surgery
Health Services Research
Aortic Aneurysm
Treatment Outcome
Patient Discharge
Patient Selection
Multivariate Analysis
Time Factors
Smartphone
Mobile Applications
Female
Risk Factors
Humans
Aged
Decision Support Techniques
Aged, 80 and over
Databases, Factual
Male
Clinical Decision-Making
Risk Assessment
Deep Learning
Length of Stay
Ethical concerns around use of artificial intelligence in health care research from the perspective of patients with meningioma, caregivers and health care providers: a qualitative study.
CMAJ open
Feb 18, 2020
BACKGROUND: As artificial intelligence (AI) approaches in research increase and AI becomes more integrated into medicine, there is a need to understand perspectives from members of the Canadian public and medical community. The aim of this project wa...
Trends and Focus of Machine Learning Applications for Health Research.
JAMA network open
Oct 2, 2019
IMPORTANCE: The use of machine learning applications related to health is rapidly increasing and may have the potential to profoundly affect the field of health care.
From protocolized to person-centered chronic care in general practice: study protocol of an action-based research project (COPILOT).
Primary health care research & development
Sep 24, 2019
AIM: To develop a proactive person-centered care approach for persons with (multiple) chronic diseases in general practice, and to explore the impact on 'Quadruple aims': experiences of patients and professionals, patient outcomes and costs of resour...
Recent Advances in Using Natural Language Processing to Address Public Health Research Questions Using Social Media and ConsumerGenerated Data.
Yearbook of medical informatics
Aug 16, 2019
OBJECTIVE: We present a narrative review of recent work on the utilisation of Natural Language Processing (NLP) for the analysis of social media (including online health communities) specifically for public health applications.
Building the case for actionable ethics in digital health research supported by artificial intelligence.
BMC medicine
Jul 17, 2019
The digital revolution is disrupting the ways in which health research is conducted, and subsequently, changing healthcare. Direct-to-consumer wellness products and mobile apps, pervasive sensor technologies and access to social network data offer ex...
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