AIMC Topic: Quality of Health Care
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"Artificial intelligence": Which services, which applications, which results and which development today in clinical research? Which impact on the quality of care? Which recommendations?
Therapie
Dec 13, 2018
Artificial intelligence (AI), beyond the concrete applications that have already become part of our daily lives, makes it possible to process numerous and heterogeneous data and knowledge, and to understand potentially complex and abstract rules in a...
Safety of patient-facing digital symptom checkers.
Lancet (London, England)
Nov 6, 2018
Health system measurement: Harnessing machine learning to advance global health.
PloS one
Oct 5, 2018
BACKGROUND: Further improvements in population health in low- and middle-income countries demand high-quality care to address an increasingly complex burden of disease. Health facility surveys provide an important but costly source of information on ...
Extracting Healthcare Quality Information from Unstructured Data.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Healthcare quality research is a fundamental task that involves assessing treatment patterns and measuring the associated patient outcomes to identify potential areas for improving healthcare. While both qualitative and quantitative approaches are us...
Deep learning for healthcare applications based on physiological signals: A review.
Computer methods and programs in biomedicine
Apr 11, 2018
BACKGROUND AND OBJECTIVE: We have cast the net into the ocean of knowledge to retrieve the latest scientific research on deep learning methods for physiological signals. We found 53 research papers on this topic, published from 01.01.2008 to 31.12.20...
Scoping review on the use of socially assistive robot technology in elderly care.
BMJ open
Feb 12, 2018
OBJECTIVE: With an elderly population that is set to more than double by 2050 worldwide, there will be an increased demand for elderly care. This poses several impediments in the delivery of high-quality health and social care. Socially assistive rob...
The ResQu Index: A new instrument to appraise the quality of research on birth place.
PloS one
Aug 10, 2017
OBJECTIVE: Place of birth is a known determinant of health care outcomes, interventions and costs. Many studies have examined the maternal and perinatal outcomes when women plan to give birth in hospitals compared with births in birth centres or at h...
Service innovation through social robot engagement to improve dementia care quality.
Assistive technology : the official journal of RESNA
Apr 11, 2016
Assistive technologies, such as robots, have proven to be useful in a social context and to improve the quality of life for people with dementia (PwD). This study aims to show how the engagement between two social robots and PwD in Australian residen...
MILS in a general surgery unit: learning curve, indications, and limitations.
Updates in surgery
Jul 12, 2015
Minimally invasive liver surgery (MILS) is going to be a method with a wide diffusion even in general surgery units. Organization, learning curve effect, and the environment are crucial issues to evaluate before starting a program of minimally invasi...
Blood Loss, Surgical
Operative Time
Robotics
Laparoscopy
Quality of Health Care
General Surgery
Hepatectomy
Aged
Operating Rooms
Hospital Units
Aged, 80 and over
Learning Curve
Middle Aged
Humans
Clinical Competence
Adult
Risk Assessment
Retrospective Studies
Male
Cohort Studies
Length of Stay
Female
Treatment Outcome
Follow-Up Studies
Automatic evidence quality prediction to support evidence-based decision making.
Artificial intelligence in medicine
Apr 22, 2015
BACKGROUND: Evidence-based medicine practice requires practitioners to obtain the best available medical evidence, and appraise the quality of the evidence when making clinical decisions. Primarily due to the plethora of electronically available data...
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