AIMC Topic: Needs Assessment
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Assistive robots for socialization in elderly people: results pertaining to the needs of the users.
Aging clinical and experimental research
Dec 17, 2018
BACKGROUND/AIM: Technological solutions can support the elderly, improve their quality of life and reduce isolation and loneliness. The Euro-Japan ACCRA (Agile Co-Creation for Robots and Aging) project has the objective of building a reference co-cre...
Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records.
PLoS medicine
Nov 20, 2018
BACKGROUND: Emergency admissions are a major source of healthcare spending. We aimed to derive, validate, and compare conventional and machine learning models for prediction of the first emergency admission. Machine learning methods are capable of ca...
Machine Learning
Electronic Health Records
Female
Reproducibility of Results
Risk Factors
Humans
Middle Aged
Risk Assessment
England
Adolescent
Time Factors
Aged
Aged, 80 and over
Young Adult
Adult
Male
Socioeconomic Factors
Sex Factors
Health Status
Health Services Needs and Demand
Age Factors
Patient Admission
Emergency Service, Hospital
Needs Assessment
Data Mining
Chaotic genetic algorithm and Adaboost ensemble metamodeling approach for optimum resource planning in emergency departments.
Artificial intelligence in medicine
Oct 18, 2017
Long length of stay and overcrowding in emergency departments (EDs) are two common problems in the healthcare industry. To decrease the average length of stay (ALOS) and tackle overcrowding, numerous resources, including the number of doctors, nurses...
Patient Care Team
Needs Assessment
Delivery of Health Care, Integrated
Hospitals, Teaching
Length of Stay
Time Factors
Emergency Service, Hospital
Workflow
Patient Discharge
Efficiency, Organizational
Nonlinear Dynamics
Decision Support Systems, Management
Health Services Needs and Demand
Patient Admission
Humans
Neural Networks, Computer
Machine Learning
Decision Support Techniques
Computer Simulation
Robot deployment in long-term care : Case study on using a mobile robot to support physiotherapy.
Zeitschrift fur Gerontologie und Geriatrie
Jun 3, 2016
BACKGROUND: Healthcare systems in industrialized countries face the challenge of providing care for a growing number of elderly people. Information technology has the possibility of facilitating this process by providing support for nursing staff and...
Social service robots to support independent living : Experiences from a field trial.
Zeitschrift fur Gerontologie und Geriatrie
May 25, 2016
BACKGROUND: Assistive robots could be a future means to support independent living for seniors.
Independent Living
Man-Machine Systems
Patient Preference
Self-Help Devices
Needs Assessment
Humans
Utilization Review
Female
Sweden
Aged
Robotics
Aged, 80 and over
Equipment Design
Male
Activities of Daily Living
Social Support
Austria
Accidental Falls
Equipment Failure Analysis
User-Computer Interface
Designing a social and assistive robot for seniors.
Zeitschrift fur Gerontologie und Geriatrie
May 25, 2016
BACKGROUND: The development of social assistive robots is an approach with the intention of preventing and detecting falls among seniors. There is a need for a relatively low-cost mobile robot with an arm and a gripper which is small enough to naviga...
Uncovering Hospitalists' Information Needs from Outside Healthcare Facilities in the Context of Health Information Exchange Using Association Rule Learning.
Applied clinical informatics
Nov 25, 2015
BACKGROUND: Important barriers to health information exchange (HIE) adoption are clinical workflow disruptions and troubles with the system interface. Prior research suggests that HIE interfaces providing faster access to useful information may stimu...
Assessment of brain-machine interfaces from the perspective of people with paralysis.
Journal of neural engineering
Jul 14, 2015
OBJECTIVE: One of the main goals of brain-machine interface (BMI) research is to restore function to people with paralysis. Currently, multiple BMI design features are being investigated, based on various input modalities (externally applied and surg...
Designing for designers: insights into the knowledge users of inclusive design.
Applied ergonomics
May 6, 2013
Over the last twenty years, research on inclusive design has delivered a wealth of publications and initiatives, forming an emerging knowledge base for inclusive design. The inclusive design knowledge base breaks down into two discrete areas - unders...
Exploring supportive care needs of lung cancer patients in China and predicting with machine learning models.
Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
Jun 13, 2025
PURPOSE: This study aims to explore the level of supportive care needs among hospitalized lung cancer patients in China, explore the key influencing factors and use machine learning (ML) to develop predictive models for the level of supportive care n...
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