A5054897372- Artificial Intelligence in Healthcare and Education
- Smoking Behavior and Cessation
- Digital Mental Health Interventions
- Electronic Health Records Systems
- Telemedicine and Telehealth Implementation
- Misinformation and Its Impacts
- Machine Learning in Healthcare
- Clinical Reasoning and Diagnostic Skills
- Emergency and Acute Care Studies
- Mental Health via Writing
- Noise Effects and Management
- Autopsy Techniques and Outcomes
- Health, psychology, and well-being
- Health Policy Implementation Science
- Food Safety and Hygiene
- Food Security and Health in Diverse Populations
- Traffic and Road Safety
- Global Public Health Policies and Epidemiology
- COVID-19 and Mental Health
- Crime, Deviance, and Social Control
- Organic Food and Agriculture
- School Health and Nursing Education
- Health Promotion and Cardiovascular Prevention
- Environmental and Social Impact Assessments
Sydney Local Health District
2015-2020
South Western Sydney Local Health District
2015-2020
Objectives To compare breadth of condition coverage, accuracy suggested conditions and appropriateness urgency advice eight popular symptom assessment apps. Design Vignettes study. Setting 200 primary care vignettes. Intervention/comparator For apps seven general practitioners (GPs): coverage condition-suggestion measured against the vignettes’ gold-standard. Primary outcome measures (1) Proportion ‘covered’ by an app, that is, not excluded because user was too young/old or pregnant,...
The Arabic-speaking population is a priority for tobacco control in Sydney's south-west. Current smoking prevalence and smokers' preferences evidence-based cessation therapies are reported this population.
Abstract Objectives To compare breadth of condition coverage, accuracy suggested conditions and appropriateness urgency advice 8 popular symptom assessment apps with each other 7 General Practitioners. Design Clinical vignettes study. Setting 200 clinical representing real-world scenarios in primary care. Intervention/comparator Condition accuracy, performance was measured against the vignettes’ gold-standard diagnoses triage level. Primary outcome measures Outcomes included (i) proportion...
Low- and middle-income countries face difficulties in providing adequate health care. One of the reasons is a shortage qualified workers. Diagnostic decision support systems are designed to aid clinicians their work have potential mitigate pressure on care systems.The Artificial Intelligence-Based Assessment Health Symptoms Tanzania (AFYA) study will evaluate an English-language artificial intelligence-based prototype diagnostic system for mid-level practitioners low- or setting.This...
Issue addressed Tobacco consumption contributes to health disparities among Aboriginal Australians who experience a greater burden of smoking-related death and diseases. This paper reports findings from baseline survey on factors associated with smoking, cessation behaviours attitudes towards smoke-free homes the population in inner south-western Sydney. Methods A was conducted Sydney October 2010 July 2011. The applied both interviewer-administered self-administered data collection methods....
Abstract Introduction A partnership between three Aboriginal Community Controlled Organisations and a mainstream health service was formed to develop, implement evaluate comprehensive culturally appropriate social marketing project which aimed encourage smokers quit smoking. The also supported attempts promoted denormalisation of Methods evaluated through baseline (n = 427) follow‐up 611) surveys carried out face‐to‐face with and/or Torres Strait Islander participants 18 years older...
Due to a global shortage of healthcare workers, there is lack basic for 4 billion people worldwide, particularly affecting low-income and middle-income countries. The utilisation AI-based tools such as symptom assessment applications (SAAs) has the potential reduce burden on systems. purpose AFYA Study (AI-based Assessment oF health sYmptoms in TAnzania) evaluate accuracy condition suggestions urgency advice provided by user Swahili language Ada SAA.This study designed an observational...
Abstract Introduction A community‐based project was developed to support quit attempts and denormalise smoking in Aboriginal communities. This qualitative study evaluates the effectiveness of strategies, messages partnership process, explores impacts observed by community members, complementing findings from a quantitative evaluation. Methods The comprised five focus groups (40 participants) 14 in‐depth interviews (with 15 members). Data were analysed thematically manual NVivo software...
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Abstract Introduction The shortage of healthcare workers affects countries worldwide and primarily people in rural areas. Although Romania trains a high number physicians, the absence effective retention motivation policies leads many them to opt for higher-paying jobs other countries. As result, patients experience long travel wait times. Our study assessed if using an AI-powered SAA, Ada, waiting room is feasible patients, can improve consultation efficiency, enhance patient-physician...
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<sec> <title>BACKGROUND</title> Low- and middle-income countries face difficulties in providing adequate health care. One of the reasons is a shortage qualified workers. Diagnostic decision support systems are designed to aid clinicians their work have potential mitigate pressure on care systems. </sec> <title>OBJECTIVE</title> The Artificial Intelligence–Based Assessment Health Symptoms Tanzania (AFYA) study will evaluate an English-language artificial intelligence–based prototype...