A5004159814- Mobile Health and mHealth Applications
- Digital Mental Health Interventions
- Telemedicine and Telehealth Implementation
- Electronic Health Records Systems
- Physical Activity and Health
- Healthcare Systems and Technology
- AI in Service Interactions
- Blood Pressure and Hypertension Studies
- Chronic Disease Management Strategies
- Health Literacy and Information Accessibility
- Cardiac Health and Mental Health
- Atrial Fibrillation Management and Outcomes
- Diabetes Management and Education
- Social Media in Health Education
- Impact of Technology on Adolescents
- Health Systems, Economic Evaluations, Quality of Life
- Heart Failure Treatment and Management
- Obesity, Physical Activity, Diet
- Healthcare Systems and Public Health
- Artificial Intelligence in Healthcare and Education
- COVID-19 and healthcare impacts
- Topic Modeling
- Medication Adherence and Compliance
- Innovative Human-Technology Interaction
- Smoking Behavior and Cessation
The University of Sydney
2020-2025
Westmead Institute
2020-2025
Macquarie University
2015-2023
Sydney Local Health District
2023
Digital Health Cooperative Research Centre
2023
Westmead Hospital
2023
South Western Sydney Local Health District
2022
Universidade Nova de Lisboa
2014-2021
Imperial College London
2021
Australian Institute of Health and Welfare
2015-2020
We are all together in a fight against the COVID-19 pandemic. Chatbots, if effectively designed and deployed, could help us by sharing up-to-date information quickly, encouraging desired health impacting behaviors, lessening psychological damage caused fear isolation. Despite this potential, risk of amplifying misinformation lack prior effectiveness research is cause for concern. Immediate collaborations between healthcare workers, companies, academics governments merited may aid future...
Background: Secondary prevention lifestyle and pharmacological treatment of atherosclerotic cardiovascular disease (ASCVD) reduce a high proportion recurrent events mortality. However, significant gaps exist between guideline recommendations usual clinical practice. Objectives: Describe the state art, roadblocks, successful strategies to overcome them in ASCVD secondary management. Methods: A writing group reviewed guidelines research papers received inputs from an international committee...
Hypertension is the most common modifiable risk factor for cardiovascular diseases in South Asia. Machine learning (ML) models have been shown to outperform clinical predictions compared statistical methods, but studies using ML predict hypertension at population level are lacking. This study used approaches a dataset of three Asian countries and its associated factors model's performances.We conducted retrospective analyses detect population-based surveys. We created single by harmonizing...
With the onset of COVID-19, general practitioners (GPs) and patients worldwide swiftly transitioned from face-to-face to digital remote consultations. There is a need evaluate how this global shift has impacted patient care, healthcare providers, carer experience, health systems. We explored GPs' perspectives on main benefits challenges using virtual care. GPs across 20 countries completed an online questionnaire between June-September 2020. perceptions barriers were free-text questions....
Artificial Intelligence (AI) is increasingly influential across various sectors, including healthcare, with the potential to revolutionize clinical practice. However, risks associated AI adoption in medicine have also been identified. Despite general understanding that will impact studies assess perceptions of medical doctors about use are still scarce. We set out survey licensed practice Portugal impact, advantages, and disadvantages designed an observational, descriptive, cross-sectional...
Patients with type 2 diabetes mellitus (DM) have a central role in managing their disease, but the effective adoption of self-management behaviours is often challenging.The main objective this study was to assess facilitators, barriers and expectations DM, as perceived by patients.Patients DM were recruited at Portuguese Diabetes Association outpatient clinic, using convenient sampling technique. Qualitative data obtained video-recorded focus groups. Each session had moderator an observer,...
The study sought to understand the potential roles of a future artificial intelligence (AI) documentation assistant in primary care consultations and identify implications for doctors, patients, healthcare system, technology design from perspective general practitioners.
Conversational agents (CAs) are systems that mimic human conversations using text or spoken language. Their widely used examples include voice-activated such as Apple Siri, Google Assistant, Amazon Alexa, and Microsoft Cortana. The use of CAs in health care has been on the rise, but concerns about their potential safety risks often remain understudied.
Abstract Although various methods have been developed to evaluate conversational interfaces, there has a lack of specifically focusing on evaluating user experience. This paper reviews the understandings experience (UX) in interfaces literature and examines six questionnaires commonly used for systems order assess potential suitability these measure different UX dimensions that context. The method examine involved developing an assessment framework main with relevant attributes coding items...