A5085858450- Electronic Health Records Systems
- Mobile Health and mHealth Applications
- Big Data and Business Intelligence
- Trade Secret Protection Methods
- Information Systems Theories and Implementation
- Competitive and Knowledge Intelligence
- Persona Design and Applications
- Digital Mental Health Interventions
- Healthcare Systems and Technology
- Business Strategies and Innovation
- Knowledge Management and Sharing
- Innovation and Knowledge Management
- Telemedicine and Telehealth Implementation
- Artificial Intelligence in Healthcare
- Service and Product Innovation
- Complex Systems and Decision Making
- Quality and Safety in Healthcare
- Pharmaceutical Practices and Patient Outcomes
- Primary Care and Health Outcomes
- Healthcare Policy and Management
- Technology Adoption and User Behaviour
- Medical Coding and Health Information
- Health Literacy and Information Accessibility
- Diabetes Management and Education
- Technology Use by Older Adults
Swinburne University of Technology
2018-2025
La Trobe University
2023-2025
Epworth Hospital
2015-2024
Murdoch Children's Research Institute
2022-2024
Digital Health Cooperative Research Centre
2024
Friedrich-Alexander-Universität Erlangen-Nürnberg
2017-2023
Peter MacCallum Cancer Centre
2018-2023
Fujifilm (Germany)
2023
Royal Hospital for Children
2023
University of Wisconsin–Parkside
2022
Feature engineering remains a major bottleneck when creating predictive systems from electronic medical records. At present, an important missing element is detecting regular clinical motifs irregular episodic We present Deepr (short for Deep record), new end-to-end deep learning system that learns to extract features records and predicts future risk automatically. transforms record into sequence of discrete elements separated by coded time gaps hospital transfers. On top the convolutional...
This comprehensive review investigates the transformative potential of sensor-driven digital twin technology in enhancing healthcare delivery within smart environments. We explore integration environments with sensor technologies, health capabilities, and location-based services, focusing on their impacts objectives outcomes. work analyzes foundational encompassing Internet Things (IoT), Medical (IoMT), machine learning (ML), artificial intelligence (AI), that underpin functionalities also...
Abstract Digital twins, succinctly described as the digital representation of a physical object, is concept that has emerged relatively recently with increasing application in manufacturing industry. This article proposes this to healthcare domain provide enhanced clinical decision support and enable more patient‐centric, simultaneously precise individualized care ensue. twins combined advances Artificial Intelligence (AI) have potential facilitate integration processing vast amounts...
Abstract: Diabetes is one of the leading non-communicable diseases globally, adversely impacting an individual's quality life and adding a considerable burden to healthcare systems. The necessity for frequent blood glucose (BG) monitoring inconveniences associated with self-monitoring BG, such as pain discomfort, has motivated development non-invasive BG approaches. However, current research progress slow, only few devices have made progress. Hence, we evaluate available technologies...
While healthcare is the biggest service industry on globe it has yet to realize full potential of e-business revolution in form e-health.This due many reasons including fact that faced with complex challenges trying deliver cost-effective, high-value, accessible and traditionally been slow embrace new business techniques technologies.Given e-health a great extent macro level concern far reaching micro implications, this paper firstly develops framework assess country's preparedness respect...
Exploring the opportunity for applying digital twins in healthcare context is an emerging research area that has potential to support more personalized care. A recognized aspect cancer care need treatment planning complement recent advances precision medicine. In this article, we present a classification of into Grey Box, Surrogate, and Black Box models using systems mathematical modeling theory. We then explore one possible approach, namely incorporating use uterine This article presents...
Background Medication nonadherence negatively impacts the health outcomes of people with cancer as well care costs. Digital technologies present opportunities to address this issue. However, there is limited evidence on how develop digital interventions that meet needs cancer, are perceived useful, and potentially effective in improving medication adherence. Objective The objective study was co-design, develop, preliminarily evaluate an innovative mobile solution called Safety Adherence...
Abstract Efforts to limit the impact of coronavirus disease (COVID‐19) pandemic led implementation public health measures and reallocation resources. To investigate trends in blood pressure (BP), hypertension BMI Australian population during COVID‐19 pandemic, data from publicly accessible stations were analyzed. Average BP measured by SiSU Health Station network Australia over 1.6 million screenings compared between years 2018 2021. Additionally, paired trajectories for development before...
Medical science has made revolutionary changes in the past few decades. Contemporaneously, however, healthcare incremental at best. One area within that best exemplifies this is operating room (OR). The growing discrepancy between medicine and minimal processes leads to inefficient ineffective deliver one if not significant contributor exponentially increasing costs plaguing globally. Significant quantities of data information permeate industry, yet industry maximised resource by fully...
Purpose The last decade has seen much interest in small and medium‐sized enterprises (SMEs) from successive UK Governments highlighting the importance of this sector to wealth‐creating process economy. World‐class manufacturing (WCM) is a set methodologies that are used by organisations compete globally continuously improve their competitiveness. Original equipment manufacturers (OEMs) now competing at global level many world‐class. majority companies make up OEM's supply chains SMEs. It is,...
Feature engineering remains a major bottleneck when creating predictive systems from electronic medical records. At present, an important missing element is detecting regular clinical motifs irregular episodic We present Deepr (short for Deep record), new end-to-end deep learning system that learns to extract features records and predicts future risk automatically. transforms record into sequence of discrete elements separated by coded time gaps hospital transfers. On top the convolutional...
Background: The use of communication apps on mobile phones offers an efficient, unobtrusive, and portable mode for medical staff. potential enhancements in patient care education appear significant, with clinical details able to be shared quickly within multidisciplinary teams, supporting rapid integration disparate information, more efficient care. However, sharing data this way also raises legal ethical issues. No is currently available demonstrating how widespread the these are, doctor’s...
Abstract In today's rapidly evolving technological landscape, the healthcare industry is a pivotal sector that demands continuous innovation. Although extensive research on blockchain technology exists, literature has predominantly emphasized technical aspects and specific applications within industries. However, comprehensive exploration of blockchain's business patient value in remains limited. This study aims to address this gap by conducting systematic review using PRISMA framework,...