- Electronic Health Records Systems
- Mobile Health and mHealth Applications
- Big Data and Business Intelligence
- Information Systems Theories and Implementation
- Trade Secret Protection Methods
- 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
- Technology Adoption and User Behaviour
- Pharmaceutical Practices and Patient Outcomes
- Medical Coding and Health Information
- Primary Care and Health Outcomes
- Healthcare Policy and Management
- 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...
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...
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...
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,...
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 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...
Worldwide costs and the disparity between healthcare in Western world developing countries increase exponentially. Increased involvement of ICT allows, similarity to military, a transition from platformcentric more cohesive collaborative networkcentric operations. In information-intensive environment healthcare, approach allows free rapid sharing information effective knowledge building required for development coherent objectives their attainment. We suggest that application proposed...
In today's context of escalating costs, managed care, regulations such as the Health Insurance Portability and Accountability Act (HIPAA) a technology savvy patient, healthcare industry can no longer be complacent regarding embracing technologies to enable better, more effective efficient practice management. an environment, many organisations are turning m-commerce or wireless solutions. These solutions, in particular mobile electronic patient record, have advantages over their wired...
Wireless sensor networks are often based on omni-sensing and communication models. In contrast, in this paper, we investigate with directional sensing capability. Due to the distinct characteristics potential effects coverage connectivity of network, novel analysis solutions demanded. Towards end, paper analyses deployment strategies for satisfying given probability requirements Moreover, sensors model, propose methods checking repairing network. We design efficient protocols implement our...
One after another more and e-somethings are constantly appearing. The newest sensation though, is not an e-something rather the mobile Internet, m-commerce or version of e-commerce. Mobile commerce now being embraced across most industries to a greater lesser extent. In fact, its impact felt in healthcare industry. Our paper serves outline benefits adopting within particular, it discusses appropriate solution enable hospitals operate effectively efficiently today's competitive costly...