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How lived experience mediated my gold, ribbons, puzzles and morals research motivations : a reflective introspection

  • Authors: Stranieri, Andrew
  • Date: 2024
  • Type: Text , Book chapter
  • Relation: Research partners with lived experience : stories from patients and survivors Chapter 15 p. 183-191
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  • Description: Studies on factors that motivate researchers conclude that financial rewards, recognition, curiosity and a desire to contribute; the so-called, Gold, Ribbons, Puzzle and Morals motivating factors, combine to explain why individuals start and continue to be researchers. Lived experience with significant, often life-changing events as a patient, carer, victim, or bystander has motivated many, directly or indirectly, including me, to become researchers. In this chapter, I draw on introspection to examine my journey through 25 years of research experience in university settings. I use concepts from dual systems theories that identify intuition and cognition as two processes that come together to explain how key events and situations in life have influenced my decisions. This illustrates how critical events have mediated the Gold, Ribbon, Puzzle and Morals factors that were motivating my research efforts.

Research partners with lived experience : stories from patients and survivors

  • Authors: Stranieri, Andrew , Meredith, Grant , Firmin, Sally
  • Date: 2024
  • Type: Text , Book
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  • Description: This book aims to foster collaborations between patients who have intense lived experience with a medical condition or family violence and researchers investigating them. Inviting patients or survivors into the research team is found to have significant advantages, and chapters review the literature on the benefits they can bring to investigative research teams. The collaboration can take place at multiple stages of research from helping to research design, participating in co-investigators, contributing to the interpretation of results, etc. The conditions addressed in this book include medical conditions from anxiety, postural orthostatic tachycardia syndrome, lupus, asthma, chronic kidney disease, etc. The authors are higher degree students, academics, and active research team members who share their experiences. This is be instrumental in helping patients and survivors decide whether to transition to research. It will also support research team leaders in determining how to benefit from the new perspectives researchers with lived experience bring. The personal narratives provide insight into the challenges and rewards of having lived experience while conducting research.

A case for causal loop diagrams to model electronic health records ecosystems

  • Authors: Hashmi, Mustafa , McInnes, Angelique , Sahama, Tony , Stranieri, Andrew
  • Date: 2023
  • Type: Text , Conference paper
  • Relation: 2023 Australasian Computer Science Week, ACSW 2023, Melbourne, Australia, 31 January-3 February 2023, ACSW '23: Proceedings of the 2023 Australasian Computer Science Week p. 238-239
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  • Description: Causal loop diagrams (CLD) that emerged from systems thinking disciplines have been used to simulate complex inter-dependencies between causal factors in diverse phenomena. This paper highlights a process for generating a casual loop diagrams to represent the quality of electronic health record (EHR) ecosystem in a medical context. The quality inherent in the use of electronic health records for specific clinical purposes is taken to depend on factors including data integrity, reliability, relevance, timeliness and completeness. By improving the electronic health record ecosystem quality, health care providers can enhance their data sharing practices, and personalised patient care, while reducing the probabilities of medical errors. Ultimately the CLD can be used to run multiple simulations for several clinical case scenarios to understand the impact of various case phenomena on the quality of the electronic health record ecosystem. © 2023 ACM.

A study into the impact of data breaches of electronic health records

Classification of methods to reduce clinical alarm signals for remote patient monitoring : a critical review

Clinically prioritized data visualization in remote patient monitoring

Decoding employee ambidexterity : understanding drivers, constraints, and performance implications for thriving in the evolving work landscapes - a scoping review

  • Authors: Joseph, Jane , Firmin, Sally , Oseni, Taiwo , Stranieri, Andrew
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Heliyon Vol. 9, no. 12 (2023), p.
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  • Description: Employee ambidexterity (EA) is becoming increasingly recognised as a significant factor in enhancing individual and organisational performance across diverse industries. Ambidexterity refers to the capacity to exploit and explore organisational resources simultaneously. Scholars from diverse industry sectors have been motivated to delve deeper into the topic of EA due to its growing popularity. The objective of conducting a scoping review was to scrutinise the existing literature and identify the key drivers and constraints that impact EA to thrive in the changing work landscape. The insights gained from this review can assist decision-makers in formulating effective strategies to cultivate the ambidexterity skills of their workforce and achieve desirable outcomes. This review adheres to the PRISMA-ScR protocol. Articles were obtained from databases including Scopus, Web of Science, and EBSCOhost (Academic Search Complete, Business Source Complete). The body of literature concerning EA is in its nascent stage. 23 articles assessing EA's performance outcomes were identified using targeted search terms and thorough screening. After conducting a thorough thematic analysis using the iterative categorisation (IC) technique, tailored for scoping a review, we successfully identified twenty-nine factors contributing to the enhancement of EA, meticulously organised into five distinct categories: organisational factors, social connectedness, employee behaviour, employee personality, and work environment related factors. Similarly, we discovered four factors that impede EA: functional tenure, team identification, bounded discretion, and conscientiousness. Our findings underscore the profound impact of employee ambidexterity on distinct types of performance. Among the sixteen types of performance reported to be enhanced by EA, ten are linked to individual performance, while six are tied to organisational performance. Notably, our analysis revealed that nearly all studies have relied on cross-sectional research methods except for one. However, we advocate for the exploration of longitudinal studies as they hold the promise of offering a more comprehensive understanding of EA. The paper presents valuable insights into how to cultivate ambidextrous capabilities in the workforce for unparalleled success in today's rapidly evolving work environment. Additionally, it identifies several intriguing avenues for future research that could further elucidate and bridge existing knowledge gaps. © 2023

Device agent assisted blockchain leveraged framework for Internet of Things

  • Authors: Nasrullah, Tarique , Islam, Md Manowarul , Uddin, Md Ashraf , Khan, Md Anisauzzaman , Layek, Md Abu , Stranieri, Andrew , Huh, Eui-Nam
  • Date: 2023
  • Type: Text , Journal article
  • Relation: IEEE Access Vol. 11, no. (2023), p. 1254-1268
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  • Description: Blockchain (BC) is a burgeoning technology that has emerged as a promising solution to peer-to-peer communication security and privacy challenges. As a revolutionary technology, blockchain has drawn the attention of academics and researchers. Cryptocurrencies have already effectively utilized BC technology. Many researchers have sought to implement this technique in different sectors, including the Internet of Things. To store and manage IoT data, we present in this paper a lightweight BC-based architecture with a modified raft algorithm-based consensus protocol. We designed a Device Agent that executes a novel registration procedure to connect IoT devices to the blockchain. We implemented the framework on Docker using the Go programming language. We have simulated the framework on a Linux environment hosted in the cloud. We have conducted a detailed performance analysis using a variety of measures. The results demonstrate that our suggested solution is suitable for facilitating the management of IoT data with increased security and privacy. In terms of throughput and block generation time, the results indicate that our solution might be 40% to 45% faster than the existing blockchain. © 2013 IEEE.

Missing health data pattern matching technique for continuous remote patient monitoring

A process-oriented framework for regulating artificial intelligence systems

  • Authors: Stranieri, Andrew , Sun, Zhaohao
  • Date: 2022
  • Type: Text , Book chapter
  • Relation: Handbook of Research on Foundations and Applications of Intelligent Business Analytics p. 96-112
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  • Description: Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately. The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as intelligent mining, intelligent statistical modeling, and machine learning. Covering topics such as augmented analytics and artificial intelligence systems, this major reference work is ideal for scholars, engineers, professors, practitioners, researchers, industry professionals, academicians, and students. Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately. The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as intelligent mining, intelligent statistical modeling, and machine learning. Covering topics such as augmented analytics and artificial intelligence systems, this major reference work is ideal for scholars, engineers, professors, practitioners, researchers, industry professionals, academicians, and students.

A systematic literature review on the evaluation of business simulation games using PRISMA

  • Authors: Faisal, Nadia , Chadhar, Mehmood , Goriss-Hunter, Anitra , Stranieri, Andrew
  • Date: 2022
  • Type: Text , Conference paper
  • Relation: 33rd Australasian Conference on Information Systems: The Changing Face of IS, ACIS 2022, Melbourne, 4-7 December 2022, ACIS 2022 - Australasian Conference on Information Systems, Proceedings
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  • Description: In recent years, organisational software process education has seen a considerable uptick in interest in adopting business simulation games (BSGs) as a novel learning resource. However, the lack of reliable and valid instruments to evaluate simulation learning outcomes inhibits the adoption and progress of simulation in Information System education. To fill this need, we performed a systematic review of 33 empirical studies using the PRISMA declaration approach to identify the different evaluation methods used to analyse BSG learning outcomes. We created a concept matrix using a didactic framework that categorised these assessment methodologies into three game stages (pre-game, in-game and post-game). We established a comprehensive evaluation strategy using this concept matrix, which teachers and researchers may use to choose the best appropriate evaluation method to analyse a wide range of learning outcomes of business simulation games. Copyright © 2022 Faisal, Chadhar, Goriss-Hunter & Stranieri.

Business simulation games in higher education : a systematic review of empirical research

  • Authors: Faisal, Nadia , Chadhar, Mehmood , Goriss-Hunter, Anitra , Stranieri, Andrew
  • Date: 2022
  • Type: Text , Journal article , Review
  • Relation: Human Behavior and Emerging Technologies Vol. 2022, no. (2022), p.
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  • Description: Over the last few years, business simulation games (BSGs) in higher education have attracted attention. BSGs tend to actively engage students with course material, promoting higher engagement and motivation and enabling learning outcomes. Increasingly, researchers are trying to explore the full potential of these games with an upsurge of research in the BSG field in recent years. There is a need to understand the current state of research and future research opportunities; however, there is a lack of recent systematic literature reviews in BSG literature. This study addresses this gap by systematically compiling online empirical research from January 2015 to April 2022. We followed PRISMA guidelines to identify fifty-seven (57) papers reporting empirical evidence of the effectiveness of BSGs in teaching and learning. Findings showed that BSGs improve learning outcomes such as knowledge acquisition, cognitive and interactive skills, and behaviour. The review also summarises different issues concerning the integration of BSGs into the curriculum, learning theories used in the selected studies, and assessment methods used to evaluate student achievement in learning outcomes. The findings of this review summarise the current research activities and indicate existing deficiencies and potential research directions that can be used as the basis for future research into the use of BSGs in higher education. © 2022 Nadia Faisal et al.

Deep learning model to empower student engagement in online synchronous learning environment

  • Authors: Godly, Cinthia , Balasubramanian, Venki , Stranieri, Andrew , Saikrishna, Vidya , Mohammed, Rehena , Chackappan, Godly
  • Date: 2022
  • Type: Text , Conference paper
  • Relation: 19th IEEE India Council International Conference, INDICON 2022, Kochi India, 24-26 November 2022, INDICON 2022 - 2022 IEEE 19th India Council International Conference
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  • Description: Following the start of the pandemic, online synchronous learning has grown significantly. The higher education sector is searching for new creative ways to provide the information online because of the switch from face-to-face to online synchronous course delivery. Students are also becoming accustomed to studying online, and research has shown that synchronous online learning has a variety of effects on student engagement. For instance, according to statistics from the National Survey of Student Engagement, students are less likely to participate in collaborative learning, studentfaculty interactions, and conversations when learning online if they use quantitative reasoning during face-to-face instruction. Additionally, studies suggest that because they depend on their devices to take online classes, students feel more alienated from their lecturers. This has been linked to a drop in contacts with peers and teachers as a result. By using a cutting-edge deep learning model to predict learner engagement behaviour in a synchronous teaching environment, our research intends to improve online engagement. The model with a clever trigger will encourage the disengaged pupils to communicate with the teachers online. Smart triggers will be built around factors that have been found, focusing on disengaged students to engage them in real-time with automatic, personalized feedback. © 2022 IEEE.

Deep reinforcement-based conversational ai agent in healthcare system

  • Authors: Kulkarni, Pradnya , Stranieri, Andrew , Mahableshwarkar, Ameya , Kulkarni, Mrunalini
  • Date: 2022
  • Type: Text , Book chapter
  • Relation: Studies in Computational Intelligence p. 233-249
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  • Description: Conversational AI is a sub-domain of artificial intelligence that deals with speech-based or text-based AI agents that have the capability to simulate and automate conversations and verbal interactions. A Goal Oriented Conversational Agent (GOCA) is a conversational AI agent that attempts to solve a specific problem for the users as per their inputs. The development of Reinforcement Learning algorithms has opened up new opportunities in research related to conversational AI, due to the striking similarity the algorithm bears to the way a conversation takes place. This chapter aims to describe a novel, hybrid conversational AI architecture using Deep Reinforcement Learning that can give state-of-the-art results on the tasks of Intent Classification, Entity Recognition, Dialog Management, State Tracking, Information Retrieval and Natural Language Response Generation. The architecture also consists of external AI modules, focused on carrying out intelligent tasks pertaining to the healthcare sector. The AI tasks that the conversational agent is capable of performing are—Text-based Question Answering, Text Summarization and Visual Question Answering. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Emerging point of care devices and artificial intelligence : prospects and challenges for public health

  • Authors: Stranieri, Andrew , Venkatraman, Sitalakshmi , Minicz, John , Zarnegar, Armita , Firmin, Sally , Balasubramanian, Venki , Jelinek, Herbert
  • Date: 2022
  • Type: Text , Journal article
  • Relation: Smart Health Vol. 24, no. (2022), p.
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  • Description: Risk assessments for numerous conditions can now be performed cost-effectively and accurately using emerging point of care devices coupled with machine learning algorithms. In this article, the case is advanced that point of care testing in combination with risk assessments generated with artificial intelligence algorithms, applied to the universal screening of the general public for multiple conditions at one session, represents a new kind of in-expensive screening that can lead to the early detection of disease and other public health benefits. A case study of a diabetes screening clinic in a rural area of Australia is presented to illustrate its benefits. Universal, poly-aetiological screening is shown to meet the ten World Health Organisation criteria for screening programmes. © Elsevier Inc.

Instructors’ perceptions of the development of work-readiness through simulations

  • Authors: Faisal, Nadia , Chadhar, Mehmood , Goriss-Hunter, Anitra , Stranieri, Andrew
  • Date: 2022
  • Type: Text , Conference paper
  • Relation: 33rd Australasian Conference on Information Systems: The Changing Face of IS, ACIS 2022, Melbourne, 4-7 December 2022, ACIS 2022 - Australasian Conference on Information Systems, Proceedings
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  • Description: The global ERP software market is expected to reach $117.09 billion by 2030 (Biel, July 12, 2022). To boost graduate work-readiness, Australian institutions are adopting new pedagogical strategies by familiarising Information systems (IS) students with this highly sought-after software. One of these techniques is simulation games that provide students with a risk-free, real-world simulation of popular software to develop soft and hard skills needed by the IS industry. This exploratory study employed the Grounded Theory approach to evaluate instructors' perceptions of the influence of simulation games on the work-readiness of information systems students. We conducted semi-structured interviews with (Enterprise Resource Planning Simulation) ERPsim game laboratory instructors. The authors utilised Work Readiness Integrated Competency Model to map the three learning outcomes from the interviews’ analysis: abilities, knowledge, and attitudes. The mapping demonstrated that simulation games could support the development of specific skills and attitudes needed by the information systems sector. Copyright © 2022 Faisal, Chadhar, Goriss-Hunter & Stranieri.

Remote patient monitoring for healthcare : a big challenge for big data

  • Authors: Stranieri, Andrew , Balasubramanian, Venki
  • Date: 2022
  • Type: Text , Book chapter
  • Relation: Research Anthology on Big Data Analytics, Architectures, and Applications Chapter 50 p. 1054-1070
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  • Description: Remote patient monitoring involves the collection of data from wearable sensors that typically requires analysis in real time. The real-time analysis of data streaming continuously to a server challenges data mining algorithms that have mostly been developed for static data residing in central repositories. Remote patient monitoring also generates huge data sets that present storage and management problems. Although virtual records of every health event throughout an individual’s lifespan known as the electronic health record are rapidly emerging, few electronic records accommodate data from continuous remote patient monitoring. These factors combine to make data analytics with continuous patient data very challenging. In this chapter, benefits for data analytics inherent in the use of standards for clinical concepts for remote patient monitoring is presented. The openEHR standard that describes the way in which concepts are used in clinical practice is well suited to be adopted as the standard required to record meta-data about remote monitoring. The claim is advanced that this is likely to facilitate meaningful real time analyses with big remote patient monitoring data. The point is made by drawing on a case study involving the transmission of patient vital sign data collected from wearable sensors in an Indian hospital. © 2022 by IGI Global. All rights reserved.

Revisiting social media in health care : a Bakhtinian carnival perspective

  • Authors: Ukoha, Chukwuma , Stranieri, Andrew
  • Date: 2022
  • Type: Text , Conference paper
  • Relation: 2022 Australasian Computer Science Week, ACSW 2022, Virtual, Online, 14-17 February 2022, ACM International Conference Proceeding Series p. 254-256
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  • Description: Understanding the value of social media in health care has been a conundrum. Much of the literature in this area focuses on the use of social media for promotion, with very few studies seeking to elucidate how social media yields value in health care settings. This article draws on concepts from 18th century linguist Mikhail Bahktin to explain that social media acts like a Carnival in suspension of behavioral norms, and the provision of a forum for the proliferation of diverse dialogues. As a Carnival, social media plays an important role in encouraging dialogues that would not be appropriate within other spaces in the health care system. As such, social media is playing a pivotal role in changing norms toward shared care and patient empowerment. © 2022 ACM.

Third party data service providers can enhance patient-provider interactions : insights from a Delphi study

  • Authors: Hashmi, Mustafa , McInnes, Angelique , Stranieri, Andrew , Sahama, Tony
  • Date: 2022
  • Type: Text , Conference paper
  • Relation: 2022 Australasian Computer Science Week, ACSW 2022, Virtual, Online, 14-17 February 2022, ACM International Conference Proceeding Series p. 224-228
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  • Description: Data sharing between financial services organisations has led to a proliferation of third party data service providers that are not parties to transactions but facilitate interactions between them by analysing, manipulating or storing data related to transactions. This has led to widespread legal, technological and sociocultural changes in that sector broadly described as Open-Banking initiatives. Third party service providers have not emerged in the healthcare sector in the same way. This study reports preliminary results of a Delphi study comprising healthcare and financial experts to explore the extent to which third party providers in healthcare is beneficial and feasible. Ensuring the quality of data service provided by third parties was seen to be a critical success factor. A causal loop model was used to describe the inter-dependent factors underpinning this factor. Further investigations to augment the model with Consumer Data Rights and validate empirically are underway. © 2022 ACM.

A secured real-time IoMT application for monitoring isolated COVID-19 patients using edge computing