Health Informatics Knowledge Management Conference 2024
Data-Driven Clinical Decision-Making
The role of informatics, data analytics and artificial intelligence supporting evidence-based decision-making in health for improved patient outcomes.
The recent astonishing advances in AI have raised serious concerns how Health Care, Health Information, Knowledge Management and our society in general will be affected. At our Health Informatics Knowledge Management Conference we will explore, review and assess these changes and their effects on care decisions he sustainability of healthcare and society.
Conference Program
Please attend the Conference free by Zoom: https://zoom.us/j/9920072007 (no password required)
Day One: Thursday, 1 February 2024
| AEDT | NZ | China | India | EU | US PST | Topic |
| 11:00 | 13:00 | 8:00 | 5:30 | 1:00 | Welcome | |
| 11:10 | 13:00 | 8:00 | 5:30 | 1:00 | Delicate Decisions at the Intersection of Intensive Care and Machine Learning – How Human Information Needs inform the Development of Decision Support (Full Paper – 20m+5m) Tamara Orth, Aloha Ambe, David Lovell & Dimitri Perrin. Australia | |
| 11:35 | From wearable Activity Trackers to Interstitial Glucose: Data to Insight – A proposed Scientific Journey (Short Paper – 10m+5m) Haider Ali, Samaneh Madanain, David White, Malik Naveed Akhter & Imran Khan Niazi. New Zealand | |||||
| 12:00 | EEG Seizure Detection via Wavelet Variance (Short paper – 10m+5m) Paul Grant. Australia | |||||
| 12:15 | ||||||
| 12:40 | Australia Classification of COVID-19 Severity from Cough Audio Signals (Poster – 5m) Asmaa Shati, Amitava Datta and Ghulam Mubashar Hassan. Australia | |||||
| 12:45 | What Physical Examination and Artefacts are conducted during In-Person GP Consultation? Implications for next-generation Design of Virtual Care (Poster – 5m) Moomna Waheed, Annie Lau &Hao Xiong Australia. | |||||
| 13:00 | Emotion Variation Detection in Discrete English Speech: A Wavelet Transform Use Case in Mental Health Monitoring (Short paper – 10m+5m) Adebanji Adeleye, Samaneh Madanian &Olayinka Adeleye. New Zealand | |||||
| 13:15 | Detecting Brain Activity in ADHD Children and Healthy Controls using Machine Learning Techniques (Full Paper – 20m+5m) Priyadarshini Natarajan & Samaneh Madanian New Zealand | |||||
| 13:40 | Fusion of Graph and Natural Language Processing in Predictive Analytics for Adverse Drug Reactions (Short paper – 10m+5m) Fangyu Zhou & Shahadat Uddin Australia. | |||||
| 14:00 | Leveraging Natural Language Processing with genomeNLP: A step-by-step Guide to decipher the Grammar of Genetic Code (Poster – 5m) Tyrone Chen, Navya Tyagi & Sonika Tyagi. Australia. | |||||
| 14:05 | Designing and Adopting a Video-based LINE Chatbot System for Endoscopy Explanation in a Real-world Hospital: A Mixed Method Approach (Full Paper – 20m+5m) Yohei Morita & Zoie Sy Wong Japan | |||||
| 14:30 | EHRs Beyond Silos: AI will transform Manual Therapy Outcomes (Poster – 5m) Wael Mahmoud. Australia | |||||
| 14:35 | ………………………… (Poster – 5m) Farnaz Farid, Abubakar Bello, Fariza Sabrina, Shaleeza Sohail, Fahima Hossain & Farhad Ahamed | |||||
| 14:40 | Efficiency Model Selection in AutoML for CVD Risk Prediction (Poster – 5m) Hongkuan Wang, Raymond Wong & Kwok Leung Ong | |||||
| 14:45 | AI Technologies in Reducing Hospital Readmission for Chronic Diseases: A Recommended Framework (Poster – 5m) …………………………….. | |||||
| 15:00 | The Prof is IN! Ask any question, share any news, suggest any ideas or make any comments! | |||||
| 15:30 | TUTORIAL: EHR-QC – A streamlined pipeline for automated electronic health records standardisation and preprocessing to predict clinical outcomes The integration of electronic health records (EHRs) has opened new avenues for leveraging historical data in predicting clinical outcomes and enhancing patient care. Nonetheless, the existence of non-standardized data formats and anomalies poses significant hurdles in utilising EHRs for digital health research. Additionally, to develop robust and reproducible predictive models, one needs to use data from multiple healthcare sites to account for population-wide variations in their modelling approaches. However, institution-specific data formats and inherent heterogeneity of EHR data hinder seamless data harmonisation. To tackle these issues head-on, we introduce EHR-QC, a comprehensive tool comprising two core modules: the Data Standardization Module and the Pre-processing Module. Associate Professor Sonika Tyagi Dr. Sonika Tyagi is an Associate Professor of Digital Health and Bioinformatics at the School of Computational Technologies, RMIT University Australia. She is also an affiliate Machine Learning lead scientist at Central Clinical School Monash University Australia. Mr Yashpal Ramakrishnaiah Yashpal Ramakrishnaiah is currently pursuing his PhD at Monash University, where he is working on healthcare and data science. | |||||
| 18:30 | 13:00 | Symptoms-Disease Detecting Conversation Agent using Knowledge Graphs (Full Paper – 20m+5m) Ila Ananta, Sonia Khetarpaul & Dolly Sharma India (1.00pm IST) | ||||
| 18:55 | Social Media and Dialogues: Unpacking The Role Of Social Networking Sites In Individualized Care (Full Paper – 20m+5m) Chukwuma Ukoha & Andrew Stranieri. | |||||
| 19:20 | Close of Day One |
Day Two: Friday, 2 February 2024
| AEDT | NZ | China | India | US | EU | Topic |
| 11:00 | 13:00 | 8:00 | 5:30 | Opening of Day Two | ||
| 11:05 | 13:05 | 8:05 | 5:35 | Utilizing Topological Clustering on a Traumatic Brain Injury Cohort: The Association of Neighborhood Socioeconomic Deprivation Profiles with Injury Mortality (Full Paper – 20m+5m) Nelofar Kureshi, David B. Clarke & Syed Sibte Raza Abidi. Canada. | ||
| 11:30 | The Virtual Caregiver: Enhancing Elderly Healthcare Through AI-Powered Voice-Based Conversational Systems (Poster – 5m) John Minicz and Sita Venkatraman. Australia. | |||||
| 11:35 | USA Enhancing Medical History Collection using LLMs (Short paper – 10m+5m) Rohit Kumar, R.K. Gattani & Kavita Singh. | |||||
| 12:00 |  KEYNOTE: Lessons learnt using Robots in an Aged-Care EnvironmentLee Martin – CEO, Tanunda Lutheran Aged Care, Barossa Valley, Australia | |||||
| 13:00 | Simultaneous Auscultation and ECG Recording to automate R-Peak Annotation (Poster – 5m) Jeevan Jangam, Sanjeev Hiremath & Vanitha Math Australia | |||||
| 13:05 | Wechat Use in Health Interventions: a sub-study of Systematic Review of Effects on Health Outcomes in Managing Risk Factors for Secondary Prevention of Cardiovascular Disease (Short paper – 10m+5m) Lu Yang, Chris Lynch & Caroline de Moel-Mandel. Australia | |||||
| 13:20 | A Case-Based Approach for Unravelling the Complex Decision Psychology for Adoption Decisions in Enterprise Health Information Systems (Full Paper – 20m+5m) Yi Lin Jiang, Kevin Kuan & Simon Poon. Australia | |||||
| 13:45 | A Business, Technical and Clinical Canvas Design of Emerging Technology for Brain Injury Cognitive Assessments and Rehabilitation (Poster – 5m) Andrew Stranieri, Darren Walker, Giles Oatley, Tanveer Choudhury, Herbert Jelinek & Md Rafiqul Islam. Australia | |||||
| 14:00 | Clinical Translation of a Heparin-Induced Thrombocytopenia predictor for Intensive Care Patients (Full Paper – 20m+5m) Prabodi Senevirathna, Douglas Pires & Daniel Capurro Australia | |||||
| 14:25 | Analysing Patient Care Events using Sequential Pattern Mining (Poster – 5m) Tony Hoang, Georg Grossmann, Jan Stanek & Markus Stumptner. Australia | |||||
| 14:30 | Adaptive Semantic Framework for CDSS to a new Environment (Short paper – 10m+5m) Gourav Gupta, Jan Stanek, Wolfgang Mayer & Georg Grossman Australia | |||||
| 14:45 | Space War: Investigating the Impact of a Loss Aversion Strategy and Personality Traits in a VR Rowing Exergame (Full Paper – 20m+5m) Zixuan Wang & Burkhard Wuensche New Zealand | |||||
| 15:05 | The Prof is IN! Ask any question, share any news, suggest any ideas or make any comments! | |||||
| 15:30 | TUTORIAL: Decoding the Grammar of DNA using Natural Language Processing DNA is the blueprint defining all living organisms. Therefore, understanding the nature and function of DNA is at the core of all biological studies. Rapid advances in DNA sequencing and computing technologies over the past few decades resulted in large quantities of DNA generated for diverse experiments, exceeding the growth of all major social media platforms and astronomy data combined [1]. However, biological data is both complex and high-dimensional, and is difficult to analyse with conventional methods. Machine learning is naturally well suited to problems with a large volume of data and complexity [2]. In particular, applying Natural Language Processing to the genome is intuitive, since DNA is a natural language. Unique challenges exist in Genome-NLP over natural languages, including the difficulty of word segmentation or corpus comparison. 1 To tackle these challenges, we developed the first automated and open-source genomeNLP workflow that enables efficient and accurate knowledge extraction on biological data [1], automating and abstracting preprocessing steps unique to biology. This lowers the barrier to perform knowledge extraction by both machine learning practitioners and computational biologists. In this tutorial, we will demonstrate how our workflow can be used to address the above challenges, with implications in fields such as personalised medicine [3-4]. Presented by Tyron Chen. Australia. Tyrone Chen is a PhD student in computational biology at Monash University, Australia. Originally Tyrone was a lab biologist, but got interested in machine learning and its applications in the biological sciences, publishing multiple papers and open source software on the subject [1-4]. | |||||
| 18:30 | Exploring the Clinical Value of the International Patient Summary – a Systematic Review (Full Paper – 20m+5m) Djowin Schippers & Robert Stegwee. The Netherlands | |||||
| 18:55 | Research Partners with Lived Experience: Stories from Patients and Survivors (Poster – 5m) Andrew Stranieri, Grant Meredith & Sally Firmin. Australia | |||||
| 19:00 | Conference Close |
If you can’t attend: Get the latest Updates on this and future HIKM Conferences:
Since 2007 HIKM is the leading high-impact conference for Health Information Science researchers across Asia-Pacific and beyond. It is held annually at the same time as the Australasian Computer Science Week and accepted papers are published by the Association for Computing Machinery (ACM).