Doctor Anupama Ginige

Doctor Anupama Ginige

Associate Dean, Engagement,
Dean's Unit Computer, Data & Mathematical Sciences

Senior Lecturer In Health Informatics,
Computer and Ict

Biography

As a senior lecturer, within the School of Computing, Engineering and Mathematics; I am teaching, managing projects and conducting applied research in areas that bring together IT and other sectors such as health and manufacturing.

I started as an IT researcher in 2003, exploring cascading effects of organisational process changes in IT systems. I used Klnee Algebra with Tests (KAT) to model the propogaing impact of process changes. The models created with KAT not only allowed understanding the propagating impact, but also to capture process and resource dependencies in a comprehensive manner. My in-depth knowledge related to process analysis was then applied to another project in manufacturing domain, which explored the process optimisations to reduce carbon footprint in manufacturing sector, which led to a successful PhD completion, under my spervision. Currently, I am researching on how process mining and machine learning techniques can be used in healthcare sector.

As part of my teaching duties, presently I am teaching units in the area of Health Informatics and final year computing capstone projects. In relation to capstone unit teaching, I have been researching into improving the student learning through project involvement. Further, I have also developed an extensive marking tool that facilitates awarding individual marks in a group setting, based on peer, client, supervisor and academic evaluations.  

Since 2015, I have been working on two major projects within the health IT domain.

Fristly, I am the IT Lead in the Australian Consoritum for Classification Development (ACCD). ACCD is contract by Independent Hospital Pricing Authority (IHPA) for the development of Classification System and International Classification of Diseases – version 10 Australian Modification (ICD-10-AM), Australian Health Interventions (ACHI) and Australian Coding standards (ACS). My involvement in ACCD allowed me to participate and contribute to WHO-FIC (WHO Family of International Classifications) activities through the Australian collaboration centre (AIHW -Australian Institute of Health and Welfare).

Secoindly, I am leading the IT development tasks of a major fully online trial named ‘Maintain Your Brian’ funded by NHMRC and led by UNSW. This project has paved way to research into various online technologies that can be used to measure the health of a person and seamless integration of diverse software systems into a single system.

My close involvement in health informatics area has led me to be involved in a number of professional committees. These include Research Advisory Committee for HIMAA (Health Information Management Association of Australia), Tertiary Education sub-committee of HIMAA, and NHMRC National Institute for Dementia Research expert panel on IT. Further, I am contributing to the ISO standard development of Classification Mark-up Language (CLaML), which is led by the Germen Institute for Medical Documentation and Information.

Over the past 14 years as an academic, I have developed a number of units in postgraduate and undergraduate ICT courses. Further, I was the Director of Academic program of PG-ICT (2013-2014) and Course Advisor for bachelor of ICT (2011-2012). As a DAP, I have completed a successful overhaul PG in ICT courses within Western Sdyney University and taken the courses through a successful accreditation process.

This information has been contributed by Doctor Ginige.

Qualifications

  • PhDCompInfoTech University of Western Sydney
  • Solution Consultant SAP Global
  • MInfoTech University of Western Sydney
  • BSc University of Peradeniya

Professional Memberships

  • HIMAA Research Advisory Committee (2016 - 2017)
  • HIMAA Tertiary Education Sub Committee (2015 - 2017)

Awards

  • Highly Commended for University Engagement in Vice Chancellors Awards 2008-12-05
  • Excellence in Teaching UWS Learning and Teaching Awards 2014-12-09

Interests

  • Education and training of Health Information Managers
  • Health Informatics
  • Machine Learning for Clinical Coding
  • Process Mining and Optimisation
  • Process Modelling and Automation

Organisational Unit (School / Division)

  • Dean's Unit Computer, Data & Mathematical Sciences
  • Computer and Ict

Contact

Email: j.Ginige@westernsydney.edu.au
Phone: (02) 9685 9439
Mobile:
Location: ER.1.13
Parramatta

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Teaching

Previous Teaching Areas

  • 300566 Introduction to Health Informatics, 2018
  • 300579 Professional Experience, 2018
  • 300900 Professional Experience (Advanced), 2018
  • 300951 Clinical Classification and Coding, 2018
  • 301178 Advanced Health Classifications and Coding, 2018
  • 300582 Technologies for Web Applications, 2014
  • 300578 Professional Development, 2010
  • 300692 Workflow Management Systems, 2016
  • 300583 Web Systems Development, 2014
  • 301005 Professional Practice and Communication, 2015
  • 300955 Healthcare Data Environments, 2018
  • 300597 Master Project 1, 2018
  • 300598 Master Project 2, 2018
  • 301047 ICT Practicum, 2017

Publications

Books

  • Ginige, J. (2009), 'Change Impact Analysis to Manage Process Evolutions: Managing Process Evolutions in Web-Based Workflow Management Systems', : VDM Verlag Dr. Muller Aktiengesellschaft & Co. KG 9783639171860.

Chapters in Books

  • Ginige, J., Boulamatsis, C., Heffernan, M., San Jose, J., Chuprov, I., Chau, T., Maeder, A., Valenzuela, M., Fiatarone Singh, M., Mavros, Y., Noble, Y., Radd-Vagenas, S., Guerrero, Y., Jain, N., O'Leary, F., Kochan, N. and Brodaty, H. (2020), 'Fully-online, interoperable clinical trial management system for multi-interventional RCT : Maintain Your Brain digital platform ', Information Technology Based Methods for Health Behaviours: Selected Papers from Global Telehealth 2019, IOS Press 9781643680583.

Journal Articles

  • Walton, C., Lampit, A., Boulamatsis, C., Hallock, H., Barr, P., Ginige, J., Brodaty, H., Chau, T., Heffernan, M., Sachdev, P., Fiatarone Singh, M. and Valenzuela, M. (2019), 'Design and development of the Brain Training System for the digital "Maintain Your Brain" dementia prevention trial', JMIR Aging, vol 2, no 1 .
  • Heffernan, M., Andrews, G., Fiatarone Singh, M., Valenzuela, M., Anstey, K., Maeder, A., McNeil, J., Jorm, L., Lautenschlager, N., Sachdev, P., Ginige, J., Hobbs, M., Boulamatsis, C., Chau, T., Cobiac, L., Cox, K., Daniel, K., Flood, V., Guerrero, Y. and Brodaty, H. (2019), 'Maintain your brain : protocol of a 3-year randomized controlled trial of a personalized multi-modal digital health intervention to prevent cognitive decline among community dwelling 55 to 77 year olds', Journal of Alzheimer's Disease, vol 70 , pp 221 - 237.
  • Tran, M., Ginige, J. and Boulamatsis, C. (2018), 'Evaluation of visualisation techniques for meaningful representation of clinical classification data sets', Studies in Health Technology and Informatics, vol 252 , pp 145 - 150.
  • Kaur, R. and Ginige, J. (2018), 'Comparative evaluation of accuracy of selected machine learning classification techniques for diagnosis of cancer : a data mining approach', World Academy of Science, Engineering and Technology, vol 12, no 2 , pp 19 - 25.
  • Smith, R., Ginige, J. and Boulamatsis, C. (2018), 'Representation of ICD-10-AM/ACHI using Classification Markup Language (ClaML)', Studies in Health Technology and Informatics, vol 252 , pp 126 - 131.
  • Kaur, R. and Ginige, J. (2018), 'Comparative analysis of algorithmic approaches for auto-coding with ICD-10-AM and ACHI', Studies in Health Technology and Informatics, vol 252 , pp 73 - 79.
  • Ginige, J. (2017), 'Health Information Managers and the future needs of e-health', HIM-Interchange, vol 7, no 1 , pp 8 - 13.
  • Brodaty, H., Heffernan, M., Fiatarone Singh, M., Valenzuela, M., Andrews, G., Lautenschlager, N., Anstey, K., Maeder, A., Jorm, L., McNeil, J., Ginige, J., Chau, T. and Sachdev, P. (2017), 'Maintain your brain : a randomised controlled trial of an internet-based multi-component lifestyle intervention to prevent cognitive decline and dementia', Alzheimer's and Dementia, vol 13, no 7 , pp 1216 - 1216.
  • Ginige, A., Liang, X., Marmaridis, I., Ginige, J. and De Silva, K. (2007), 'Smart Tools to Support Meta-Design Paradigm for Developing Web Based Business Applications', Lecture Notes in Computer Science, vol 4607 , pp 521 - 525.

Conference Papers

  • Bjering, H. and Ginige, J. (2020), 'Targeted health information delivery framework : validation of staging engine and healthcare practitioners feedback', Australasian Computer Science Week Multiconference, Melbourne, Vic..
  • Shafruddin, H. and Ginige, J. (2020), 'An algorithmic approach to create bi-directional mapping files between ICD-10 and ICD-10-AM', Australasian Computer Science Week Multiconference, Melbourne, Vic..
  • Bjering, H., Stratti, D. and Ginige, J. (2019), 'Design and implementation of a framework for a health information survey system', Australasian Conference on Health Informatics and Knowledge Management, Macquarie University, Sydney, N.S.W..
  • Kaur, R. and Ginige, J. (2019), 'Analysing effectiveness of multi-label classification in clinical coding', Australasian Conference on Health Informatics and Knowledge Management, Macquarie University, Sydney, N.S.W..
  • Knudson, D., Ginige, J. and Avazpour, I. (2019), 'Resources facilitating international capstone experiences', Australasian Computing Education Conference, Sydney, N.S.W..
  • Rajvir Kaur, R. and Ginige, J. (2019), 'Voice-controlled clinical coding companion (VC4) for ICD-10-AM and ACHI code assignment', Australasian Computer Science Week Multiconference, Melbourne, Vic..
  • Kaur, R. and Ginige, J. (2019), 'Distributed knowledge-based computer-assisted clinical coding system', Health Information Management Association of Australia. Conference, Parramatta, N.S.W..
  • Knudson, D., Kalafatis, S., Kleiner, C., Zahos, S., Seegebarth, B., Detterfelt, J., Avazpour, I., Sandahl, K., Gorder, P., Ginige, J., Radermacher, A., Caballero, H., Gomez, H. and Roos, M. (2018), 'Global software engineering experience through international capstone project exchanges', International Conference on Global Software Engineering, Gothenburg, Sweden.
  • Kaur, R. and Ginige, J. (2018), 'Will auto-coding be a reality anytime soon?', Health Information Management Association of Australia/National Centre for Classification in Health National Conference, Hobart, Tas..
  • Irfan, M. and Ginige, J. (2018), 'Comparative study of medical reference and information mobile apps for healthcare professionals and students', Global Telehealth (Conference), Colombo, Sri Lanka.
  • Prodan, A., Liyanage, L. and Ginige, J. (2017), 'Exploring cannulation process in chemotherapy through a computer simulation', International Conference on Computational Modeling and Simulation, Colombo, Sri Lanka.
  • Smith, R., Ginige, J., Tran, M., O'Donnell, A. and Boulamatsis, C. (2017), 'Mapping ICD-10-AM map to ICD-11 using flat-file maps', WHO/Family of International Classifications Network. Annual Meeting, Mexico City, Mexico.
  • O'Donnell, A., Ginige, J., Smith, R., Tran, M. and Boulamatsis, C. (2017), 'API for ICD-10-AM/ACHI classification data access and 'on the fly' ICD-11 mapping', WHO/Family of International Classifications Network. Annual Meeting, Mexico City, Mexico.
  • Tran, M., Ginige, J., O'Donnell, A., Smith, R. and Boulamatsis, C. (2017), 'ClaML for representation of ICD-10-AM and ACHI : the Australian experience', WHO/Family of International Classifications Network. Annual Meeting, Mexico City, Mexico.
  • Poultney, N., Maeder, A. and Ginige, J. (2016), 'Health behaviour change through computer games : characterising interventions', Global Telehealth (Conference), Auckland, N.Z..
  • Wesumperuma, A., Ginige, A., Ginige, J. and Hol, A. (2015), 'Green activity based reporting for organizational business process management', Asia-Pacific Conference on Sustainable Energy and Environmental Technology, Korea.
  • Ginige, J., Maeder, A. and Long, V. (2014), 'Evaluating success of mobile health projects in the developing world', Global Telehealth (Conference), Durban, South Africa.
  • Wesumperuma, A., Ginige, A., Ginige, J. and Hol, A. (2013), 'Green activity based management (ABM) for organisations', Australasian Conference on Information Systems, Melbourne, Vic..
  • Kolell, A. and Ginige, J. (2011), 'Workflow management issues in virtual enterprise networks', , .
  • Wesumperuma, A., Ginige, J., Ginige, A. and Hol, A. (2011), 'A framework for multi-dimensional business process optimization for GHG emission mitigation', Proceedings of the Australiasian Conference on Information Systems ACIS 2011, Sydney, Australia.
  • Kolell, A. and Ginige, J. (2010), 'Workflow management issues in virtual enterprise networks', 12th International Conference on Enterprise Information Systems, Funchal, Portugal.
  • Ginige, J. and Ginige, A. (2009), 'An Algorithm for Propagating-Impact Analysis of Process Evolutions', 3rd International United Information Systems Conference- UNISCON 2009, Sydney, Australia.
  • Lan, Y. and Ginige, J. (2008), 'Towards criteria based allocation of capstone projects for an enhanced learning experience', 2008 International Conference on Computer Science and Software Engineering, Wuhan, China.
  • Sumanadasa, S. and Ginige, J. (2008), 'A framework to enhance email based business processes', 2008 Fourth International Conference on Information and Automation for Sustainability (ICIAfS?08), Sri Lanka.
  • Ginige, J. and Ginige, A. (2007), 'Challenges and Solutions in Process Automation in Tertiary Education Institutes: An Australian Case Study', 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), Melbourne, Australia.
  • Ginige, J., Ginige, A. and Sirinivasan, U. (2007), 'CAD model of Process Elements: Towards Effective Management of Process Evolution in Web-based Workflows', 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), Melbourne, Australia.
  • Ginige, J. and Ginige, A. (2007), 'Meta Model for Tracing Impact of Contextual Information Evolution in Web-based Workflows', 9th International Conference on Enterprise Information Systems (ICEIS 2007), Funchal, Portugal.
  • Ginige, J., Ginige, A. and Sirinivasan, U. (2007), 'KAT based CAD Model of Process Elements for Effective Management of Process Evolution', 2nd International Workshop on Technologies for Collaborative Business Management (TCoB 2007), Funchal, Madeira, Portugal.
  • Ginige, J., Srinivasan, U. and Ginige, A. (2006), 'A Mechanism for Efficient Management of Changes in BPEL based Business Processes: An Algebraic Methodology', IEEE International Conference on e-Business Engineering, Shanghai, China.
  • Ginige, J., De Silva, K. and Ginige, A. (2005), 'Towards End User Development of Web Applications for SMEs: A Component Based Approach', 5th International Conference on Web Engineering, Sydney, Australia.
  • Marmaridis, I., Ginige, J., Arunatileka, S. and Ginige, A. (2004), 'Architecture for Evolving and Maintainable Web Information Systems', IRMA International Conference, New Orleans, Louisiana, USA.
  • Marmaridis, I., Ginige, J. and Ginige, A. (2004), 'Web based architecture for Dynamic eCollaborative work', The 16th International Conference on Software Engineering & Knowledge Engineering (SEKE 2004), Alberta, Canada.
  • Ginige, J. and Lan, Y. (2003), 'Succeeding in digital business: Investigation of hurdles for e-transiting micro companies', ISOneWorld Conference, Las Vegas, USA.
  • Deshpande, Y., Ginige, J. and Ginige, A. (2002), 'Web site auditing : first step towards re-engineering', International Conference on Software Engineering and Knowledge Engineering, Ischia, Italy.

I am a health informatician, as I appreciate the practical application of academic research for the common good of the human kind. I became interested in health informatics in 2015, when I was given the responsibility of managing a project related to clinical classification and coding. This project opened my eyes to the world of Health + ICT (information and communication technologies) and its potential to for the growth and serve people. The healthcare systems around the world and in Australia are at infancy when compared to other sectors such as banking, in the application of ICT for the service delivery. With current ubiquitous technologies, a person should be able to carry their health data on the palm of their hand, just like their bank record; but we are far from that, due to lack of application of technology in health domain.  With this view, I am working on several projects related to Health + ICT.

Smart Capturing of Healthcare Data

Currently, there is a heavy reliance on clinicians to record healthcare data into IT systems.  This often leads to loss or incorrect capture of health data at the point of care. Also, health data is not always created at the presence of a clinician, but there is enormous amount of data generated outside the clinical setting that would be valuable for clinicians to make decisions. Therefore, this projects attempts explore the application of technologies to smart capture of data reducing redundancies of data capturing and improving accuracy of data.

 

Machine Learning and Deep Learning Technologies for Healthcare Decision Making

There is vast amount of healthcare data collected at the point of care and outside the care setting. Synthesising all this data to provide precision medicine cannot be done by a human, unless the analytical power of computers is used. Therefore, it has been the interest of the researchers to apply the well understood machine learning and deep learning techniques in healthcare domain. This not only provides the opportunity to provide precision medicine, but also to uncover hidden knowledge that can lead to much preferred preventative care.

 

Education of Health Informaticians

Health and ICT courses are inherently in the opposites when it comes to attraction of potential students. Generally, ICT degrees tend to be dominated by male students, while the health and care domains mostly attract female students. In this view, training health informaticians remains to be a challenge.

Other Research Interests:

-       Project based learning and teaching

-       Process and workflow optimisation

-       New age learning

 

This information has been contributed by Doctor Ginige.

Current Projects

Title: OATS Online - Risk Factors, early diagnosis, and effective interventions for neurocognitive disorders
Funder:
  • University of New South Wales
Western Researchers: Anupama Ginige, Igor Chuprov and Chris Boulamatsis
Years: 2019-06-03 - 2022-09-03
ID: P00025930

Previous Projects

Title: AR-DRG Classification System Development and Refinement Services
Funder:
  • University of Sydney
Western Researchers: Anupama Ginige
Years: 2013-07-01 - 2018-05-31
ID: P00024551
Title: AR-DRG - Classification System Development and Refinement Services
Funder:
  • Independent Hospital Pricing Authority
Western Researchers: Anupama Ginige
Years: 2017-10-06 - 2019-08-30
ID: P00024571
Title: Investigating Process Modelling Mechanisms to Measure and Compute Carbon Emission of Organisational Processes
Funder:
  • University of Western Sydney
Western Researchers: Anupama Ginige
Years: 2008-09-24 - 2011-03-23
ID: P00016344
Title: Chemotherapy Nursing Resources Utilisation Model
Funder:
  • Hunter New England Local Health District
Western Researchers: Ante Prodan and Anupama Ginige
Years: 2015-08-24 - 2016-05-27
ID: P00024382

Supervision

Current Supervision

Thesis Title: Using Deep Learning to support Australian Implementation of ICD-10 Clinical Coding.
Field of Research:
Thesis Title: Impact of Information and Communication Technology investments on staff work satisfaction within the tertiary education sector.
Field of Research:
Thesis Title: Improving the Dietary Habits of the Elderly Using ICT
Field of Research:

Previous Supervision

Thesis Title: Multi-Dimensional Business Process Optimisation for Greenhouse Gas (GHG) Emissions Management
Field of Research: Information Systems; Artificial Intelligence; Environmental Studies Not Elsewhere Classified; Other Engineering And Related Technologies
Thesis Title: A Comparative Analysis of Selected Set of Natural Language Processing (NLP) and Machine Learning (ML) Algorithms for Clinical Coding using Clinical Classification Standards
Field of Research: Information Systems Not Elsewhere Classified
Thesis Title: Comparative Analysis of Healthcare Messaging Standards for Interoperability of eHealth systems
Field of Research: Information Systems Not Elsewhere Classified

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