20152019

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Personal profile

Biography

Dr Agnes Haryanto is a Research Fellow in the Data Visualisation and Immersive Analytics Lab (DVIA Lab) at the Faculty of IT, Monash University, Australia. She completed her PhD from Monash University, with a research focus on Spatial and Graph Databases. She has more than five years of experience in tertiary education and research. Her research interests include Big Data Management, Data Engineering, Geospatial Databases, and Health Informatics.

Research interests

There has been an extensive adoption of digital clinical and information systems in Australian hospitals in the past years in order to improve healthcare quality and safety. Despite this digital transformation, there continue to be gaps in how the clinical data is obtained, processed, and shared among clinicians and those responsible for clinical decision making, quality improvement, safety assurance and accreditation in a near real-time manner. The current clinical data is possibly not as relevant and useful as possible when it reaches the clinicians and management team. In response to this issue, Agnes' research focuses on designing and evaluating live streaming clinical analytics and reporting dashboards for quality improvement and hospital accreditation in an Australian digital hospital.

Monash teaching commitment

Dr Agnes Haryanto has experience as the Lecturer for the following units in the Faculty of IT:

  • FIT3003 - Business Intelligence and Data Warehousing
  • FIT3176 - Advanced Database Design
  • FIT5136 - Software Engineering
  • FIT5137 - Advanced Database Technology
  • FIT5195 - Business Intelligence and Data Warehousing

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Doctor of Philosophy, Monash University

Research area keywords

  • Digital Health
  • Data Management
  • Data Visualisation

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