Timely information and education can enhance the ability of consumers to make informed choices about their health, lifestyle and modifiable disease risk factors. Due to its unstructured and varied format, and lack of targeted delivery methods, information and knowledge does not often reach consumers, when they need it most. The aim of this project is
The paper presents an approach that applies social network theory to understand chronic disease progression. Submitted to the Australasian Workshop on Health Informatics and Knowledge Management https://cs.anu.edu.au/conf/acsw2016/sub-confs/hikm.html Author(s): Arif Khan, Shahadat Uddin and Uma Srinivasan
A patient-centric approach to healthcare leads to an informal social network among medical professionals. This chapter presents a research framework to: identify the collaboration structure among physicians that is effective and efficient for patients; discover effective structural attributes of a collaboration network that evolves during the course of providing care; and explore the impact of
The healthcare sector deals with large volumes of electronic data related to patient services. This article describes two novel applications that leverage big data to detect fraud, abuse, waste, and errors in health insurance claims, thus reducing recurrent losses and facilitating enhanced patient care. The results indicate that claim anomalies detected using these applications help
Srinivasan, U. “Anomalies Detection in Healthcare Services” Using several practical examples of cost and quality-of-care outliers, the author presents a framework to detect outliers and anomalies in healthcare services. Author(s): Srinivasan, U. View Paper
Speaker: Benjamin Daniels, UNSW Seminar Date: Tuesday October 24 12:00pm Brief abstract: Background: Metastatic cancer and its treatment are conceptualised in terms of “stages”. Clinical trials and most observational research are concerned with what is often just one stage out of several. In this project we attempt to use routinely collected Australian administrative health data to associate survival outcomes
Speaker: Michael Sheng Seminar Date: Tuesday October 10 12:00pm Short Bio: Michael Sheng is a professor at Macquarie University, Sydney, since 1 January 2017. Dr. Michael Sheng was a full Professor and Deputy Head of the School of Computer Science at the University of Adelaide. Michael holds a PhD degree in computer science from the University of New South
Speaker: Kelsey Chalmers, University of Sydney Seminar Date: Tuesday August 15 12:00pm Brief abstract: Decisions regarding health care funding and how to get value for our health care dollars are highly political. In this lecture, I will discuss the motivation and evidence for Australia’s Medicare Benefits Schedule (MBS) Review, how it’s been established, and stakeholders’ involvement and reaction to
Speaker: Henry Cutler, Macquarie University Seminar Date: Tuesday August 8 12:00pm Brief abstract: Publically funded elective surgery patients in Australia have little informed choice when seeking hospital care. They have limited information on hospital quality and are generally directed towards their local public hospital, where they are treated by doctors nominated by the hospital. International research suggests patients want
Speaker: Le (Lyla) Zhang, Macquarie Graduate School of Management Seminar Date: Tuesday July 25 12:00pm Brief abstract: Health care is a credence good, and its market is plagued by asymmetric information. In this study, we use a laboratory experiment to investigate whether a two-part tariff pricing (TPT) and a separation of prescription and treatment activities (SPD) can mitigate the