Prof. Nilmini Wickramasinghe
Professor Digital Health & Deputy Director Iverson Health Innovation Research Institute
Swinburne University of Technology & Epworth HealthCare
Digital Healthcare Day One: Wednesday, 30 September 2020
Tuesday, January 1st, 2019
10:10 AM Great Debate: Artificial Intelligence in Healthcare: Does it Facilitate or Dehumanise the Patient Experience?
Artificial intelligence (AI) has huge potential to transform healthcare as we know it. But despite the potentially significant efficiency savings it promises, is it the right way to go? What’s more, how do we ensure the human touch currently given isn’t lost in AI’s advancement?
Watch two teams battle it out as they debate the whether AI facilitates or endangers the relationship between the clinician and patient.
5:00 PM Interstate Panel Discussion: Understand and Overcome Common Barriers to Digital Change to Ensure a Successful Transformation Journey
Digital change is both a technical and clinical challenge with common barriers to change. However, these barriers can be mitigated by treating digital projects as change (not IT) projects. Learn how to overcome barriers such as:
- Intergenerational differences in digital literacy, health leadership and adaptability
- Physical and environmental challenges around adapting and retrofitting devices, physical space and maintenance
- Status quo and the fear of technology
- Preconceived ideas of digital and the idea that digital is an ‘option’
- Change fatigue to ensure positive engagement through the transformation journey
Patient Experience Day One: Wednesday, 30 September 2020
Wednesday, March 25th, 2020
2:00 PM INTERACTIVE SESSION: Panel Discussion: Improving Clinical Decision Making by Ensuring the Objectivity and Validity of Patient Data
Data has the potential to provide improved clinical decision making and a superior patient experiences. However, while data seems to promise objectivity, the pursuant analysis is typically replete with subjective interpretation. This panel will discuss the fundamentals of ensuring the validity and objectivity of patient experience data and analysis.
Learn how to:
- Choose sources of data for objectivity – including Patient Reported Outcome Measures (PROMS) and Patient Reported Experience Measures (PREMS) – and how you can build on PROMS and PREMS to contribute valuable and high quality data to clinicians
- Be objective towards the data we already have while recognising bias in data
- Justify adequate funding for specific data sources by eliminating the subjectivity in what sources of data are good sources of data
- Engage patients to define relevant meaningful data and metrics from the patient’s perspective