Unseen algorithms in healthcare
Ngā hātepe hauora kua kore e kitea
Tuesday 9 February 2021
While predictive models have been published in the medical literature for decades, the digitization of healthcare combined with increased computational power and access to data have led to rapid expansion in bedside implementation of models supporting medical decision-making.
The revised National Ethical Standards for Health and Disability Research and Quality Improvement (December 2019) and the Algorithm Charter for Aotearoa New Zealand (July 2020) guide government and researchers in using artificial intelligence, but regulation of software as a medical device (SaMD) is in its infancy. The current onus to ensure transparency, fairness, and efficacy of medical decision-making algorithms reside in the developer and the clinical end-user.
This course offers an overview of technical, ethical, cultural, and governance issues in healthcare algorithms to help minimize the risk of harm while maximizing the benefit in the development and use of decision-support apps, on-line calculators and embedded medical software.
- Dr Matthew Strother, Clinical Lead Oncology, Canterbury DHB and Senior Clinical Lecturer, University of Otago
- Ms Rochelle Style, MBHL (Distinction) and LLB (Hons)
- Dr Donna Cormack (Kai Tahu, Kāti Mamoe) Senior Researcher Fellow, Te Rōpū Rangahau Hauora a Eru Pōmare, University of Otago Wellington and Senior Lecturer at Te Kupenga Hauora Māori, University of Auckland
- Dr Paul Hansen, Professor of Economics, University of Otago
- Dr Kevin Ross, CEO, Precision Driven Health
- Mr Jon Herries, Emerging Health Technology & Innovation, Data and Digital, Ministry of Health
- Dr Prageeth Jayathissa, Data Scientist Institute for Innovation and Improvement (i3) Waitematā DHB.
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