Demonstrably doing accountability in e-health: practical processes - PowerPoint PPT Presentation

October 2019 Demonstrably doing accountability in e-health: practical processes and tools Peter Leonard Principal, Data Synergies Pty Limited Professor of Practice, UNSW Business School 1

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Source: Peter Cullen and Information Accountability Foundation February 2018 Data as business driver and risk 3

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Algorithmic accountability BINGO 8

Source: Australian Computer Society data sharing White Paper (forthcoming, Oct 2019 9

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Source: Australian Computer Society data sharing White Paper (forthcoming, Oct 2019 13

Source: Australian Computer Society data sharing White Paper (forthcoming, Oct 2019 14 14

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Smartphones and IOT Data Issues Cubed 16

Wheat and chaff, good and bad • owners, custodians and • ‘data isn't oil‘ - harvesting v stewards: value creation asset and liability • the human factor • observed data and − transformation and 'digital exhaust‘ insights • volunteered, − algorithms, processes and transformed, methodologies curated and inferred 17 data

Is data your best asset (that you never own)? • rights and duties of custodians and stewards • end-to-end data governance • contracts, trade secrets, IP ownership, privacy and trust • relative confidentiality • differential privacy, labs and clean rooms • supply and demand side data ecosystems • (unilateral) contracts 18

Data Analytics Project Review Framework Cost Commercialisation Phase Source: Data Synergies January 2019 Application Development Phase Discovery Phase Time Gate 1 Gate 2 Gate 3 Post-Imp Review Data Impact Assessment Outputs (Agile) Outcomes Feedback and improvement Ethics Review (if Human Research) Assessment Assessment, 19 Revise DIA + ER check DIA + ER