Data ethics and digital privacy in learning health systems for palliative medicine

• Other Authors: Miori, Virginia M. (Editor), Miori, Daniel J. (Editor), Burton, Flavia (Editor), Cardamone, Catherine G. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Bingley, U.K. : Emerald Publishing Limited, 2023.
• Series: Studies in media and communications ; v. 23.
• Subjects: Data privacy.; Information technology > Moral and ethical aspects.; Palliative treatment > Information technology.; elektronické knihy; electronic books
• ISBN: 9781802623116
• DOI: 10.1108/S2050-2060202323
• Physical Description: 1 online resource (248 pages).

Though algorithms are chosen to eliminate bias in the Learning Health Systems (LHS) that support medical decision making, we are left with unconscious bias present in data due to lack of representation for marginalized populations, particularly in palliative care. Medical practitioners often lack hi...

Table of Contents:

• Chapter 1. Making the case / Daniel J. Miori
• Chapter 2. Privacy and learning health systems / Daniel J. Miori
• Chapter 3. Shaping the continuum of care through public policy and data / Thomas R. Martin
• Chapter 4. Public data sources: Cleaning and wrangling / Virginia M Miori
• Chapter 5. Public data sources: Sizing the palliative population / Virginia M Miori
• Chapter 6. Private data sources, data privacy and data simulations for palliative lhs / Virginia M Miori
• Chapter 7. Synthea descriptive analysis / Virginia M Miori
• Chapter 8. Palliative lhs analysis / Virginia M Miori
• Chapter 9. Data repository design for public data analysis / Brian W. Segulin
• Chapter 10. Palliative lhs development and api to ensure data privacy / Brian W. Segulin
• Chapter 11. Learning health systems ethics review / Daniel J. Miori.