Data ethics and digital privacy in learning health systems for palliative medicine /
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...
Sábháilte in:
| Rannpháirtithe: | , , , |
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| Formáid: | Leictreonach Ríomhleabhar |
| Teanga: | Béarla |
| Foilsithe / Cruthaithe: |
Bingley, U.K. :
Emerald Publishing Limited,
2023.
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| Sraith: | Studies in media and communications ;
v. 23. |
| Ábhair: | |
| Rochtain ar líne: | https://doi.org/10.1108/S2050-2060202323 |
| Clibeanna: |
Cuir clib leis
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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Clár na nÁbhar:
- 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.