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OverviewThough 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 historical foundations for decision making for patients in underrepresented populations, which lead to palliative patients being subjected to uneven quality of care and an absence of treatment goals due to a lack of advocacy and other challenges. Data Ethics and Digital Privacy in Learning Health Systems for Palliative Medicine reviews the ethical foundations that drive our approach, data collection (public data, private data and data privacy), data stratification methodologies to support marginalized and intersectional populations, analysis techniques, algorithmic development to maintain privacy, survival analysis, result interpretation, LHS development, and LHS implementation. These methodologies address the HIPAA Privacy Rule, which clearly establishes the standard to protect digitally held health care data. Informing both research and practice, Data Ethics and Digital Privacy in Learning Health Systems for Palliative Medicine brings attention to an important issue that lies at the intersection of medicine, science, and digital technology and communication. Full Product DetailsAuthor: Virginia M. Miori (Saint Joseph’s University, USA) , Daniel J. Miori (Erie County Medical Center, USA) , Flavia Burton (Saint Joseph’s University, USA) , Catherine G. Cardamone (Saint Joseph's University, USA)Publisher: Emerald Publishing Limited Imprint: Emerald Publishing Limited Weight: 0.381kg ISBN: 9781802623109ISBN 10: 1802623108 Pages: 176 Publication Date: 15 November 2023 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsChapter 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. MioriReviewsAuthor InformationVirginia M. Miori is a Full Professor and Chair of the Decision and System Sciences Department in the Haub School of Business at Saint Joseph's University, USA. Daniel J. Miori, MS PA-C, is a physician assistant and author. He works on the Palliative and Supportive Care team and is on the ethics committee at Erie County Medical Center in Buffalo, NY, USA. Flavia Burton is Assistant Professor of Practice with the Department of Decision and System Sciences (DSS) in the Haub School of Business at Saint Joseph's University, USA. Catherine G. Cardamone is Adjunct Professor with the Department of Decision and System Sciences (DSS) in the Haub School of Business at Saint Joseph's University, USA. Tab Content 6Author Website:Countries AvailableAll regions |
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