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1. |
Record Nr. |
UNINA9910741381103321 |
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Autore |
Siles Ignacio |
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Titolo |
Living with algorithms : agency and user culture in Costa Rica / / Ignacio Siles |
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Pubbl/distr/stampa |
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Cambridge, Massachusetts : , : The MIT Press, , [2023] |
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ISBN |
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0-262-37420-X |
0-262-37419-6 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (235 pages) |
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Collana |
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The information society series |
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Disciplina |
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Soggetti |
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Artificial intelligence - Social aspects - Costa Rica |
Algorithms - Social aspects - Costa Rica |
Information society - Costa Rica |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Intro -- Contents -- Acknowledgments -- 1. Datafication -- Datafication and Algorithmic Power -- Enacting Algorithms in Daily Life -- Mutual Domestication -- Algorithmic Platforms in Latin America -- Why Costa Rica? -- Research Design -- Overview of the Book -- 2. Personalization -- Algorithmic Interpellation on Netflix -- The Personification of Spotify -- Building a Personal Relationship with TikTok's Algorithms -- Concluding Remarks -- 3. Integration -- Integrating Cultural Sources to Watch Netflix -- Integrating Cultured Capacities through Spotify's Recommendations -- Integrating Relations across Platforms through TikTok -- Concluding Remarks -- 4. Rituals -- Of Rituals and Recommendations on Netflix -- Affect, Rituals, and Playlists on Spotify -- Boredom and Personalization on TikTok -- Concluding Remarks -- 5. Conversion -- Conversion as Sharing Recommendations on Netflix -- Conversion as Public Intimacy on Spotify -- Conversion as Attachment through TikTok -- Concluding Remarks -- 6. Resistance -- Claiming Identity against Netflix's Biases -- Deconfiguring the Spotify User -- Revealing TikTok's Political Project -- Concluding Remarks -- 7. Mutual Domestication -- Recognizing the Purposes of Algorithmic Determinism -- Five Dynamics of Mutual Domestication -- Cyclicity -- Algorithms in Costa Rican Culture -- Algorithms as Costa Rican Culture -- The Multiplicity of Datafication -- |
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Appendix: Research Design -- Study 1: Netflix (2017-2018) -- Study 2: Spotify (2018) -- Study 3: Netflix (2019-2020) -- Study 4: Spotify (2019-2020) -- Study 5: TikTok (2020) -- References -- Index. |
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Sommario/riassunto |
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"How people in Costa Rica live with algorithms in their daily life"-- |
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2. |
Record Nr. |
UNINA9910781795903321 |
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Autore |
Kalra Jay |
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Titolo |
Medical errors and patient safety [[electronic resource] ] : strategies to reduce and disclose medical errors and improve patient safety / / Jay Kalra |
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Pubbl/distr/stampa |
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Berlin, : De Gruyter, c2011 |
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ISBN |
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1-283-16629-1 |
9786613166296 |
3-11-024950-2 |
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Descrizione fisica |
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1 online resource (128 p.) |
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Collana |
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Classificazione |
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Disciplina |
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Soggetti |
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Medical errors - United States |
Patient safety |
Patients - Safety measures - United States |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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An overview and introduction to concepts -- Perceptions of medical error and adverse events -- Causes of medical error and adverse events -- Medical error and strategies for working solutions in clinical diagnostic laboratories and other health care areas -- Creating a culture for medical error reduction -- Improving quality in clinical diagnostic laboratories -- Barriers to open disclosure -- International laws and guidelines addressing error and disclosure -- The value of autopsy in detecting medical error and improving quality -- Total quality management, six-sigma, and health care. |
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Sommario/riassunto |
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Is the reporting of medical errors changing? This book shows with real cases from health care and beyond that most errors come from flaws in the system. It also shows why they don't get reported and how medical |
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error disclosure around the world is shifting away from blaming people, to a "no-fault" model that seeks to improve the whole system of care. The book intends to provide an introduction to medical errors that result in preventable adverse events. It will examine issues that stymie efforts made to reduce preventable adverse events and medical errors, and will moreover highlight their impact on clinical laboratories and other areas, including educational, bioethical, and regulatory issues. Varying error rates of 0.1-9.3% in clinical diagnostic laboratories have been reported in the literature. While it is suggested that fewer errors occur in the laboratory than in other hospital settings, the quantum of laboratory tests used in healthcare entails that even a small error rate may reflect a large number of errors. The interdependence of surgical specialties, emergency rooms, and intensive care units - all of which are prone to higher rates of medical errors - with clinical diagnostic laboratories entails that reducing error rates in laboratories is essential to ensuring patient safety in other critical areas of healthcare. The author maintains that many such errors are preventable provided that appropriate attention is paid to systemic factors involved in laboratory errors. This book identifies possible intelligent system approaches that can be adopted to help control and eliminate these errors. It is a valuable tool for physicians, clinical biochemists, research scientists, laboratory technologists and anyone interested in reducing adverse events at all levels of healthcare processes. |
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