Data-guided healthcare decision-making:
How does data evidence matter in decision-making in healthcare? How do you implement and maintain cost effective healthcare operations? Do decision trees help to sharpen decision making? This book will answer these questions, demystifying the many questions by clearly showing how to analyse data and...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2023
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| Schlagworte: | |
| Zusammenfassung: | How does data evidence matter in decision-making in healthcare? How do you implement and maintain cost effective healthcare operations? Do decision trees help to sharpen decision making? This book will answer these questions, demystifying the many questions by clearly showing how to analyse data and how to interpret the results – vital skills for anyone who will go on to work in health administration in hospitals, clinics, pharmaceutical or insurance industries. Written by an expert in health and medical informatics, this book introduces readers to the fundamentals of operational decision making by illustrating the ideas and tools to reach optimal healthcare, drawing on numerous healthcare data sets from multiple sources. Aimed at an audience of graduate students and lecturers in Healthcare Administration and Business Administration courses and heavily illustrated throughout, this book includes up-to-date concepts, new methodologies and interpretations using widely available software: Excel, Microsoft Mathematics, MathSolver and JASP. |
| Beschreibung: | xli, 486 Seiten Illustrationen, Diagramme |
| ISBN: | 9781009212014 100921201X |
Internformat
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| 520 | |a How does data evidence matter in decision-making in healthcare? How do you implement and maintain cost effective healthcare operations? Do decision trees help to sharpen decision making? This book will answer these questions, demystifying the many questions by clearly showing how to analyse data and how to interpret the results – vital skills for anyone who will go on to work in health administration in hospitals, clinics, pharmaceutical or insurance industries. Written by an expert in health and medical informatics, this book introduces readers to the fundamentals of operational decision making by illustrating the ideas and tools to reach optimal healthcare, drawing on numerous healthcare data sets from multiple sources. Aimed at an audience of graduate students and lecturers in Healthcare Administration and Business Administration courses and heavily illustrated throughout, this book includes up-to-date concepts, new methodologies and interpretations using widely available software: Excel, Microsoft Mathematics, MathSolver and JASP. | ||
| 650 | 4 | |a Medical bioinformatics / BIC2 | |
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Datensatz im Suchindex
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| id | DE-604.BV049043791 |
| illustrated | Illustrated |
| index_date | 2024-07-03T22:19:47Z |
| indexdate | 2024-07-10T09:53:39Z |
| institution | BVB |
| isbn | 9781009212014 100921201X |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034306279 |
| oclc_num | 1385430250 |
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| owner | DE-355 DE-BY-UBR |
| owner_facet | DE-355 DE-BY-UBR |
| physical | xli, 486 Seiten Illustrationen, Diagramme |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Cambridge University Press |
| record_format | marc |
| spelling | Shanmugam, Ramalingam Verfasser (DE-588)1115195662 aut Data-guided healthcare decision-making Ramalingam Shanmugam Cambridge Cambridge University Press 2023 xli, 486 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier How does data evidence matter in decision-making in healthcare? How do you implement and maintain cost effective healthcare operations? Do decision trees help to sharpen decision making? This book will answer these questions, demystifying the many questions by clearly showing how to analyse data and how to interpret the results – vital skills for anyone who will go on to work in health administration in hospitals, clinics, pharmaceutical or insurance industries. Written by an expert in health and medical informatics, this book introduces readers to the fundamentals of operational decision making by illustrating the ideas and tools to reach optimal healthcare, drawing on numerous healthcare data sets from multiple sources. Aimed at an audience of graduate students and lecturers in Healthcare Administration and Business Administration courses and heavily illustrated throughout, this book includes up-to-date concepts, new methodologies and interpretations using widely available software: Excel, Microsoft Mathematics, MathSolver and JASP. Medical bioinformatics / BIC2 Epidemiology & medical statistics / BIC2 Medical administration & management / BIC2 Erscheint auch als Online-Ausgabe 978-1-009-21202-1 (DE-604)BV049098344 |
| spellingShingle | Shanmugam, Ramalingam Data-guided healthcare decision-making Medical bioinformatics / BIC2 Epidemiology & medical statistics / BIC2 Medical administration & management / BIC2 |
| title | Data-guided healthcare decision-making |
| title_auth | Data-guided healthcare decision-making |
| title_exact_search | Data-guided healthcare decision-making |
| title_exact_search_txtP | Data-guided healthcare decision-making |
| title_full | Data-guided healthcare decision-making Ramalingam Shanmugam |
| title_fullStr | Data-guided healthcare decision-making Ramalingam Shanmugam |
| title_full_unstemmed | Data-guided healthcare decision-making Ramalingam Shanmugam |
| title_short | Data-guided healthcare decision-making |
| title_sort | data guided healthcare decision making |
| topic | Medical bioinformatics / BIC2 Epidemiology & medical statistics / BIC2 Medical administration & management / BIC2 |
| topic_facet | Medical bioinformatics / BIC2 Epidemiology & medical statistics / BIC2 Medical administration & management / BIC2 |
| work_keys_str_mv | AT shanmugamramalingam dataguidedhealthcaredecisionmaking |