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Statistics & Data Analytics for Health Data Management
87% of respondents would recommend this to a friend
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Introducing Statistics & Data Analytics for Health Data Management -an engaging new text that emphasizes the easy-to-learn, practical use of statistics and manipulation of data in the health care setting.
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What Stands Out
Detalles de producto
- Emphasizes the practical use of statistics and data manipulation in the health care setting with real-world examples
- Addresses key HIM Associate Degree-Entry Level competencies required by CAHIIM and covered in the RHIT exam
- Features a student-centered approach with a friendly, engaging writing style and a four-color design with visuals
- Includes math review, brief case scenarios, takeaway boxes, stat tip boxes, and integrated exercises for hands-on learning
- Provides comprehensive resources for self-study, including answers to exercises, brief case scenarios, and review questions
- Comes with instructor resources such as TEACH lesson plans, PowerPoint slides, classroom handouts, and a 500-question Test Bank in ExamView
| Publisher | Saunders |
| Publication date | February 9, 2016 |
| Edition | 1st |
| Language | English |
| Print length | 264 pages |
| ISBN-10 | 1455753157 |
| ISBN-13 | 978-1455753154 |
| Item Weight | 7.6 ounces (215.46 grams) |
| Dimensions | 8.5 x 0.5 x 10.8 inches (21.6 x 1.3 x 27.4 cm) |
Who Should Buy?
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Health Data Managers
Professionals in health data management looking to enhance their analytical skills and improve data-driven decision-making.
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Students in Health Sciences
Undergraduates or graduates studying health sciences who need a comprehensive resource on statistics and data analytics.
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Healthcare Analysts
Individuals in healthcare analytics roles seeking practical applications of statistical tools in health data management.
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Beginners in Statistics
Individuals with no background in statistics may find the content too advanced and challenging to grasp.
DESCRIPCIÓN DEL PRODUCTO
Statistics & Data Analytics for Health Data Management
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Bioinformatics Editorial Review
The "Statistics & Data Analytics for Health Data Management" book presents itself as an essential resource for nursing students, illustrated by its comprehensive content and readability. Many users commend the inclusion of real-world healthcare scenarios to elucidate complex concepts, making them more relatable and accessible. The book's printing quality is also noted positively, reflecting a well-produced physical representation of the text. However, in addressing its content, some readers find the vocabulary challenging, indicating that clearer definitions and explanations would bolster the learning experience. Despite this linguistic hurdle, those with a foundational knowledge of statistics can navigate the material effectively, as evidenced by one reader who succeeded academically after utilizing the book. The Kindle version attracts criticism for its formatting issues. Readers report poor text presentation, hindering the digital experience and diminishing its value, particularly when the ebook is priced similarly to the print edition. Furthermore, errors in formulas and examples have been identified, raising questions about the accuracy of some of the instructional content. In summary, while the book offers valuable insights into health data management through statistics, potential readers should weigh its Pros and Cons, particularly regarding the comprehension of vocabulary and digital presentation. **
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ventajas
- Comprehensive content tailored for learning nursing students.
- Inclusion of real-world healthcare scenarios to enhance understanding.
- Good printing quality of the physical book.
Contras
- Complex vocabulary may pose challenges for some readers.
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características y beneficios
- Emphasis on practical use of statistics and manipulation of data in health care
- Real-world examples and brief case scenarios for better understanding
- Meets key HIM Associate Degree-Entry Level competencies
- Friendly writing style and four-color design with ample visuals
- Math review chapter and integrated exercises for self-study
- Comprehensive glossary and instructor resources available
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