NOVEMBER BOOK OF THE MONTH
A Practical Approach to Analyzing Healthcare Data
Lynn Kuehn, MS, RHIA, CCS-P, FAHIMA
A Practical Approach to Analyzing Healthcare Data [With CDROM]
A Practical Approach to Analyzing Healthcare Data [With CDROM]is the perfect starting point for understanding basic data analysis concepts, including where to find healthcare data for comparison purposes. The book provides a basic, HIM-focused overview of statistics meant to orient the student to the subject, rather than providing a full course in statistics. It offers hands-on tools HIM professionals can use to start the analysis process for hospital inpatient data, hospital outpatient data, and physician data. This book is focused on real-life data and problem-solving techniques. Whenever possible, readers are provided with real data or asked to use the Internet to research real, publically available resources. HIM professionals may be unfamiliar with statistical techniques, and statisticians may be unfamiliar with how coded data and classification data are organized. This text can build a bridge between the two most common players in the specialty of data analysis, providing either party with the next level of detail needed to form an effective partnership.
A Practical Approach to Analyzing Healthcare Data
Lynn Kuehn, MS, RHIA, CCS-P, FAHIMA
The Data Analysis "How-To" Guide
A Practical Approach to Analyzing Healthcare Data [With CDROM] A Practical Approach to Analyzing Healthcare Data [With CDROM]is the perfect starting point for understanding basic data analysis concepts, including where to find healthcare data for comparison purposes. The book provides a basic, HIM-focused overview of statistics meant to orient the student to the subject, rather than providing a full course in statistics. It offers hands-on tools HIM professionals can use to start the analysis process for hospital inpatient data, hospital outpatient data, and physician data. This book is focused on real-life data and problem-solving techniques. Whenever possible, readers are provided with real data or asked to use the Internet to research real, publically available resources. HIM professionals may be unfamiliar with statistical techniques, and statisticians may be unfamiliar with how coded data and classification data are organized. This text can build a bridge between the two most common players in the specialty of data analysis, providing either party with the next level of detail needed to form an effective partnership.