Applying Business Intelligence to Clinical and Healthcare Organizations

Nonfiction, Health & Well Being, Medical, Reference, Administration, Computers, Application Software, Business Software
Cover of the book Applying Business Intelligence to Clinical and Healthcare Organizations by , IGI Global
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781466698840
Publisher: IGI Global Publication: February 10, 2016
Imprint: Medical Information Science Reference Language: English
Author:
ISBN: 9781466698840
Publisher: IGI Global
Publication: February 10, 2016
Imprint: Medical Information Science Reference
Language: English

Business intelligence (BI) tools are capable of working with healthcare data in an efficient manner to generate real-time information and knowledge relevant to the success of healthcare organizations. Further, BI tools benefit healthcare professionals making critical decisions within hospitals, clinics, and physicians’ offices. Applying Business Intelligence to Clinical and Healthcare Organizations presents new solutions for data analysis within the healthcare sector in order to improve the quality of medical care and patient quality of life. Business intelligence models and techniques are explored and their benefits for the healthcare sector exposed in this timely research-based publication comprised of chapters written by professionals and researchers from around the world. Hospital administrators, healthcare professionals, biomedical engineers, informatics engineers, and students in graduate-level healthcare management programs will find this publication essential to their professional development and research needs.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Business intelligence (BI) tools are capable of working with healthcare data in an efficient manner to generate real-time information and knowledge relevant to the success of healthcare organizations. Further, BI tools benefit healthcare professionals making critical decisions within hospitals, clinics, and physicians’ offices. Applying Business Intelligence to Clinical and Healthcare Organizations presents new solutions for data analysis within the healthcare sector in order to improve the quality of medical care and patient quality of life. Business intelligence models and techniques are explored and their benefits for the healthcare sector exposed in this timely research-based publication comprised of chapters written by professionals and researchers from around the world. Hospital administrators, healthcare professionals, biomedical engineers, informatics engineers, and students in graduate-level healthcare management programs will find this publication essential to their professional development and research needs.

More books from IGI Global

Cover of the book Transforming Gaming and Computer Simulation Technologies across Industries by
Cover of the book Handbook of Research on Virtual Training and Mentoring of Online Instructors by
Cover of the book Driving Customer Appeal Through the Use of Emotional Branding by
Cover of the book Encouraging Participative Consumerism Through Evolutionary Digital Marketing by
Cover of the book Dynamic Perspectives on Globalization and Sustainable Business in Asia by
Cover of the book E-Health and Telemedicine by
Cover of the book Social, Economic, and Political Perspectives on Public Health Policy-Making by
Cover of the book Complementary and Alternative Medicine and Kidney Health by
Cover of the book The Morality of Weapons Design and Development by
Cover of the book Student Experiences and Educational Outcomes in Community Engagement for the 21st Century by
Cover of the book Advanced Mobile Technologies for Secure Transaction Processing by
Cover of the book Intercultural Relations and Ethnic Conflict in Asia by
Cover of the book Global Perspectives on Human Migration, Asylum, and Security by
Cover of the book Next Generation Content Delivery Infrastructures by
Cover of the book Grid Technologies for E-Health by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy