This paper is in the following e-collection/theme issue:

Advanced Data Analytics in eHealth (133) Digital Health, Telehealth and e-Innovation in Clinical Settings (401) Public Health (197) Visualization in eHealth (58) eHealth Infrastructures (345)

Published on in Vol 2, No 2 (2014): Jul-Dec

Using Business Intelligence to Analyze and Share Health System Infrastructure Data in a Rural Health Authority

Using Business Intelligence to Analyze and Share Health System Infrastructure Data in a Rural Health Authority

Using Business Intelligence to Analyze and Share Health System Infrastructure Data in a Rural Health Authority

Authors of this article:

Waqar Haque1 Author Orcid Image ;   Bonnie Urquhart2 Author Orcid Image ;   Emery Berg3 Author Orcid Image ;   Ramandeep Dhanoa3 Author Orcid Image
Article Authors Cited by (14) Tweetations (1) Metrics

Journals

  1. Kortüm K, Müller M, Kern C, Babenko A, Mayer W, Kampik A, Kreutzer T, Priglinger S, Hirneiss C. Using Electronic Health Records to Build an Ophthalmologic Data Warehouse and Visualize Patients' Data. American Journal of Ophthalmology 2017;178:84 View
  2. Kortüm K, Müller M, Hirneiß C, Babenko A, Nasseh D, Kern C, Kampik A, Priglinger S, Kreutzer T. „Smart eye data“. Der Ophthalmologe 2016;113(6):469 View
  3. Islam S, Anand S, Hamid J, Thabane L, Beyene J. Comparing the performance of linear and nonlinear principal components in the context of high-dimensional genomic data integration. Statistical Applications in Genetics and Molecular Biology 2017;16(3) View
  4. Kao H, Yu M, Masud M, Wu W, Chen L, Wu Y. Design and evaluation of hospital-based business intelligence system (HBIS): A foundation for design science research methodology. Computers in Human Behavior 2016;62:495 View
  5. Chishtie J, Marchand J, Turcotte L, Bielska I, Babineau J, Cepoiu-Martin M, Irvine M, Munce S, Abudiab S, Bjelica M, Hossain S, Imran M, Jeji T, Jaglal S. Visual Analytic Tools and Techniques in Population Health and Health Services Research: Scoping Review. Journal of Medical Internet Research 2020;22(12):e17892 View
  6. Chishtie J, Bielska I, Barrera A, Marchand J, Imran M, Tirmizi S, Turcotte L, Munce S, Shepherd J, Senthinathan A, Cepoiu-Martin M, Irvine M, Babineau J, Abudiab S, Bjelica M, Collins C, Craven B, Guilcher S, Jeji T, Naraei P, Jaglal S. Interactive Visualization Applications in Population Health and Health Services Research: Systematic Scoping Review. Journal of Medical Internet Research 2022;24(2):e27534 View
  7. Wang J, Omar A, Alotaibi F, Daradkeh Y, Althubiti S. Business intelligence ability to enhance organizational performance and performance evaluation capabilities by improving data mining systems for competitive advantage. Information Processing & Management 2022;59(6):103075 View
  8. Haas O, Hutzler M, Egginger T, Maier A, Rothgang E. Automating Time-Consuming and Error-Prone Manual Nursing Management Documentation Processes. CIN: Computers, Informatics, Nursing 2021;39(10):584 View
  9. Nabovati E, Farrahi R, Sadeqi Jabali M, Khajouei R, Abbasi R. Identifying and prioritizing the key performance indicators for hospital management dashboard at a national level: Viewpoint of hospital managers. Health Informatics Journal 2023;29(4) View
  10. Wang Z, Craven C, Syed M, Greer M, Seker E, Syed S, Zozus M. Clinical Data Warehousing: A Scoping Review. Journal of the Society for Clinical Data Management 2024;5(2) View

Books/Policy Documents

  1. Haque W. Tomorrow's Learning: Involving Everyone. Learning with and about Technologies and Computing. View
  2. Sturmberg J. Health System Redesign. View
  3. Sturmberg J. Neugestaltung des Gesundheitssystems. View