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Optimizing Hospital Resource Utilization Using Power BI Analytics
Authors
1 2 3 4 Department of Computer Science & Engineering, Institute of Technology and Management Gida Gorakhpur, Uttar Pradesh, India.
Article Information
- DOI
- No DOI
- Published In
- Volume 7, Issue 1 (2026)
- Published Online
- January-February 2026
- Pages
- 109-116
- Article Type
- Original Article
- Check for updates
- No DOI available for cross-reference
References
1. Commission P: Impacts of advances in medical technology in Australia. Productivity Commission, Government of Australia Research
Reports 2005.
2. Tan L, Ong K. The Impact of Medical Technology on Healthcare Today. Hong Kong J Emerg Med. 2002;9(4):231–6.
3. Verma BL, Srivastava RN. Measurement of the Personal Cost of Illness due to Some Major Water-Related Diseases in an Indian
Rural Population. Int J Epidemiol. 1990;19:169–76. doi:10.1093/ije/19.1.169.
4. Pandey A, Ploubidis GB, Clarke L, Dandona L. Trends in catastrophic health expenditure in India: 1993 to 2014. Bull World Hea lth
Organ. 2018;96(1):18.
5. Harper, P. R. (2002). A framework for operational modelling of hospital resources. Health Care Management Science.6. McManus, M. L., Long, M. C., Cooper, A., & Litvak, E. (2003). Variability in surgical caseload and access to intensive care services.
Anesthesiology.
7. Dowding, D., Randell, R., Gardner, P., Fitzpatrick, G., & Hardiker, N. (2015). Dashboards for health care professionals: A review of
the literature. International Journal of Medical Informatics.
8. Prybutok, V., Spinks, N., & Luo, X. (2018). Implementing dashboards to improve hospital performance. International Journal of
Healthcare Management.
9. Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: Promise and potential, Health Information Science and
Systems.
10. Litvak, E., Fineberg, H. V., Long, M. C., & McManus, M. (2005). Managing patient flow in hospitals: Strategies and solutions. Joint
Commission Journal on Quality and Patient Safety.
Reports 2005.
2. Tan L, Ong K. The Impact of Medical Technology on Healthcare Today. Hong Kong J Emerg Med. 2002;9(4):231–6.
3. Verma BL, Srivastava RN. Measurement of the Personal Cost of Illness due to Some Major Water-Related Diseases in an Indian
Rural Population. Int J Epidemiol. 1990;19:169–76. doi:10.1093/ije/19.1.169.
4. Pandey A, Ploubidis GB, Clarke L, Dandona L. Trends in catastrophic health expenditure in India: 1993 to 2014. Bull World Hea lth
Organ. 2018;96(1):18.
5. Harper, P. R. (2002). A framework for operational modelling of hospital resources. Health Care Management Science.6. McManus, M. L., Long, M. C., Cooper, A., & Litvak, E. (2003). Variability in surgical caseload and access to intensive care services.
Anesthesiology.
7. Dowding, D., Randell, R., Gardner, P., Fitzpatrick, G., & Hardiker, N. (2015). Dashboards for health care professionals: A review of
the literature. International Journal of Medical Informatics.
8. Prybutok, V., Spinks, N., & Luo, X. (2018). Implementing dashboards to improve hospital performance. International Journal of
Healthcare Management.
9. Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: Promise and potential, Health Information Science and
Systems.
10. Litvak, E., Fineberg, H. V., Long, M. C., & McManus, M. (2005). Managing patient flow in hospitals: Strategies and solutions. Joint
Commission Journal on Quality and Patient Safety.
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