Degree

Master of Business Administration

Faculty / School

Faculty of Business Administration (FBA)

Advisor

Dr. Mohammad Asad Ilyas

Project Coordinator (Internal)

Dr. Nasir Afghan, Dr. Asad Ilyas

Project Coordinator (External)

Syed Sohail, Muhammad Yusuf, Rehanullah Baig, Nida Husain

Client

AKUH

Committee Member 1

Asad Ilyas, Institute of Business Administration, Karachi

Project Type

MBA Research Project

Keywords

https://ir.iba.edu.pk/do/search/?q=Aga%20Khan%20University%20Hospital%2C%20Pakistan&start=0&context=22553187&facet=">Aga Khan University Hospital, Pakistan, Radiology, Capacity utilization, MRI

Abstract / Summary

Aga Khan University Hospital has been expanding its facilities since 2008 to cater to the increase healthcare services demand. This has resulted in an increase in patient load on all allied departments such as radiology, laboratory etc. The Emergency Room capacity has been increased by 100% with plans to increase in-patient capacity by 20% by the year end. The department of Radiology has plans to install additional units of MRI and CT Scan Machines by the end of 2012. The student project is multifaceted in nature touching on operations, finance and marketing disciplines. Following are the research objectives: - Recommend ways to maximize capacity utilization of existing set-up and highlight areas of improvement in operational practices - Recommend ways to increase the number of referrals from AKUH-based physicians and outside referrals from physicians - Develop differential pricing strategy to increase patient footprint using revenue models. The project methods include Team Interviews, Data Mining, Observation of Work Practice, Scheduling and Queuing, Time and Motion Study, Patient Survey and Sensing. Following are the conclusions of the study: Many interdependencies and a general lack of coordination were observed in MRI and CT scan operations. Machine Idle time was not being monitored especially in MRI procedures. Operational Staff was reluctant to schedule appointments after 7 pm. Data generated from the operations was not used for sophisticated reporting. Complex of the procedures prevent the modeling of an individual procedures’ cost.

Available for download on Tuesday, December 31, 2030

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