A Computerized System for Tracking Clinical Engineering Outcomes
using Statistical Process Control
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Since, healthcare is an ever-changing environment, it is vital for each institution to be prepared to face and consequently conquer technological future advancements in medicine. This can be accomplished by careful selection of appropriate indicators which are essential to measure the performance and quality of processes and their improvements. Statistical process control (SPC) is a key approach to quality improvement. Control charts, central to SPC, are used to visualize and analyze the performanceindicators over time.In this study, SPC principles were incorporated into .NET Framework on MS W...
Since, healthcare is an ever-changing environment, it is vital for each institution to be prepared to face and consequently conquer technological future advancements in medicine. This can be accomplished by careful selection of appropriate indicators which are essential to measure the performance and quality of processes and their improvements. Statistical process control (SPC) is a key approach to quality improvement. Control charts, central to SPC, are used to visualize and analyze the performanceindicators over time.In this study, SPC principles were incorporated into .NET Framework on MS Windows to design and develop a control system for clinical engineering departments in hospitals. With the use of the software developed, clinical engineering departments' processes were analyzed using real time SPC techniques (X control chart and Cusum control chart), which permitted monitoring, controlling and improving the implementation of different quality and performance indicators through analysis. This expert system enables the user to be notified of any potential problems, just in time to implement various techniques for their improvement.
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