.decimal® Products - q.d

q.d Logo

q.d is one of the nine .decimal® initiatives, which serves as a comprehensive Compensator-Based IMRT commissioning program, IMRT delivery capability assessment, and a unique IMRT delivery benchmarking tool.

The q.d mission, quality.decimal®, is to close the gap between the IMRT treatment plan and actual IMRT delivery. Ultimately, q.d will provide clinicians from around the world a web portal that will enable facilities to benchmark their current IMRT delivery capabilities against our entire database of q.d subscribers and therefore enhancing the standard of IMRT delivery.

Who does q.d benefit?

The clinic/hospital

Through the use of specialized tools and equipment, q.d measures a clinic’s current state, identifies the factors that negatively impact the quality of IMRT delivery, and implements improvements that can bring the clinic closer to what we call Plan = Actual.

Plan = Actual is the embodiment of the idea, What You See Is What You Get. When a hospital or clinic is treating with Plan = Actual, they can move forward with the knowledge that the treatment plans they are creating will be translated accurately into real world therapy.

The patient

Every cancer patient has something in common. They rely on a team of radiation oncology professionals to diagnose them accurately, plan their treatment precisely, and treat them effectively. In turn, our customers look to .decimal® with the same high level of trust and confidence to get the job done exceptionally.

The industry as a whole

The true strength of q.d is the willingness to strive for continuous improvement in the IMRT industry. As q.d is implemented in more facilities, we not only gain the data necessary to improve the delivery of IMRT, but also the knowledge that patients around the world will be treated safely and more reliably.

Advantages

  • Easy, on-site three day implementation
  • Assurance of Plan = Actual
  • Benchmarking with other .decimal® clinics
  • Developed from Six Sigma SPC principles

How is q.d implemented?

In order for q.d to be successful, it has to be a stable, repeatable process; it attempts to eliminate as many variables as possible. q.d is a documented process that uses well-defined steps, tests, and equipment. At a high level, q.d can be broken down into five steps, with user training and data benchmarking happening throughout several or all of these steps (Figure 1).


Figure 1. The implementation process of q.d