Statistical Quality and Process Control is a strategy and a set of methods for improving the quality and safety of your systems, processes and outcomes.
This approach is data-driven.
This methodology has its foundations in the theory of variation. The stats-based control incorporates the concepts of:
- Analytic study
- Process Improvement
- Prevention and safety control
- Stability of processes
- Capability of processes
- Prediction of process outcome
Statistical methods are based on measurements and data collection. Graphical and simple numerical methods are the primary tools used in Statistical Process Control.
We believe that a data-driven approach should be at the heart of your quality control strategy because:
- It has a great potential to improve quality of service in all processes
- The use of this methodology is gaining popularity around the world and is becoming the “best practice” for quality and safety control.
- SPC is simple to understand and apply in all your processes.
Data collection and measurement is fundamental. There are different approaches to measurement and choice of measures.
Often, we hear that measuring quality is a difficult task. Not for an external, specialized company.
overning bodies require healthcare organizations to monitor and control the level of quality of their services and delivered products. Hospitals are legally responsible for monitoring the care provided. This is the basis of the accreditation process. Analytica is not an accreditation agency but is the fundamental step to obtain accreditation.
We will discuss and implement the best quality assurance strategy. We also implement the strategy that you choose, with our advice.