Healthcare Quality Evaluation Models using Big Data
Healthcare involves offering quality, which encompasses different definitions for clients, professionals, managers, policy makers and payers. As such, quality improvement methods require a tactical, well-studied approach supported by accurate data collection and analysis to solve its problems.
Introduction
The healthcare industry faces multifaceted challenges in delivering quality care. Factors such as increasing patient loads, rising costs, and the complexity of medical data necessitate innovative approaches to enhance healthcare quality. Integrating Lean Six Sigma (LSS) methodologies with Big Data analytics presents a promising solution to these challenges.
Understanding Lean Six Sigma in Healthcare
Lean Six Sigma (LSS) allows us to work on developing and improving systematic processes to tackle the multi-dimensional challenges and problems with healthcare quality. While Big Data involves techniques dealing with large and complex data sets that are difficult to deal with using traditional data processing software.
