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A Total Quality Management (TQM) approach can be used to analyze data from biomedical optical and imaging
platforms of tissues. A shift from individuals to teams, partnerships, and total participation are necessary from health
care groups for improved prognostics using measurement analysis. Proprietary measurement analysis software is
available for calibrated, pixel-to-pixel measurements of angles and distances in digital images. Feature size, count, and
color are determinable on an absolute and comparative basis. Although changes in images of histomics are based on
complex and numerous factors, the variation of changes in imaging analysis to correlations of time, extent, and
progression of illness can be derived. Statistical methods are preferred. Applications of the proprietary measurement
software are available for any imaging platform. Quantification of results provides improved categorization of illness
towards better health.
As health care practitioners try to use quantified measurement data for patient diagnosis, the techniques reported can be
used to track and isolate causes better. Comparisons, norms, and trends are available from processing of measurement
data which is obtained easily and quickly from Scientific Software and methods. Example results for the class actions of
Preventative and Corrective Care in Ophthalmology and Dermatology, respectively, are provided. Improved and
quantified diagnosis can lead to better health and lower costs associated with health care. Systems support improvements
towards Lean and Six Sigma affecting all branches of biology and medicine.
As an example for use of statistics, the major types of variation involving a study of Bone Mineral Density (BMD) are
examined. Typically, special causes in medicine relate to illness and activities; whereas, common causes are known to be
associated with gender, race, size, and genetic make-up. Such a strategy of Continuous Process Improvement (CPI)
involves comparison of patient results to baseline data using F-statistics. Self-parings over time are also useful. Special
and common causes are identified apart from aging in applying the statistical methods. In the future, implementation of
imaging measurement methods by research staff, doctors, and concerned patient partners result in improved health
diagnosis, reporting, and cause determination. The long-term prospects for quantified measurements are better quality in
imaging analysis with applications of higher utility for heath care providers.
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