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Introduction

While many Health Care Organizations define and understand that an individual’s wellbeing consists of more than just direct health care, there has been very little effort to measure the relations between these structures effectively. Although many surveys are taken, they provide limited data, are costly, only provide a snapshot in time, and contain too few variables. Does the reduction in the social gap of a population lead to improved health and wellbeing? If so, then what factors provide the most good? Most countries, even the developed countries, cannot improve all the basic services such as education, employment, and environmental at the same time. 

Medical research often takes the form of clinical trials in which data from specific patient interactions are pooled and analyzed in order to learn about the new treatments and to gain insight into disease processes that are not otherwise well understood. Medical researchers are constrained today by clumsy methods for acquiring the data needed for clinical trials, generally relying on manual capture of information onto datasheets that are later transcribed into computer databases for statistical analysis. The approach is labor intensive, fraught with opportunities for error, and adds to the high costs associated with randomized prospective research protocols.

Often, by the time that the results are obtained, it may be too late! The “evidence-based guidelines” in monographs or journal articles tend to sit on shelves, unavailable when the knowledge they contain would be most valuable to practitioners.

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