4allDoctors has a patent-pending mathematical process that transforms the way medical data are analyzed. We have modeled patient data as a series of vectors, which makes the data quantifiable, measurable, and ultimately actionable.  We are turning difficult-to-process medical data into a malleable mathematical model, which can accurately assess and evaluate medical treatment outcomes. With this model, medical data are transformed to make them usable across a wide variety of platforms and industries. The vector mapping is a conversion of subjective and categorical data into a mathematically nimble structure. Now the rich reservoir of non-quantitative medical data can be analyzed and investigated quantitatively.

The vector form lends itself well to complex analytic algorithms. We have the ability to evaluate medical data from more patients and the ability to analyze more components of their experience, which were previously inaccessible due to their subjective and qualitative nature of the data gathered. This mapping will enable patient samples to approach the size of the entire US population to accelerate more large scale and comprehensive data analyses. There can never be too much medical data, and our paradigm shift will open the doors for an entire new way at looking at medical procedures, treatments and outcomes.  


We can manipulate the medical visit by transforming information gathered about the patient into usable data that can be quantified and measured. This enables the data to become actionable.

Thus codes, which are used to just look things up, specifically a medical condition, diagnosis and or procedure, can now be manipulated so that they have the ability to analyze, quantify and compose this data via the vector mapping. 

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The patent transforms each code into a vector, which is quantifiable data structure which is integrated into high-level computer languages, specifically java. The medical visit is modeled as a vector. The codes modeled as vectors now enable us to compare past and present medical visits to garner treatment information.

The billing data can be used for historic treatment data. The current medical visits can be compared with the data enabling doctors in difficult situations to garner treatment ideas from past success and failures.

We can license the data to the insurance companies for enhanced fraud analysis and for patient life cycle analysis for a more detailed evaluation of the effectiveness of specific medical treatments.



One of the challenges of our current medical system is that the limited population data collected are applied to all individuals. These limited data come from a limited sample of patients, and individual patients may not be well represented by the patient samples we have studied.

Patients get treatments based on clinical data that has only been tested on a small segment of the population that might not fit their own profile. This leaves doctors to do a lot of guesswork when it comes to diagnosing and treating patients. will take the guesswork out of patient data.