This is a work in progress site with some pages opened, and others expected to open in the months ahead, once the dust settles in terms of its corporate culture value . . . 


Please leave your comments on this page.


For more information on this subject, in particular a detailed history and my original pages on this work, go to

Personal Note

The following are the locations of companies I have been in discussions with in one way shape or form over the past two years about GISing Big Data.  These are all companies that have some form of responsibility for developing a GIS as part of their engagement with EMR, EHR, HIN, HIT, MCD, MCR, CHP and other programs linked to the new health care program designed.

Meaningful use requires serve as the preparatory process for developing a better HIN.  This lack of participation more than likely represents the resistance health care insurance programs, PBMs and similar HIN companies have to implementing the much needed changes that are due.  In spite of the cost of these changes, the overall purpose of HIN and MU is to demonstrate a value to the health care programs being provided to those who are insured.  Companies routinely measure their success by sales and a few very limited metric tools designed by overseers like HEDIS and NCQA.

The routine repetition of these programs excludes a substantial percentage of the population from being reviewed.    The development of a very fast running NPHG program increases the number of metrics to be evaluated significantly, and includes diseases and diagnoses routinely ignored by these processes.  NPHG is designed to perform a more complete review of the population being care for, without the preferences design by the other systems used to manage specific diseases, and specific SES and poverty stricken populations.  The focus is not just on a few to several chronic diseases for example.  It is a review of all chronic diseases in terms of quality of care.

The sites depicted on the map below that have a color other than yellow demonstrate companies with some activities leaning towards GIS testing, use and even production in the next year or two.  The majority of these companies are health insurance companies or large PBMs.


Only one company is actively using GIS, but for standard public health style regional reporting, not for health prevention, surveillance or any of the more aggressive methods of making the best use of GIS.  Another company employs GIS for one to a few clients per year, 5 projects per year; all for retrospective special queries; none for preventive care or active quality improvement planning processes.

A series of companies are in the Big Data market as storage facilities and software producers.  Some have primitive GISing set up; none of these GIS surpass the other GIS programs already out there.  The primary advantage to employing their GIS is efficiency, but quality is poor compared with the more advanced systems out there, and have very poor services based upon the knowledgebase for IT personnel.  These are some of the top providers of GIS in this country for potential use in EMR analyses.

The total of companies reviewed for this evaluation is close to 350 at this point, with most heavily clustered along the east coast and in a number of metropolitan settings away from the Atlantic States, inland to Ohio.

ESRI of course is not included in this analysis, nor are the high tech RS/GIS companies that provide surveillance and routinely use GIS/RS tools.  These companies also do not engage in health care analysis for the most part, and so are excluded from this work. (There is less than a handful of exceptions, which do manage national homeland security as well as Healthcare systems related HIT contracts, which are included on this map.)

The number of non-zero hits for companies employing GIS in a primitive fashion is about 6/300 or 2%; of these, none are devoted to daily, weekly or regular GIS use throughout much of the year, and none are engaged in daily or regular surveillance GIS work, the purpose of my design of a fast-operating NPHG series of mapping algorithms.






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