Health Information Technology-Geographic Information Systems or HIT-GIS is the name I have given to a healthcare information system that is focused on spatial epidemiology and population health analysis, with the goal of improving the current healthcare system that is operating.
The electronic medical record (EMR) was defined several decades ago as the attempt to keep patients’s health histories in one place, where they could be accessed years later and from different locations.
The potential impact such a system might have on health care was first discussed extensively at a conference in New York City, when corporate and government defined and driven health maintenance organizations were first being developed.
EMRs serve as the main framework for producing a productive and useful health information technology [HIT] system. The EMR-HIT in turn puts medical and personal patient records data in order, in such as way that comparisons can be made between people who can somehow be grouped together. Those groups in turn can be contrasted and compared with other health groups, and the various aspects of care in terms of patient’s health, patient’s health improvement, patient’s services, and patient’s cost for these services can be compared. Similarly, the quality of service and need for services can be evaluated for different physicians or care givers, different physician groups, different businesses, office and facilities, and different programs managed by the various unions, companies and large scale health insurance companies. To date, due mostly to corporate and institutional resistance, an effective EMR-HIT system has only been developed at a fairly simplistic or rudimentary level.
The HIT-GIS is the next generation of this information technology. The transition of EMR and HIT into a combined structures, non-structured data analysis system capable of machine generated analyses is parallel with the potential transition of HIT and its EMR into an HIT-GIS system in which the data (structured and non-structured) are analyzed, and them mapped.
I developed an HIT-GIS system and process for storing, managing, analyzing and reporting on all forms of health and healthcare related data.
By analyzing the details of an exceptionally large, big data, health care service related data warehouse setting, I’ve been able to establish some rules and methods for quantifying the mass amounts of data being acquired and incompletely tested.
The sections attached to this page go through my logic and method for reviewing EMR-HIT and potentially valuable HIT-GIS data.