Health Information Management: Integrating Information Technology ...
Health Information Management: Integrating Information Technology ...
Health Information Management: Integrating Information Technology ...
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36 STARTING POINTS<br />
laboratory data—generated by lab computers—are directly taken out of HIS in<br />
the ICU application. Put differently, the ‘digitalization’ of medical practices<br />
itself contributes to their further automation.<br />
technology. The developmental processes are too complex for identifying such<br />
simple, causal lines. The need for a closer link between patient record and<br />
hospital bill is one of the incentives for introducing the EPR—yet, conversely,<br />
the link itself fosters the need. Once it becomes possible to link individual<br />
patient data to financial data, the tendency to refine financial administrative<br />
procedures will be difficult to counter. Similarly, the EPR does not simply<br />
‘cause’ organizational change: it may stir up, hinder or deflect developments that<br />
were already in motion, for example, or trigger a change process that will thereafter<br />
interweave with many other ongoing developments. The changing professional<br />
role of the general physician, the shifting power of the insurance company, the<br />
changing job definitions of health care professionals, the role of the patient—all<br />
those issues are bound up with the introduction and development of EPRs, yet<br />
none is simply ‘determined’ by it.<br />
The historical episodes discussed above also again illustrate the irregularity of<br />
the trajectories in which technologies are being shaped as well as the unpredictable<br />
interplay between the various driving forces involved. While Dutch general<br />
physicians were one of the world leaders in the application of EPRs only five<br />
years ago, for example, their systems’ vendors are now massively ending further<br />
developments of these GPISs. In a small market, with highly demanding<br />
customers (the GPs), and others arguing that separate GPISs had become<br />
obsolete, newer generation GPISs seem simply too costly and risky to produce.<br />
Similarly, the early UK emphasis on market research and disease management<br />
has undoubtedly marked the subsequent development of newer UK GP<br />
information systems—the demise of these first systems notwithstanding. Twenty<br />
years later, UK GP information systems are strikingly different from their Danish<br />
and Dutch counterparts in their emphasis on making quite detailed registration on<br />
patients’ medical and social history and life style factors.<br />
Undoubtedly, the Danish and Dutch professional organizations of general<br />
physicians started out to tackle the issue in a strategic way. Both considered the<br />
EPR as a tool to protect and enhance the professional position of the physician<br />
(see also Chapter 4). Because of the well-designed GPIS, the Dutch general<br />
physicians strengthened their role as a central organizational node of the health<br />
care system, where patient data are gathered and stored—thus enabling their role<br />
of patient record coordinator. Yet the physicians’ professional organizations<br />
were just one actor in the overall network. The Dutch government—later on<br />
followed by the insurance companies—decided to support GPIS because it<br />
anticipated that automated data processing would also benefit its own<br />
information needs. Moreover, an important explanation of the early success of<br />
GPISs is the Dutch and Danish ‘gatekeeper’ system that operates on the