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This paper examines the paper of Haux et al. in this issue of this journal. It gives some background on specifics of the German health care system, which underlie the theses and prognoses proposed by Haux et al. In analogy to a forecast of the future of health informatics, which is now 10 years old, I then suggest that these attempts meet two types of challenges:•that of overestimating the positive effects of recent advances, which later are found not to scale up; and•that of blind spots with respect to unforeseen significant advances.The attempt to find indications of such in the projections of Haux et al. leads, among other, to the conclusion that the projections of direct linkages between patients and care providers may be overoptimistic. As to wheather the deviating opinions matter in the end, it is concluded that the technology advances may require less attention that the restructuring of the health care system required to take advantage of the advances of technology. [Copyright &y& Elsevier]

Applying information and communication technology (ICT) to a given medical domain is not merely adding a new technique. When applied to a medical domain, ICT has the potential to radically change processes in that domain. In their paper ‘Health care in the information society: a prognosis for the year 2013’ Haux and co-workers provide us with a set of predictions based on progress in three main areas: (1) patient-centred recording and use of medical data for collaborative care; (2) process-integrated decision support; and (3) comprehensive use of patient data for research and health care reporting. We complement their theses by predicting some of the feedback mechanisms that will develop as ICT is shaping health care. Feedback is return to the input of a part of the output of a mechanism; this part of the input constituting information that reports discrepancies between intended and actual operation and leads to a self-correcting action that can be utilised. We discuss feedback in the areas Haux identifies: the patient record, decision support, and the use of data for research and health care reporting. For each of these domains, we will discuss the output that serves as input, the discrepancies discovered, and the self-correction that will or should follow. [Copyright &y& Elsevier]