Optimizing systems of care for patients with acute myocardial infarction. STEMI networks, telemetry ECG, and standardized quality improvement with systematic data feedback

Rapid revascularization of the infarct-related artery importantly affects prognosis in the treatment of acute ST elevation myocardial infarction (STEMI). Treatment results can be improved significantly when a STEMI-specific structure of care is created and when systematic quality improvement measures are implemented. The necessary structural measures include establishing or participating in myocardial infarction networks. When local hospitals collaborate in a network, it becomes feasible to offer round-the-clock primary coronary intervention to patients of those participating hospitals that do not have a catheterization laboratory on site. Another important structural step is to acquire and install prehospital twelve-lead ECG systems capable of remote telemetric transmission. This provides a solid basis for diagnosing STEMI with speed and accuracy and can prove to be highly effective in anchoring the chain of alert and treatment. As a consequence, two important goals can be realized: (1) intentionally bypassing the non-interventional hospital, and (2) systematically bypassing the emergency room of the interventional center. Both of these measures entail important time savings. An efficient instrument for improving treatment times is the implementation of a standardized quality improvement process with formalized data collection and analysis as well as with systematic data feedback to all systems and individuals involved in the early phase of treating STEMI patients within the hospital network including the emergency medical responder systems. The positive effect of such data feedback on treatment quality is contingent on the perception by all those involved that the data obtained for each patient are absolutely valid. Thus, those data need to be verifiable and an independent monitoring process should be created.Furthermore, the systematic use of standardized risk scores should be promoted in an effort to compare and adjust patient risk when analyzing network data. It is critically important that all appropriate patients-including those with a high risk of mortality--have access to rapid interventional treatment. Only when the individual risk of treated patients is taken into account will it be possible to compare quality of care and mortality rates. In general, the comparison between different hospitals, systems and regions is highly problematic and not feasible without considering local factors. It harbors the danger of inducing changes in practice in ord