Conclusions

The pulmonary artery catheter has translated information previously only available in the cardiac catheterization laboratory to the bedside of patients in intensive care and has changed the approach to treating these patients. Similarly, non-invasive monitoring combined with advanced information systems can change the way that we treat severe acute illnesses as both these technologies are applied more broadly to improve analysis of interactions of multiple continuous functions as they unfold in time. In addition, intelligent programs will be used to individualize (i.e. customize) complex therapeutic algorithms according to clinical categories, comorbid states, demographic data, and time. They will be used to describe the postoperative trajectory of multiple variables and to predict the outcome of a given patient with known comorbid conditions in concert with the trajectories of a group of survivors and a group of non-survivors with the same comorbid conditions ( Sho§m§k§L§t„§l: 1.992b;

Shoemaker, W.C., Patil, R., Appel, P.L., and Kram, H.B. (1992 b). Hemodynamic and oxygen transport patterns for outcome prediction, therapeutic goals, and clinical algorithms to improve outcome: feasibility of artificial intelligence to customize algorithms. Chest, 102, 617S-25S.

Shoemaker, W.C., et al. (1994). Multicenter trial of a new thoracic electric bioimpedance device for cardiac output estimation. Critical Care Medicine, 22, 1907-12.

Shoemaker, W.C., Patil, R., Appel, P.L., and Kram, H.B. (1992 b). Hemodynamic and oxygen transport patterns for outcome prediction, therapeutic goals, and clinical algorithms to improve outcome: feasibility of artificial intelligence to customize algorithms. Chest, 102, 617S-25S.

Shoemaker, W.C., et al. (1994). Multicenter trial of a new thoracic electric bioimpedance device for cardiac output estimation. Critical Care Medicine, 22, 1907-12.

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