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In this chapter, we present a new method for the medical field, which can contribute to patient-oriented care, especially in shared decision making. The mental models and conceptions of patients about their illness and the expected care determines their perception, decision and use of the care system - and thus they also influence the adherence. If the illness-health-model as part of the health literacy of the patients is known and recognized by the doctors throughout the decision-relevant processes, this facilitates a working patient-doctor relationship not only on a level of general kind communication. It helps doctors to better understand why patients decide in a certain way and why. By using the computer-linguistic methodology and software presented in this chapter, it is possible to automatically and objectively analyse, aggregate and cluster large data sets of written mental models and beliefs based on the patientsʼ models to create a comprehensive overview of common belief clusters. The results can be visualized on comprehensive knowledge maps and then used by the treating physicians. The knowledge maps are disease-specific and can - after a successful instruction and training - be used by physicians to improve the factual understanding of patient concerns.

rhetorik

Krankheitstheorien und Versorgungserwartung von Patienten sichtbar machen: Grundkonzeption zur Nutzung einer computerlinguistischen Innovation für die medizinische Versorgung