In recent years data collection and communication has become increasingly ubiquitous, to the extent where it is possible to capture and communicate many parts of live experiences. In a novel approach, we propose recording of events, interaction, and annotations in order to access characteristics that communicate the reasoning behind the decision-making of care providers. Recording is done with free-form and implicit data collection, and communication of spatio-chronological characteristics of events, interactions, and annotations are done with augmented interfaces. This enables care providers, who make decisions, to identify what factors have played the most significant role in the decision-making. In the context of chronic care, this research is aiming at, better understanding how to capture and communicate the medical decision-making process. Our preliminary experiments show success in communicating the reasoning processes of the document analysis sessions in a lab environment. We have started to look at how this improves reliability and practice outcomes of the decision-making in real-life medical environment.