Abstract: Developing new methods and solutions of personalized medicine can address many current sosio-economical challenges both locally and globally. The investments made to support health can help people to have an independent, productive and happy life. To motivate the development of new patient support tools we illustrate the need for better health literacy and patient engagement, some common frameworks for modeling medical knowledge and some ways to support patients with online health queries and shared decision making. Then we provide some experimental results we have generated by semantic analysis about healthcare guidelines offered by The Finnish Medical Society Duodecim containing 85 055 words so that we created a conceptual network of 57 679 unique conceptual links traversed with 200 000 link steps. We suggest that our approach to semantic modeling of medical knowledge can be modularily applied to develop varied computational solutions for personalized medicine and health informatics.