The aim of this paper is to use Text mining(TM) concepts in the field of Health care System. We no that now days decision making in health care involves number of opinions given by the group of medical experts for specific disease in the form of decisions which will be presented in medical database in the form of text. These decisions are then mined from database with the help of Data Mining techniques. Text document clustering is considered as tool for performing information based operations. For clustering normally K-means clustering technique is used. In this paper we use Bisecting K-means clustering technique and it is better compared to traditional K-means technique. The objective is to study the revealed groupings of similar opinion-types associated with the likelihood of physicians and medical experts.