Today, healthcare has become a progressive industry with novel techniques, approaches and findings in this field quickly being evaluated and improved. One of these approaches is patient-centered care (PCC), which is defined essentially as an approach that respects and responds to individual patient’s preferences, needs and values. As such, PCC concept focuses not only on the disease, but also on leveraging specific information of a patient. PCC approach is therefore going to enlarge the role of patients and families in the process of clinical decision making. Still, the authors are observing the lack of innovation in this particular domain. In this paper, the authors develop the concept of patient knowledge management (PKM) based on customer knowledge management and PCC approaches. PKM creates many values such as decreasing opportunity costs and treatment costs, aiding patient decision making to be efficient and effective, as well as creating new knowledge and developing new treatment methods.

In modern-day developing countries, there are certain key problems in the healthcare system that adds to a patient’s confusion. An example of these difficulties relates to choosing an appropriate medical specialty and among specialists. Owing to the lack of structural healthcare services, there is the need for guidance in selecting the most appropriate diagnosis and medicine for patients with various symptoms or physical disabilities, the need to educate patients on self-treatment procedures, the need to reduce the high cost of treatment and diagnosis, the need to address boring procedures of diagnosis and treatment, the lack of adequate strategic planning due to the absence of valuable information about patients, the problems connected with unnecessary traffic congestion, and many more. Together, these problems create a great opportunity for the expert analysts to ameliorate the healthcare system in these countries by applying new methods, such as using web-based programs and data mining (DM). This article focuses on the use of software, healthcare data warehouse and the application of DM to generate models for solving the aforementioned problems.