Decision making for treatment in medicine looks after the benefit the patient. It plays a cruicial role in right treatment of patients.The digitization of the healthcare system has made patient benefit increasingly dependent on prudent use of data. A firm analytical knowledge is needed for this adjustment and transformation. In addition to these problems, another problem is non-adherence to clinical guidelines when making treatment decisions.

The platform approach improves results and workflow. These problems will be difficult to solve without adequate digital support in making clinical decisions. Using the use of workflow orchesto-graphy, the platform has improved the coordination of reading images, which allows all media radiologists to co-operate as one team regardless of the location. However, health care providers increasingly have to use the support of advanced digital solutions to bring a wealth of data to discuss them and use it in a preferred method. It helps in decision making for treatment for betterment of patients.

The goal of MDSS is to strengthen, not replace the natural abilities of human diagnosticians in the complex process of medical diagnosis. Efforts in diabetes technology focus on measuring, identifying patterns, and drawing conclusions about the condition of a patient or population to make the right decisions. These processes correspond to the basic principle of computer science, which describes the hierarchy of data, information and knowledge. Modern technology is revolutionizing the collection of data, the articulation of information and knowledge, and the development of solutions based on knowledge derived from new types of data and information. These data will definitely help in decision making for treatment.

Data are objective facts or observations that have not been analyzed in any way. The data is accepted as reliable and verifiable. Data can be considered a number of sensory stimulation (for example, light, sound, smell, taste and touch), perceived by our own feelings or the same types of signals detected by artificial sensors. In some cases, these technologies are not intended to make the best solutions. The quality of psychotherapy can vary widely, and healthcare providers are usually unable to judge their own skill level or adherence to treatment. Research providing automatic feedback to consultants on training, supervision and quality control is just starting, and more research is needed to evaluate 4,444 mobile devices (such as smartphones) and wearable biosensors (such as fitness bracelets) that can increase the amount of , data quality and time accuracy to inform the MBC through “passive” data collection requiring minimal user effort and data delivery with minimal distortion of self-assessment.