Medical care that is optimal for the patient’s health by the current level of medical science, diagnosis, age, and response to treatment can be considered high-quality healthcare. To provide it, medical personnel and doctors need to have professional competence, which is the presence of the skills and knowledge of medical workers. Using them in their work is relevant, following generally accepted standards, clinical guidelines, and protocols. Poor professional competence is expressed not only in minor deviations from standards but also in gross mistakes that can reduce the effectiveness of treatment, which can endanger health and even human life.
The more competencies a medical worker has, the better the service they provide to the patient. Considering the multi-nationality of countries, cultural competence is essential, the goal of which is to reduce inequalities and to provide optimal care for patients regardless of their race, gender, ethnicity, and religious or cultural beliefs. In addition, hospitals are increasingly embracing advanced technologies from operations management to documentation, IT systems, and diagnostics are helping doctors and nurses achieve feats (Dash et al., 2019). Therefore, nursing informatics is now one of the most relevant disciplines to master to provide better quality medical care that the population needs.
This course helped me to take a critical look at the entire system of providing medical care to patients. This made it possible to identify my own shortcomings and change the situation through increased knowledge on the topic and greater awareness. Medical personnel and doctors are currently required to have many competencies, including non-core ones such as cultural competence and informatics. By establishing a connection with the patient through acceptance, awareness, loyalty, and professional competence, trust between the patient and the medical staff increases, directly affecting the quality of medical care.
Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: management, analysis and future prospects. Journal of Big Data, 6(1), 1-25.