Purpose: The article shows the method of modeling population segments on health behavior of patients in Poland and the possibility of including this module in decision-making processes in public health management. Design/methodology/approach: Healthcare systems in different countries are different. However, in each of them it is important to make the right decisions. Health protection is a specific area, quick and right decisions can save health and life. Making decisions based on evidence, facts and research should be a standard. The development of information technology makes it possible to collect and process a big data registered in various systems. Findings: Patient behavior models can be created and they should be part of the MIS. On this basis can be created better predictive models for managers' decision making. Analysis based on a representative research sample of 1067 people. Practical Implications: Institutions responsible for analyzing health care systems report that the use of databases to make decisions about treatment is much more frequent than the use of databases to make decisions about public health management. Doctors use the bases more often than managers. However, doctors do not analyze the health behavior of the population. Healthcare managers should be very interested in creating good and integrating databases. Originality/Value: There are tele-medical devices monitoring the health of people. They should be interested in the integration of databases administered by various institutions, not only medical services providing. In public health Management Information Systems (MIS), can and even need to be included modules related to health behavior of the population. Health behaviors concern preventive health, behavior in health and in illness. The area of health behavior of the population is very large. It is also the influence of the environment on people's decisions-health promotion, pharmaceutical marketing, etc.
Purpose:The aim of the article is to show the importance of reasoning (cognitive models) and experience of managers as a key success factor in implementation of management information systems (MIS). An important goal of the article is also to identify information needed and the importance of information and management decision support systems in healthcare which is one of the important sectors of the economy. Design/Methodology/Approach: The article is based on secondary and primary research. The literature in the area of decision support systems in management and factors that influence the success of implementing these systems were analysed. Quantitative and qualitative research was carried out on the information systems of health care facilities and information needs of decision makers. The conclusions of the research were based on the following research, in-depth group interviews (FGI), individual in-depth interviews (IDI) with directors of medical facilities (27), interviews with facility employees (PAPI), interviews with patients (PAPI), Delphi study using the CAWI technique. Findings: There is a great need to implement decision support systems due to the growing amount of information available to managers and the need to process it quickly. Practical Implications: The article presents a unique approach showing how the cognitive systems of managers and their way of reasoning influence the type and specifics of management decision support systems. Originality/value: The article presents a unique approach showing how the cognitive systems of managers and their way of reasoning influence the type and specificity of management decision support systems.
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