Decision Support for Mental Health

2014 ◽  
Vol 4 (2) ◽  
pp. 53-65
Author(s):  
Jan Kalina ◽  
Jana Zvárová
Keyword(s):  
Mental Health ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Decision Making Process ◽  
Basic Principles ◽  
Points Of View ◽  
Concept Of Information ◽  
Based Medicine ◽  
General Perspective

Decision support systems represent an important tool offering assistance with the decision making process in a variety of applications. This paper starts with recalling the basic principles and structure of decision support systems in medicine from a general perspective. Their effect in terms of both potential and limitations for finding the diagnosis, prognosis and therapy are overviewed from the points of view of health care effectiveness and patient safety. The authors are particularly interested in the specialty field of psychiatry. They discuss its specific challenges and analyze the slower penetration of telemedicine tools to psychiatry compared to other clinical fields. Finally, they claim that the development of decision support systems play a key role in the development of the concept of information-based medicine in general as well as to the particular context of information-based psychiatry.

Decision Support for Mental Health

2016 ◽  
pp. 1-14
Author(s):  
Jan Kalina ◽  
Jana Zvárová
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Basic Principles ◽  
Concept Of Information ◽  
Based Medicine ◽  
General Perspective

Decision support systems represent an important tool offering assistance with the decision making process in a variety of applications. This paper starts with recalling the basic principles and structure of decision support systems in medicine from a general perspective. Their effect in terms of both potential and limitations for finding the diagnosis, prognosis and therapy are overviewed from the points of view of health care effectiveness and patient safety. The authors are particularly interested in the specialty field of psychiatry. They discuss its specific challenges and analyze the slower penetration of telemedicine tools to psychiatry compared to other clinical fields. Finally, they claim that the development of decision support systems play a key role in the development of the concept of information-based medicine in general as well as to the particular context of information-based psychiatry.

Mental Health Clinical Decision Support Exploiting Big Data

2019 ◽  
pp. 160-184 ◽  
Author(s):  
Jan Kalina
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
Big Data ◽  
Decision Support ◽  
Decision Support Systems ◽  
Clinical Decision Support ◽  
Clinical Decision Making ◽  
Support Systems ◽  
Clinical Decision Support Systems ◽  
Clinical Decision

The complexity of clinical decision-making is immensely increasing with the advent of big data with a clinical relevance. Clinical decision systems represent useful e-health tools applicable to various tasks within the clinical decision-making process. This chapter is devoted to basic principles of clinical decision support systems and their benefits for healthcare and patient safety. Big data is crucial input for clinical decision support systems and is helpful in the task to find the diagnosis, prognosis, and therapy. Statistical challenges of analyzing big data in psychiatry are overviewed, with a particular interest for psychiatry. Various barriers preventing telemedicine tools from expanding to the field of mental health are discussed. The development of decision support systems is claimed here to play a key role in the development of information-based medicine, particularly in psychiatry. Information technology will be ultimately able to combine various information sources including big data to present and enforce a holistic information-based approach to psychiatric care.

Data Standards for Mental Health Decision Support Systems: Mental Health Service Reports

1989 ◽  
Author(s):  
Walter A. Leginski ◽  
Colette Croze ◽  
John Driggers ◽  
Shirley Dumpman ◽  
Dennis Geertsen ◽  
...  
Keyword(s):  
Mental Health ◽  
Decision Support ◽  
Mental Health Service ◽  
Health Service ◽  
Decision Support Systems ◽  
Support Systems ◽  
Data Standards ◽  
Health Decision

scholarly journals Analysis of the methods of automated control over multidimensional objects on the basis of intelligent systems

2018 ◽  
pp. 42-49
Author(s):  
L. Ya. Chуhur
Keyword(s):  
Information Technology ◽  
Decision Support ◽  
Expert Systems ◽  
Decision Support Systems ◽  
Intelligent Systems ◽  
Support Systems ◽  
Software Environment ◽  
Automated Control ◽  
Multidimensional Objects ◽  
Concept Of Information

The paper deals with the analysis of automated control over multidimensional objects based on the principles of intelligent systems. At present such systems include decision support systems and expert systems. The main feature of information technology of decision support is a qualitatively new method of organizing the interaction between a man and a computer. The development of solutions is the main purpose of this technology. The similarity of automated control methods based on information technology used in expert systems and decision support systems is that they both provide a high level of decision support. However, in practice, there are significant differences. One of them is that solving a problem in decision support systems reflects the level of its understanding by the user and his ability to get and understand the solution. Another one is in the ability of expert systems to explain this solution and to use the concept of information technology as knowledge. From the perspective of the above features of these systems, we have made a conclusion about the practicability of using expert systems, namely, dynamic, working in real time that allow to quickly and qualitatively carry out automated control in the production. They enable the expert to make the best decision, even if knowledge of the situation goes beyond his competence. An important role in the expert systems development is played by the software environment that is used during its implementation. The article also deals with the functioning and connection of the software product with the outside world - the object-oriented integrated environment G2, on the basis of which many modern expert systems are built. The areas of application of such intelligent systems are determined and some of the tasks that they are solving are outlined.

Mental Health Clinical Decision Support Exploiting Big Data

2021 ◽  
pp. 983-1000
Author(s):  
Jan Kalina
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
Big Data ◽  
Decision Support ◽  
Decision Support Systems ◽  
Clinical Decision Support ◽  
Clinical Decision Making ◽  
Support Systems ◽  
Clinical Decision Support Systems ◽  
Clinical Decision

The complexity of clinical decision-making is immensely increasing with the advent of big data with a clinical relevance. Clinical decision systems represent useful e-health tools applicable to various tasks within the clinical decision-making process. This chapter is devoted to basic principles of clinical decision support systems and their benefits for healthcare and patient safety. Big data is crucial input for clinical decision support systems and is helpful in the task to find the diagnosis, prognosis, and therapy. Statistical challenges of analyzing big data in psychiatry are overviewed, with a particular interest for psychiatry. Various barriers preventing telemedicine tools from expanding to the field of mental health are discussed. The development of decision support systems is claimed here to play a key role in the development of information-based medicine, particularly in psychiatry. Information technology will be ultimately able to combine various information sources including big data to present and enforce a holistic information-based approach to psychiatric care.

Decision Support Systems in the Process of Improving Patient Safety

2013 ◽  
pp. 1113-1125 ◽  
Author(s):  
Jan Kalina ◽  
Jana Zvárová
Keyword(s):  
Patient Safety ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Healthcare Facility ◽  
Point Of View ◽  
Basic Principles ◽  
Genetics Research ◽  
User Friendly

The chapter presents decision support systems in medicine, their basic principles, and structure. From the point of view of patient safety, the decision support systems can bring new unexpected sources of errors, which must be anticipated at the design, implementation, and validation stages. Nevertheless, a safe and easy-to-use system can greatly improve the quality of determining the diagnosis, prognosis, and therapy in healthcare. The authors of this chapter concentrate on the contribution of decision support systems to patient safety and on their potential to future contributions. A decision support system requires a user-friendly interface with the electronic health record and information system within the healthcare facility. The authors also present two examples of decision support systems from the genetics research.

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