Decision Support Systems In Clinical Practice Research Articles

Decision support systems in the diagnosis of urological diseases

The need to process large amounts of data has led to the creation of software that can improve and facilitate the work of medical staff. Decision support systems (DSS) are now used in many branches of medicine both at the outpatient and inpatient stages of medical care, helping clinicians to choose the tactics of treatment and management of each individual patient. These systems to a certain extent can improve treatment results and diagnostic process. The introduction of DSS in clinical practice has shown many advantages in reducing the frequency of misdiagnosis and, consequently, the risk of medical errors. At the same time, DSS can have a number of disadvantages. For example, physicians may view them as a threat to their “clinical autonomy”, and the implementation and subsequent maintenance of DSS can be quite costly. Artificial intelligence, which is increasingly being used not only for diagnosis, but also for treatment and prediction of outcomes in various diseases, should be considered as a prerequisite for the creation of DSS. Active development of artificial intelligence has been noted in almost all branches of medicine. A non-systematic review of the available literature published in the period between 2012 and 2022 has shown that the application of AI in prostate cancer diagnosis has great potential in clinical practice, as it helps both in the choice of treatment method and in planning the course of further surgery.

A Clinical Decision Support System Design Framework for Nursing Practice

AbstractBackground As nurses increasingly engage in decision-making for patients, a unique opportunity exists to translate research into practice using clinical decision support systems (CDSSs). While research has shown that CDSS has led to improvements in patient outcomes and nursing workflow, the success rate of CDSS implementation in nursing is low. Further, the majority of CDSS for nursing are not designed to support the care of patients with comorbidity.Objectives The aim of the study is to conceptualize an evidence-based CDSS supporting complex patient care for nursing.Methods We conceptualized the CDSS through extracting scientific findings of CDSS design and development. To describe the CDSS, we developed a conceptual framework comprising the key components of the CDSS and the relationships between the components. We instantiated the framework in the context of a hypothetical clinical case.Results We present the conceptualized CDSS with a framework comprising six interrelated components and demonstrate how each component is implemented via a hypothetical clinical case.Conclusion The proposed framework provides a common architecture for CDSS development and bridges CDSS research findings and development. Next research steps include (1) working with clinical nurses to identify their knowledge resources for a particular disease to better articulate the knowledge base needed by a CDSS, (2) develop and deploy a CDSS in practice using the framework, and (3) evaluate the CDSS in the context of nursing care.

SABER and MyDispense: Building better pharmacy education through innovation and sharing

Information technology (IT) is increasingly a part of everyday life for health professionals. Technology such as decision support systems (DSS) and electronic health records (EHR) have great potential in improving practice efficiency and standard, and improve patient outcomes; however, like most health IT, available programs are often lacking in usability and efficiency. To improve the quality of IT available, health professionals need to be actively involved in the developmental process, from early planning stages to final testing and feedback. Aims: To gain insight into the role of IT in the health sector and pharmacy. To explore what the general requirements are of complex DSS used by health professionals. To discuss if and how these requirements change depending on practice setting. To gain insight into what skills are needed to be involved in different stages of health IT development. Learning objectives: By the end of the session participants should be able to: Describe the different types of IT used in the health sector and pharmacy. Describe the role of EHR, computer physician order entry systems dispensing systems, DSS and how these systems are related. Involved in the development of a usable health IT. Description of Workshop Activities: This workshop is aimed at health practitioners, researchers, policy makers, and other parties interested in health IT. During this workshop participants will be shown a short presentation describing a) different types of health IT, and b) the development process of a prototype DSS to illustrate how health professionals can be involved in health IT development. This will be followed by small group discussions on the requirements for DSS in clinical practice and various environments, a demonstration of a DSS developed by the authors, and feedback. Additional information (if required): N/A

Health Professional Involvement in Health Information Technology Development: What Can Your Do to Improve Them?

Information technology (IT) is increasingly a part of everyday life for health professionals. Technology such as decision support systems (DSS) and electronic health records (EHR) have great potential in improving practice efficiency and standard, and improve patient outcomes; however, like most health IT, available programs are often lacking in usability and efficiency. To improve the quality of IT available, health professionals need to be actively involved in the developmental process, from early planning stages to final testing and feedback. Aims: To gain insight into the role of IT in the health sector and pharmacy. To explore what the general requirements are of complex DSS used by health professionals. To discuss if and how these requirements change depending on practice setting. To gain insight into what skills are needed to be involved in different stages of health IT development. Learning objectives: By the end of the session participants should be able to: Describe the different types of IT used in the health sector and pharmacy. Describe the role of EHR, computer physician order entry systems dispensing systems, DSS and how these systems are related. Involved in the development of a usable health IT. Description of Workshop Activities: This workshop is aimed at health practitioners, researchers, policy makers, and other parties interested in health IT. During this workshop participants will be shown a short presentation describing a) different types of health IT, and b) the development process of a prototype DSS to illustrate how health professionals can be involved in health IT development. This will be followed by small group discussions on the requirements for DSS in clinical practice and various environments, a demonstration of a DSS developed by the authors, and feedback. Additional information (if required): N/A