Clinical Decision Support System
Abstract
Clinical decision-support systems (CDSS) apply best-known medical knowledge to patient data for the purpose of generating case-specific decision-support advice. CDSS forms the cornerstone of health informatics research and practice. It is an embedded concept in almost all major clinical information systems and plays an instrumental role in helping health care achieve its ultimate goal: providing high quality patient care while, at the same time, assuring patient safety and reducing costs. This computer based systems designed to impact clinician decision making about individual patients at the point in time that these decisions are made. If used properly, CDSS have the potential to change the way medicine has been taught and practiced. The clinical decision support systems, summarize current data on the use and impact of clinical decision support systems in practice, and will provide guidelines for users to consider as these systems begin to be incorporated in commercial systems, and implemented outside the research and development settings. The discussion also includes the key technological considerations of CDSS and the barriers inhibiting its widespread adoption and effective use.
Purpose of the Report (Objective):
The objective of this paper "Clinical Decision-Support Systems” (CDSS) is to determine the importance of computerization in healthcare industry and how computerization helps this industry to improve the training, patient satisfaction, improve the quality of care, implement evidence based medical research, and minimize medication errors, and how this will help the practice for better performance and patients comfort. To evaluate the acquisition for Clinical decision-support system initiative, organizations should evaluate key practice used by the organization against best practices. The main purpose of modern CDSS is to assist clinicians at the point of care. Scientifically based clinical guidelines have become increasingly used to
Clinical decision-support systems (CDSS) apply best-known medical knowledge to patient data for the purpose of generating case-specific decision-support advice. CDSS forms the cornerstone of health informatics research and practice. It is an embedded concept in almost all major clinical information systems and plays an instrumental role in helping health care achieve its ultimate goal: providing high quality patient care while, at the same time, assuring patient safety and reducing costs. This computer based systems designed to impact clinician decision making about individual patients at the point in time that these decisions are made. If used properly, CDSS have the potential to change the way medicine has been taught and practiced. The clinical decision support systems, summarize current data on the use and impact of clinical decision support systems in practice, and will provide guidelines for users to consider as these systems begin to be incorporated in commercial systems, and implemented outside the research and development settings. The discussion also includes the key technological considerations of CDSS and the barriers inhibiting its widespread adoption and effective use.
Purpose of the Report (Objective):
The objective of this paper "Clinical Decision-Support Systems” (CDSS) is to determine the importance of computerization in healthcare industry and how computerization helps this industry to improve the training, patient satisfaction, improve the quality of care, implement evidence based medical research, and minimize medication errors, and how this will help the practice for better performance and patients comfort. To evaluate the acquisition for Clinical decision-support system initiative, organizations should evaluate key practice used by the organization against best practices. The main purpose of modern CDSS is to assist clinicians at the point of care. Scientifically based clinical guidelines have become increasingly used to