Clinical Decision Support System

4731 words 19 pages
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
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Insurance companies have also been actively engaged. They either funded health IT directly, or provided financial incentives to medical practices for adopting information technology. The purpose was to reduce administrative costs in processing paper-based claims, thereby improving the quality and timeliness of health data submitted by medical facilities.
For 40 years, clinical decision support systems (CDSS) have promised to revolutionize healthcare. In fact, when the government recently mandated electronic health record (EHR) systems in all healthcare facilities, one of the key objectives is to promote better and cheaper healthcare using CDSS based on the patient data collected from the EHRs. With the large amount of new data collected by the newly installed EHR systems, computers like the Watson will be able to find optimal answers to clinical questions much more efficiently than the human mind.
Two major categories of CDSS are diagnostic support tools and treatment support tools. Diagnostic support helps physicians make a better diagnosis based on the patient symptoms, medications, and medical records. Diagnostic error is the number one cause of malpractice lawsuits against healthcare providers. Therefore, helping physicians avoid common cognitive errors and make better diagnoses is a priority. Treatment support, on the other hand, helps clinicians stay compliant with known

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