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A Clinical Decision Support System (CDSS) is a computerized tool designed to assist healthcare providers in making clinical decisions by integrating medical knowledge with patient data. These systems utilize algorithms, databases, and patient information to provide tailored recommendations, alerts, and reminders to healthcare professionals at ...
DXplain is a Clinical decision support system (CDSS) available through the World Wide Web that assists clinicians by generating stratified diagnoses based on user input of patient signs and symptoms, laboratory results, and other clinical findings. [1]
Clinical decision support systems are interactive computer programs designed to assist health professionals with decision-making tasks. The clinician interacts with the software utilizing both the clinician's knowledge and the software to make a better analysis of the patients data than either human or software could make on their own.
MDCalc is a free online medical reference for healthcare professionals that provides point-of-care clinical decision-support tools, including medical calculators, scoring systems, and algorithms. [1] MDCalc is also a mobile and web app. [ 2 ] The decision-support tools are based on published clinical research, [ 3 ] and MDCalc’s content is ...
Computerized history-taking could be an integral part of clinical decision support systems. A follow-up procedure is initiated at the onset of the illness to record details of future progress and results after treatment or discharge. This is known as a catamnesis in medical terms.
Examples of medical algorithms are: Calculators, e.g. an on-line or stand-alone calculator for body mass index (BMI) when stature and body weight are given; Flowcharts and drakon-charts, e.g. a binary decision tree for deciding what is the etiology of chest pain; Look-up tables, e.g. for looking up food energy and nutritional contents of foodstuffs
Treatment decision support consists of the tools and processes used to enhance medical patients’ healthcare decision-making. The term differs from clinical decision support , in that clinical decision support tools are aimed at medical professionals, while treatment decision support tools empower the people who will receive the treatments.
The use of AI in applications such as online trading and decision-making has changed major economic theories. [66] For example, AI-based buying and selling platforms estimate personalized demand and supply curves, thus enabling individualized pricing. AI systems reduce information asymmetry in the market and thus make markets more efficient. [67]