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Clinical Decision Support Systems represent a transformative technology in healthcare, offering substantial benefits in clinical practice, patient safety, and healthcare efficiency. While challenges remain in implementation and adoption, ongoing advancements in technology and healthcare delivery are poised to further enhance the capabilities ...
The American Nurses Association recognized the Omaha System as a standardized terminology to support nursing practice in 1992. In 2014, Minnesota became the first state to recommend that point-of-care terminologies recognized by the American Nurses Association be used in all electronic health records. The evidence underlying this decision was a ...
Clinical decision support system; Clinical quality management system; Collaborative decision-making software; D. D-Sight; E. Executive information system; Expert system;
[98] [99] AI in primary care has been used for supporting decision making, predictive modeling, and business analytics. [100] There are only a few examples of AI decision support systems that were prospectively assessed on clinical efficacy when used in practice by physicians.
SystmOne is a centrally hosted clinical computer system developed by Horsforth-based The Phoenix Partnership (TPP). It is used by healthcare professionals in the UK predominantly in primary care. The system is being deployed as one of the accredited systems in the government's programme of modernising IT in the NHS.
Analysis of accuracy has shown promise in DXplain and similar clinical decision support systems. In a preliminary trial investigation of 46 benchmark cases with a variety of diseases and clinical manifestations, the ranked differential diagnoses generated by DXplain were shown to be in alignment with a panel of five board-certified physicians. [6]
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
A large part of industry focus of implementation of AI in the healthcare sector is in the clinical decision support systems. As more data is collected, machine learning algorithms adapt and allow for more robust responses and solutions. [9] Numerous companies are exploring the possibilities of the incorporation of big data in the healthcare ...