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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 ...
Patient-centered decision support The ordering process includes a display of the patient's medical history and current results and evidence-based clinical guidelines to support treatment decisions. Often uses medical logic module and/or Arden syntax to facilitate fully integrated Clinical Decision Support Systems (CDSS). Patient safety features
Clinical decision support system; Clinical quality management system; Collaborative decision-making software; D. D-Sight; E. Executive information system; Expert system;
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 ...
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]
Decision-support: Electronic health records could also support clinical decision support systems. [47] Personalized medicine: They could be used among other biodata for digital twins (also called health avatars) for personalized medicine. [48] [49] mHealth integration: They could be coupled with mHealth mobile applications and wearable ...
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Healthcare quality and safety require that the right information be available at the right time to support patient care and health system management decisions. Gaining consensus on essential data content and documentation standards is a necessary prerequisite for high-quality data in the interconnected healthcare system of the future.