BIS Research - Emerging Technology Market Intelligence

CDSS to Drastically Reduce Medical Errors

Feb 15, 2018 9:13:51 AM / by BIS Research posted in cdss clinical decision support, cdss market size, clinical decision support system market size, Clinical decision support systems, clinical decision support systems market analysis, clinical decision support systems market forecast, clinical decision support systems market trends, Cloud based Global Clinical Decision Support Syste, Global Web based Clinical Decision Support System, Addressable Market Size and Growth Potential, Architecture of Clinical Decision Support System, Global Clinical Decision Support Systems (CDSS) Ma, Global Clinical Decision Support Systems Market, Global Clinical Decisions Support Systems Market, Global Integrated Clinical Decision Support System, Healthcare & Medical, Global Standalone Clinical Decision Support System, Integrated Clinical Decision Support Systems, Standalone Clinical Decision Support Systems

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Nowadays the horizon of the information technology is expanding in every field from business to healthcare. Despite of such advancement in IT, the healthcare sector still incurs a loss of $1 trillion in medication errors, of which the US economy alone accounts a loss of $21 billion. Dosing errors, drug allergies and harmful drug interactions constitute 50% of these errors. These loses has stimulated the need of better clinical- decision making by integrating state of the art knowledge with medical records system. Clinical decision support system (CDSS) can reduce the medication error by over 85% through the deployment of the e-prescribing system, Barcode, Electronic Medication Administration System (eMAR) and Computerized Physician Order Entry (CPOE). CDSS assists physicians and health professionals with clinical decision- making tasks supporting them in diagnosis and treatment. With the rise of artificial intelligence and data analytics, it is expected that CDSS would expand in manifold in the coming decade. Because within the coming decade, machines capable of deciphering physicians’ notes from hospital or clinic encounters, radiology and procedure reports, prescription and lab results data would be more commonly in use as compared to present scenario.

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